• Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem
• Dynamic Path Planning for Autonomous Vehicles Using Adaptive Reinforcement Learning
• A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
• XGBoost Learning of Dynamic Wager Placement for In-Play Betting on an Agent-Based Model of a Sports Betting Exchange
• Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms
• Multi-Agent Monocular SLAM
• Clustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation
• Decentralized Intelligence for Smart Agriculture
• Deep Reinforcement Learning Framework with Representation Learning for Concurrent Negotiation
• Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining Attack
• Twisted Strategy Bolsters Minority Cooperator Populations
• Parameter Estimation of Macroeconomic Agent-Based Models Using Evolutionary Computation
• Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
• Be Persuasive! Automatic Transformation of Virtual Agent's Head and Facial Behavior
• Driving Towards a Sustainable Future: A Multi-Layered Agent-Based Digital Twin Approach for Rural Areas
• Unmasking the Giant: A Comprehensive Evaluation of ChatGPT’s Proficiency in Coding Algorithms and Data Structures
• Effects of Virtual-Teacher Appearance and Student Gender on Lesson Effectiveness in Teaching About Social Issues
• Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization
• ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering
• A Three-Valued Semantics for Negotiated Situation of Multi-Agent System Based on BATNA and WATNA
• Scalable Verification of Social Explainable AI by Variable Abstraction
• Sweeping-Based Multi-Robot Exploration in an Unknown Environment Using Webots
• AutoNav in C-L-U-E: A Baseline Autonomous Software Stack for Autonomous Navigation in Closed Low-Speed Unstructured Environments
• Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning
• Simulation Analysis of Evacuation Guidance Using Dynamic Distributed Signage
• Experimenting with Planning and Reasoning in Ad Hoc Teamwork Environments with Large Language Models
• A Framework for Studying Communication Pathways in Machine Learning-Based Agent-to-Agent Communication
• Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking
• Improving the Sum-of-Cost Methods for Reduction-Based Multi-Agent Pathfinding Solvers
• Adapted Conflict Detection for Conflict Based Search
• Better Spacial Hashing with Linear Memory Usage and Parallelism
• The Role of Stop-Loss Orders in Market Efficiency and Stability: An Agent-Based Study
• Exploring the Impact of Competing Narratives on Financial Markets II: An Opinionated Trader Agent-Based Model with Dynamic Feedback
• Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events
• DriveToGæther: A Turnkey Collaborative Robotic Event Platform
• Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent
• Quantum Advantage Actor-Critic for Reinforcement Learning
• Multi-Agent Based Framework for Cooperative Traffic Management in C-ITS System
• Multi-Agent Path Finding: Policies Instead of Plans
• Exploring the Impact of Competing Narratives on Financial Markets I: An Opinionated Trader Agent-Based Model as a Practical Testbed
• Investigation of Heuristics for PIBT Solving Continuous MAPF Problem in Narrow Warehouse
• An Investigation of Distributed Constraint Optimization with Non-Responding Agents Toward Real-Time Solution Method on Practical Messaging Platforms
• Advancements in Traffic Simulations with multiMATSim’s Distributed Framework
• Comparing Variable Handling Strategies in BDI Agents: Experimental Study
• Exploring Text-Generating Large Language Models (LLMs) for Emotion Recognition in Affective Intelligent Agents
• Distributed Theory of Mind in Multi-Agent Systems
• An Interpretable Machine Learning Approach for Identifying Occupational Stress in Healthcare Professionals
• Exploring the Relationship Between Emotions and Norms in Decision-Making Processes of Intelligent Agents
• A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions
• Multi-Agent Path Finding with Continuous Time Using SAT Modulo Linear Real Arithmetic
• Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models
• Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach
• Using Chatbot Technologies to Support Argumentation
• Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite
• Analysis of the Effectiveness of Large Language Models in Assessing Argumentative Writing and Generating Feedback
• Predicting Major Donor Prospects Using Machine Learning
• I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments
• An Analysis of Knowledge Representation for Anime Recommendation Using Graph Neural Networks
• Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs
• Lazy Nested Monte Carlo Search for Coalition Structure Generation
• Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets
• Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents
• Multiple Relations Classification Using Imbalanced Predictions Adaptation
• Neural Architecture Search for Bearing Fault Classification
• Optimization of Fuzzy Rule Induction Based on Decision Tree and Truth Table: A Case Study of Multi-Class Fault Diagnosis
• Investigation into the Training Dynamics of Learned Optimizers
• A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams
• DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
• Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess
• Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits
• Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
• An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels
• Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
• Multi-Granular Evaluation of Diverse Counterfactual Explanations
• Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
• Machine Learning-Based Optimization of E-Commerce Advertising Campaigns
• GNNDLD: Graph Neural Network with Directional Label Distribution
• Dynamically Choosing the Number of Heads in Multi-Head Attention
• Parameter-Free Undersampling for Multi-Label Data
• Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce
• On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts
• Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning
• CNNs Sparsification and Expansion for Continual Learning
• Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text
• Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements
• LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images
• VP-DARTS: Validated Pruning Differentiable Architecture Search
• On Learning Bipolar Gradual Argumentation Semantics with Neural Networks
• A Probabilistic Approach for Detecting Real Concept Drift
• EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation
• Metrics for Popularity Bias in Dynamic Recommender Systems
• Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study
• Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences
• Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson’s Disease Detection
• Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems
• Towards the Use of AI-Based Tools for Systematic Literature Review
• ALISE: An Automated Literature Screening Engine for Research
• Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling
• A Survey of Deep Learning: From Activations to Transformers
• DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System
• Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels
• Hybrid Quanvolutional Echo State Network for Time Series Prediction
• Fingerprint Large Classification Using Sequential Learning on Parallel Environment
• Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data
• Foundations of Dispatchability for Simple Temporal Networks with Uncertainty
• A Unified Conceptual Framework Integrating UML and RL for Efficient Reconfiguration Design
• A Challenging Data Set for Evaluating Part-of-Speech Taggers
• Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations
• HierNet: Image Recognition with Hierarchical Convolutional Networks
• A Coachable Parser of Natural Language Advice
• Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves
• Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors
• From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework
• A Deep Analysis for Medical Emergency Missing Value Imputation
• Partial Tensorized Transformers for Natural Language Processing
• Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
• Adaptive Questionnaire Design Using AI Agents for People Profiling
• VOEDHgesture: A Multi-Purpose Visual Odometry/ Simultaneous Localization and Mapping and Egocentric Dynamic Hand Gesture Data-Set for Virtual Object Manipulations in Wearable Mixed Reality
• Advanced Deep Learning Techniques for Industry 4.0: Application to Mechanical Design and Structural Health Monitoring
• Improvement of Satellite Image Classification Using Attention-Based Vision Transformer
• Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position
• iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals
• Sales Forecasting for Pricing Strategies Based on Time Series and Learning Techniques
• Performance Assessment of Neural Radiance Fields (NeRF) and Photogrammetry for 3D Reconstruction of Man-Made and Natural Features
• Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation
• Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization
• Automatic Detection and Classification of Atmospherical Fronts
• A Systematic Literature Review of Artificial Intelligence Applications for Diagnosing Hand Tremor Disorders Through Video Analysis
• Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods
• Mobile Agents-Based Framework for Dynamic Resource Allocation in Cloud Computing
• Climate-Friendly Online Shopping Within the Green eCommerce Project: A Fitting Tool to Determine T-Shirt Sizes Using Active Depth Sensing
• Designing Algorithms for the Shortest Path Reconfiguration Problem Using Decision Diagram Operations
• FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity
• A Novel Image Steganography Method Based on Spatial Domain with War Strategy Optimization and Reed Solomon Model
• A Novel Metric for Measuring Data Quality in Classification Applications
• Hybrid Approach to Explain BERT Model: Sentiment Analysis Case
• A Multi-Task Learning Framework for Image Restoration Using a Novel Generative Adversarial Network
• Transition of Model Performance in Dependence of the Amount of Data Corruption with Respect to Network Sizes
• AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
• Rule-Based Decision Making in Biologically Inspired Condition Management System
• Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection
• A Soft Constraint-Based Framework for Ethical Reasoning
• Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping
• CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging
• Artificial Intelligence Algorithms to Predict College Students’ Dropout: A Systematic Mapping Study
• Curvature-Informed Attention Mechanism for Long Short-Term Memory Networks
• Using Ensemble Models for Malicious Web Links Detection
• Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events
• Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach
• A Delay-Aware DRL-Based Environment for Cooperative Multi-UAV Systems in Multi-Purpose Scenarios
• Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications
• Nudging Automated Planners with Learned User Preferences
• RLAR: A Reinforcement Learning Abductive Reasoner
• Time Series Prediction Models in Healthcare: Systematic Literature Review
• Relevant Facial Key Parts and Feature Points for Emotion Recognition
• Prediction in Pre-University Education System Using Machine Learning Methods
• Variance Reduction of Resampling for Sequential Monte Carlo
• A Comprehensive Analysis of Parkinson’s Disease Detection Through Inertial Signal Processing
• A Novel Partitioning Approach for Real-Time Scheduling of Mixed-Criticality Systems
• A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology
• A Toolset for Constraint Programming
• Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data
• Digital Twin and Foundation Models: A New Frontier
• Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
• DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers
• System-Call-Level Dynamic Analysis for Code Translation Candidate Selection
• Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics
• Towards a Biologically-Plausible Computational Model of Human Language Cognition
• Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data
• Social Implications of OCEAN Personality: An Automated BERT-Based Approach
• Agent Based Model for AUTODL Optimisation
• Autonomous Drone Takeoff and Navigation Using Reinforcement Learning
• New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition
• Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph
• Digital Discrimination Detection in Ridesharing Services in Rio de Janeiro City
• SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings
• Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling
• F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning
• Simulation of Consumers Behavior Facing Discounts and Promotions
• Zero Trust for Intrusion Detection System: A Systematic Literature Review
• Inferring Interpretable Semantic Cognitive Maps from Noisy Document Corpora
• Medi-CAT: Contrastive Adversarial Training for Medical Image Classification
• Requisite Social Influence in Self-Regulated Systems
• Predicting Emotion Before an Utterance: Replacing Contextual Information with Knowledge-Based Prediction
• Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
• Proposal of a Cosmetic Product Recommendation Method with Review Text that is Predicted to Be Write by Users
• Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence
• Solving Job Shop Problems with Neural Monte Carlo Tree Search
• Multi-Agent Deep Reinforcement Learning for Collaborative Task Scheduling
• BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets
• LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags
• Quantum Federated Learning for Image Classification
• GREED: Graph Learning Based Relation Extraction with Entity and Dependency Relations
• New Speed Limit Recognition System: Software and Hardware Validation
• Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
• A Description Language for Similarity, Belief Change and Trust
• Knowledge-Aware Object Detection in Traffic Scenes
• Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning
• Oral Diseases Recognition Based on Photographic Images
• ConEX: A Context-Aware Framework for Enhancing Explanation Systems
• Heuristic Feedback for Generator Support in Generative Adversarial Network
• Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
• Enhancing Breast Cancer Diagnosis: Automated Segmentation and Detection with YOLOv8
• Activity Recognition in Smartphones Using Non-Intrusive Sensors
• Detecting and Analyzing Agent Communication Anomalies in Distributed Energy System Control
• SIFT-ResNet Synergy for Accurate Scene Word Detection in Complex Scenarios
• A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content
• Parkinson’s Disease Detection Through Inertial Signals and Posture Insights
• Harnessing LLM Conversations for Goal Model Generation from User Reviews
• Multi-Agent Archive-Based Inverse Reinforcement Learning by Improving Suboptimal Experts
• A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA
• Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting
• Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
• Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
• Conjugate Gradient for Latent Space Manipulation
• Compressing UNSAT CDCL Trees with Caching
• Uncertain Formal Concept Analysis for the Study of a Text Corpus
• Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks
• Significance of Training Images and Feature Extraction in Lesion Classification
• GOLOG++ Hits the (Right) Spot: Interfacing Golog with a Quadruped Rescue Robot for High-Level Missions
• Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques
• A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques
• FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network
• Towards Knowledge-Augmented Agents for Efficient and Interpretable Learning in Sequential Decision Problems
• Decoupling the Backward Pass Using Abstracted Gradients
• Multiverse: A Deep Learning 4X4 Sudoku Solver
• A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain
• A Formal Verification Approach to Handle Attack Graphs
• Enhancing Constraint Optimization Problems with Greedy Search and Clustering: A Focus on the Traveling Salesman Problem
• GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning
• Hybrid PSO-Based Rule Classifier for Disease Detection
• Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks
• A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop
• Generating Products Placement in Warehouse Using BLPSO and MIQCPs
• Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning
• Efficient Batch Assignment for Parallel-Machine Production Scheduling
• Heimatkunde: Dataset for Multi-Modal Historical Document Analysis
• Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario
• Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning
• Multicriteria Analysis of the Robotic Systems Autonomy Using Fuzzy Calculations
• Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure
• Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features
• A Logic-Based Model to Reduce IoT Security Risks
• Why an Automated, Scalable and Resilient Service for Semantic Interoperability is Needed
• Autonomous Methods in Multisensor Architecture for Smart Surveillance
• GENERATION: An Efficient Denoising Autoencoders-Based Approach for Amputated Image Reconstruction
• Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality?
• Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
• Action Duration Generalization for Exact Multi-Agent Collective Construction
• Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
• Which Objective Function is Solved Faster in Multi-Agent Pathfinding? It Depends
• DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations
• Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques
• Auditing Fairness and Explainability in Chest X-Ray Image Classifiers
• Machine Learning for Predicting Traffic and Determining Road Capacity
• Class Anchor Margin Loss for Content-Based Image Retrieval
• Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
• Explainable Large Language Models & iContracts
• Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms
• 3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness
• Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model?
• Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach
• A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling
• Government's Response to Ethical Dilemmas in Autonomous Vehicle Accidents: An Australian Policy Evaluation
• Deep Learning Model to Predict the Ripeness of Oil Palm Fruit
• Towards Developing an Agent-Based Framework for Validating the Trustworthiness of Large Language Models
• Academia and Industry Synergy: Addressing Integrity Challenge in Programming Education
• Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming
• Fine-Grained Clustering of Social Media: How Moral Triggers Drive Preferences and Consensus
• An Ontology for Value Awareness Engineering
• Towards a Definition of Awareness for Embodied AI
• AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures
• Towards a Theory of Awareness
• Notes on Measures for Information Access in Neuroscience and AI Systems
• Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects
• Classifying Words with 3-sort Automata
• SMOTE: Are We Learning to Classify or to Detect Synthetic Data?
• Outlier Detection in MET Data Using Subspace Outlier Detection Method
• Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport
• An Approach for Improving Oversampling by Filtering out Unrealistic Synthetic Data
• Towards Value Awareness in the Medical Field
• Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models
• Wildlife Species Classification on the Edge: A Deep Learning Perspective