• 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
  • Classification and Embedding of Semantic Scene Graphs for Active Cross-Domain Self-Localization
  • Semantic Segmentation on Neuromorphic Vision Sensor Event-Streams Using PointNet++ and UNet Based Processing Approaches
  • Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
  • Deformable and Structural Representative Network for Remote Sensing Image Captioning
  • Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds
  • Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution
  • Interactive Indoor Localization Based on Image Retrieval and Question Response
  • Fully Convolutional Neural Network for Event Camera Pose Estimation
  • Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish
  • An Extension of the Radial Line Model to Predict Spatial Relations
  • Persistent Homology Based Generative Adversarial Network
  • A Basic Tool for Improving Bad Illuminated Archaeological Pictures
  • AI-Powered Management of Identity Photos for Institutional Staff Directories
  • High-Level Workflow Interpreter for Real-Time Image Processing
  • Robust RGB-D-IMU Calibration Method Applied to GPS-Aided Pose Estimation
  • PG-3DVTON: Pose-Guided 3D Virtual Try-on Network
  • Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation
  • Masking and Mixing Adversarial Training
  • Hand Segmentation with Mask-RCNN Using Mainly Synthetic Images as Training Sets and Repetitive Training Strategy
  • FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus
  • Data-Driven Fingerprint Reconstruction from Minutiae Based on Real and Synthetic Training Data
  • 3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations
  • Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
  • Concept Explainability for Plant Diseases Classification
  • UMVpose++: Unsupervised Multi-View Multi-Person 3D Pose Estimation Using Ground Point Matching
  • Maritime Surveillance by Multiple Data Fusion: An Application Based on Deep Learning Object Detection, AIS Data and Geofencing
  • Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement
  • ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce
  • Exploiting GAN Capacity to Generate Synthetic Automotive Radar Data
  • Automatic Fracture Detection and Characterization in Borehole Images Using Deep Learning-Based Semantic Segmentation
  • Data-Efficient Transformer-Based 3D Object Detection
  • EHDI: Enhancement of Historical Document Images via Generative Adversarial Network
  • Two-Model-Based Online Hand Gesture Recognition from Skeleton Data
  • Synthesis for Dataset Augmentation of H&E Stained Images with Semantic Segmentation Masks
  • Fruit Defect Detection Using CNN Models with Real and Virtual Data
  • Search for Rotational Symmetry of Binary Images via Radon Transform and Fourier Analysis
  • Uncertainty-Aware DPP Sampling for Active Learning
  • N-MuPeTS: Event Camera Dataset for Multi-Person Tracking and Instance Segmentation
  • Football360: Introducing a New Dataset for Camera Calibration in Sports Domain
  • Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model
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  • Deep Neural Network Based Attention Model for Structural Component Recognition
  • Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events
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  • Contactless Optical Detection of Nocturnal Respiratory Events
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  • Study of Coding Units Depth for Depth Maps Quality Scalable Compression Using SHVC
  • Novel View Synthesis for Unseen Surgery Recordings
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  • A Low-Cost Process for Plant Motion Magnification for Smart Indoor Farming
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  • Industrial Visual Defect Inspection of Electronic Components with Siamese Neural Network
  • Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition
  • Re-Learning ShiftIR for Super-Resolution of Carbon Nanotube Images
  • A Wearable Device Application for Human-Object Interactions Detection
  • Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification
  • Generating Pedestrian Views from In-Vehicle Camera Images
  • Adaptive Resolution Selection for Improving Segmentation Accuracy of Small Objects
  • Seeing Risk of Accident from In-Vehicle Cameras
  • Towards a Robust Solution for the Supermarket Shelf Audit Problem
  • Predicting Eye Gaze Location on Websites
  • EFL-Net: An Efficient Lightweight Neural Network Architecture for Retinal Vessel Segmentation
  • Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction
  • Concept Study for Dynamic Vision Sensor Based Insect Monitoring
  • Multichannel Analysis in Weed Detection
  • ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images
  • Fast Skeletons of Handwritten Texts in Digital Images
  • Image Quality Assessment in the Context of the Brazilian Electoral System
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  • Evaluation of U-Net Backbones for Cloud Segmentation in Satellite Images
  • Automatic Robotic Arm Calibration for the Integrity Test of Voting Machines in the Brazillian 2022's Election Context
  • ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation
  • Inverse Rendering Based on Compressed Spatiotemporal Infomation by Neural Networks
  • Colonoscopic Polyp Detection with Deep Learning Assist
  • Combined Unsupervised and Supervised Learning for Improving Chest X-Ray Classification
  • Toward a Thermal Image-Like Representation
  • Face-Based Gaze Estimation Using Residual Attention Pooling Network
  • Multimodal Light-Field Camera with External Optical Filters Based on Unsupervised Learning
  • You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans
  • When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset
  • Handwriting Recognition in Down Syndrome Learners Using Deep Learning Methods
  • An Unsupervised IR Approach Based Density Clustering Algorithm
  • FlexPooling with Simple Auxiliary Classifiers in Deep Networks
  • Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
  • Curriculum Learning for Compositional Visual Reasoning
  • Learning Less Generalizable Patterns for Better Test-Time Adaptation
  • FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flows
  • Emotion Transformer: Attention Model for Pose-Based Emotion Recognition
  • Efficient Deep Learning Ensemble for Skin Lesion Classification
  • Linking Data Separation, Visual Separation, and Classifier Performance Using Pseudo-labeling by Contrastive Learning
  • HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet
  • Few-Shot Gaze Estimation via Gaze Transfer
  • Real-Time Monitoring of Crowd Panic Based on Biometric and Spatiotemporal Data
  • Dynamically Modular and Sparse General Continual Learning
  • Application of Deep Learning to the Detection of Foreign Object Debris at Aerodromes’ Movement Area
  • YCbCr Color Space as an Effective Solution to the Problem of Low Emotion Recognition Rate of Facial Expressions In-The-Wild
  • Applying Positional Encoding to Enhance Vision-Language Transformers
  • Brazilian Banknote Recognition Based on CNN for Blind People
  • Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization
  • Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems
  • FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection
  • Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
  • DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
  • Crane Spreader Pose Estimation from a Single View
  • 3D Mapping of Indoor Parking Space Using Edge Consistency Census Transform Stereo Odometry
  • On Computing Three-Dimensional Camera Motion from Optical Flow Detected in Two Consecutive Frames
  • Low-Cost 3D Reconstruction of Caves
  • How to Train an Accurate and Efficient Object Detection Model on any Dataset
  • Real-Time Obstacle Detection using a Pillar-based Representation and a Parallel Architecture on the GPU from LiDAR Measurements
  • Tackling Data Bias in Painting Classification with Style Transfer
  • VK-SITS: Variable Kernel Speed Invariant Time Surface for Event-Based Recognition
  • System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection
  • Synthetic Driver Image Generation for Human Pose-Related Tasks
  • Body Part Information Additional in Multi-decoder Transformer-Based Network for Human Object Interaction Detection
  • BGD: Generalization Using Large Step Sizes to Attract Flat Minima
  • A Novel 3D Face Reconstruction Model from a Multi-Image 2D Set
  • Algorithmic Fairness Applied to the Multi-Label Classification Problem
  • Improvement of Vision Transformer Using Word Patches
  • The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection
  • DeepCaps+: A Light Variant of DeepCaps
  • IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification
  • A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects
  • A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection
  • Shuffle Mixing: An Efficient Alternative to Self Attention
  • Semantic Segmentation by Semi-Supervised Learning Using Time Series Constraint
  • 3D Human Body Reconstruction from Head-Mounted Omnidirectional Camera and Light Sources
  • 3D Reconstruction of Occluded Luminous Objects
  • Joint Training of Product Detection and Recognition Using Task-Specific Datasets
  • Human Motion Prediction on the IKEA-ASM Dataset
  • End-to-End Gaze Grounding of a Person Pictured from Behind
  • Automatic Defect Detection in Leather
  • Image Generation from a Hyper Scene Graph with Trinomial Hyperedges
  • Neural Architecture Search in the Context of Deep Multi-Task Learning
  • CrowdSim2: An Open Synthetic Benchmark for Object Detectors
  • Domain Adaptive Pedestrian Detection Based on Semantic Concepts
  • A Robust Deep Learning-Based Video Watermarking Using Mosaic Generation
  • Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
  • An End-to-End Multi-Task Learning Model for Image-based Table Recognition
  • PanDepth: Joint Panoptic Segmentation and Depth Completion
  • Multi-Scale Feature Based Fashion Attribute Extraction Using Multi-Task Learning for e-Commerce Applications
  • On Attribute Aware Open-Set Face Verification
  • Self-Modularized Transformer: Learn to Modularize Networks for Systematic Generalization
  • Human Fall Detection from Sequences of Skeleton Features using Vision Transformer
  • Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection
  • Multi-Camera 3D Pedestrian Tracking Using Graph Neural Networks
  • Real-World Case Study of a Deep Learning Enhanced Elderly Person Fall Video-Detection System
  • Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection
  • YOLO: You Only Look 10647 Times
  • Subjective Baggage-Weight Estimation from Gait: Can You Estimate How Heavy the Person Feels?
  • Visual Anomaly Detection and Localization with a Patch-Wise Transformer and Convolutional Model
  • An Experimental Consideration on Gait Spoofing
  • Flow-Based Visual-Inertial Odometry for Neuromorphic Vision Sensors Using non-Linear Optimization with Online Calibration
  • Banana Ripeness Level Classification Using a Simple CNN Model Trained with Real and Synthetic Datasets
  • Using Continual Learning on Edge Devices for Cost-Effective, Efficient License Plate Detection
  • Rotation Equivariance for Diamond Identification
  • Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography
  • FedBID and FedDocs: A Dataset and System for Federated Document Analysis
  • Estimating Distances Between People Using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
  • Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets
  • How far Generated Data Can Impact Neural Networks Performance?
  • Object Detection in Floor Plans for Automated VR Environment Generation
  • Absolute-ROMP: Absolute Multi-Person 3D Mesh Prediction from a Single Image
  • Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness
  • MixedTeacher: Knowledge Distillation for Fast Inference Textural Anomaly Detection
  • Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations
  • Surface-Graph-Based 6DoF Object-Pose Estimation for Shrink-Wrapped Items Applicable to Mixed Depalletizing Robots
  • DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth
  • A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes
  • Impact of Vehicle Speed on Traffic Signs Missed by Drivers
  • Transfer Learning for Word Spotting in Historical Arabic Documents Based Triplet-CNN
  • Combining Two Adversarial Attacks Against Person Re-Identification Systems
  • 1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention
  • Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer
  • Fast Eye Detector Using Siamese Network for NIR Partial Face Images
  • Smoothed Normal Distribution Transform for Efficient Point Cloud Registration During Space Rendezvous
  • Exploring Deep Learning Capabilities for Coastal Image Segmentation on Edge Devices
  • False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation
  • Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings
  • A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations
  • Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
  • A Multi-Class Probabilistic Optimum-Path Forest
  • Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States
  • Combining Metric Learning and Attention Heads for Accurate and Efficient Multilabel Image Classification
  • Anisotropic Metasurface for Ultrafast Polarization Control via All-Optical Modulation
  • User-Perception of a Webcam-Based Intervention System for Healthy Habits at Computer Workstations
  • Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support
  • Designing a Digital Personal Coach to Promote a Healthy Diet and Physical Activity Among Patients After Cardiothoracic Surgery
  • Top-Funded Digital Health Companies Offering Services for Type-1 Diabetes Patients: Business Models and Scalability Considerations
  • Scalable Business Models in Digital Healthy Longevity: Lessons from Top-Funded Digital Health Companies in 2022
  • Digital Therapeutics for Healthy Longevity: A Roadmap
  • Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report
  • A Convolutional Neural Network Model for Prediction of ICU Performance Metrics: Time Series and Image Transformation Approaches
  • Knowledge Graph Based Trustworthy Medical Code Recommendations
  • Short-Term and Long-Term Readmission Prediction in Uncontrolled Diabetic Patients using Machine Learning Techniques
  • Personalized Semantic Annotation Recommendations on Biomedical Content Through an Expanded Socio-Technical Approach
  • Attention-Based Explainability Approaches in Healthcare Natural Language Processing
  • An NLP-Enhanced Approach to Test Comorbidities Risk Scoring Based on Unstructured Health Data for Hospital Readmissions Prediction
  • Medical Devices Used in Extreme Conditions in Pre-Hospital Emergency Medicine: Overview of the Issue, Use Case Regarding Mechanical Ventilation at Altitude and Advice
  • How to Create a Biological Sample Collection: Requirements and Tips from an Academic Research Example in France
  • Shaping User-Centered Health Innovation Through Assessment
  • Regulatory Positioning of an Innovative Biomaterial for Regenerative Medicine: TissYou Project
  • Detection of Compound-Type Dark Jargons Using Similar Words
  • Natural Language Explanatory Arguments for Correct and Incorrect Diagnoses of Clinical Cases
  • Personnel Data Management System for Workforce Analytics
  • Defence Workforce Transition Simulation and Analysis
  • Quantifying the Impact of Secondary Duties on Sailor Workload Through Simulation
  • Course Scheduling Under Uncertainty for Defence Workforce Training
  • A Serious Game Development and Usability Test for Blood Phobia Treatment - PHOBOS
  • Data Acquisition System for a Wearable-Based Fall Prevention
  • On a Real Real-Time Wearable Human Activity Recognition System
  • Ground-Truthing in the European Health Data Space
  • Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings
  • Fast Exact String to D-Texts Alignments
  • 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
  • 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
  • SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers
  • TrichANet: An Attentive Network for Trichogramma Classification
  • Monocular Depth Estimation for Tilted Images via Gravity Rectifier
  • Prediction of Shuttle Trajectory in Badminton Using Player's Position
  • Towards the Virtual Human Simulator
  • Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges
  • 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
  • Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images
  • DaDe: Delay-Adaptive Detector for Streaming Perception
  • 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
  • Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval
  • Human Object Interaction Detection Primed with Context
  • Rethinking the Backbone Architecture for Tiny Object Detection
  • Ultra-Low Power Electronic Circuits Inspired by Biological Genetic Processes
  • Turkish Sign Language Recognition Using CNN with New Alphabet Dataset
  • 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
  • Stereoscopy in User: VR Interaction
  • 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