• Reproducing Evacuation Behaviors of Evacuees during the Great East Japan Earthquake using the Evacuation Decision Model with Realistic Settings
  • Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises
  • SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
  • Simulation Framework to Train Intelligent Agents towards an Assisted Driving Power Wheelchair for People with Disability
  • Imperfect Oracles: The Effect of Strategic Information on Stock Markets
  • CAMP-IRL Agents: Extracting Multiple Behavior Profiles for Pedestrian Simulation
  • Adaptive Planning Method for Operations of a Multi-satellite Swarm for Earth Remote Sensing in Real Time
  • A City-aware Car Parks Marketplace for Smart Parking
  • Blockchain-based Task-centric Team Building
  • Network Topology Identification using Supervised Pattern Recognition Neural Networks
  • Strategising RoboCup in Real Time with Uppaal Stratego
  • Effective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency
  • Decentralized Multi-agent Formation Control via Deep Reinforcement Learning
  • An Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up
  • Information-theoretic Cost of Decision-making in Joint Action
  • Let’s Do the Time Warp Again: Human Action Assistance for Reinforcement Learning Agents
  • Mixed Reference Interpretation in Multi-turn Conversation
  • Improving Active Attitude for Interactive Decision-making with Multiple Agents by Increasing Personal Resource
  • Towards Verifying a Blocks World for Teams GOAL Agent
  • Towards Verifying GOAL Agents in Isabelle/HOL
  • A Self-adaptive Module for Cross-understanding in Heterogeneous MultiAgent Systems
  • Dynamic Lot Sizing in a Self-organizing Production
  • Cooperative Neighborhood Learning: Application to Robotic Inverse Model
  • Maintaining Organizational Multi-agent Systems: A Reorganization-based Preventive Approach
  • A Branch and Price Algorithm for Coalition Structure Generation over Graphs
  • Mixed Deep Reinforcement Learning-behavior Tree for Intelligent Agents Design
  • Distributed Serverless Chat Bot Networks using Mobile Agents: A Distributed Data Base Model for Social Networking and Data Analytics
  • A Local Active Learning Strategy by Cooperative Multi-Agent Systems
  • Heterogeneous Preferences and Patterns of Contribution in Cybersecurity as a Public Good
  • Exploring Narrative Economics: An Agent-based-modeling Platform that Integrates Automated Traders with Opinion Dynamics
  • Distributed Framework for Reversible Merging of Heterogeneous Robot Maps
  • Path Planning for Autonomous Vehicles with Dynamic Lane Mapping and Obstacle Avoidance
  • Towards a Model of Empathic Pedagogical Agent for Educating Children and Teenagers on Good Practices in the Use of Social Networks
  • A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization
  • Integrating Shared Information into the Sensorial Mapping of Connected and Autonomous Vehicles
  • Investigation on Stochastic Local Search for Decentralized Asymmetric Multi-objective Constraint Optimization Considering Worst Case
  • Comparing Elementary Cellular Automata Classifications with a Convolutional Neural Network
  • Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance
  • The Power Index at Infinity: Weighted Voting in Sequential Infinite Anonymous Games
  • Solving Maximal Stable Set Problem via Deep Reinforcement Learning
  • Inconsistency-tolerant Hierarchical Probabilistic Computation Tree Logic and Its Application to Model Checking
  • Forecasting Air Pollution in Munich: A Comparison of MLR, ANFIS, and SVM
  • Multi-scale Convolutional Neural Networks for the Prediction of Human-virus Protein Interactions
  • Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF
  • Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features
  • The Person Index Challenge: Extraction of Persons from Messy, Short Texts
  • Generating Commonsense Ontologies with Answer Set Programming
  • Quantum Control for Error Correction using Mother Tee Optimization
  • Probabilistic (k,l)-Context-Sensitive Grammar Inference with Gibbs Sampling Applied to Chord Sequences
  • Causal Campbell-Goodhart’s Law and Reinforcement Learning
  • Incremental Learning for Real-time Partitioning for FPGA Applications
  • Optimal Distribution of CNN Computations on Edge and Cloud
  • Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It
  • Markov Logic Network for Metaphor Set Expansion
  • Using Game AI to Control a Simulated Economy
  • Twin-GAN for Neural Machine Translation
  • Smartphone Glass Inspection System
  • Using Deep Learning for Trajectory Classification
  • A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories
  • Generating Reactive Robots’ Behaviors using Genetic Algorithms
  • An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization
  • A Framework of Hierarchical Deep Q-Network for Portfolio Management
  • Sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices
  • Micro-YOLO: Exploring Efficient Methods to Compress CNN based Object Detection Model
  • Modeling and Simulation of Associative Reasoning
  • ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent
  • Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts
  • Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning
  • Decoupling State Representation Methods from Reinforcement Learning in Car Racing
  • Compiling Possibilistic Networks to Compute Learning Indicators
  • Post-hoc Explanation using a Mimic Rule for Numerical Data
  • YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
  • Prediction of Cotton Field on Integrated Environmental Data
  • Contract Metadata Identification in Czech Scanned Documents
  • Can We Detect Harmony in Artistic Compositions? A Machine Learning Approach
  • Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game ’Connect 4’
  • Sentence Boundary Detection in German Legal Documents
  • A New Parking Space Allocation System based on a Distributed Constraint Optimization Approach
  • Recipe Enrichment: Knowledge Required for a Cooking Assistant
  • Beneficial Effect of Combined Replay for Continual Learning
  • Receiving Messages in Their Correct Order: Analyzing Broadcast Protocols in Dynamic Epistemic Logics
  • Novelty Detection in Physical Activity
  • Explainable Reinforcement Learning for Longitudinal Control
  • Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies
  • Dancing Guide: Near Realtime Audio Classification of Live Dance Music on Smartphones
  • GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control
  • Understand Watchdogs: Discover How Game Bot Get Discovered
  • Domain Adaptation Multi-task Deep Neural Network for Mitigating Unintended Bias in Toxic Language Detection
  • Congestion-Aware Stochastic Path Planning and Its Applications in Real World Navigation
  • A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments
  • Web-Gorgias-B: Argumentation for All
  • VICA: A Vicarious Cognitive Architecture Environment Model for Navigation Among Movable Obstacles
  • On the Prediction of a Nonstationary Bernoulli Distribution based on Bayes Decision Theory
  • Non-alternative Artificial and Natural Intelligences Partnership for Put up Shoot in and Return to Rational Co-evolution with Noosphere
  • ML-based Decision Support for CSP Modelling with Regular Membership and Table Constraints
  • A Best-first Backward-chaining Search Strategy based on Learned Predicate Representations
  • Autoencoder Watchdog Outlier Detection for Classifiers
  • Adaptive Semantic Routing in Dynamic Environments
  • Temporal Transfer Learning for Ozone Prediction based on CNN-LSTM Model
  • On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?
  • LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control
  • Emotion Recognition through Voting on Expressions in Multiple Facial Regions
  • How Are the Members of a Parliament Arguing? Analysis of an Argument Corpus
  • A Comparison of Bayesian and Frequentist Approaches for the Case of Accident and Safety Analysis, as a Precept for All AI Expert Models
  • A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset
  • Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem
  • Cycle4Value: A Blockchain-based Reward System to Promote Cycling and Reduce CO2 Footprint
  • On Explanation of Propositional Logic-based Argumentation System
  • Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation
  • An Effective Driver Intention and Trajectory Prediction for Autonomous Vehicle based on LSTM
  • Improving Decision-Making-Process for Robot Navigation Under Uncertainty
  • Analyzing Adversarial Attacks against Deep Learning for Robot Navigation
  • Dynamic and Scalable Deep Neural Network Verification Algorithm
  • Mathematical Programming Approach for Adversarial Attack Modelling
  • TWIN-GRU: Twin Stream GRU Network for Action Recognition from RGB Video
  • Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
  • Secrecy-preserving Reasoning in Acyclic DL-LiteR Knowledge Bases in the Presence of BCQs
  • Word Reordering and Comma Insertion Integrated with Shift-Reduce Dependency Parsing
  • The Determinants of Social Media Engagement for Fashion Industry in Oman: A Descriptive Analysis
  • Multi-feature and Modular Pedestrian Intention Prediction using a Monocular Camera
  • Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence
  • Masked Hard Coverage Mechanism on Pointer-generator Network for Natural Language Generation
  • A Secure Integrated Fog Cloud-IoT Architecture based on Multi-Agents System and Blockchain
  • Bet-based Evolutionary Algorithms: Self-improving Dynamics in Offspring Generation
  • A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders
  • Informer, an Information Organization Transformer Architecture
  • An Ensemble-based Approach by Fine-Tuning the Deep Transfer Learning Models to Classify Pneumonia from Chest X-Ray Images
  • Unsupervised Word Sense Disambiguation based on Word Embedding and Collocation
  • Interpretability in Word Sense Disambiguation using Tsetlin Machine
  • Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites
  • Computer Modeling of the Dynamics of Interregional Freight Transport Depending on Macroeconomic Indicators
  • Market Impact in Trader-agents: Adding Multi-level Order-flow Imbalance-sensitivity to Automated Trading Systems
  • Multiple Pursuers TrailMax Algorithm for Dynamic Environments
  • On Informative Tweet Identification for Tracking Mass Events
  • Measuring Inflation within Virtual Economies using Deep Reinforcement Learning
  • AutoGE: A Tool for Estimation of Grammatical Evolution Models
  • Scalable Stochastic Path Planning under Congestion
  • A Measurement for Essential Conflict in Dempster-Shafer Theory
  • A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features
  • Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research
  • Robust Emergency Medical System Design as a Multi-objective Goal Programming Problem
  • Bi-objective Optimization Model for Determining Shelter Location-allocation in Humanitarian Relief Logistics
  • Multicriteria Decision Method for Project Ranking Considering Uncertainty
  • Multi-Mode RCPSP with Safety Margin Maximization: Models and Algorithms
  • Enterprise Architecture Model Transformation Engine
  • Effectiveness of Comments on Self-reflection Sheet in Predicting Student Performance
  • A Methodology for Deriving Evaluation Criteria for Software Solutions
  • An Algorithmic Approach to Online Multi-Facility Location Problems
  • Decision Support for Bundle Shipment Choices: Orthogonal Two-dimensional Bin Packing with Practical Constraints
  • Development of a Purchasing Portfolio Model for the Health Sector: A Case Study of a Central Hospital
  • Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls
  • Decision Guidance Framework for a Hybrid Renewable Energy System Investment Model
  • Discounted Markov Decision Processes with Fuzzy Rewards Induced by Non-fuzzy Systems
  • Pricing Competition in a Duopoly with Self-adapting Strategies
  • Using Goal Directed Techniques for Journey Planning with Multi-criteria Range Queries in Public Transit
  • Storage Fees in a Container Yard with Multiple Customer Types
  • Integration of Life Cycle Assessment and Data Envelopment Analysis using a Free Disposable Hull Approach to Evaluate Farms’ Eco-efficiency
  • Logical Workflow Analysis based on Multiple Criteria Decision Analysis: Industrial Application for a Make to Order Environment
  • Determining the Required Size of a Military Training Pipeline
  • Business Intelligence and Innovation: An European Digital Innovation Hub to Increase System Interaction and Value Co-creation within and among Service Systems
  • An Adjustable Robust Formulation and a Decomposition Approach for the Green Vehicle Routing Problem with Uncertain Waiting Time at Recharge Stations
  • A Decision Guidance System for Optimal Operation of Hybrid Power Desalination Service Network
  • Analysis of the Hiring Cost Impact with a Bi-objective Model for the Multi-depot Open Location Routing Problem
  • Soft Directional Substitutable based Decompositions for MOVCSP
  • Analysing the Risk Propagation in the Project Portfolio Network using the SIRF Model
  • Measuring Sustainability Performance in the Product Level
  • A Data-thrifty Approach to Routing Optimization
  • Towards Distributed Local Search Through Neighborhood Combinators
  • A Cooperative Market-based Decision Guidance Approach for Resilient Power Systems
  • Catalyzing the Agility, Accessibility, and Predictability of the Manufacturing-Entrepreneurship Ecosystem through Design Environments and Markets for Virtual Things
  • Interpretive Structural Model-based for Analysis of Causes of Delays in Construction Projects: The Portuguese Case
  • A Very Large Scale Neighborhood Approach to Pickup and Delivery Problems with Time Windows
  • Multi-product, Multi-supplier Order Assignment and Routing for an e-Commerce Application in the Retail Sector
  • Towards Blockchain-based Ride-sharing Systems
  • Flexibility in Home Delivery by Enabling Time Window Changes
  • Stochastic Optimization Algorithm based on Deterministic Approximations
  • Location Techniques for the Design of a Walking Aid Network for Visual Impaired Students
  • A LP Relaxation based Matheuristic for Multi-objective Integer Programming
  • An Optimization Model to Help Cruise Companies to Evaluate their Offer in a Basin
  • Trends Identification in Medical Care
  • Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale
  • State Tracking in the Presence of Heavy-tailed Observations
  • Indextron
  • Active Output Selection Strategies for Multiple Learning Regression Models
  • Continuous Driver Activity Recognition from Short Isolated Action Sequences
  • Self-adaptive Norm Update for Faster Gradient-based L2 Adversarial Attacks and Defenses
  • Task Specific Image Enhancement for Improving the Accuracy of CNNs
  • Improving the Grid-based Clustering by Identifying Cluster Center Nodes and Boundary Nodes Adaptively
  • Object Tracking using Correction Filter Method with Adaptive Feature Selection
  • Revisiting the Deformable Convolution by Visualization
  • Interpreting Convolutional Networks Trained on Textual Data
  • Multi-level Feature Selection for Oriented Object Detection
  • Demonstrating the Vulnerability of RGB-D based Face Recognition to GAN-generated Depth-map Injection
  • MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps
  • An ALPR System-based Deep Networks for the Detection and Recognition
  • Synergy Conformal Prediction for Regression
  • Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering
  • Automated Machine Learning for Wind Farms Location
  • An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images
  • Movement Control with Vehicle-to-Vehicle Communication by using End-to-End Deep Learning for Autonomous Driving
  • Lifting Sequence Length Limitations of NLP Models using Autoencoders
  • Single Stage Class Agnostic Common Object Detection: A Simple Baseline
  • Optimization of Image Embeddings for Few Shot Learning
  • TrajNet: An Efficient and Effective Neural Network for Vehicle Trajectory Classification
  • A Comparison of Few-shot Classification of Human Movement Trajectories
  • Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
  • Deep Learning based Model Identification System Exploits the Modular Structure of a Bio-inspired Posture Control Model for Humans and Humanoids
  • Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
  • Seam Carving for Image Classification Privacy
  • Domain Shift in Capsule Networks
  • Surface EMG Signal Classification for Parkinson’s Disease using WCC Descriptor and ANN Classifier
  • Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network
  • Predicting Malware Attacks using Machine Learning and AutoAI
  • Speech Recognition using Deep Canonical Correlation Analysis in Noisy Environments
  • Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
  • A Blended Attention-CTC Network Architecture for Amharic Text-image Recognition
  • Automated Detection of COVID-19 from CT Scans using Convolutional Neural Networks
  • Automatic Diagnosis of COPD in Lung CT Images based on Multi-View DCNN
  • The Importance of Models in Data Analysis with Small Human Movement Datasets: Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
  • Capsule Networks with Intersection over Union Loss for Binary Image Segmentation
  • Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network
  • Applying Automated Machine Learning to Improve Budget Estimates for a Naval Fleet Maintenance Facility
  • Generalized Dilation Structures in Convolutional Neural Networks
  • Individual Action and Group Activity Recognition in Soccer Videos from a Static Panoramic Camera
  • Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments
  • Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson’s Severity Assessment
  • Active Region Detection in Multi-spectral Solar Images
  • Improved HTM Spatial Pooler with Homeostatic Plasticity Control
  • Object Detection and Text Recognition in Large-scale Technical Drawings
  • Opinion Mining using TRC Techniques
  • Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting
  • Graph Convolution Networks for Cell Segmentation
  • Experimental Application of a Japanese Historical Document Image Synthesis Method to Text Line Segmentation
  • Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models
  • A High Accuracy Text Detection Model of Newly Constructing and Training Strategies
  • New Maximum Similarity Method for Object Identification in Photon Counting Imaging
  • Converting Image Labels to Meaningful and Information-rich Embeddings
  • Scene Detection in De Boer Historical Photo Collection
  • Balancing Performance and Effort in Deep Learning via the Fusion of Real and Synthetic Cultural Heritage Photogrammetry Training Sets
  • Automatic Annotations and Enrichments for Audiovisual Archives
  • Multi-modal Label Retrieval for the Visual Arts: The Case of Iconclass
  • Strengthening Low-resource Neural Machine Translation through Joint Learning: The Case of Farsi-Spanish
  • Augmented Spanish-Persian Neural Machine Translation
  • ArabiaNer: A System to Extract Named Entities from Arabic Content
  • CNN-LSTM-CRF for Aspect-Based Sentiment Analysis: A Joint Method Applied to French Reviews
  • Aspect Based Sentiment Analysis using French Pre-Trained Models
  • Neural Machine Translation for Amharic-English Translation
  • Memory State Tracker: A Memory Network based Dialogue State Tracker
  • Comprehensive Transcriptional Analysis Reveals Gene-specific Transcriptional Variations in a Seed Plant, Arabidopsis thaliana
  • Vector Quantization to Visualize the Detection Process
  • Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey
  • Trading Agent Competition with Autonomous Economic Agents
  • Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband
  • The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception
  • Evaluating Correlations in IoT Sensors for Smart Buildings
  • Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems
  • A Multi-Agent Negotiation Strategy for Reducing the Flowtime
  • Comparative Evaluation of Road Traffic Simulators based on Modeler’s Specifications: An Application to Intermodal Mobility Behaviors
  • A Systematic Review about Requirements Engineering Processes for Multi-Agent Systems
  • Multi-Agent Goal Reasoning with the CLIPS Executive in the RoboCup Logistics League
  • Bio-Inspired Protocols for Embodied Multi-Agent Systems
  • Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning
  • Automatic Definition of MOISE Organizations for Adaptive Workflows
  • On using Theorem Proving for Cognitive Agent-oriented Programming
  • Application of Multiagent System and Tabu Search for Truck Dispatching in Open-pit Mines
  • Comparing Privacy Policies of Government Agencies and Companies: A Study using Machine-learning-based Privacy Policy Analysis Tools
  • Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
  • Design and Implementation of German Legal Decision Corpora
  • CogToM: A Cognitive Architecture Implementation of the Theory of Mind
  • A Probabilistic Theory of Abductive Reasoning
  • A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning
  • Manufacturing Control in Job Shop Environments with Reinforcement Learning
  • Online Learning of non-Markovian Reward Models
  • A Quality Framework for Automated Planning Knowledge Models
  • A Diagnosis Support System for Veterinary Necropsy based on Bayesian Networks
  • Analysis of Feature Representations for Anomalous Sound Detection
  • An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning
  • In-car Damage Dirt and Stain Estimation with RGB Images
  • Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization
  • Discrete and Continuous Deep Residual Learning over Graphs
  • Real-time Active Vision for a Humanoid Soccer Robot using Deep Reinforcement Learning
  • Drivable Area Extraction based on Shadow Corrected Images
  • Traffic Sign Recognition System based on Belief Functions Theory
  • Sensorless Coil Temperature Measurements using Neural Networks for Voltage Control
  • A Two Step Fine-tuning Approach for Text Recognition on Identity Documents
  • Headway and Following Distance Estimation using a Monocular Camera and Deep Learning
  • Portable High-level Agent Programming with golog++
  • A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses
  • Novel Radar-based Gesture Recognition System using Optimized CNN-LSTM Deep Neural Network for Low-power Microcomputer Platform
  • A QUBO Model to the Tail Assignment Problem
  • HNAS: Hyper Neural Architecture Search for Image Segmentation
  • On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand
  • WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets
  • Pairwise Cosine Similarity of Emission Probability Matrix as an Indicator of Prediction Accuracy of the Viterbi Algorithm
  • Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis
  • Acoustic Leak Detection in Water Networks
  • Introducing the Hidden Neural Markov Chain Framework
  • ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles
  • Tourism Forecast with Weather, Event, and Cross-industry Data
  • Identifying Depression Clues using Emotions and AI
  • On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline
  • Using Machine Learning to Forecast Air and Water Quality
  • Is Your Chatbot Perplexing?: Confident Personalized Conversational Agent for Consistent Chit-Chat Dialogue
  • SLPRNet: A 6D Object Pose Regression Network by Sample Learning
  • LSTM-based System for Multiple Obstacle Detection using Ultra-wide Band Radar
  • Comparing Dependency-based Compositional Models with Contextualized Word Embeddings
  • Identifying Geographical Areas using Machine Learning for Enrolling Women in the Canadian Armed Forces
  • A Hierarchical Decomposition Approach for the Optimal Design of a District Cooling System
  • On the Optimal Allocation of Resources for a Marketing Campaign
  • Machine Learning and Optimization for Predictive Maintenance based on Predicting Failure in the Next Five Days
  • Multi-trip Pickup and Delivery Problem, with Split Loads, Profits and Multiple Time Windows to Model a Real Case Problem in the Construction Industry
  • Mathematical Model for Estimating Nutritional Status of the Population with Poor Data Quality in Developing Countries: The Case of Chile
  • Modeling the Cabin Capacity Allocation Problem in the Cruise Industry: An Italian Case Study
  • Properties and Bounds for the Single-vehicle Capacitated Routing Problem with Time-dependent Travel Times and Multiple Trips
  • Mixed-Integer Constrained Grey-Box Optimization based on Dynamic Surrogate Models and Approximated Interval Analysis
  • A Regeneration Placement, Routing and Spectrum Assignment Solution for Translucent Elastic Optical Networks: A Joint Optimization Approach
  • Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection
  • Garment Detection in Catwalk Videos
  • FLIC: Fast Lidar Image Clustering
  • Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation
  • Data Fusion of Histological and Immunohistochemical Image Data for Breast Cancer Diagnostics using Transfer Learning
  • Outlier Detection in Network Traffic Monitoring
  • Few-Shot Class Incremental Learning with Generative Feature Replay
  • Common Topic Identification in Online Maltese News Portal Comments
  • Web based Object Annotation Tool using a Triplet-ReID Sorting Approach
  • Data Scarcity: Methods to Improve the Quality of Text Classification
  • SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network
  • Exploring Slow Feature Analysis for Extracting Generative Latent Factors
  • On the Improvement of Feature Selection Techniques: The Fitness Filter
  • Efficient Secure Communication for Distributed Multi-Agent Systems
  • Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving
  • Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
  • Obsolescence Prediction based on Joint Feature Selection and Machine Learning Techniques
  • Combining a Declarative Language and an Imperative Language for Bidirectional Incremental Model Transformations
  • From User Stories to Models: A Machine Learning Empowered Automation
  • TranspLanMeta: A Metamodel for TranspLan Modeling Language
  • Addressing Industrial Needs with the Fulib Modeling Library
  • An MDE Method for Improving Deep Learning Dataset Requirements Engineering using Alloy and UML
  • Performance Aspects of Correctness-oriented Synthesis Flows
  • Improving Digital Twin Experience Reports
  • From Quantities in Software Models to Implementation
  • Direct Model-checking of SysML Models
  • Interfacing Digital and Analog Models for Fast Simulation and Virtual Prototyping
  • A Modeling Workbench for the Development of Situation-specific Test Co-migration Methods
  • Integrating Kahn Process Networks as a Model of Computation in an Extendable Model-based Design Framework
  • Empirical and Theoretical Evaluation of USE and OCLE Tools
  • A Model-driven Implementation of PSCS Specification for C++
  • Model-based Analysis Support for Dependable Complex Systems in CHESS
  • A Framework for Projectional Multi-variant Model Editors
  • Approach for Evolving Sensing and Actuation Devices in Cyberphysical Systems Architectures
  • SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs
  • Towards a Theory of Models in Systems Development Modeling
  • Layer Modeling and Its Code Generation based on Context-oriented Programming
  • Verification of Scenario-based Behavioural Models using Capella and PyNuSMV
  • Extending BPM(N) to Support Face-to-Virtual (F2V) Process Modeling
  • Towards Repairing Scenario-Based Models with Rich Events
  • Multi-view-Model Risk Assessment in Cyber-Physical Production Systems Engineering
  • Process Digitalization using Blockchain: EU Parliament Elections Case Study
  • Textual Approach for Designing Database Conceptual Models: A Focus Group
  • Towards a Model Transformation based Code Renovation Tool
  • Transforming Data Flow Diagrams for Privacy Compliance
  • HERO vs. Zombie: Identifying Zombie Guests in a Virtual Machine Environment
  • Characterization of Software Design and Collaborative Modeling in Open Source Projects
  • RCM: Requirement Capturing Model for Automated Requirements Formalisation
  • RCM-Extractor: Automated Extraction of a Semi Formal Representation Model from Natural Language Requirements
  • SRCM: A Semi Formal Requirements Representation Model Enabling System Visualisation and Quality Checking
  • Continuous Integration in Multi-view Modeling: A Model Transformation Pipeline Architecture for Production Systems Engineering
  • Dedicated Model Transformation Languages vs. General-purpose Languages: A Historical Perspective on ATL vs. Java
  • Towards Evolutionary Multi-layer Modeling with DMLA
  • SeGa4Biz: Model-Driven Framework for Developing Serious Games for Business Processes
  • An Efficient Low-power Wake-up Receiver Architecture for Power Saving for Transmitter and Receiver Communications
  • Low Energy ECG Features Extraction for Atrial Fibrillation Detection in Wearable Sensors
  • Real-Time Range Query Approximation by Means of Adaptive Quad Streaming
  • System based Code Evaluation Criteria for CDM Applications in Sensor and Data Transmission Systems
  • Mirror Mosaicking: A Novel Approach to Achieve High-performance Classification of Gases Leveraging Convolutional Neural Network
  • Wireless Sensor Network for in situ Soil Moisture Monitoring
  • Efficient Flash Indexing for Time Series Data on Memory-constrained Embedded Sensor Devices
  • On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers
  • PAIoT Network: A Unique Regional IoT Network for Very Different Applications
  • Linoc: A Prototyping Platform for Capacitive and Passive Electrical Field Sensing
  • System for Supporting Implementation and Monitoring of Smart Campus Applications based on IoT Protocols
  • Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems
  • A Modified MPRR Protocol for WSN in Agricultural Scenario
  • Advances in Sensing Technologies for Smart Monitoring in Precise Agriculture
  • Smart Farming in sub-Saharan Africa: Challenges and Opportunities
  • Optimal Sensor Placement for Human Activity Recognition with a Minimal Smartphone–IMU Setup
  • Practical Precision Agriculture with LoRa based Wireless Sensor Networks
  • Air Quality Monitoring and Alerting System to Help in Reducing Asthma Attack in Asthmatic Children
  • Effect of the Materials’ Properties in the Design of High Transmittance and Low FWHM SiO2/TiO2 Thin Film Optical Filters for Integration in a Malaria Diagnostics Device
  • Fish Gelatin-based Films for Gas Sensing
  • Hydrothermally Fluorinated Graphene Oxide Chemiresistive Sensor for Detecting NH3 and Acetone under Atmospheric Conditions
  • Integrated 3D-Capacitors for Implantable Bradycardia Pacemakers: Dielectric Integrity and Local Electrical Characterizations using AFM
  • Gait Phases Detection in Elderly using Trunk-MIMU System
  • A Thermochromic Ink Heater-cooler Color Change System for Medical Blood Simulation
  • Electrochemical Impedance Simulation for Single Cell Analysis using a Microelectrode
  • Development of a Miniaturized Motion Sensor for Tracking Warning Signs of Low-back Pain
  • A Low Cost IoT Enabled Device for the Monitoring, Recording and Communication of Physiological Signals
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  • Scalable Imaging Device using Line Scan Camera for Use in Biometric Recognition and Medical Imaging
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  • Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text
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  • Establishing the State of Practice about Data Standards in Monitoring Healthcare Interventions for HIV in Uganda’s EMR-based Health Information Systems
  • Epidemiological and Prognostic Factors Related to COVID-19 in Primary Care in a Municipality in Southern Brazil
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  • Toward a Compare and Contrast Framework for COVID-19 Contact Tracing Mobile Applications: A Look at Usability
  • Efficacy of Augmented Reality-based Virtual Hiking in Cardiorespiratory Endurance: A Pilot Study
  • SeVA: An AI Solution for Age Friendly Care of Hospitalized Older Adults
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  • A near Complete Adoption of Electronic Health Records System in the U.S. Lacks Interoperability and Physician Satisfaction
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  • Deep Learning Assisted Retinopathy of Prematurity Screening Technique
  • bwHealthApp: A Software System to Support Personalized Medicine by Individual Monitoring of Vital Parameters of Outpatients
  • The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse
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  • On Open Workflows for Processing of Standardized Electroencephalography Data
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  • Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications
  • Digital Inclusion of Nursing Home Residents: A Usability Evaluation of the Digital Kiosk siosLIFEâ„¢
  • Supporting Childbirth Knowledge Acquisition and Decision-making through Digital Communication Technology: The Research Design of an Ongoing Study following a Mixed-Method Approach
  • Exploring Media Portrayals of People with Mental Disorders using NLP
  • In Search of a Conversational User Interface for Personal Health Assistance
  • Towards Semantic Integration for Explainable Artificial Intelligence in the Biomedical Domain
  • Towards Customized Medicine with Open-source Applications in Developing Countries: Foot Drop and Transtibial Prosthesis
  • Exploring Fractal Dimension Analysis as a Technique to Study the Role of Intensity of Facial Expression and Viewing Angle
  • Personality Traits Assessment using P.A.D. Emotional Space in Human-robot Interaction
  • Combining Gesture and Voice Control for Mid-air Manipulation of CAD Models in VR Environments
  • The Effect of Multimodal Virtual Reality Experience on the Emotional Responses Related to Injections
  • IDEA: Index of Difficulty for Eye Tracking Applications - An Analysis Model for Target Selection Tasks
  • A Multimodal Workflow for Modeling Personality and Emotions to Enable User Profiling and Personalisation
  • Sensory Extension of a Tangible Object for Physical User Interactions in Augmented Reality
  • Psychophysiological Modelling of Trust in Technology: Comparative Analysis of Psychophysiological Signals
  • Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains
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  • Voice Interaction for Accessible Immersive Video Players
  • Evaluating the Meeting Solutions Used for Virtual Classes in Higher Education during the COVID-19 Pandemic
  • Influences of Instructions about Operations on the Evaluation of the Driver Take-Over Task in Cockpits of Highly-Automated Vehicles
  • Knock Brush! Perceived Impact of Push-based Notifications on Software Developers at Home and at the Office
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  • Effects of Emotion-induction Words on Memory of Viewing Visual Stimuli with Audio Guide
  • Classifying Excavator Collisions based on Users’ Visual Perception in the Mixed Reality Environment
  • A Layered Software City for Dependency Visualization
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  • Efficient Multi-stream Temporal Learning and Post-fusion Strategy for 3D Skeleton-based Hand Activity Recognition
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  • Using Geometric Graph Matching in Image Registration
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  • Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation
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  • Inspection of Industrial Coatings based on Multispectral BTF
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  • Unsupervised Segmentation of Leukocytes Images using Particle Swarm
  • Non-linear Distortion Recognition in UAVs’ Images using Deep Learning
  • CAR-DCGAN: A Deep Convolutional Generative Adversarial Network for Compression Artifact Removal in Video Surveillance Systems
  • Asset Detection in Railroad Environments using Deep Learning-based Scanline Analysis
  • Data-set for Event-based Optical Flow Evaluation in Robotics Applications
  • Grocery Recognition in the Wild: A New Mining Strategy for Metric Learning
  • Segmentation of Agricultural Images using Vegetation Indices
  • Single Image Super-resolution using Vectorization and Texture Synthesis
  • Cell Image Segmentation by Feature Random Enhancement Module
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  • Embedding Anatomical Characteristics in 3D Models of Lower-limb Sockets through Statistical Shape Modelling
  • Embedded Features for 1D CNN-based Action Recognition on Depth Maps
  • 3D Fetal Face Reconstruction from Ultrasound Imaging
  • Quantification of Uncertainty in Brain Tumor Segmentation using Generative Network and Bayesian Active Learning
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  • 3D Reconstruction of Deformable Objects from RGB-D Cameras: An Omnidirectional Inward-facing Multi-camera System
  • Enhanced CycleGAN Dehazing Network
  • OFFSED: Off-Road Semantic Segmentation Dataset
  • Processing Attribute Profiles as Scale-series for Remote Sensing Image Classification
  • Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification
  • A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal
  • Facial Exposure Quality Estimation for Aesthetic Evaluation
  • Approaching the Semantic Segmentation in Medical Problems: A Solution for Pneumothorax Detection
  • Lightweight SSD: Real-time Lightweight Single Shot Detector for Mobile Devices
  • Reduction in Communication via Image Selection for Homomorphic Encryption-based Privacy-protected Person Re-identification
  • Crowd Behavior Analysis based on Convolutional Neural Network: Social Distancing Control COVID-19
  • On the Transferability of Winning Tickets in Non-natural Image Datasets
  • A Lightweight Real-time Stereo Depth Estimation Network with Dynamic Upsampling Modules
  • Online Point Cloud Object Recognition System using Local Descriptors for Real-time Applications
  • ChartSight: An Automated Scheme for Assisting Visually Impaired in Understanding Scientific Charts
  • Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection
  • Tropical Skin Disease Classification using Connected Attribute Filters
  • Are Image Patches Beneficial for Initializing Convolutional Neural Network Models?
  • Object based Hybrid Video Compression
  • Sewer Defect Classification using Synthetic Point Clouds
  • Multi-view Planarity Constraints for Skyline Estimation from UAV Images in City Scale Urban Environments
  • Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
  • Boosting Self-localization with Graph Convolutional Neural Networks
  • Long-term Behaviour Recognition in Videos with Actor-focused Region Attention
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  • Learning Joint Twist Rotation for 3D Human Pose Estimation from a Single Image
  • Multimodal Neural Network for Sentiment Analysis in Embedded Systems
  • Learning to Correct Reconstructions from Multiple Views
  • Integration of Multiple RGB-D Data of a Deformed Clothing Item into Its Canonical Shape
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  • Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance
  • Fiducial Points-supported Object Pose Tracking on RGB Images via Particle Filtering with Heuristic Optimization
  • CUPR: Contrastive Unsupervised Learning for Person Re-identification
  • Non-Maximum Suppression for Unknown Class Objects using Image Similarity
  • Road Lane Detection and Classification in Urban and Suburban Areas based on CNNs
  • Latent Video Transformer
  • Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images
  • Visual-based Global Localization from Ceiling Images using Convolutional Neural Networks
  • Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System
  • A Human Ear Reconstruction Autoencoder
  • Collaborative Learning of Generative Adversarial Networks
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  • Occluded Iris Recognition using SURF Features
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  • Few-shot Linguistic Grounding of Visual Attributes and Relations using Gaussian Kernels
  • Detecting Object Defects with Fusioning Convolutional Siamese Neural Networks
  • A Neural Network with Adversarial Loss for Light Field Synthesis from a Single Image
  • Modeling a priori Unknown Environments: Place Recognition with Optical Flow Fingerprints
  • Quantifying Wind Turbine Blade Surface Roughness using Sandpaper Grit Sizes: An Initial Exploration
  • Convolutional Neural Networks with Fixed Weights
  • Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling
  • Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset
  • GAPF: Curve Text Detection based on Generative Adversarial Networks and Pixel Fluctuations
  • On Power Jaccard Losses for Semantic Segmentation
  • 3D Object Detection with Normal-map on Point Clouds
  • Feature Sharing Cooperative Network for Semantic Segmentation
  • Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on “Fast and Slow” Thinking
  • Analysing Adversarial Examples for Deep Learning
  • U-Net based Zero-hour Defect Inspection of Electronic Components and Semiconductors
  • SCAN: Sequence-character Aware Network for Text Recognition
  • Fairer Evaluation of Zero Shot Action Recognition in Videos
  • Procam Calibration from a Single Pose of a Planar Target
  • Embedding Human Knowledge into Deep Neural Network via Attention Map
  • A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment
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  • Towards Combined Open Set Recognition and Out-of-Distribution Detection for Fine-grained Classification
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  • Object Hypotheses as Points for Efficient Multi-Object Tracking
  • Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos
  • Performance Benchmarking of YOLO Architectures for Vehicle License Plate Detection from Real-time Videos Captured by a Mobile Robot
  • Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images
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  • A Random Walker Can Optimize the Exploration without the Large Capacity Memory
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  • Are Conversational Agents Used at Scale by Companies Offering Digital Health Services for the Management and Prevention of Diabetes?
  • To What Scale Are Conversational Agents Used by Top-funded Companies Offering Digital Mental Health Services for Depression?
  • Proposed Use of a Conversational Agent for Patient Empowerment
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  • Threats and Opportunities for the Clinical Investigation of High-risk Medical Devices in the Context of the New European Regulations
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  • Exloration of High Risk Medical Devices Methodologies for Optimized Evaluations
  • Development of a Method for Identifying the Functional State of a Person When Solving Cognitive Tasks According to the Data of the Brain Microwave Radiation
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  • Functional Connectivity Assessment in Patients with Chronic-type Tension Headaches after Applying Osteopathic Correction
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  • PRAQA: Protein Relative Abundance Quantification Algorithm for 3D Fluorescent Images
  • Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation
  • Smartphone-based Approach for Automatic Focus Assessment in NIR Fundus Images Targeted at Handheld Devices
  • LigityScore: Convolutional Neural Network for Binding-affinity Predictions
  • Possibilities of using Neural Networks to Blood Flow Modelling
  • Anomalies Detection in Gene Expression Matrices: Towards a New Approach
  • Machine Learning Studies of Non-coding RNAs based on Artificially Constructed Training Data
  • Applying PySCMGroup to Breast Cancer Biomarkers Discovery
  • Tragus based Vagus Nerve Stimulation for Stress Reduction
  • Elliptical Fitting as an Alternative Approach to Complex Nonlinear Least Squares Regression for Modeling Electrochemical Impedance Spectroscopy
  • Self-Similarity Matrix of Morphological Features for Motion Data Analysis in Manufacturing Scenarios
  • Eppur si muove: Formant Dynamics is Relevant for The Study of Speech Aging Effects
  • Prototype Reduction on sEMG Data for Instance-based Gesture Learning towards Real-time Prosthetic Control
  • FRADE: Pervasive Platform for Fall Risk Assessment, Prevention and Fall Detection
  • Inertial-based Gait Analysis Applied to Patients with Parkinson Disease
  • Convolution-based Soma Counting Algorithm for Confocal Microscopy Image Stacks
  • An Embedded Polygon Strategy for Quality Improvement of 2D Quadrilateral Meshes with Boundaries
  • Mesh Animation Compression using Skinning and Multi-chart Displacement Texture
  • Scenario-based VR Application for Collaborative Design
  • Building Information Monitoring via Gamification
  • Using EEG and Gamified Neurofeedback Environments to Improve eSports Performance: Project Neuroprotrainer
  • A Multi-role, Multi-user, Multi-technology Virtual Reality-based Road Tunnel Fire Simulator for Training Purposes
  • A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
  • Integrating a Head-mounted Display with a Mobile Device for Real-time Augmented Reality Purposes
  • Assessing Postures and Mechanical Loads during Patient Transfers
  • Exploiting Food Embeddings for Ingredient Substitution
  • Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer’s Disease Classification
  • Automated Mobile Image Acquisition of Macroscopic Dermatological Lesions
  • Automated Model for Tracking COVID-19 Infected Cases till Final Diagnosis
  • A Knowledge-based Clinical Decision Support System for Headache Disorders Management
  • A Sparse Representation Classification for Noise Robust Wrist-based Fall Detection
  • Custom FHIR Resources Definition of Detailed Radiation Information for Dose Management Systems
  • Enhancing Cross-lingual Semantic Annotations using Deep Network Sentence Embeddings
  • Automated Medical Reporting: From Multimodal Inputs to Medical Reports through Knowledge Graphs
  • COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
  • Automatic Brain White Matter Hypertinsities Segmentation using Deep Learning Techniques
  • Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
  • A Survey of Survival Analysis Techniques
  • A Survey of Possibilities and Challenges with AR/VR/MR and Gamification Usage in Healthcare
  • Multi-resistant Bacterial Infection Surveillance using a Graph Database with Spatio-temporal Information
  • Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines
  • Generating Localized Haptic Feedback over a Spherical Surface
  • UX Design and Evaluation of Warning Alerts for Semi-autonomous Cars with Elderly Drivers
  • Heuristic Evaluation Checklist for Domain-specific Languages
  • User-centred Development of a Clinical Decision-support System for Breast Cancer Diagnosis and Reporting based on Stroke Gestures
  • Eliciting User-defined Zenithal Gestures for Privacy Preferences
  • Virtual Reality for Pilot Training: Study of Cardiac Activity
  • Estimation of Chronic Stress by Measuring Sympathetic Sedation Time
  • On the Double Interpretation of the Description of the “Consistency and Standards” Heuristic in the Heuristic Evaluation Method
  • Self Representation and Interaction in Immersive Virtual Reality
  • Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling
  • On Order-preserving, Gap-avoiding Rectangle Packing
  • Annotations in Different Steps of Visual Analytics
  • On Glyph Design for Wind Information in En-Route Air Traffic Control
  • Cloud Cost City: A Visualization of Cloud Costs using the City Metaphor
  • ImmVis: Bridging Data Analytics and Immersive Visualisation
  • Geovisto: A Toolkit for Generic Geospatial Data Visualization
  • A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks
  • Towards Visual Sociolinguistic Network Analysis
  • Word-sized Visualizations for Exploring Discussion Diversity in Social Media
  • Cybersecurity for SMEs: Introducing the Human Element into Socio-technical Cybersecurity Risk Assessment
  • Nanosphere Photolithography: The Influence of Nanopore Arrays Disorder on Extraordinary Optical Transmission
  • Fast Bridgeless Pyramid Segmentation for Organized Point Clouds
  • RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments
  • Focus-and-Context Skeleton-based Image Simplification using Saliency Maps
  • PIU-Net: Generation of Virtual Panoramic Views from Colored Point Clouds
  • A Lightweight Secure Image Super Resolution using Network Coding
  • Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism
  • Early Defect Detection in Conveyor Belts using Machine Vision
  • New Challenges of Face Detection in Paintings based on Deep Learning
  • A New Generic Progressive Approach based on Spectral Difference for Single-sensor Multispectral Imaging System
  • A Summarized Semantic Structure to Represent Manipulation Actions
  • An Effective 3D ResNet Architecture for Stereo Image Retrieval
  • Upsampling Attention Network for Single Image Super-resolution
  • An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments: A Concept Overview
  • As Plain as the Nose on Your Face?
  • Video Action Classification through Graph Convolutional Networks
  • Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection
  • An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild
  • AI-assisted Automated Pipeline for Length Estimation, Visual Assessment of the Digestive Tract and Counting of Shrimp in Aquaculture Production
  • Rapid Light Flash Localization in SWIR using Compressed Sensing
  • Clothing Parsing using Extended U-Net
  • Learning Unsupervised Cross-domain Image-to-Image Translation using a Shared Discriminator
  • Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification
  • Automatically Generating Websites from Hand-drawn Mockups
  • Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose
  • Weakly-supervised Human-object Interaction Detection
  • BirdSLAM: Monocular Multibody SLAM in Bird’s-eye View
  • No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes
  • Improving Car Model Classification through Vehicle Keypoint Localization
  • 3D Object Classification via Part Graphs
  • Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach
  • Detection of Distraction-related Actions on DMD: An Image and a Video-based Approach Comparison
  • Line2depth: Indoor Depth Estimation from Line Drawings
  • Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks
  • Automatic Annotation and Segmentation of Sign Language Videos: Base-level Features and Lexical Signs Classification
  • LAMV: Learning to Predict Where Spectators Look in Live Music Performances
  • Towards Real-time Object Recognition and Pose Estimation in Point Clouds
  • Multi-Task Architecture with Attention for Imaging Atmospheric Cherenkov Telescope Data Analysis
  • Automated Infant Monitoring based on R-CNN and HMM
  • Contextualise, Attend, Modulate and Tell: Visual Storytelling
  • Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts
  • Segment My Object: A Pipeline to Extract Segmented Objects in Images based on Labels or Bounding Boxes
  • A Study on the Influence of Omnidirectional Distortion on CNN-based Stereo Vision
  • Unsupervised Domain Adaptation for 6DOF Indoor Localization
  • Temporal Bilinear Encoding Network of Audio-visual Features at Low Sampling Rates
  • Normalized Convolution Upsampling for Refined Optical Flow Estimation
  • Real-time Monocular 6DoF Tracking of Textureless Objects using Photometrically-enhanced Edges
  • Deep Emotion Recognition through Upper Body Movements and Facial Expression
  • Dual CNN-based Face Tracking Algorithm for an Automated Infant Monitoring System
  • Logical Duality in Reactions of Amoeba Proteus
  • Categorical Approach to Swarm Computations
  • Psychological Perspectives and Challenges towards Information Technology and Digital Health Interventions
  • Automatic Classification of Sleep Apnea Type and Severity using EEG Signals
  • A Deep Learning Method to Impute Missing Values and Compress Genome-wide Polymorphism Data in Rice
  • Machine Learning Algorithms for Predicting Chronic Obstructive Pulmonary Disease from Gene Expression Data with Class Imbalance
  • I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications
  • Online Decision Support Tool that Explains Temporal Prediction of Activities of Daily Living (ADL)
  • A Lightweight Microservice-oriented Platform for Development of Intelligent Agent-based Enterprise Applications
  • Explaining Inaccurate Predictions of Models through k-Nearest Neighbors
  • Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification
  • Multimodal Sentiment Analysis on Video Streams using Lightweight Deep Neural Networks
  • SIMDGiraffe: Visualizing SIMD Functions
  • Reusing (Safety-oriented) Compliance Artifacts while Recertifying
  • Domain Adaptation for Traffic Density Estimation
  • Formal Validation for Natural Language Programming using Hierarchical Finite State Automata
  • Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity
  • Experiences and Recommendations from Operating a Tor Exit Node at a University
  • Who Stores the Private Key? An Exploratory Study about User Preferences of Key Management for Blockchain-based Applications
  • Automatically Extracting Business Level Access Control Requirements from BPMN Models to Align RBAC Policies
  • Protecting Privacy during a Pandemic Outbreak
  • Enhanced Information Management in Inter-organisational Planning for Critical Infrastructure Protection: Case and Framework
  • A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19
  • Model-based Threat and Risk Assessment for Systems Design
  • Towards Collaborative Cyber Threat Intelligence for Security Management
  • A Secure Network Scanner Architecture for Asset Management in Strongly Segmented ICS Networks
  • Canopy: A Learning-based Approach for Automatic Low-and-Slow DDoS Mitigation
  • On Security Analysis of Periodic Systems: Expressiveness and Complexity
  • Predicting Security Program Effectiveness in Bring-Your-Own-Device Deployment in Organizations
  • Automatic Detection of Cyber Security Events from Turkish Twitter Stream and Newspaper Data
  • Active Directory Kerberoasting Attack: Detection using Machine Learning Techniques
  • Field Studies on the Impact of Cryptographic Signatures and Encryption on Phishing Emails
  • Improvement of Secure Multi-Party Multiplication of (k, n) Threshold Secret Sharing Using Only N = k Servers
  • Towards a Formalisation of Expert’s Knowledge for an Automatic Construction of a Vulnerability Model of a Cyberphysical System
  • A Novel Simplified Framework to Secure IoT Communications
  • Linking Biometric Voice Identity with Self-monitoring Health Data as a Temporal-spatial Event Stored in a Mobile Device
  • DLP-Visor: A Hypervisor-based Data Leakage Prevention System
  • An Analytic Attack against ARX Addition Exploiting Standard Side-channel Leakage
  • Bridging Knowledge Gaps in Security Analytics
  • Continuous Authentication based on Hand Micro-movement during Smartphone Form Filling by Seated Human Subjects
  • Blockchain based Secured Virtual Machine Image Monitor
  • The Comparison of Word Embedding Techniques in RNNs for Vulnerability Detection
  • The Proposal of Double Agent Architecture using Actor-critic Algorithm for Penetration Testing
  • Two Stage Anomaly Detection for Network Intrusion Detection
  • Ontology-based Cybersecurity and Resilience Framework
  • A Permissioned Blockchain-based System for Collaborative Drug Discovery
  • Windows Malware Binaries in C/C++ GitHub Repositories: Prevalence and Lessons Learned
  • Optimizing Leak Detection in Open-source Platforms with Machine Learning Techniques
  • Implementation of Secondary Available Digital Content Protection Schemes using Identity-based Signatures
  • Towards an Ontology for Enterprise Level Information Security Policy Analysis
  • Adversarial Machine Learning: A Comparative Study on Contemporary Intrusion Detection Datasets
  • Profiling and Discriminating of Containerized ML Applications in Digital Data Marketplaces (DDM)
  • Automatic Detection and Decryption of AES by Monitoring S-Box Access
  • Parallel Privacy-preserving Computation of Minimum Spanning Trees
  • Representation of PE Files using LSTM Networks
  • Understanding How People Weigh the Costs and Benefits of using Facebook
  • Hydra: Practical Metadata Security for Contact Discovery, Messaging, and Dialing
  • Sociocultural Influences for Password Definition: An AI-based Study
  • Efficient Semantic Representation of Network Access Control Configuration for Ontology-based Security Analysis
  • A Lemon by Any Other Label
  • Implementing Secure Applications Thanks to an Integrated Secure Element
  • Automated Black Box Detection of HTTP GET Request-based Access Control Vulnerabilities in Web Applications
  • An Asynchronous Federated Learning Approach for a Security Source Code Scanner
  • HyperPass: Secure Password Input Platform
  • A State Saturation Attack against Massively Multiplayer Online Videogames
  • Securing the Linux Boot Process: From Start to Finish
  • Leveraging Dynamic Information for Identity and Access Management: An Extension of Current Enterprise IAM Architecture
  • Dreaming of Keys: Introducing the Phantom Gradient Attack
  • Towards Exploring User Perception of a Privacy Sensitive Information Detection Tool
  • CyExec*: Automatic Generation of Randomized Cyber Range Scenarios
  • Evaluation of Vulnerability Reproducibility in Container-based Cyber Range
  • Improving Classification of Malware Families using Learning a Distance Metric
  • A Dynamic Access Control System based on Situations of Users
  • From Exposed to Exploited: Drawing the Picture of Industrial Control Systems Security Status in the Internet Age
  • MADLIRA: A Tool for Android Malware Detection
  • Securing Orchestrated Containers with BSI Module SYS.1.6
  • Towards Academic and Skills Credentialing Standards and Distributed Ledger Technologies
  • Privacy Preserving Services for Intelligent Transportation Systems with Homomorphic Encryption
  • A Protection against the Extraction of Neural Network Models
  • Security Property Modeling
  • Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach
  • Release-aware In-out Encryption Adjustment in MongoDB Query Processing
  • Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution
  • Accessible Cyber Security: The Next Frontier?
  • Colluding Covert Channel for Malicious Information Exfiltration in Android Environment
  • Unconventional Attack against Voting Machines Enlarging the Scope of Cybersecurity Risk Analysis
  • Experimental Evaluation of Description Logic Concept Learning Algorithms for Static Malware Detection
  • Towards Formal Security Verification of Over-the-Air Update Protocol: Requirements, Survey and UpKit Case Study
  • Utilizing Keystroke Dynamics as Additional Security Measure to Protect Account Recovery Mechanism
  • Remote WebAuthn: FIDO2 Authentication for Less Accessible Devices
  • Study of Intra- and Inter-user Variance in Password Keystroke Dynamics
  • Enabling Monetization of Depreciating Data on Blockchains
  • How to Improve the GDPR Compliance through Consent Management and Access Control
  • Detecting Cyber Security Attacks against a Microservices Application using Distributed Tracing
  • An Overview of Cryptographic Accumulators
  • Malware Classification with Word Embedding Features
  • Malware Classification using Long Short-term Memory Models
  • Malware Classification with GMM-HMM Models
  • A New Dataset for Smartphone Gesture-based Authentication
  • On Formalising and Analysing the Tweetchain Protocol
  • Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score
  • Robustness-driven Exploration with Probabilistic Metric Temporal Logic
  • Mobile Robots: An Overview of Data and Security
  • The Impact of Information Geometry on the Analysis of the Stable M/G/1 Queue Manifold
  • Unipolar Amplifier Enabling Measurement of Far-field Intra-cardiac Electromyogram for Blood Pump Control
  • Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum
  • A Dynamic Dial-a-ride Model for Optimal Vehicle Routing in a Wafer Fab
  • Classification of Normal versus Leukemic Cells with Data Augmentation and Convolutional Neural Networks
  • Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques
  • Behavioral Predictive Analytics towards Personalization for Self-management
  • Stopping DNS Rebinding Attacks in the Browser
  • Flexcoder: Practical Program Synthesis with Flexible Input Lengths and Expressive Lambda Functions
  • With a Little Help from My Conversational Agent: Towards a Voice Assistant for Improved Patient Compliance and Medication Therapy Safety
  • Classification of Visual Interest based on Gaze and Facial Features for Human-robot Interaction
  • Challenges in Developing Software for the Swedish Healthcare Sector
  • A Surface and Appearance-based Next Best View System for Active Object Recognition
  • Checking Contact Tracing App Implementations
  • LISSU: Integrating Semantic Web Concepts into SOA Frameworks
  • An Artificial Neural Network-based Real Time DSS to Manage the Discharges of a Wastewater Treatment Plant and Reduce the Flooding Risk
  • Thermal Model of a House using Electric Circuits Analogy
  • Synchronised Power Scheduling of Widely Distributed Refrigerators using IoT
  • Design of an Urban Monitoring System for Air Quality in Smart Cities
  • A Multi-Scale, Web-based Application for Strategic Assessment of PV Potentials in City Quarters
  • Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities
  • Toward Sustainable Energy Communities
  • Hybrid Energy Production Analysis and Modelling for Radio Access Network Supply
  • Energy Saving Potential in Building Envelopes through Energy Conservation Building Code and Design Alternatives in Warm and Humid Climate
  • The Study of Transition to the Isolated Operation of Power Supply Systems with Distributed Generation Plants and High Power Energy Storage Units
  • Assessment of Building Integrated Photovoltaic Panels on Facades of Commercial Buildings with Respect to Energy Conservation Building Code
  • Designing Green Infrastructure Guidelines: A Methodological Approach
  • Role of Citizens in the Development of Smart Cities: Benefit of Citizen’s Feedback for Improving Quality of Service
  • GREECOPE: Green Computing with Piezoelectric Effect
  • Detection and Prevention of Denial-of-Service in Cloud-based Smart Grid
  • Edge Intelligence with Deep Learning in Greenhouse Management
  • Energy Efficiency of Low Voltage Direct Current Supplies Including PV Sources
  • Design of a Very Low Frequency Test Device for Faults Diagnosis in Underground Cable
  • Model-based Systems Design for Green IoT Systems
  • Energy Optimal Control of a Multivalent Building Energy System using Machine Learning
  • A Comparative Analysis of Smart Cities Frameworks based on Data Lifecycle Requirements
  • Hazard Analysis for Decentralized Charging Management of Electric Vehicles
  • Application of Pretopological Hierarchical Clustering for Buildings Portfolio
  • Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving
  • Biometric Authentication System based on Hand Geometry and Palmprint Features
  • Fast Human Activity Recognition
  • Benefits of Layered Software Architecture in Machine Learning Applications
  • Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection based on Reconstructability of Colors
  • Defamation 2.0: New Threats in Digital Media Era - An Overview on Forensics Approaches in the Social Network Ecosystem
  • Integration of Image Processing Techniques into the Unity Game Engine
  • Understanding the Impact of Image Quality in Face Processing Algorithms
  • Image Copy-Move Forgery Detection using Color Features and Hierarchical Feature Point Matching
  • Gaussian Blur through Parallel Computing
  • Gesture Recognition for UAV-based Rescue Operation based on Deep Learning
  • Condition Monitoring for Air Filters in HVAC Systems with Variable Volume Flow
  • Building Indoor Point Cloud Datasets with Object Annotation for Public Safety
  • An Automated Clustering Process for Helping Practitioners to Identify Similar EV Charging Patterns across Multiple Temporal Granularities
  • Complexity Measures for the Analysis of SDG Interlinkages: A Methodological Approach
  • ECGraph: A Complex Networks Tool to Classify Critical Points of Ecological Corridors
  • Structural Similarities of Emotion-exchange Networks: Evidence from 18 Crisis Events
  • Integrating Distributed Tracing into the Narayana Transaction Manager
  • Co-simulation of Smart Grids: Dynamically Changing Topologies in Failure Scenarios
  • Complex Skills Development through Digital Qualification Assessment: Survey Study for European and Oriental Languages Programs
  • Artificial Neural Networks Jamming on the Beat
  • Distributed Strategies and Managements based on State Constraint Logic with Predicate for Communication
  • Entropy Map Might Be Chaotic
  • Social Complex Systems as Multiscale Phenomena: From the Genome to Animal Societies
  • Complex Framework of Digital Learning Quality Assessment in Covid-19 Context: Survey Study for European and Oriental Languages Programs
  • Food Recommendation in a Worksite Canteen
  • Automated Assessment with Multiple-choice Questions using Weighted Answers
  • Relative Strengths of Teachers and Smart Machines: Towards an Augmented Task Sharing
  • Mining Students’ Comments to Build an Automated Feedback System
  • The Motivation and Reasons behind Taking Distance-based Taekwondo Martial Arts Lessons: Social Cognitive Career Perspectives from Parents
  • LPO Proofs in Two Educational Contexts
  • On the Efficacy of Online Proctoring using Proctorio
  • Source Code based Approaches to Automate Marking in Programming Assignments
  • Combining Agile and DevOps to Improve Students’ Tech and Non-tech Skills
  • Raising Awareness of Students’ Self-Directed Learning Readiness (SDLR)
  • A Neural Network Modelling and Prediction of Students’ Progression in Learning: A Hybrid Pedagogic Method
  • Co-creational Education: A Project-based Flipped Classroom Workshop Series for Online Education using Drone Building to Teach Engineering Subjects
  • Developing Evaluation Metrics for Active Reading Support
  • Benefits of an Audience Response System based on Polls with Mobile Phones in Engineering Education
  • Are We Ready for Problem-based Learning? A Proposal of Institutional Diagnosis in Computing Higher Education
  • Experimental Platform for Obtaining Electrical Resistance of a Shape Memory Alloy Actuator
  • A Moodle-centric Model and Authoring Tool for cMOOC-Type Courses
  • Investigating Initiatives to Promote the Advancement of Education 4.0: A Systematic Mapping Study
  • Associations of Student Characteristics and Course Organization Factors with Dropping out of University Distance and Online Learning
  • Artificial Intelligence in Architecture: An Educational Perspective
  • Kodockly: Using a Tangible Robotic Kit for Teaching Programming
  • Towards a Framework to Scaffold Problem-solving Skills in Learning Computer Programming
  • Conversational Interfaces in Serious Games: Identifying Potentials and Future Research Directions based on a Systematic Literature Review
  • ‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?
  • Say No to Free Riding: Student Perspective on Mechanisms to Reduce Social Loafing in Group Projects
  • A Conceptual Framework for Extending Domain Model of AI-enabled Adaptive Learning with Sub-skills Modelling
  • A Digital Application to Assist Basic Education Teachers in the Interdisciplinary Development of Computational Thinking Skills on the Math Discipline in Brazilian Learning Context
  • A Framework for an Open Education Supply Chain Network
  • Student Perception of Usability: A Metric for Evaluating the Benefit When Adapting e-Learning to the Needs of Students with Dyslexia
  • AI Planning for Unique Learning Experiences: The Time Travel Exploratory Games Approach
  • Analyzing the Impact of e-Caducée, a Serious Game in Pharmacy on Students’ Professional Skills over Multiple Years
  • Collaborative Coding in a Robotic Visual Language
  • Quality Assessment of Learners’ Programs by Grouping Source Code Metrics
  • Guided Inquiry Learning with Technology: Investigations to Support Social Constructivism
  • Preference for Multiple Choice and Constructed Response Exams for Engineering Students with and without Learning Difficulties
  • Acceptance of Distance Learning during the COVID-19 Movement Restrictions: Does the Year of Studies Matter?
  • Framing Early Alert of Struggling Students as an Anomaly Detection Problem: An Exploration
  • Online Peer Teaching in Medical School during a Pandemic Period: A Reflection
  • Satoyama Forest Management Learning Game for SDGs Education: Comparing the Effect of Providing Additional Information in the First Half and Latter Half of the Game
  • Analyzing Interactions in Automatic Formative Assessment Activities for Mathematics in Digital Learning Environments
  • Can Formative Assessment Practices Appear Spontaneously during Long Distance Learning?
  • A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
  • Enhancing Computational Thinking Skills using Robots and Digital Storytelling
  • Manipulatives for Teaching Introductory Programming to Struggling Students: A Case of Nested-decisions
  • Objective Evaluation Method of Reading Captioning using HMD for Deaf and Hard-of-Hearing
  • Examination Cheat Risk Reduction through FIPEs
  • Typesetting DSL Teaching Method based on the Paradigm WYSWYM
  • Despandemia: Serious Game in Alternate Reality for Reading and Rewriting Our Intercultural World during the Covid-19 Pandemic
  • Post-COVID-19 Education: A Case of Technology Driven Change?
  • A Review of Empirical Studies of Effectiveness of Mobile Apps on EFL Vocabulary Learning
  • A Review on the Role of Leadership in Online Learning Environment among Students
  • Technology Adoption for Brazilian Socioemotional Initiatives at School
  • Design and Practice of ESD in High School in Japan through Online Video Co-creation Workshop
  • A Decision Game for Informal Learning
  • Probatio: A Recommendation System to Assist Educators in Assignment Preparation
  • Effectiveness of Gamification in Undergraduate Education
  • Formative Assessment in LDL: A Teacher-training Experiment
  • Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games
  • Design of a Social Media Simulator as a Serious Game for a Media Literacy Course in Japan
  • A Systematic Mapping of Serious Games for Oral Health
  • Training School Activities to Promote a Conscious Use of Social Media and Human Development According to the Ecological Systems Theory
  • Machine Learning Techniques for Knowledge Tracing: A Systematic Literature Review
  • Design and Validation of an Emerging Educational Technologies Acceptance and Integration Questionnaire for Teachers
  • Integration of Digital Competences into a Teacher Education Program: A Sensitive Approach
  • A Proposal so That Teachers Can Work with Techniques of Active Methodologies since the Approach of the Teaching Plan
  • Designing and Implementing a Dashboard with Key Performance Indicators for a Higher Education Institution
  • The Effect of Resistance to Change on Students' Acceptance in a Flipped Classroom Course
  • Academic Scholars Perception of Online Education Initiatives in Somalia
  • What We Learned from the Abrupt Switch to Online Teaching Due to the COVID-19 Pandemic in a Post-secondary Computer Science Program
  • Will I Continue Online Teaching? Language Teachers’ Experience during the COVID-19 Pandemic
  • Analysing Student Engagement in an Online Course in the Context of Hybrid Learning Environment: An Empirical Study
  • Experiments with Auto-generated Socratic Dialogue for Source Code Understanding
  • Towards Learning Analytics Metamodels in a Context of Publishing Chains
  • An Educational Digital Environment of Contemporary Aesthetics Focused on Slow Gaming
  • Spaced Learning Solution in the e-Learning Environment
  • A Virtual Environment Software to Position Corner Reflectors for Assisting in SAR Sensor Calibration
  • Computer Supported Collaborative Learning for Programming: A Systematic Review
  • Creative Writing Web Site 3.0 for 3rd Year General Education Students
  • Factors That Hinder in-Service Teachers from Incorporating Educational Robotics into Their Daily or Future Teaching Practice
  • Collaborative Tutoring System Adaptive for Tutor's Learning Styles based on Felder Silverman Model
  • Motivating Upper Secondary Students to Learn Mathematics with Working Life Exercises
  • A Review on Assistive Technologies for Students with Dyslexia
  • Moroccan Higher Education at the Time of Covid-19: Issues and Challenges: A Case Study among Master Students Business Administration at IGA Casablanca
  • Continuity of Academic Work through e-Learning during the COVID-19 Lockdown: The Case of Ghana
  • Education Support Structure for Teaching Multimodal Programming in the Cyber-physical Space
  • ADOPT: A Trace based Adaptive System
  • Scripted Step-based Visualizations: A Pilot Study
  • COEXA: A Questioning Model based on Inquiry-based Learning and Social Web
  • Clustering Techniques to Identify Low-engagement Student Levels
  • Modeling the e-Inclusion Prediction System
  • Supporting Educators to Design Collaborative Learning Scenarios
  • iTA: A Digital Teaching Assistant
  • Fast Gamification Approach: Increase of the Motivation in Remote Classes
  • Improved HyFlex Course Design Utilizing Live Online and On-demand Courses
  • Generating Relationship between Design Pattern and Source Code
  • Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics
  • A Minimal Snap Extension to Improve the Treatment of Integer Data: A Constructionist Approach
  • A Social Network Approach for Student’s School Performance Measurement
  • Gaming Culture: Teachers Perception in High Schools of Brazil
  • Automated Checking of Flexible Mathematical Reasoning in the Case of Systems of (In)Equations and the Absolute Value Operator
  • Technology Adoption for Statistics Teaching: An Approach to Enhance Learning Lessons Learned from Building an Investigative Environment
  • Investigating Undergraduate Brazilians Students’ Performance in STEM Courses
  • Computer Science and Engineering: Learning to Work in International and Multicultural Teams
  • A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education
  • On-line Meetings for Educating the Minds of Future Safety Engineers during the COVID Pandemic: An Experience Report
  • Toward a Meta-design Method for Learning Games
  • Students Expectations on Learning Analytics: Learning Platform Features Supporting Self-regulated Learning
  • Smart Home based on Internet of Things and Ethical Issues
  • Academic Network for Strengthening Accounting and Fiscal Research in Post-pandemic Times
  • Youth: Possible Segment of the Movement for Sustainability in Tourism
  • The Influence of Context on Value Proposition Co-creation of Online Shopping Platform in China
  • Morocco's Trade, between Free Trade Agreements and Integration into the African Union: Which Potential for Morocco's Foreign Trade?
  • The Transition from IAS 39 to IFRS 9 and Its Impact on Financial Performance: Case of a Moroccan Public Financial Institution
  • Population Mobility Patterns and Monitoring of COVID-19 Restriction Measures in Latvia
  • Does the Board of Commissioners Affect Tax Avoidance? Evidence from Banking Industry in Indonesia
  • The SMEs Innovation in Europe
  • FinTech and Commercial Banks' Performance in China: The Current Status and Lessons Learned from Our Data Analysis
  • Innovation as Argumentation in Closed and Technology-mediated Open Models
  • Relationship between Planned Behavior in Front of the Desire That Student Has to Enroll in the Public Accounting Programs on Distance-teaching Mode in Colombia
  • Using SAR Satellite Imagery for Potential Green Roof Retrofitting for Flood Mitigation in Urban Environment
  • Vertical Accuracy Assessment of ALOS PALSAR, GMTED2010, SRTM and Topodata Digital Elevation Models
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  • Performance Variability Analysis on Road Accident in Yangon
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  • Boost the Potential of EA: Essential Practices
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  • A Conceptual Reference Framework for Data-driven Supply Chain Collaboration
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  • An IT Infrastructure for Small- and Medium-sized Enterprises Willing to Compete in the Global Market
  • Future ERP Systems: A Research Agenda
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  • End-user Evaluation of a Mobile Application Prototype for Territorial Innovation
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  • Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study
  • Using Blockchain to Trace PDO/PGI/TSG Products
  • InfoMINDS: An Interdisciplinary Framework for Leveraging Data Science upon Big Data in Surface Mining Industry
  • Querying Brazilian Educational Open Data using a Hybrid NLP-based Approach
  • Database-Conscious End-to-End Testing for Reactive Systems using Containerization
  • Crowd-Innovation: Crowdsourcing Platforms for Innovation
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  • Driving Behavior Analysis and Traffic Improvement using Onboard Sensor Data and Geographic Information
  • Non-linear Motorcycle Dynamic Model for Stability and Handling Analysis with Roll Motion and Longitudinal Speed Regulation
  • Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
  • A Systematic Approach of Reduced Scenario-based Safety Analysis for Highly Automated Driving Function
  • Autonomous Braking and End to End Learning using Single Shot Detection Model and Convolutional Neural Network
  • Functional Safety and Electric Vehicle Charging: Requirements Analysis and Design for a Safe Charging Infrastructure System
  • Total Cost of Ownership for Automated and Electric Drive Vehicles
  • Health Monitoring of Automotive Suspension System using Machine Learning
  • An Empirical Study on Low-cost, Portable Vehicle’s Weight Estimation Solution using Smartphone’s Acceleration Data for Developing Countries
  • An Intelligent Transportation System for Air and Noise Pollution Management in Cities
  • Value Networks and Monetization Strategies for C-ITS Safety Use Cases
  • Time Series Segmentation for Driving Scenario Detection with Fully Convolutional Networks
  • Collective Perception: Impact on Fuel Consumption for Heavy Trucks
  • Turning Rate Estimation in Roundabouts: Analysis and Validation of Different Estimation Methods
  • The Forerunner UAV Concept for the Increased Safety of First Responders
  • User Experience and Analysis of an Autonomous Shuttle Service
  • A Cooperative Platooning Controller for Connected Vehicles
  • Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources
  • Analytical Approaches for Fast Computing of the Thermal Load of Vehicle Cables of Arbitrary Length for the Application in Intelligent Fuses
  • The Perception Modification Concept to Free the Path of An Automated Vehicle Remotely
  • PolarNet: Accelerated Deep Open Space Segmentation using Automotive Radar in Polar Domain
  • Car Drivers Do Not Choose Their Speed in Urban Environments: Speed Models in Tangent Streets
  • A Self-organising System Combining Self-adaptive Traffic Control and Urban Platooning: A Concept for Autonomous Driving
  • A Piecewise Linearization Algorithm for Solving MINLP in Intersection Management
  • Soft Fault Detection and Localization in an Unshielded Twisted Pair Network using Power Line Communication
  • Systems-theoretic Safety Assessment of Teleoperated Road Vehicles
  • Vegetation Detection in UAV Imagery for Railway Monitoring
  • What Does Visual Gaze Attend to during Driving?
  • Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories
  • Point Cloud based Hierarchical Deep Odometry Estimation
  • Traffic Congestion “Gap” Analysis in India
  • Study of Stability through Lyapunov Theory and Passivity following a FDI on a Velocity Control System
  • A Full-Featured, Enhanced Cost Function to Mitigate Motion Sickness in Semi- and Fully-autonomous Vehicles
  • Strategic Coordination of Cooperative Truck Overtaking Maneuvers
  • A Reinforcement Learning Approach for Traffic Control
  • Let It Crash! Energy Equivalent Speed Determination
  • A Practical Evaluation Method for Misbehavior Detection in the Presence of Selfish Attackers
  • Urban Traffic Incident Detection for Organic Traffic Control: A Density-based Clustering Approach
  • Ambulance Vehicle Routing under Pandemic with Fuzzy Cooperative Game via Smart Contracts
  • Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users
  • Evaluating Message Size of the Collective Perception Message in Real Live Settings
  • A Comparison of Lateral Intention Models for Interaction-aware Motion Prediction at Highways
  • Ride-hailing Emissions Modeling and Reduction through Ride Demand Prediction
  • Establishing End-to-End Secure Channel for IoT Devices through an Untrusted C-ITS Network
  • A Review on Charging Systems for Electric Vehicles in Smart Cities
  • Evaluation of Passenger Car Emission Indexes in Relation to Passing through the Rail-road Crossing
  • Generation of Road Reference Heading using GPS Trajectories for Accurate Lane Departure Detection
  • Accelerating Interference-based QoS Analysis of Vehicular Ad Hoc Networks for BSM Safety Applications: Parallel Numerical Solutions and Simulations
  • A Comprehensive View of Intelligent Transport Systems and Supply Chain Management for CIS Countries
  • Transit Performance Evaluation at Signalized Intersections of Bus Rapid Transit Corridors
  • Requirements for a Cybersecurity Case Approach for the Assurance of Future Connected and Automated Vehicles
  • Collection of Requirements and Model-based Approach for Scenario Description
  • Deep Learning Classifiers for Automated Driving: Quantifying the Trained DNN Model’s Vulnerability to Misclassification
  • Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives
  • Feature-based Analysis of the Energy Consumption of Battery Electric Vehicles
  • The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles
  • Wireless Power Transfer with Data Transfer Capability for Electric and Hybrid Vehicles: State of the Art and Future Trends
  • Explainable Federated Learning for Taxi Travel Time Prediction
  • A Dependency-based Combinatorial Approach for Reducing Effort for Scenario-based Safety Analysis of Autonomous Vehicles
  • Detection, Estimation & Tracking Road Objects for Assisting Driving
  • A Novel Approach of Environment Impact Assessment and Emission Measurement on the Inter-city Transportation in the Greater Bay Area (GBA) of China using a Modified Gravity Model
  • Multi-MNO Predictive-QoS for Vehicular Applications
  • Safety-configuration of Autonomous Bus in Pedestrian Zone
  • Towards a Natural Language Dialog System for Mobility Service Platforms
  • Estimation of the Acoustic Waste Energy Harvested from Diesel Single Cylinder Engine Exhaust System
  • Study of Parameter Influence of the Basic Cylinder of Rotary Screw Propulsion Units on Noise Level during Locomotion on Ice
  • Towards a Rule-based Approach for Estimating the Situation Difficulty in Driving Scenarios
  • Ensuring Reliability of Transfer Gearbox
  • Ensuring Reliability of the Gearbox during Operation Stage
  • Prospects to Development of Green Technologies for Alternative Motor Fuel’s Production
  • System Approach to Ensuring the Safety of Modern Vehicles
  • Monitoring of Transport Flow Emissions based on the Use of Convolutional Neural Networks
  • Unconstrained License Plate Detection in Hardware
  • Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization
  • Water Hazard Depth Estimation for Safe Navigation of Intelligent Vehicles
  • A Survey on Decentralized Cooperative Maneuver Coordination for Connected and Automated Vehicles
  • Detecting Message Modification Attacks on the CAN Bus with Temporal Convolutional Networks
  • A Survey of UAS Technologies to Enable Beyond Visual Line Of Sight (BVLOS) Operations
  • Effects on Traffic Performance Due to Heterogeneity of Automated Vehicles on Motorways: A Microscopic Simulation Study
  • Colorimetric Space Study: Application for Line Detection on Airport Areas
  • B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks
  • A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms
  • Pixel Invisibility: Detect Object Unseen in Color Domain
  • Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction
  • The Estimation of Traffic Flow Parameters based on Monitoring the Speed Values using Computer Vision