-
On the Application of Short-Term Heart Rate Variability Indices to Track Changes in Cognitive Arousal
-
Low Profiled Angiographic Catheter with Enhanced Pushability and Flexibility: A Novel Design, Fabrication, and in-Vitro Analysis
-
Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents
-
Monitoring of Vital Signs in the Home Environment: A Review of Current Technologies and Solutions
-
Analysis of a Simple Method to Change the Wettability of the PDMS Surface for Biomicrofluidic Applications
-
In Vitro Flow Study in an Intracranial Aneurysm Biomodel Manufactured by Additive Manufacturing
-
A Novel Multi-Modal Sensing System Prototype for Cardiovascular and Cardiopulmonary Monitoring
-
A Novel Microfluidic Pressure Sensor for Traditional Chinese Medicine (TCM) Pulse Data Collection and Analysis
-
In silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models
-
4D Printed Surgical Devices: Current Capabilities and Challenges
-
Bioimpedance Simulations for the Monitoring of Fluid Overload in Heart Failure Patients
-
Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement
-
Simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters
-
A Portable System for Screening of Cervical Cancer
-
A Modular BLE-Based Body Area Network Embedded into a Smart Garment for Rescuers Real-Time Monitoring in Emergency Scenarios
-
Enhancing Men’s Health Management at Home with an Easy-to-Use, App-Connected Prostate Self-Testing Device
-
Towards a Synthetic Tissue Model of the Lower Urinary Tract
-
Biomechanical System Prototype with Advanced Biofeedback for Rehabilitation of Bedridden Patients
-
Pattern Genomic Probes Inside Capillary Tubes by Magneto Lithography Method Producing Parallel Detection of DNA and RNA
-
An Analysis of IoMT Vital Signs Measurement Devices for Practical and Secure Remote Clinical Monitoring
-
Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study
-
Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging
-
SalienceNet: An Unsupervised Image-to-Image Translation Method for Nuclei Saliency Enhancement in Microscopy Images
-
Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer
-
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis
-
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation
-
In Vitro Quantification of Cellular Spheroids in Patterned Petri Dishes
-
Automatic Spine Segmentation in CT Scans
-
Prediction of Thyroid Malignancy Using Contextual Semantic Interpretability from Sonograms
-
EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning
-
Mathematical Morphology Based Volumetric Analysis of Bone Density Around Implant in Post-Operational Follow-up of Per-Trochanteric Fractures
-
LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation
-
Skin Tone via Device-Independent Colour Space
-
Retinal Image Segmentation with Small Datasets
-
Simulating Ultrasound Images from CT Scans
-
Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net
-
Condition for Sustained Oscillations in Repressilator Based on a Hybrid Modeling of Gene Regulatory Networks
-
MRQPMS: Design of a Map Reduce Bioinspired Model for Solving Quorum Planted Motif Search for High-Speed Deployments
-
Intelligence-Based Recommendation System for Critical Stroke Management in Intensive Care Units
-
Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory
-
A Formal Probabilistic Model of the Inhibitory Control Circuit in the Brain
-
Local Forward-Motion Panoramic Views for Localization and Lesion Detection for Multi-Camera Wireless Capsule Endoscopy Videos
-
Efficient Hashing of Multiple Spaced Seeds with Application
-
NP-BERT: A Two-Staged BERT Based Nucleosome Positioning Prediction Architecture for Multiple Species
-
Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature
-
Skin Lesion Segmentation Using Attention-Based DenseUNet
-
Prediction of Antimicrobial Peptides Using Deep Neural Networks
-
GediNETPro: Discovering Patterns of Disease Groups
-
DT-ML: Drug-Target Metric Learning
-
GPTree: Generator of Phylogenetic Trees with Overlapping and Biological Events for Supertree Inference
-
PUMP: An Underspecification Analysis Tool
-
System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer
-
Patient Similarity Networks Integration for Partial Multimodal Datasets
-
Formal Analysis of Rewriting System Representing RNA Folding
-
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data
-
MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions
-
Separation of Concerns in an Edge-Based Compartmental Modeling Framework
-
Predicting Moonlighting Proteins from Protein Sequence
-
Ongoing Work to Study the Underlying Statistical Patterns of Oesophageal Chromothripsis
-
Computational Study of Particle Separation Based on Inertial Effects in Rectangular Serpentine Channels with Different Aspect Ratios
-
Semi-Automated Workflow for Computer-Generated Scoring of Ki67 Positive Cells from HE Stained Slides
-
Unsupervised Cardiac Differentiation Stage Portraying and Pseudotime Mapping Based on Gene Expression Data
-
GenExViz: Effective Visualizations of Bioinformatics Data - An Analysis Studies on Cancer Prevention
-
Constrained ALS for Estimation of Human Upper Limb Synergies
-
Assessing Situation Awareness (SA) Using Single- or Dual-Location functional Near Infrared Spectroscopy (fNIRS)
-
Machine Learning Algorithms for Mouse LFP Data Classification in Epilepsy
-
Stylohyoid and Posterior Digastric Measurement with Intramuscular EMG, Submental EMG and Swallowing Sound
-
AI and IoT Enabled Sleep Stage Classification
-
Comparison of Machine Learning Algorithms for Human Activity Recognition
-
Spontaneous Cardiac-Locomotor Coupling in Healthy Individuals During Daily Activities
-
Machine Learning Algorithm Development and Metrics Extraction from PPG Signal for Improved Robustness in Wearables
-
Annotation-Based Evaluation of Wrist EDA Quality and Response Assessment Techniques
-
Prediction of Sleep Stages Based on Wearable Signals Using Machine Learning Techniques
-
Depression in Obstructive Sleep Apnea Patients: Is Using Complex Deep Learning Structures Worth It?
-
Impact of Body Position on Imaging Ballistocardiographic Signals
-
Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases
-
Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods
-
Arrythmia Classification Using MATLAB® Classification Learner App
-
Description of PD Phonation in Terms of EEG-Related Frequency Bands
-
Hybrid Improved Physarum Learner for Structure Causal Discovery
-
Deep Minutiae Fingerprint Extraction Using Equivariance Priors
-
Study of Uncertainty Quantification Using Multi-Label ECG in Deep Learning Models
-
The Subspace Regularization Method Improves ErrP Detection by EEGNET in BCI Experiments
-
Multimodal Stress Classification Based on Biosignals Extracted from Smart Devices and Electromyography
-
Analysis of Postural Variability of Office Workers Using Inertial Sensors
-
Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis
-
Automated Detection of Decision-Making Style, Based on Users’ Online Mouse Pointer Activity
-
Class-wise Knowledge Distillation for Lightweight Segmentation Model
-
Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring
-
Event-Related Desynchronization Analysis During Action Observation and Motor Imagery of Transitive Movements
-
Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling
-
Towards Lung Cancer Staging via Μultipositional Radiomics and Machine Learning
-
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
-
Estimation of Fluid Intake Volume from Surface Electromyography Signals: A Comparative Study of Seven Regression Techniques
-
An RFID Based Localization and Mental Stress Recognition System Using Wearable Sensors
-
A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics
-
Classification of HCI Datasets Using Information Fusion and Weighted Frechet Distance
-
Reflecting on the Status Quo of Nonverbal Human-Machine Interaction
-
Heterogeneous Inertial Measurement Units in Motion Analysis
-
Using Sparse Representation of EEG Signal from a Shallow Sparse Autoencoder for Epileptic Seizure Prediction
-
Redundancy and Novelty Between ECG Leads Based on Linear Correlation
-
Parkinson and REM Sleep Behaviour Disorder: HRV Difference During Polysomnography
-
Data Augmentation, Multimodality, Subject and Activity Specificity Improve Wearable Electrocardiogram Denoising with Autoencoders
-
Automatic Reconstruction of Roof Overhangs for 3D City Models
-
Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy
-
Improved Directional Guidance with Transparent AR Displays
-
Optimal Activation Function for Anisotropic BRDF Modeling
-
Automatic Prediction of 3D Checkpoints for Technical Gesture Learning in Virtual Environments
-
Local Reflectional Symmetry Detection in Point Clouds Using a Simple PCA-Based Shape Descriptor
-
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
-
Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning
-
An Immersive Feedback Framework for Scanning Probe Microscopy
-
Accurate Cutting of MSDM-Based Hybrid Surface Meshes
-
Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios
-
Multiclass Texture Synthesis Using Generative Adversarial Networks
-
Dense Point-to-Point Correspondences Between Genus-Zero Shapes Using Cubic Mapping and Horn-Schunck Optical Flow
-
Shape Morphing as a Minimal Path in the Graph of Cubified Shapes
-
Topological Data Structure: The Fast Marching Example
-
Computerised Muscle Modelling and Simulation for Interactive Applications
-
Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods
-
Analysis of Wettability Model Using Adhesional and Spreading Works
-
Colour-Field Based Particle Categorization for Residual Stress Detection and Reduction in Solid SPH Simulations
-
Real-Time Volume Editing on Low-Power Virtual Reality Devices
-
Cartesian Robot Controlling with Sense Gloves and Virtual Control Buttons: Development of a 3D Mixed Reality Application
-
Sampling-Distribution-Based Evaluation for Monte Carlo Rendering
-
Mobile Augmented Reality for Analysis of Solar Radiation on Facades
-
A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring
-
Fall Prediction Amongst the Elderly Using Data from an Ambient Assisted Living System
-
Designing Personalised Gamification of mHealth Survey Applications
-
Artificial Intelligence Enabled Healthcare Ecosystem Model: AIEHEM Project
-
Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge
-
Daily Pain Prediction in Workplace Using Gaussian Processes
-
Launcher50+: An Android Launcher for Use by Older Adults
-
Development and Application of Regional Level Complete Inspection Management Platform
-
Benchmarking Disease Modeling Techniques on the Philippines’ COVID-19 Dataset
-
Wearable EEG-Based Cognitive Load Classification by Personalized and Generalized Model Using Brain Asymmetry
-
Predicting Comorbidities in Diabetic Patients and Visualizing Data for Improved Healthcare
-
IT-Structures and Algorithms for Quality Assurance in the Medical Advisory Service Institutions in Germany. Step 2: To err is Human. Consensus-Conferences
-
Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support
-
Recommender System for Alarm Thresholds in Medical Patient Monitors
-
Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning
-
An Easy-to-Use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents
-
Facilitating SNOMED-CT Template Creation by Targeting Stopwords
-
Novel Distributed Informatics Platform to Support Machine Learning Discovery of Metabolic Biomarkers in Hypoxia Predisposition
-
(ε, k)-Randomized Anonymization: ε-Differentially Private Data Sharing with k-Anonymity
-
Development, Implementation and Validation of a Stochastic Prediction Model of UICC Stages for Missing Values in Large Data Sets in a Hospital Cancer Registry
-
Technical Realization and First Insights of the Multicenter Integrative Breast Cancer Registry INTREST
-
A Mobile Application for Milano Ventilatore Meccanico: A First Prototype
-
Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance
-
On the Problem of Data Availability in Automatic Voice Disorder Detection
-
Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks
-
Predicting Hospital Length of Stay of Patients Leaving the Emergency Department
-
A Correlation Network Model for Analyzing Mobility Data in Depression Related Studies
-
Eating Habit Improvement System Using Dietary Sound
-
Extended Head Pose Estimation on Synthesized Avatars for Determining the Severity of Cervical Dystonia
-
Concept for General Improvements in the Treatment of Femoral Shaft Fractures with an Intramedullary Nail
-
Pharmaceutical Audit Trail Blockchain-Based Microservice
-
Analysis of Virtual Reality Therapy Game Prototype for Persons Living with Dementia in the Philippines
-
Lessons Learned from mHealth Monitoring in the Wild
-
Bed Management System Development
-
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients
-
Intelligent Provision of Tailored, Easily Understood, and Trusted Health Information for Patient Empowerment
-
The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil
-
A Gait Analysis Tool Based on Machine Learning to Support the Rehabilitation Strategy of Post-stroke Patients
-
Physiological Data Recording in VR Simulator for Sleepiness Detection During Driving
-
GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health
-
Analysis of Driving Behavior by Applying LDA Topic Model at Intersection Using VR Simulator
-
Federated Health Recommender System
-
Methods to Estimate Respiratory Rate Using the Photoplethysmography Signal
-
LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track
-
Fit-Twin: A Digital Twin of a User with Wearables and Context as Input for Health Promotion
-
A Survey on Technologies Used During out of Hospital Cardiac Arrest
-
Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise
-
Development of Learning System to Support for Passing Steps of Wheelchair
-
Effectiveness of Reflexology for Premenstrual Syndrome (PMS) and Other Health Difficulties Specific to Women
-
A Profile Recognition System Based on Emotions for Children with ASD in an Interactive Museum Visit
-
Improvement Potential of Business Models and Usability of Fitness Apps: Results of Expert Interviews and a User Study
-
Contrast Set Mining for Actionable Insights into Associations Between Sleep and Glucose in a Normoglycemic Population
-
Automated Identification of Yellow Flags and Their Signal Terms in Physiotherapeutic Consultation Transcripts
-
How Different Elements of Audio Affect the Word Error Rate of Transcripts in Automated Medical Reporting
-
Using Balancing Methods to Improve Glycaemia-Based Data Mining
-
HydReminder-W: A Bottle Cap that Listens to Your Heart to Remind You to Drink!
-
Deep Learning Assisted Plus Disease Screening of Retinal Image of Infants
-
A Protocol to Assess Usability and Feasibility of e-SpeechT, a Web-based System Supporting Speech Therapies
-
A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease
-
Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device
-
GroupGazer: A Tool to Compute the Gaze per Participant in Groups with Integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection
-
Pistol: PUpil INvisible SUpportive TOOl to Extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as Well as 3D Gaze
-
The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications
-
Virtual Reality Simulation for Multimodal and Ubiquitous System Deployment
-
The VVAD-LRS3 Dataset for Visual Voice Activity Detection
-
Virtual Avatar Creation Support System for Novices with Gesture-Based Direct Manipulation and Perspective Switching
-
Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model
-
Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining
-
Measuring Emotion Intensity: Evaluating Resemblance in Neural Network Facial Animation Controllers and Facial Emotion Corpora
-
Interaction-based Implicit Calibration of Eye-Tracking in an Aircraft Cockpit
-
Analysis of the User Experience (UX) of Design Interactions for a Job-Related VR Application
-
VR Virtual Prototyping Application for Airplane Cockpit: A Human-centred Design Validation
-
Usability Assessment in Scientific Data Analysis: A Literature Review
-
Co-creation of Ethical Guidelines for Designing Digital Solutions to Support Industrial Work
-
It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training
-
eHMI Design: Theoretical Foundations and Methodological Process
-
Can Pupillary Responses while Listening to Short Sentences Containing Emotion Induction Words Explain the Effects on Sentence Memory?
-
Improving Throughput of Mobile Robots in Narrow Aisles
-
Spatial Positions of Operator's Finger and Operation Device Influencing Sense of Direct Manipulation and Operation Performance
-
Towards Identifying Concepts in Persuasive Social Networks: Case Study TikTok
-
On the Importance of User Role-Tailored Explanations in Industry 5.0
-
Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics
-
Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems
-
An Immersive Virtual Reality Application to Preserve the Historical Memory of Tangible and Intangible Heritage
-
Measuring User Trust in an in-Vehicle Information System: A Comparison of Two Subjective Questionnaires
-
Comparing Conventional and Conversational Search Interaction Using Implicit Evaluation Methods
-
Examining the Potential for Conversational Exploratory Search Using a Smart Speaker Digital Assistant
-
Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles
-
Safety Education Method for Older Drivers to Correct Overestimation of Their Own Driving
-
Happy or Sad, Smiling or Drawing: Multimodal Search and Visualisation of Movies Based on Emotions Along Time
-
A Holonic Multi-Agent Architecture For Smart Grids
-
Differential Weight and Population Size of PRDE Traders: An Analysis of Their Impact on Market Dynamics
-
Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System
-
Online HTN Planning for Data Transfer and Utilization Considering Legal and Ethical Norms: Case Study
-
Cross-Paradigm Interoperability Between Jadescript and Java
-
Operational Semantic of an AgentSpeak(L) Interpreter Using Late Bindings
-
Analyzing the Effectiveness of Stereotypes
-
Virtual Agent Behavior Modeling in Case of a Risky Situation in a Virtual Electrical Substation
-
Dynamic Task Graphs for Teams in Collaborative Assembly Processes
-
Logic of Awareness in Agent’s Reasoning
-
Teleo-Reactive Agents in a Simulation Platform
-
Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents
-
Wall Climbing Emergent Behavior in a Swarm of Real-World Miniature Autonomous Blimps
-
Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem
-
A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour
-
Measuring Emotion Velocity for Resemblance in Neural Network Facial Animation Controllers and Their Emotion Corpora
-
SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation
-
Conflicting Moral Codes for Self-Driving Cars: The Single Car Case
-
Machine Learning for Cognitive BDI Agents: A Compact Survey
-
A Study Toward Multi-Objective Multiagent Reinforcement Learning Considering Worst Case and Fairness Among Agents
-
Bottom-Up Bio-Inspired Algorithms for Optimizing Industrial Plants
-
Towards a Fleet of Autonomous Haul-Dump Vehicles in Hybrid Mines
-
Hierarchical Constraint Logic Programming for Multi-Agent Systems
-
Fast Heuristic for Ricochet Robots
-
Parallel and Distributed Epirust: Towards Billion-Scale Agent-Based Epidemic Simulations
-
A Study of the Effectiveness of English Speaking of Teachable Agent using AI Chatbot
-
Studying the Impact of Transportation During Lockdown on the Spread of COVID-19 Using Agent-Based Modeling
-
Towards User-Centred Validation and Calibration of Agent-Based Models
-
Swapping Physical Resources at Runtime in Embedded MultiAgent Systems
-
A Normative Multiagent Approach to Represent Data Regulation Concerns
-
Study on Decentralized Anytime Evolutionary Algorithm for DCOPs Containing Adversarial Agents
-
Modelling Agents in Industry 4.0 Applications Using Asset Administration Shell
-
A Game Theoretic Approach to Attack Graphs
-
Reciprocal Adaptation Measures for Human-Agent Interaction Evaluation
-
How to Find Good Coalitions to Achieve Strategic Objectives
-
Coupled Assignment Strategy of Agents in Many Targets Environment
-
Automated Agent Migration over Distributed Data Structures
-
The Missing Tip: Lack of Micro-Movements Impairs Navigation Realism in Artificial Social Agents
-
REPMAS: A Requirements Engineering Process for MultiAgent Systems: An Application Example
-
Towards Modelling and Verification of Social Explainable AI
-
Strategy Analysis for Competitive Bilateral Multi-Issue Negotiation
-
An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition
-
On Converting Logic Programs Into Matrices
-
JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework
-
Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data
-
Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning
-
An Ontology-Based Augmented Observation for Decision-Making in Partially Observable Environments
-
InsectDSOT: A Neural Network for Insect Detection in Olive Trees
-
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval
-
CSP-DC: Data Cleaning via Constraint Satisfaction Problem Solving
-
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data
-
Analysing Customer Behaviour Using Simulated Transactional Data
-
An Audit Framework for Technical Assessment of Binary Classifiers
-
EMTE: An Enhanced Medical Terms Extractor Using Pattern Matching Rules
-
A Fine-Tuning Aggregation Convolutional Neural Network Surrogate Model of Strategy Selecting Mechanism for Repeated-Encounter Bilateral Automated Negotiation
-
An Application of Priority-Based Lightweight Ontology Merging
-
Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images
-
Exotic Bets: Evolutionary Computing Coupled with Bet Mechanisms for Model Selection
-
Partner Selection Strategy in Open, Dynamic and Sociable Environments
-
Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT
-
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
-
Automatic Facility Layout Design System Using Deep Reinforcement Learning
-
Qualitative Spatial Representation and Reasoning About Fold Strata
-
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices
-
Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning
-
Coverage-Guided Fuzzing for Plan-Based Robotics
-
Trade-off Clustering Approach for Multivariate Multi-Step Ahead Time-Series Forecasting
-
A New Dynamic Community-Based Recommender System
-
Rewiring Knowledge Graphs by Graph Neural Network Link Predictions
-
Interactive Video Saliency Prediction: The Stacked-convLSTM Approach
-
LSTM, ConvLSTM, MDN-RNN and GridLSTM Memory-based Deep Reinforcement Learning
-
Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
-
Towards a Foundation for Intelligent Contracts
-
Using NLP to Enrich Scientific Knowledge Graphs: A Case Study to Find Similar Papers
-
Generation of Facial Images Reflecting Speaker Attributes and Emotions Based on Voice Input
-
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning
-
Deep Learning Model Selection With Parametric Complexity Control
-
Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database
-
Adding Time and Subject Line Features to the Donor Journey
-
Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums
-
Reinforcement Learning Explained via Reinforcement Learning: Towards Explainable Policies through Predictive Explanation
-
First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation
-
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition
-
GaSUM: A Genetic Algorithm Wrapped BERT for Text Summarization
-
Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation
-
Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks
-
Studying Narrative Economics by Adding Continuous-Time Opinion Dynamics to an Agent-Based Model of Co-Evolutionary Adaptive Financial Markets
-
Coevolving Hexapod Legs to Generate Tripod Gaits
-
Normalization and Denormalization for a Document-Oriented Data
-
Turn-Based Multi-Agent Reinforcement Learning Model Checking
-
Emotion-Cause Pair Extraction as Question Answering
-
Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making
-
Improving the Human-Likeness of Game AI’s Moves by Combining Multiple Prediction Models
-
Detecting 2D NMR Signals Using Mask RCNN
-
Task Scheduling: A Reinforcement Learning Based Approach
-
pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data
-
Hard Spatial Attention Framework for Driver Action Recognition at Nighttime
-
Anomaly Detection for Multivariate Industrial Sensor Data via Decoupled Generative Adversarial Network
-
A Knowledge-Based Approach for Evaluating Impact of Therapeutic Strategies
-
Scenario Generation With Transitive Rules for Counterfactual Event Analysis
-
Comparative Analysis of Process Models for Data Science Projects
-
Learning Preferences in Lexicographic Choice Logic
-
Sentence Transformers and DistilBERT for Arabic Word Sense Induction
-
Denial of Service Detection for IoT Networks Using Machine Learning
-
An Efficient Real Time Intrusion Detection System for Big Data Environment
-
Chop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases
-
A System for Updating Trust and Performing Belief Revision
-
Nature-Inspired Algorithms for Solving Weighted Constraint Satisfaction Problems
-
Explainable Recommendations of Drugs for Diabetic Patients
-
Fully Hidden Dynamic Trigger Backdoor Attacks
-
On the Impact of Grounding on HTN Plan Verification via Parsing
-
Automatic Reactive Power Classification Based on Selected Machine Learning Methods
-
Nearest Neighbours and XAI Based Approach for Soft Labelling
-
A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks
-
Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview
-
Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection
-
A New Approach to Probabilistic Knowledge-Based Decision Making
-
XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning
-
ECA-CE: An Evolutionary Clustering Algorithm with Initial Population by Clustering Ensemble
-
Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images
-
SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity
-
A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
-
Interpretability and Explainability of Logistic Regression Model for Breast Cancer Detection
-
Enhancing Time Series Classification with Self-Supervised Learning
-
Symbolic Explanations for Multi-Label Classification
-
VoronoiPatches: Evaluating a New Data Augmentation Method
-
Diverse Level Generation for Tile-Based Video Game using Generative Adversarial Networks from Few Samples
-
The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design
-
A New Approach to Moving Object Detection and Segmentation: The XY-shift Frame Differencing
-
Towards Automatic Medical Report Classification in Czech
-
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback
-
Background Image Editing with HyperStyle and Semantic Segmentation
-
Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints
-
MAKI: A Multi-Agent Public Key Infrastructure
-
A Survey of Socio-Emotional Strategies for Generation-Based Conversational Agents
-
On the Prediction of a Nonstationary Exponential Distribution Based on Bayes Decision Theory
-
Automatic Detection of Implicit and Typical Implementation of Singleton Pattern Based on Supervised Machine Learning
-
An Automatic Method for Building a Taxonomy of Areas of Expertise
-
Multi-Objective Deep Q-Networks for Domestic Hot Water Systems Control
-
A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture
-
Generation of Daily and Monthly Flows Using the GR4j Method with ERA5 Grilled Data in the Cañete River Basin to the Putinza Hydrometric Station
-
Predicting Visual Importance of Mobile UI Using Semantic Segmentation
-
NewsRecs: A Mobile App Framework for Conducting and Evaluating Online Experiments for News Recommender Systems
-
Emotions Relationship Modeling in the Conversation-Level Sentiment Analysis
-
Head Star (H*): A Motion Planning Algorithm for Navigation Among Movable Obstacles
-
Constraint-Based Filtering and Evaluation of CSP Search Trees
-
A Framework for Explaining Accident Scenarios for Self-Driving Cars
-
An Effective Hybrid Text-Based Approach to Identify Fake News on Social Media
-
GAN Inversion with Editable StyleMap
-
Rumor Detection in Tweets Using Graph Convolutional Networks
-
Potentials of Explainable Predictions of Order Picking Times in Industrial Production
-
Compressing UNSAT Search Trees with Caching
-
Explainable Decision Support Modelling Based on Multi-Layer FCM with Multi-Objective Optimization Characteristics: The Case of the Microservices Adoption Problem
-
A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection
-
Thompson Sampling on Asymmetric a-stable Bandits
-
Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms
-
Voicemail Urgency Detection Using Context Dependent and Independent NLP Techniques
-
Video Game Agents with Human-like Behavior using the Deep Q-Network and Biological Constraints
-
Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident
-
Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks
-
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
-
Multi Platform-Based Hate Speech Detection
-
Automatically Generating Image Segmentation Datasets for Video Games
-
Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method
-
Randout-KD: Finetuning Foundation Models for Text Classification via Random Noise and Knowledge Distillation
-
Automated Planning for Military Airline Controller Training Scenarios
-
Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution
-
Multi-Agent Parking Problem with Sequential Allocation
-
Ethical Considerations for the Deployment of Logic-Based Models of Reasoning
-
Bagged Ensembles for Blood Glucose Prediction: A Comparative Study
-
Shrinking the Inductive Programming Search Space with Instruction Subsets
-
How Fine Tuning Affects Contextual Embeddings: A Negative Result Explanation
-
Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure
-
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset
-
Hybrid Genetic U-Net Algorithm for Medical Segmentation
-
Convolutional Networks Versus Transformers: A Comparison in Prostate Segmentation
-
Modeling Syntactic Knowledge With Neuro-Symbolic Computation
-
Applied Deep Learning Architectures for Breast Cancer Screening Classification
-
Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU?
-
PARL: A Dialog System Framework with Prompts as Actions for Reinforcement Learning
-
Evaluating and Improving End-to-End Systems for Knowledge Base Population
-
Model Transparency: Why Do We Care?
-
Drone Surveillance in Extreme Low Visibility Conditions
-
Explainability of MLP Based Species Distribution Models: A Case Study
-
Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience
-
Modeling an e-Commerce Hybrid Recommender System Based on Machine Learning Algorithms
-
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
-
An Empirical Heuristic Algorithm for Solving the Student-Project Allocation Problem with Ties
-
Popularity Prediction for New and Unannounced Fashion Design Images
-
Automated Deep Learning Based Answer Generation to Psychometric Questionnaire: Mimicking Personality Traits
-
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
-
A Bi-Level Genetic Algorithm to Solve the Dynamic Flexible Job Shop Scheduling Problem
-
Question Difficulty Decision for Automated Interview in Foreign Language Test
-
Japanese Word Reordering Based on Topological Sort
-
An Artificial Dendritic Neuron Model Using Radial Basis Functions
-
Supervised Learning for Untangling Braids
-
Multi-Graph Encoder-Decoder Model for Location-Based Character Networks in Literary Narrative
-
Model for Real-Time Subtitling from Spanish to Quechua Based on Cascade Speech Translation
-
Decision-Making in Hearthstone Based on Evolutionary Algorithm
-
Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech
-
A Convolutional Neural Network Based Patch Classifier Using Mammograms
-
How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion
-
Blending Dependency Parsers With Language Models
-
A Zero-Shot Transformer Model For an Attribute-Guided Challenge
-
Compression of GPS Trajectories Using Autoencoders
-
Improved Encoding of Possibilistic Networks in CNF Using Quine-McCluskey Algorithm
-
Logic + Reinforcement Learning + Deep Learning: A Survey
-
German BERT Model for Legal Named Entity Recognition
-
Using Neural Network Architectures for Intraday Trading in the Gold Market
-
Software Requirements Prioritisation Using Machine Learning
-
Data-Driven Weather Forecast Using Deep Convolution Neural Network
-
A Novel Sampling Technique for Detecting Cyber Denial of Service Attacks on the Internet of Things
-
Creating a Math Expression Filter to Extract Concise Math Expression Images
-
Optimising Evolution of SA-UNet for Iris Segmentation
-
Playstyle Generation for Geister With Genetic Algorithm and Clustering
-
Efficient Aggregation of Face Embeddings for Decentralized Face Recognition Deployments
-
IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication
-
Evaluation of DoS/DDoS Attack Detection with ML Techniques on CIC-IDS2017 Dataset
-
Cybersecurity Awareness and Capacities of SMEs
-
An Explainable Convolutional Neural Network for Dynamic Android Malware Detection
-
Towards a Rust SDK for Keystone Enclave Application Development
-
Machine Learning Based Prediction of Vulnerability Information Subject to a Security Alert
-
An End-to-End Encrypted Cache System with Time-Dependent Access Control
-
Concrete Quantum Circuits to Prepare Generalized Dicke States on a Quantum Machine
-
Towards Audit Requirements for AI-Based Systems in Mobility Applications
-
Tracing Cryptographic Agility in Android and iOS Apps
-
CHARRA-PM: An Attestation Approach Relying on the Passport Model
-
Evaluation Scheme to Analyze Keystroke Dynamics Methods
-
Revisiting the DFT Test in the NIST SP 800-22 Randomness Test Suite
-
Veto: Prohibit Outdated Edge System Software from Booting
-
SHOID: A Secure Herd of IoT Devices Firmware Update Protocol
-
An Analysis of Cybersecurity Awareness Efforts for Swiss SMEs
-
Using Infrastructure-Based Agents to Enhance Forensic Logging of Third-Party Applications
-
Systematically Searching for Identity-Related Information in the Internet with OSINT Tools
-
Security Analysis of a Color Image Encryption Scheme Based on Dynamic Substitution and Diffusion Operations
-
Measurements of Cross-Border Quantum Key Distribution Link
-
Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
-
SWaTEval: An Evaluation Framework for Stateful Web Application Testing
-
Clipaha: A Scheme to Perform Password Stretching on the Client
-
Automating XSS Vulnerability Testing Using Reinforcement Learning
-
TTP-Aided Searchable Encryption of Documents Using Threshold Secret Sharing
-
An Efficient Unified Architecture for Polynomial Multiplications in Lattice-Based Cryptoschemes
-
Privacy-Aware IoT: State-of-the-Art and Challenges
-
On the Feasibility of Fully Homomorphic Encryption of Minutiae-Based Fingerprint Representations
-
Query Log Analysis for SQL Injection Detection
-
How to Design a Blue Team Scenario for Beginners on the Example of Brute-Force Attacks on Authentications
-
SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation
-
Use-Case Denial of Service Attack on Actual Quantum Key Distribution Nodes
-
A Systematic Review of Secure IoT Data Sharing
-
A k-Anonymization Method for Social Network Data with Link Prediction
-
Bypassing Multiple Security Layers Using Malicious USB Human Interface Device
-
Evaluation of a Tool to Increase Cybersecurity Awareness Among Non-experts (SME Employees)
-
Dark Ending: What Happens when a Dark Web Market Closes down
-
The Story of Safety Snail and Her e-Mail: A Digital Wellness and Cybersecurity Serious Game for Pre-School Children
-
Evading Detection During Network Reconnaissance
-
Temporal Constraints in Online Dating Fraud Classification
-
Data Leakage in Isolated Virtualized Enterprise Computing Systems
-
Cloud Inspector: A Tool-Based Approach for Public Administrations to Establish Information Security Processes Towards Public Clouds
-
Exploring False Demand Attacks in Power Grids with High PV Penetration
-
Evaluation of Persistence Methods Used by Malware on Microsoft Windows Systems
-
Security Aspects of Digital Twins in IoT
-
Identifying Personal Data Processing for Code Review
-
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams
-
Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond
-
SPA Attack on NTRU Protected Implementation with Sparse Representation of Private Key
-
Assessing Security and Privacy Insights for Smart Home Users
-
On the Design of GDPR Compliant Workflows for Responsible Neuroimage Data Sharing
-
Human Factors for Cybersecurity Awareness in a Remote Work Environment
-
XMeDNN: An Explainable Deep Neural Network System for Intrusion Detection in Internet of Medical Things
-
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis
-
A Stochastic Game Model for Cloud Platform Security
-
Vehicle Data Collection: A Privacy Policy Analysis and Comparison
-
A Scenario-Driven Cyber Security Awareness Exercise Utilizing Dynamic Polling: Methodology and Lessons Learned
-
Systematic Literature Review of Threat Modeling Concepts
-
Cyber Teaching Hospitals: Developing Cyber Workforce Competence
-
Correlating Intrusion Detection with Attack Graph on Virtual Computer Networkings
-
Vulnerabilities in IoT Devices, Backends, Applications, and Components
-
Comparing the Effect of Privacy and Non-Privacy Social Media Photo Tools on Factors of Privacy Concern
-
On the Use of Multiple Approximations in the Linear Cryptanalysis of Baby Rijndael
-
Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology
-
PDIFT: A Practical Dynamic Information-Flow Tracker
-
Improving Unlinkability in C-ITS: A Methodology For Optimal Obfuscation
-
t.ex-Graph: Automated Web Tracker Detection Using Centrality Metrics and Data Flow Characteristics
-
P2BAC: Privacy Policy Based Access Control Using P-LPL
-
Secure Software Updates for IoT Based on Industry Requirements
-
A Game Theoretic Analysis of Cyber Threats
-
RPCDroid: Runtime Identification of Permission Usage Contexts in Android Applications
-
Secure Joint Querying Over Federated Graph Databases Utilising SMPC Protocols
-
Towards Security Attack Event Monitoring for Cyber Physical-Systems
-
Anomalous File System Activity Detection Through Temporal Association Rule Mining
-
Automata-Based Study of Dynamic Access Control Policies
-
StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation
-
A Framework for Assessing Decompiler Inference Accuracy of Source-Level Program Constructs
-
Fast-Flux Malicious Domain Name Detection Method Based on Domain Resolution Spatial Features
-
A Biometric Self Authentication Scheme
-
Group Privacy for Personalized Federated Learning
-
Forecasting Cyber-Attacks to Destination Ports Using Machine Learning
-
A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration at IoT Edge Devices and Containerized Cluster System
-
Assessing the Impact of Attacks on Connected and Autonomous Vehicles in Vehicular Ad Hoc Networks
-
Differential Privacy: Toward a Better Tuning of the Privacy Budget (ε) Based on Risk
-
Assessing Risk in High Performance Computing Attacks
-
SeCloud: Computer-Aided Support for Selecting Security Measures for Cloud Architectures
-
Integrated Production and Energy Supply Planning on an Industrial Site by Mixed-Integer Linear Programming
-
Synchronizing Vehicle Routing and Photo-Voltaic Production
-
A Comparison of Several Speed Computation Methods for the Safe Shortest Path Problem
-
Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty
-
Workforce Modelling with Experience Accumulation
-
A Simulation Tool for Exploring Ammunition Stockpile Dynamics
-
Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms
-
Counterfactual Explanations for Workforce Scheduling and Routing Problems
-
Performance Metrics Based on Data Envelopment Analysis for Evaluating Multi-Objective Linear Programming Solution Methods
-
The Green Tourist Trip Design Problem with Time Windows: A Model Application on a Urban Scale
-
Opportunistic Maintenance of Multi-Component Systems Under Structure and Economic Dependencies: A Healthcare System Case Study
-
Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands
-
Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty
-
The Single Depot Multiple Set Orienteering Problem
-
A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations
-
Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand
-
Estimating Workforce Attrition Rate Parameters: A Controlled Comparison
-
Multi-Objective Task Assignment Solution for Parked Vehicular Computing
-
Optimization of Circular Conveyor Belt Systems with Multi-Commodity Network Flows
-
Storage Assignment Using Nested Annealing and Hamming Distances
-
Automatic Placer for Analog Circuits Using Integer Linear Programming Warm Started by Graph Drawing
-
Modeling and Optimization of Virtual Networks in Multi-AS Environment
-
Optimization of Direct Transportation Flows for the Removal of Construction Waste Bins with both Resource and Task Availability Interval Constraints
-
Managing Inventory Level and Bullwhip Effect in Multi Stage Supply Chains with Perishable Goods: A New Distributed Model Predictive Control Approach
-
A Blockchain-Based System for the Last-Mile Delivery
-
MorDeephy: Face Morphing Detection via Fused Classification
-
Classifying Intelligence Tests Patterns Using Machine Learning Methods
-
Deep Learning Semi-Supervised Strategy for Gamma/Hadron Classification of Imaging Atmospheric Cherenkov Telescope Events
-
Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification
-
Debiasing Sentence Embedders Through Contrastive Word Pairs
-
EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation
-
Multi-task Fusion for Efficient Panoptic-Part Segmentation
-
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction
-
Fake It, Mix It, Segment It: Bridging the Domain Gap Between Lidar Sensors
-
Random Quasi Intersections with Applications to Instant Machine Learning
-
Adaptive Adversarial Samples Based Active Learning for Medical Image Classification
-
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search
-
Rainfuzz: Reinforcement-Learning Driven Heat-Maps for Boosting Coverage-Guided Fuzzing
-
Light U-Net with a New Morphological Attention Gate Model Application to Analyse Wood Sections
-
A Comparative Analysis of Classifier Performance for Epileptic Seizure Detection Using EEG Signals
-
Explainable Outlier Detection Using Feature Ranking for k-Nearest Neighbors, Gaussian Mixture Model and Autoencoders
-
Topology-Preserving Reductions on (18,12) Pictures of the Face-Centered Cubic Grid
-
Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
-
Co-Incrementation: Combining Co-Training and Incremental Learning for Subject-Specific Facial Expression Recognition
-
Hard Spatio-Multi Temporal Attention Framework for Driver Monitoring at Nighttime
-
Neonatal Video Database and Annotations for Vital Sign Extraction and Monitoring
-
Dealing with Overfitting in the Context of Liveness Detection Using FeatherNets with RGB Images
-
Video-Based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons
-
Deep Learning for Diagonal Earlobe Crease Detection
-
Lightweight Audio-Based Human Activity Classification Using Transfer Learning
-
Keyframe and GAN-Based Data Augmentation for Face Anti-Spoofing
-
Using a Genetic Algorithm to Update Convolutional Neural Networks for Abnormality Classification in Mammography
-
DNN Pruning and Its Effects on Robustness
-
Ensemble Learning for Cough-Based Subject-Independent COVID-19 Detection
-
Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild
-
Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques
-
Automatic Subjective Answer Evaluation
-
Two-Step Graph Classification on the Basis of Hierarchical Graphs
-
LiDAR and Camera Based 3D Object Classification in Unknown Environments Using Weakly Supervised Learning
-
Subcaterpillar Isomorphism Between Caterpillars: Subtree Isomorphism Restricted Text and Pattern Trees to Caterpillars
-
Recent Advances in Statistical Mixture Models: Challenges and Applications
-
Outlier Detection Method for Equipment Onboard Merchant Vessels
-
PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images
-
Clustering LiDAR Data with K-means and DBSCAN
-
Sequential Spatial Transformer Networks for Salient Object Classification
-
Towards Explainability in Using Deep Learning for Face Detection in Paintings
-
Estimating Electric Vehicle Driving Range with Machine Learning
-
State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots
-
Point to Segment Distance DTW for Online Handwriting Signals Matching
-
Unsupervised Tree Detection and Counting via Region-Based Circle Fitting
-
Correlated Mutations of Positions Among Structural Proteins in Delta and Omicron Variants for SARS-CoV-2 Amino Acid Sequences
-
Step Towards Generalization: Fault Classification in Multivariate High-Frequency Data from Different Operating Regimes of Hydraulic Rock Drill System
-
Gradient Clipping in Deep Learning: A Dynamical Systems Perspective
-
Addressing Privacy and Security Concerns in Online Game Account Sharing: Detecting Players Using Mouse Dynamics
-
Distance Transform in Parallel Logarithmic Complexity
-
Rethinking Image-Based Table Recognition Using Weakly Supervised Methods
-
Speech Recognition for Minority Languages Using HuBERT and Model Adaptation
-
Cardiac Arrhythmia Classification in Electrocardiogram Signals with Convolutional Neural Networks
-
Facial Paralysis Recognition Using Face Mesh-Based Learning
-
Impact of Transformer-Based Models and User Clustering in Early Fake News Detection in Social Media
-
When Simple Statistical Algorithms Outperform Deep Learning: A Case of Keystroke Dynamics
-
Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning
-
Image-Based Fire Detection in Industrial Environments with YOLOv4
-
Synthetic Data for Object Classification in Industrial Applications
-
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
-
So Can We Use Intrinsic Bias Measures or Not?
-
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
-
Strokes Trajectory Recovery for Unconstrained Handwritten Documents with Automatic Evaluation
-
Deep Analysis and Detection of Firewall Anomalies Using Knowledge Graph
-
Continuous Sign-Language Recognition using Transformers and Augmented Pose Estimation
-
Sewer-AI: Sustainable Automated Analysis of Real-World Sewer Videos Using DNNs
-
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
-
Image Inpainting Network Based on Deep Fusion of Texture and Structure
-
Fixed Tasks for Continuous Authentication via Smartphone
-
Metric-Based Few-Shot Learning for Pollen Grain Image Classification
-
Deep Learning Based Text Translation and Summarization Tool for Hearing Impaired Using Indian Sign Language
-
A Semantic Frame Graph for Information Extraction
-
Modified kNN Classifier in the Output Vector Space for Robust Performance Against Adversarial Attack
-
Data Streams: Investigating Data Structures for Multivariate Asynchronous Time Series Prediction Problems
-
Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals
-
Imposing Functional Priors on Bayesian Neural Networks
-
Image-Based Material Analysis of Ancient Historical Documents
-
Leveraging Explainability with K-Fold Feature Selection
-
On the Future of Training Spiking Neural Networks
-
Machine Fault Classification Using Hamiltonian Neural Networks
-
Bayesian Iterative Closest Point for Shape Analysis of Brain Structures
-
Learning Independently from Causality in Multi-Agent Environments
-
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images
-
MAGAN: A Meta-Analysis for Generative Adversarial Networks’ Latent Space
-
Towards a Neuro-Symbolic Framework for Multimodal Human-AI Interaction
-
Using a 1D Pose-Descriptor on the Finger-Level to Reduce the Dimensions in Hand Posture Estimation
-
Patterns in Pupillary Diameter Variation While Reading Portuguese Language Texts
-
Classification of Respiratory Diseases Using the NAO Robot
-
Speech to Text Recognition for Videogame Controlling with Convolutional Neural Networks
-
New Centre/Surround Retinex-like Method for Low-Count Image Reconstruction
-
Towards Improved Indoor Location with Unmodified RFID Systems
-
A Comparative Study of GAN Methods for Physiological Signal Generation
-
Arabic Handwriting off-Line Recognition Using ConvLSTM-CTC
-
Prostate Cancer Detection, Segmentation, and Classification using Deep Neural Networks
-
On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats
-
On the Hardness and Necessity of Supervised Concept Drift Detection
-
Integration of Statistical Methods and Artificial Neural Networks for the Detection of Oil Stains in the Aquatic Environment
-
Noise Robustness of Data-Driven Star Classification
-
Invertible Neural Network-Based Video Compression
-
SynFine: Boosting Image Segmentation Accuracy Through Synthetic Data Generation and Surgical Fine-Tuning
-
Automatic Coronary Angiogram Keyframe Extraction
-
TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models
-
Agnostic eXplainable Artificial Intelligence (XAI) Method Based on Volterra Series
-
Generalized Torsion-Curvature Scale Space Descriptor for 3-Dimensional Curves
-
Improving the Accuracy of Tracker by Linearized Transformer
-
A Comparative Study of BRISK, ORB and DAISY Features for Breast Cancer Classification
-
Visualizing Grassmannians via Poincare Embeddings
-
Damast: A Visual Analysis Approach for Religious History Research
-
Contrast Driven Color-Group Assignment in Categorical Data Visualization
-
Visual Document Exploration with Adaptive Level of Detail: Design, Implementation and Evaluation in the Health Information Domain
-
Trajectory-Based Dynamic Boundary Map Labeling
-
The Compilation of 2D and 3D Dynamic Visualizations
-
Viewpoint-Based Quality for Analyzing and Exploring 3D Multidimensional Projections
-
Model Order in Sugiyama Layouts
-
Evaluating Differences in Insights from Interactive Dimensionality Reduction Visualizations Through Complexity and Vocabulary
-
Using Well-Known Techniques to Visualize Characteristics of Data Quality
-
Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity
-
XAIVIER the Savior: A Web Application for Interactive Explainable AI in Time Series Data
-
Towards a Visual Analytics Workflow for Cybersecurity Simulations
-
Evaluating Architectures and Hyperparameters of Self-supervised Network Projections
-
BigGraphVis: Visualizing Communities in Big Graphs Leveraging GPU-Accelerated Streaming Algorithms
-
The HORM Diagramming Tool: A Domain-Specific Modelling Tool for SME Cybersecurity Awareness
-
Interactive Exploration of Complex Heterogeneous Data: A Use Case on Understanding City Economics
-
A Comparative Study on Vision Transformers in Remote Sensing Building Extraction
-
On Metavisualization and Properties of Visualization
-
An Interactive Graph Layout Constraint Framework
-
Supporting University Research and Administration via Interactive Visual Exploration of Bibliographic Data
-
Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors
-
MR to CT Synthesis Using GANs: A Practical Guide Applied to Thoracic Imaging
-
A Survey of Geospatial-Temporal Visualizations for Military Operations
-
InTra: A Pragmatic Approach of Using Rule-Based Model Transformation to Reduce Complexity of UML and SysML Models
-
Lightweight Software Language Processing Using Antlr and CGTL
-
On the Interest of Combining Several Variability Tactics to Design the Implementation of Product Lines
-
Mutation of Formally Verified SysML Models
-
Hierarchical Design of Cyber-Physical Systems
-
Go Meta of Learned Cost Models: On the Power of Abstraction
-
A Tool for Supporting Round-Trip Engineering with the Ability to Avoid Unintended Design Changes
-
Model-Driven Collaborative Design of Professional Education Programmes with Extended Online Whiteboards
-
Visualizing Errors and Inconsistencies in the DSML IEC 61499
-
A Modelling Methodology for Developing an Information Model for Cyber-Physical Production Systems using OPC UA
-
Towards Specification of Medical Processes According to International Standards and Semantic Interoperability Needs
-
A Proposal Towards Discovering Metamodels from Low-Code Application Platforms
-
Model-Driven Optimisation of Monitoring System Configurations for Batch Production
-
Modeling Machine Learning Concerns in Collective Adaptive Systems
-
Application of a Process-Oriented Build Tool for Verification and Validation of a Battery Slave Controller for a Battery Modular Multilevel Management System Along the DO-178C/DO-331 Process
-
Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems
-
NICE: A Flexible Expression Language
-
Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems
-
Creating Python-Style Domain Specific Languages: A Semi-Automated Approach and Intermediate Results
-
Exploiting Meta-Model Structures in the Generation of Xtext Editors
-
Experiences and Lessons from Introducing Model-Based Analysis in Brown-Field Product Family Development
-
Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review
-
An Integrated Framework for Running Extended Class Models
-
Supporting Change Impact Analysis in System Architecture Design: Towards a Domain-Specific Modeling Method
-
Verifying Static Constraints on Models Using General Formal Verification Methods
-
Enhancing Deep Learning with Scenario-Based Override Rules: A Case Study
-
Towards Multi-Level Structuring of Goal-Oriented Models for Improved Model-Based Systems Engineering
-
Toward Automated Modeling of Abstract Concepts and Natural Phenomena: Autoencoding Straight Lines
-
ATMO: Autonomous Train Map Ontology
-
Future Directions for MBSE with SysML v2
-
Multi-Wavelength High-Resolution Fourier Ptychographic Microscopy Using a Hemispherical LED Array
-
Barrier Structure for Ga-Free Type-II Superlattice Midwave Infrared Photodetector
-
Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning
-
Mode Analysis of Hybrid Plasmonic Waveguide Using Multilayer Spectral Green’s Function and Rational Function Fitting Method
-
Design of Inner Baffle Array for Compact Multi-Aperture Off-Axis Optical System
-
Performance Evaluation of IREDA Prototype System: An IR-Based Portable Electronic Detection System for Blood Alcohol Concentration
-
Simulation and Experiment of Ghost Imaging-OCT Target Imaging in Scattering Media
-
Environmental Pollution Assessment with Indicator Plant Under Ozone Gas Atmosphere by Using OCT
-
Imaging System Front-End at 202GHz Using LO/RF Isolation of Harmonic Mixer for Illumination
-
Generation and Characterization of Fork Gratings in Fused Silica
-
Short Pulse Generation in Erbium-Doped Fiber Lasers Using Graphene Oxide as a Saturable Absorber
-
Improvement in Thermal Resistance of Surface-Emitting Quantum Cascade Laser by Using a Diamond Submount
-
Investigations on Sensitivity of Modal Fibre-Interferometer for Acoustic Detection
-
Ultra-Sensitivity Widefield, Confocal Surface Plasmon Interferometry Using Sequential Coding
-
TSCH Slotframe Optimization Using Differential Evolution Algorithm for Heterogeneous Sensor Networks
-
SLAE6: Secure and Lightweight Authenticated Encryption Scheme for 6LoWPAN Networks
-
On the Path Towards Standardisation of a Sensor API for Forensics Investigations
-
LoRa Structural Monitoring Wireless Sensor Networks
-
Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices
-
Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace
-
A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations
-
Gateway Placement in LoRaWAN Enabled Sensor Networks
-
A Survey on Algorithmic Problems in Wireless Systems
-
A Simulation-Based Testing to Evaluate and Improve a Radar Sensor Performance in a Use Case of Highly Automated Driving Systems
-
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
-
Railway Switch Classification Using Deep Neural Networks
-
Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage
-
Generative Adversarial Network Synthesis for Improved Deep Learning Model Training of Alpine Plants with Fuzzy Structures
-
A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models
-
Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control
-
Flexible Extrinsic Structured Light Calibration Using Circles
-
Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning
-
CoDA-Few: Few Shot Domain Adaptation for Medical Image Semantic Segmentation
-
Let’s Get the FACS Straight: Reconstructing Obstructed Facial Features
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Classification and Embedding of Semantic Scene Graphs for Active Cross-Domain Self-Localization
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Semantic Segmentation on Neuromorphic Vision Sensor Event-Streams Using PointNet++ and UNet Based Processing Approaches
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Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
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Deformable and Structural Representative Network for Remote Sensing Image Captioning
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Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds
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Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution
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Interactive Indoor Localization Based on Image Retrieval and Question Response
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Fully Convolutional Neural Network for Event Camera Pose Estimation
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Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish
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An Extension of the Radial Line Model to Predict Spatial Relations
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Persistent Homology Based Generative Adversarial Network
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A Basic Tool for Improving Bad Illuminated Archaeological Pictures
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AI-Powered Management of Identity Photos for Institutional Staff Directories
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High-Level Workflow Interpreter for Real-Time Image Processing
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Robust RGB-D-IMU Calibration Method Applied to GPS-Aided Pose Estimation
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PG-3DVTON: Pose-Guided 3D Virtual Try-on Network
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Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation
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Masking and Mixing Adversarial Training
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Hand Segmentation with Mask-RCNN Using Mainly Synthetic Images as Training Sets and Repetitive Training Strategy
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FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus
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Data-Driven Fingerprint Reconstruction from Minutiae Based on Real and Synthetic Training Data
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3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations
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Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
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Concept Explainability for Plant Diseases Classification
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UMVpose++: Unsupervised Multi-View Multi-Person 3D Pose Estimation Using Ground Point Matching
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Maritime Surveillance by Multiple Data Fusion: An Application Based on Deep Learning Object Detection, AIS Data and Geofencing
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Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement
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ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce
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Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data
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Automatic Fracture Detection and Characterization in Borehole Images Using Deep Learning-Based Semantic Segmentation
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Data-Efficient Transformer-Based 3D Object Detection
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EHDI: Enhancement of Historical Document Images via Generative Adversarial Network
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Two-Model-Based Online Hand Gesture Recognition from Skeleton Data
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Synthesis for Dataset Augmentation of H&E Stained Images with Semantic Segmentation Masks
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Fruit Defect Detection Using CNN Models with Real and Virtual Data
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Search for Rotational Symmetry of Binary Images via Radon Transform and Fourier Analysis
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Uncertainty-Aware DPP Sampling for Active Learning
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N-MuPeTS: Event Camera Dataset for Multi-Person Tracking and Instance Segmentation
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Football360: Introducing a New Dataset for Camera Calibration in Sports Domain
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Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model
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Estimation of Robot Motion Parameters Based on Functional Consistency for Randomly Stacked Parts
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Finger-UNet: A U-Net Based Multi-Task Architecture for Deep Fingerprint Enhancement
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Deep Neural Network Based Attention Model for Structural Component Recognition
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Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events
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Near-infrared Lipreading System for Driver-Car Interaction
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Contactless Optical Detection of Nocturnal Respiratory Events
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Image Quality Assessment for Object Detection Performance in Surveillance Videos
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Memory-Efficient Implementation of GMM-MRCoHOG for Human Recognition Hardware
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Complement Objective Mining Branch for Optimizing Attention Map
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Counting People in Crowds Using Multiple Column Neural Networks
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Study of Coding Units Depth for Depth Maps Quality Scalable Compression Using SHVC
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Novel View Synthesis for Unseen Surgery Recordings
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Shape-based Features Investigation for Preneoplastic Lesions on Cervical Cancer Diagnosis
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A Low-Cost Process for Plant Motion Magnification for Smart Indoor Farming
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Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios
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SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning
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Industrial Visual Defect Inspection of Electronic Components with Siamese Neural Network
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Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition
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Re-Learning ShiftIR for Super-Resolution of Carbon Nanotube Images
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A Wearable Device Application for Human-Object Interactions Detection
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Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification
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Generating Pedestrian Views from In-Vehicle Camera Images
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Adaptive Resolution Selection for Improving Segmentation Accuracy of Small Objects
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Seeing Risk of Accident from In-Vehicle Cameras
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Towards a Robust Solution for the Supermarket Shelf Audit Problem
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Predicting Eye Gaze Location on Websites
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EFL-Net: An Efficient Lightweight Neural Network Architecture for Retinal Vessel Segmentation
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Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction
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Concept Study for Dynamic Vision Sensor Based Insect Monitoring
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Multichannel Analysis in Weed Detection
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ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images
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Fast Skeletons of Handwritten Texts in Digital Images
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Image Quality Assessment in the Context of the Brazilian Electoral System
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IncludeVote: Development of an Assistive Technology Based on Computer Vision and Robotics for Application in the Brazilian Electoral Context
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Evaluation of U-Net Backbones for Cloud Segmentation in Satellite Images
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Automatic Robotic Arm Calibration for the Integrity Test of Voting Machines in the Brazillian 2022's Election Context
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ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation
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Inverse Rendering Based on Compressed Spatiotemporal Infomation by Neural Networks
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Colonoscopic Polyp Detection with Deep Learning Assist
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Combined Unsupervised and Supervised Learning for Improving Chest X-Ray Classification
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Toward a Thermal Image-Like Representation
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Face-Based Gaze Estimation Using Residual Attention Pooling Network
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Multimodal Light-Field Camera with External Optical Filters Based on Unsupervised Learning
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You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans
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When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset
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Handwriting Recognition in Down Syndrome Learners Using Deep Learning Methods
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An Unsupervised IR Approach Based Density Clustering Algorithm
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FlexPooling with Simple Auxiliary Classifiers in Deep Networks
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Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
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Curriculum Learning for Compositional Visual Reasoning
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Learning Less Generalizable Patterns for Better Test-Time Adaptation
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FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flows
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Emotion Transformer: Attention Model for Pose-Based Emotion Recognition
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Efficient Deep Learning Ensemble for Skin Lesion Classification
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Linking Data Separation, Visual Separation, and Classifier Performance Using Pseudo-labeling by Contrastive Learning
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HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet
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Few-Shot Gaze Estimation via Gaze Transfer
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Real-Time Monitoring of Crowd Panic Based on Biometric and Spatiotemporal Data
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Dynamically Modular and Sparse General Continual Learning
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Application of Deep Learning to the Detection of Foreign Object Debris at Aerodromes’ Movement Area
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YCbCr Color Space as an Effective Solution to the Problem of Low Emotion Recognition Rate of Facial Expressions In-The-Wild
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Applying Positional Encoding to Enhance Vision-Language Transformers
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Brazilian Banknote Recognition Based on CNN for Blind People
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Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization
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Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems
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FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection
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Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
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DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
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Crane Spreader Pose Estimation from a Single View
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3D Mapping of Indoor Parking Space Using Edge Consistency Census Transform Stereo Odometry
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On Computing Three-Dimensional Camera Motion from Optical Flow Detected in Two Consecutive Frames
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Low-Cost 3D Reconstruction of Caves
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How to Train an Accurate and Efficient Object Detection Model on any Dataset
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Real-Time Obstacle Detection using a Pillar-based Representation and a Parallel Architecture on the GPU from LiDAR Measurements
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Tackling Data Bias in Painting Classification with Style Transfer
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VK-SITS: Variable Kernel Speed Invariant Time Surface for Event-Based Recognition
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System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection
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Synthetic Driver Image Generation for Human Pose-Related Tasks
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Body Part Information Additional in Multi-decoder Transformer-Based Network for Human Object Interaction Detection
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BGD: Generalization Using Large Step Sizes to Attract Flat Minima
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A Novel 3D Face Reconstruction Model from a Multi-Image 2D Set
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Algorithmic Fairness Applied to the Multi-Label Classification Problem
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Improvement of Vision Transformer Using Word Patches
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The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection
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DeepCaps+: A Light Variant of DeepCaps
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IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification
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A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects
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A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection
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Shuffle Mixing: An Efficient Alternative to Self Attention
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Semantic Segmentation by Semi-Supervised Learning Using Time Series Constraint
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3D Human Body Reconstruction from Head-Mounted Omnidirectional Camera and Light Sources
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3D Reconstruction of Occluded Luminous Objects
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Joint Training of Product Detection and Recognition Using Task-Specific Datasets
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Human Motion Prediction on the IKEA-ASM Dataset
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End-to-End Gaze Grounding of a Person Pictured from Behind
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Automatic Defect Detection in Leather
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Image Generation from a Hyper Scene Graph with Trinomial Hyperedges
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Neural Architecture Search in the Context of Deep Multi-Task Learning
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CrowdSim2: An Open Synthetic Benchmark for Object Detectors
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Domain Adaptive Pedestrian Detection Based on Semantic Concepts
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A Robust Deep Learning-Based Video Watermarking Using Mosaic Generation
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Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
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An End-to-End Multi-Task Learning Model for Image-based Table Recognition
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PanDepth: Joint Panoptic Segmentation and Depth Completion
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Multi-Scale Feature Based Fashion Attribute Extraction Using Multi-Task Learning for e-Commerce Applications
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On Attribute Aware Open-Set Face Verification
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Self-Modularized Transformer: Learn to Modularize Networks for Systematic Generalization
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Human Fall Detection from Sequences of Skeleton Features using Vision Transformer
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Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection
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Multi-Camera 3D Pedestrian Tracking Using Graph Neural Networks
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Real-World Case Study of a Deep Learning Enhanced Elderly Person Fall Video-Detection System
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Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection
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YOLO: You Only Look 10647 Times
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Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?
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Visual Anomaly Detection and Localization with a Patch-Wise Transformer and Convolutional Model
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An Experimental Consideration on Gait Spoofing
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Flow-Based Visual-Inertial Odometry for Neuromorphic Vision Sensors Using non-Linear Optimization with Online Calibration
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Banana Ripeness Level Classification Using a Simple CNN Model Trained with Real and Synthetic Datasets
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Using Continual Learning on Edge Devices for Cost-Effective, Efficient License Plate Detection
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Rotation Equivariance for Diamond Identification
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Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography
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FedBID and FedDocs: A Dataset and System for Federated Document Analysis
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Estimating Distances Between People Using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
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Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets
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How far Generated Data Can Impact Neural Networks Performance?
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Object Detection in Floor Plans for Automated VR Environment Generation
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Absolute-ROMP: Absolute Multi-Person 3D Mesh Prediction from a Single Image
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Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness
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MixedTeacher: Knowledge Distillation for Fast Inference Textural Anomaly Detection
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Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations
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Surface-Graph-Based 6DoF Object-Pose Estimation for Shrink-Wrapped Items Applicable to Mixed Depalletizing Robots
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DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth
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A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes
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Impact of Vehicle Speed on Traffic Signs Missed by Drivers
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Transfer Learning for Word Spotting in Historical Arabic Documents Based Triplet-CNN
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Combining Two Adversarial Attacks Against Person Re-Identification Systems
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1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention
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Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer
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Fast Eye Detector Using Siamese Network for NIR Partial Face Images
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Smoothed Normal Distribution Transform for Efficient Point Cloud Registration During Space Rendezvous
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Exploring Deep Learning Capabilities for Coastal Image Segmentation on Edge Devices
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False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation
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Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings
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A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations
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Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
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A Multi-Class Probabilistic Optimum-Path Forest
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Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States
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Combining Metric Learning and Attention Heads for Accurate and Efficient Multilabel Image Classification
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Anisotropic Metasurface for Ultrafast Polarization Control via All-Optical Modulation
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User-Perception of a Webcam-Based Intervention System for Healthy Habits at Computer Workstations
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Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support
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Designing a Digital Personal Coach to Promote a Healthy Diet and Physical Activity Among Patients After Cardiothoracic Surgery
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Top-Funded Digital Health Companies Offering Services for Type-1 Diabetes Patients: Business Models and Scalability Considerations
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Scalable Business Models in Digital Healthy Longevity: Lessons from Top-Funded Digital Health Companies in 2022
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Digital Therapeutics for Healthy Longevity: A Roadmap
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Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report
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A Convolutional Neural Network Model for Prediction of ICU Performance Metrics: Time Series and Image Transformation Approaches
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Knowledge Graph Based Trustworthy Medical Code Recommendations
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Short-Term and Long-Term Readmission Prediction in Uncontrolled Diabetic Patients using Machine Learning Techniques
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Personalized Semantic Annotation Recommendations on Biomedical Content Through an Expanded Socio-Technical Approach
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Attention-Based Explainability Approaches in Healthcare Natural Language Processing
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An NLP-Enhanced Approach to Test Comorbidities Risk Scoring Based on Unstructured Health Data for Hospital Readmissions Prediction
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Medical Devices Used in Extreme Conditions in Pre-Hospital Emergency Medicine: Overview of the Issue, Use Case Regarding Mechanical Ventilation at Altitude and Advice
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How to Create a Biological Sample Collection: Requirements and Tips from an Academic Research Example in France
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Shaping User-Centered Health Innovation Through Assessment
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Regulatory Positioning of an Innovative Biomaterial for Regenerative Medicine: TissYou Project
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Detection of Compound-Type Dark Jargons Using Similar Words
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Natural Language Explanatory Arguments for Correct and Incorrect Diagnoses of Clinical Cases
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Personnel Data Management System for Workforce Analytics
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Defence Workforce Transition Simulation and Analysis
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Quantifying the Impact of Secondary Duties on Sailor Workload Through Simulation
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Course Scheduling Under Uncertainty for Defence Workforce Training
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A Serious Game Development and Usability Test for Blood Phobia Treatment - PHOBOS
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Data Acquisition System for a Wearable-Based Fall Prevention
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On a Real Real-Time Wearable Human Activity Recognition System
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Ground-Truthing in the European Health Data Space
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Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings
-
Fast Exact String to D-Texts Alignments
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SAT-Based Method for Finding Attractors in Asynchronous Multi-Valued Networks
-
A Service-Based Preset Recommendation System for Image Stylization Applications
-
Learning to Participate Through Trading of Reward Shares
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A Robust Adaptive Workload Orchestration in Pure Edge Computing
-
Proposal of a Signal Control Method Using Deep Reinforcement Learning with Pedestrian Traffic Flow
-
Bottom-up Japanese Word Ordering Using BERT
-
IACT: Intensive Attention in Convolution-Transformer Network for Facial Landmark Localization
-
Multi-View Video Synthesis Through Progressive Synthesis and Refinement
-
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
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SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers
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TrichANet: An Attentive Network for Trichogramma Classification
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Monocular Depth Estimation for Tilted Images via Gravity Rectifier
-
Prediction of Shuttle Trajectory in Badminton Using Player's Position
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Towards the Virtual Human Simulator
-
Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges
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Beyond the Third Dimension: How Multidimensional Projections and Machine Learning Can Help Each Other
-
A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI
-
A Hierarchical Approach for Multilingual Speech Emotion Recognition
-
Multimodal Unsupervised Spatio-Temporal Interpolation of Satellite Ocean Altimetry Maps
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Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images
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DaDe: Delay-Adaptive Detector for Streaming Perception
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Environmental Information Extraction Based on YOLOv5-Object Detection in Videos Collected by Camera-Collars Installed on Migratory Caribou and Black Bears in Northern Quebec
-
Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data
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Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval
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Human Object Interaction Detection Primed with Context
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Rethinking the Backbone Architecture for Tiny Object Detection
-
Ultra-Low Power Electronic Circuits Inspired by Biological Genetic Processes
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Turkish Sign Language Recognition Using CNN with New Alphabet Dataset
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Hemodynamics of Convergent Cavopulmonary Connection with Ventricular Assist Device for Fontan Surgery: A Computational and Experimental Study
-
Perceptions on Telemedicine in Portugal During Sars-Cov-2 Pandemic: A Mixed-Methods Study
-
Quantitative Performance Analysis from Discrete Perspective: A Case Study of Chip Detection in Turning Process
-
Neural Style Transfer for Image-Based Garment Interchange Through Multi-Person Human Views
-
Advanced Deep Transfer Learning Using Ensemble Models for COVID-19 Detection from X-ray Images
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Stereoscopy in User: VR Interaction
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Multi-Agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way?
-
Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information
-
FakeRevealer: A Multimodal Framework for Revealing the Falsity of Online Tweets Using Transformer-Based Architectures
-
Exploiting Context in Handwriting Recognition Using Trainable Relaxation Labeling
-
Content Based Image Retrieval Using Depth Maps for Colonoscopy Images
-
Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring
-
An Android App for Posture Analysis Using OWAS
-
Design and Manufacturing of Microtextured Patient-Specific Coronary Stent
-
A Comparative Study of Deep Learning Methods for the Detection and Classification of Natural Disasters from Social Media