• Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines
• Allocation Considering Agent Importance in Constrained Robust Multi-Team Formation
• Multi Robot Surveillance and Planning in Limited Communication Environments
• An Interactive Environment to Support Agent-based Graph Programming
• Online Inference of Robot Navigation Parameters from a Semantic Map
• NC4OMAS: A Norms-based Approach for Open Multi-Agent Systems Controllability
• LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning
• Machine-learned Behaviour Models for a Distributed Behaviour Repository
• LIMP: Incremental Multi-agent Path Planning with LPA
• Reinforcement Learning-based Real-time Fair Online Resource Matching
• Narrative Economics of the Racetrack: An Agent-Based Model of Opinion Dynamics in In-play Betting on a Sports Betting Exchange
• Coordination Mechanisms with Misinformation
• Machine-checked Verification of Cognitive Agents
• An Inspection Technique Proposal for the Verification of Requirements Specification Documents for Multi-Agent Systems
• A Mechanism for Multi-unit Multi-item Commodity Allocation in Economic Networks
• Highways in Warehouse Multi-Agent Path Finding: A Case Study
• Supporting the Adaptation of Agents' Behavioral Models in Changing Situations by Presentation of Continuity of the Agent's Behavior Model
• Statistical Model Checking for Probabilistic Temporal Epistemic Logics
• Model Analysis of Human Group Behavior Strategy using Cooperative Agents
• Tackling Train Routing via Multi-agent Pathfinding and Constraint-based Scheduling
• Service Selection for Service-Oriented Architecture using Off-line Reinforcement Learning in Dynamic Environments
• On Combining Domain Modeling and Organizational Modeling for Developing Adaptive Cyber-Physical Systems
• SMT-based BMC for Dense Timed Interpreted Systems and EMTLK Properties
• Multi-objective Risk Analysis for Crowd Evacuation Guidance using Multiple Visual Signs
• An Agent-based Model Study on Subsidy Fraud in Technological Transition
• Task Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling
• Quantifying Multimodality in World Models
• Toward Crowdsourced Knowledge Graph Construction: Interleaving Collection and Verification of Triples
• Completion of User Preference based on CP-nets in Automated Negotiation
• Incorporating Communicative Patterns into Ebdi Agents
• Simulations of a Computational Model for a Virtual Medical Assistant
• Hints of Independence in a Pre-scripted World: On Controlled Usage of Open-domain Language Models for Chatbots in Highly Sensitive Domains
• Design of an Autonomous Distributed Multi-agent Mission Control System for a Swarm of Satellites
• Study on Applying Decentralized Evolutionary Algorithm to Asymmetric Multi-objective DCOPs with Fairness and Worst Case
• Multiagent Resource Planning System for Utility Provision
• A Machine Learning based Study on Classical Arabic Authorship Identification
• Examining n-grams and Multinomial Naïve Bayes Classifier for Identifying the Author of the Text “Epistle to the Hebrews”
• Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms
• Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet
• CrossSiam: k-Fold Cross Representation Learning
• Coordinated Collision-free Movement of Groups of Agents
• Requirements Engineering Challenges and Techniques in Building Chatbots
• “Robot Steganography”: Opportunities and Challenges
• Operationalizing Behavior Change Techniques in Conversational Agents
• How Does AI Play Football? An Analysis of RL and Real-world Football Strategies
• Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
• Risk-oriented Behavior Design for Traffic Simulation
• Agent-based Modeling for Dynamic Hitchhiking Simulation and Optimization
• Impact of Error-making Peer Agent Behaviours in a Multi-agent Shared Learning Interaction for Self-Regulated Learning
• Framework to Predict Energy Prices and Trades in the Wholesale Market of PowerTAC
• Speech Perception and Implementation in a Virtual Medical Assistant
• Negotiation in Ride-hailing between Cooperating BDI Agents
• Uniform Density in Linguistic Information Derived from Dependency Structures
• Transformers for Low-resource Neural Machine Translation
• DMS: A System for Delivering Dynamic Multitask NLP Tools
• Intelligent Human-input-based Blockchain Oracle (IHiBO)
• Comparison of Online Exploration and Coverage Algorithms in Continuous Space
• EEG Motor Imagery Classification using Fusion Convolutional Neural Network
• Skin Cancer Classification using Deep Learning Models
• Towards a Robust, Distributed and Decentralised Smart Energy Management of Microgrids
• Time Series Augmentation based on Beta-VAE to Improve Classification Performance
• Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users
• Bilinear Multi-Head Attention Graph Neural Network for Traffic Prediction
• Deceptive AI Explanations: Creation and Detection
• A Mediator Agent based on Multi-Context System and Information Retrieval
• Creativity of Deep Learning: Conceptualization and Assessment
• Unsupervised Learning of State Representation using Balanced View Spatial Deep InfoMax: Evaluation on Atari Games
• Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems
• Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation
• Safe Policy Improvement Approaches on Discrete Markov Decision Processes
• Clustering Quality of a High-dimensional Service Monitoring Time-series Dataset
• Learning Heuristic Estimates for Planning in Grid Domains by Cellular Simultaneous Recurrent Networks
• Post-hoc Global Explanation using Hypersphere Sets
• An Effective Method to Answer Multi-hop Questions by Single-hop QA System
• Enhanced Local Gradient Smoothing: Approaches to Attacked-region Identification and Defense
• GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning
• Aerial Fire Image Synthesis and Detection
• Improving Social Emotion Prediction with Reader Comments Integration
• Towards Circular and Asymmetric Cooperation in a Multi-player Graph-based Iterated Prisoner’s Dilemma
• Detecting Narcissist Dark Triad Psychological Traits from Twitter
• Post-hoc Diversity-aware Curation of Rankings
• Developing a Successful Bomberman Agent
• X-Ray Classification to Detect COVID-19 using Ensemble Model
• Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence
• Optimizing Multi-objective Knapsack Problem using a Hybrid Ant Colony Approach within Multi Directional Framework
• Towards a Certification of Deep Image Classifiers against Convolutional Attacks
• T-Balance: A Unified Mechanism for Taxi Scheduling in a City-scale Ride-sharing Service
• Jason Agents for Knowledge-aware Information Retrieval Filters
• Robust Traffic Signal Timing Control using Multiagent Twin Delayed Deep Deterministic Policy Gradients
• Adversarial Examples by Perturbing High-level Features in Intermediate Decoder Layers
• Cognitive Planning in Motivational Interviewing
• Developing and Experimenting on Approaches to Explainability in AI Systems
• Uncertainty Guided Pseudo-Labeling: Estimating Uncertainty on Ambiguous Data for Escalating Image Recognition Performance
• Graph Convolutional Networks for Turn-Based Strategy Games
• Time to Focus: A Comprehensive Benchmark using Time Series Attribution Methods
• Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks
• Parameter Setting in SAT Solver using Machine Learning Techniques
• Intelligent Diagnosis of Breast Cancer with Thermograms using Convolutional Neural Networks
• Understanding Summaries: Modelling Evaluation in Extractive Summarisation Techniques
• Predicting the Intended Action using Internal Simulation of Perception
• Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop
• Improved Predictive Fundamental Period Formula for Reinforced Concrete Structures through the Use of Machine Learning Algorithms
• LABNET: A Collaborative Method for DNN Training and Label Aggregation
• RVPLAN: Runtime Verification of Assumptions in Automated Planning
• Expert-guided Symmetry Detection in Markov Decision Processes
• Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols
• DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
• Method for Improving Quality of Adversarial Examples
• Unsupervised Activity Recognition Using Trajectory Heatmaps from Inertial Measurement Unit Data
• A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification
• Vectorization of Bias in Machine Learning Algorithms
• Automatic Arabic Poem Generation with GPT-2
• On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt
• FOREAL: RoBERTa Model for Fake News Detection based on Emotions
• Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness
• Identifying Soft Cores in Propositional Formulæ
• The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines
• An Assessment of the Impact of OCR Noise on Language Models
• eSardine: A General Purpose Platform with Autonomous AI and Explainable Outputs
• An Evolutionary-based Neural Network for Distinguishing between Genuine and Posed Anger from Observers’ Pupillary Responses
• Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning
• Enabling Markovian Representations under Imperfect Information
• AnimaChaotic: AI-based Automatic Conversion of Children’s Stories to Animated 3D Videos
• Automatic Recognition of Human Activities Combining Model-based AI and Machine Learning
• Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion
• ImpressionNet: A Multi-view Approach to Predict Socio-facial Impressions
• Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification
• Duplicate Detection in a Knowledge Base with PIKA
• Negative Selection in Classification using DBLOSUM Matrices as Affinity Function
• Reasoning with Inconsistency-tolerant Fuzzy Description Logics
• ScaPMI: Scaling Parameter for Metric Importance
• SubTST: A Combination of Sub-word Latent Topics and Sentence Transformer for Semantic Similarity Detection
• CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace
• An Algorithm for Estimating Answerers’ Performance and Improving Answer Quality Predictions in QA Forums
• Traffic Classification of Home Network Devices using Supervised Learning
• LCPP: Low Computational Processing Pipeline for Delivery Robots
• A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis
• Augmenting Reinforcement Learning to Enhance Cooperation in the Iterated Prisoner’s Dilemma
• Exploring Contextualized Tag-based Embeddings for Neural Collaborative Filtering
• Deep-Learning-based Fuzzy Symbolic Processing with Agents Capable of Knowledge Communication
• Object-less Vision-language Model on Visual Question Classification for Blind People
• Spike-time Dependent Feature Clustering
• A Lexicon-based Collaborative Filtering Approach for Recommendation Systems
• Whale Optimization-based Prediction for Medical Diagnostic
• Constrained CP-nets Similarity
• Discrete Mother Tree Optimization and Swarm Intelligence for Constraint Satisfaction Problems
• Falsification-aware Semantics for CTL and Its Inconsistency-tolerant Subsystem: Towards Falsification-aware Model Checking
• Evolving Evaluation Functions for Collectible Card Game AI
• Analysing the Sentiments in Online Reviews with Special Focus on Automobile Market
• Incremental Feature Learning for Fraud Data Stream
• Dynamically Generated Question Answering Evidence using Efficient Context-preserving Subdivision
• Quantifying Student Attention using Convolutional Neural Networks
• Magic Mirror: I and My Avatar - A Versatile Augmented Reality Installation Controlled by Hand Gestures
• Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
• Towards Robust Continual Learning using an Enhanced Tree-CNN
• Identifying Problematic Gamblers using Multiclass and Two-stage Binary Neural Network Approaches
• EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval
• Classification of Video Viewing Task Types and Recommendation of Videos
• Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task
• On the Suitability of SHAP Explanations for Refining Classifications
• Multi-label Classification of Aircraft Heading Changes using Neural Network to Resolve Conflicts
• A Singlish Supported Post Recommendation Approach for Social Media
• Rethinking Traffic Management with Congestion Pricing and Vehicular Routing for Sustainable and Clean Transport
• Training Machine Learning Models to Detect Group Differences in Neurophysiological Data using Recurrence Quantification Analysis based Features
• Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data
• Reinforcement Learning Guided by Provable Normative Compliance
• Upper Confident Bound Fuzzy Q-learning and Its Application to a Video Game
• A Feature Engineering Focused System for Acoustic UAV Payload Detection
• CycleGAN-based Approach for Masked Face Classification
• A Survey on Tie Strength Estimation Methods in Online Social Networks
• Map Matching Algorithm for Large-scale Datasets
• Micro Junction Agent: A Scalable Multi-agent Reinforcement Learning Method for Traffic Control
• Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment
• Logical Structure-based Pretrained Models for Legal Text Processing
• The Impact of COVID-19 on Crime: A Study from the Spatial-temporal Perspective in the Montgomery County, AL
• Multi-task Deep Reinforcement Learning for IoT Service Selection
• Climbing the Ladder: How Agents Reach Counterfactual Thinking
• Ensemble of Patches for COVID-19 X-Ray Image Classification
• Leveraging Event Marketing Performance using AI in Facial Recognition
• Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification
• Barriers to the Practical Adoption of Federated Machine Learning in Cross-company Collaborations
• Detection of Emotion Categories’ Change in Speeches
• A Framework for Generating Playstyles of Game AI with Clustering of Play Logs
• An Activation Function with Probabilistic Beltrami Coefficient for Deep Learning
• Soft Adversarial Training Can Retain Natural Accuracy
• Classification of Table Tennis Strokes in Wearable Device using Deep Learning
• Towards a Knowledge Graph-specific Definition of Digital Transformation: An Account Networking View for Auditing
• Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations
• Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment
• Evaluating Two Ways for Mobile Robot Obstacle Avoidance with Stereo Cameras: Stereo View Algorithms and End-to-End Trained Disparity-sensitive Networks
• A Logical Characterization of Evaluable Knowledge Bases
• Towards a Formal Framework for Social Robots with Theory of Mind
• A Formal Framework for Designing Boundedly Rational Agents
• Late Bindings in AgentSpeak(L)
• Learning Optimal Behavior in Environments with Non-stationary Observations
• Predicting Trains Delays using a Two-level Machine Learning Approach
• Usage of Stacked Long Short-Term Memory for Recognition of 3D Analytic Geometry Elements
• BRL: A Toolkit for Learning How an Agent Performs Belief Revision
• Vaccination Planning in Peru using Constraint Programming
• Combining YOLO and Deep Reinforcement Learning for Autonomous Driving in Public Roadworks Scenarios
• Disruption Management of ASAE’s Inspection Routes
• YOLOv3: Traffic Signs & Lights Detection and Recognition for Autonomous Driving
• Balancing Multiplayer Games across Player Skill Levels using Deep Reinforcement Learning
• Molecular Fragments from Incomplete, Real-life NMR Data: Framework for Spectra Analysis with Constraint Solvers
• ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence
• Experimenting Machine-Learning Algorithms for Morphological Disambiguation of Arabic Texts
• A Many-valued Semantics for Multi-agent System
• Grid Representation in Neural Networks for Automated Planning
• The Winograd Schema Challenge: Are You Sure That We Are on the Right Track?
• Systematic Model-based Design of a Reinforcement Learning-based Neural Adaptive Cruise Control System
• Attributed-based Label Propagation Method for Balanced Modularity and Homogeneity Community Detection
• Momentum Iterative Gradient Sign Method Outperforms PGD Attacks
• An Atypical Metaheuristic Approach to Recognize an Optimal Architecture of a Neural Network
• Text Classification of English News Articles using Graph Mining Techniques
• Issue Area Discovery from Legal Opinion Summaries using Neural Text Processing
• Old English Universal Dependencies: Categories, Functions and Specific Fields
• Development of a New Fundamental Period Formula for Steel Structures Considering the Soil-structure Interaction with the Use of Machine Learning Algorithms
• Using Machine Learning and Finite Element Modelling to Develop a Formula to Determine the Deflection of Horizontally Curved Steel I-beams
• Evolving Gaussian Mixture Models for Classification
• Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems
• Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition
• ContourVerifier: A Novel System for the Robustness Evaluation of Deep Contour Classifiers
• A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification
• P2Ag: Perception Pipeline in Agriculture for Robotic Harvesting of Tomatoes
• Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values
• Prediction of Store Demands by Decision Trees and Recurrent Neural Networks Ensemble with Transfer Learning
• Recommendation System for Student Academic Progress
• Efficient Removal of Weak Associations in Consensus Clustering
• Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings
• Social Transmission of Information through Virtual Robotic Agents
• Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance
• CogToM-CST: An implementation of the Theory of Mind for the Cognitive Systems Toolkit
• An Implemented System for Cognitive Planning
• An Asymetric-key Cryptosystem based on Artificial Neural Network
• A Safer Approach to Build Recommendation Systems on Unidentifiable Data
• Comparing Monocular Camera Depth Estimation Models for Real-time Applications
• How to Simplify Law Automatically? A Study on South Korean Legislation and Its Simplified Version
• On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains
• Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions
• Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks
• Classification Rules Explain Machine Learning
• Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches
• Training AI to Recognize Realizable Gauss Diagrams: The Same Instances Confound AI and Human Mathematicians
• A Smart Home Testbed for Evaluating XAI with Non-experts
• A Constraint Programming Model for the Scheduling Problem with Flexible Maintenance under Human Resource Constraints
• A Machine Learning Approach for Spare Parts Lifetime Estimation