• A Holonic Multi-Agent Architecture For Smart Grids
• Differential Weight and Population Size of PRDE Traders: An Analysis of Their Impact on Market Dynamics
• Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System
• Online HTN Planning for Data Transfer and Utilization Considering Legal and Ethical Norms: Case Study
• Cross-Paradigm Interoperability Between Jadescript and Java
• Operational Semantic of an AgentSpeak(L) Interpreter Using Late Bindings
• Analyzing the Effectiveness of Stereotypes
• Virtual Agent Behavior Modeling in Case of a Risky Situation in a Virtual Electrical Substation
• Dynamic Task Graphs for Teams in Collaborative Assembly Processes
• Logic of Awareness in Agent’s Reasoning
• Teleo-Reactive Agents in a Simulation Platform
• Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents
• Wall Climbing Emergent Behavior in a Swarm of Real-World Miniature Autonomous Blimps
• Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem
• A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour
• Measuring Emotion Velocity for Resemblance in Neural Network Facial Animation Controllers and Their Emotion Corpora
• SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation
• Conflicting Moral Codes for Self-Driving Cars: The Single Car Case
• Machine Learning for Cognitive BDI Agents: A Compact Survey
• A Study Toward Multi-Objective Multiagent Reinforcement Learning Considering Worst Case and Fairness Among Agents
• Bottom-Up Bio-Inspired Algorithms for Optimizing Industrial Plants
• Towards a Fleet of Autonomous Haul-Dump Vehicles in Hybrid Mines
• Hierarchical Constraint Logic Programming for Multi-Agent Systems
• Fast Heuristic for Ricochet Robots
• Parallel and Distributed Epirust: Towards Billion-Scale Agent-Based Epidemic Simulations
• A Study of the Effectiveness of English Speaking of Teachable Agent using AI Chatbot
• Studying the Impact of Transportation During Lockdown on the Spread of COVID-19 Using Agent-Based Modeling
• Towards User-Centred Validation and Calibration of Agent-Based Models
• Swapping Physical Resources at Runtime in Embedded MultiAgent Systems
• A Normative Multiagent Approach to Represent Data Regulation Concerns
• Study on Decentralized Anytime Evolutionary Algorithm for DCOPs Containing Adversarial Agents
• Modelling Agents in Industry 4.0 Applications Using Asset Administration Shell
• A Game Theoretic Approach to Attack Graphs
• Reciprocal Adaptation Measures for Human-Agent Interaction Evaluation
• How to Find Good Coalitions to Achieve Strategic Objectives
• Coupled Assignment Strategy of Agents in Many Targets Environment
• Automated Agent Migration over Distributed Data Structures
• The Missing Tip: Lack of Micro-Movements Impairs Navigation Realism in Artificial Social Agents
• REPMAS: A Requirements Engineering Process for MultiAgent Systems: An Application Example
• Towards Modelling and Verification of Social Explainable AI
• Strategy Analysis for Competitive Bilateral Multi-Issue Negotiation
• An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition
• Detection of Compound-Type Dark Jargons Using Similar Words
• Natural Language Explanatory Arguments for Correct and Incorrect Diagnoses of Clinical Cases
• Learning to Participate Through Trading of Reward Shares
• Multi-Agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way?
• On Converting Logic Programs Into Matrices
• JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework
• Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data
• Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning
• An Ontology-Based Augmented Observation for Decision-Making in Partially Observable Environments
• InsectDSOT: A Neural Network for Insect Detection in Olive Trees
• MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval
• CSP-DC: Data Cleaning via Constraint Satisfaction Problem Solving
• Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data
• Analysing Customer Behaviour Using Simulated Transactional Data
• An Audit Framework for Technical Assessment of Binary Classifiers
• EMTE: An Enhanced Medical Terms Extractor Using Pattern Matching Rules
• A Fine-Tuning Aggregation Convolutional Neural Network Surrogate Model of Strategy Selecting Mechanism for Repeated-Encounter Bilateral Automated Negotiation
• An Application of Priority-Based Lightweight Ontology Merging
• Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images
• Exotic Bets: Evolutionary Computing Coupled with Bet Mechanisms for Model Selection
• Partner Selection Strategy in Open, Dynamic and Sociable Environments
• Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT
• Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
• Automatic Facility Layout Design System Using Deep Reinforcement Learning
• Qualitative Spatial Representation and Reasoning About Fold Strata
• Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices
• Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning
• Coverage-Guided Fuzzing for Plan-Based Robotics
• Trade-off Clustering Approach for Multivariate Multi-Step Ahead Time-Series Forecasting
• A New Dynamic Community-Based Recommender System
• Rewiring Knowledge Graphs by Graph Neural Network Link Predictions
• Interactive Video Saliency Prediction: The Stacked-convLSTM Approach
• LSTM, ConvLSTM, MDN-RNN and GridLSTM Memory-based Deep Reinforcement Learning
• Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
• Towards a Foundation for Intelligent Contracts
• Using NLP to Enrich Scientific Knowledge Graphs: A Case Study to Find Similar Papers
• Generation of Facial Images Reflecting Speaker Attributes and Emotions Based on Voice Input
• Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning
• Deep Learning Model Selection With Parametric Complexity Control
• Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database
• Adding Time and Subject Line Features to the Donor Journey
• Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums
• Reinforcement Learning Explained via Reinforcement Learning: Towards Explainable Policies through Predictive Explanation
• First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation
• Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition
• GaSUM: A Genetic Algorithm Wrapped BERT for Text Summarization
• Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation
• Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks
• Studying Narrative Economics by Adding Continuous-Time Opinion Dynamics to an Agent-Based Model of Co-Evolutionary Adaptive Financial Markets
• A Robust Adaptive Workload Orchestration in Pure Edge Computing
• Quantitative Performance Analysis from Discrete Perspective: A Case Study of Chip Detection in Turning Process
• Coevolving Hexapod Legs to Generate Tripod Gaits
• Normalization and Denormalization for a Document-Oriented Data
• Turn-Based Multi-Agent Reinforcement Learning Model Checking
• Emotion-Cause Pair Extraction as Question Answering
• Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making
• Improving the Human-Likeness of Game AI’s Moves by Combining Multiple Prediction Models
• Detecting 2D NMR Signals Using Mask RCNN
• Task Scheduling: A Reinforcement Learning Based Approach
• pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data
• Hard Spatial Attention Framework for Driver Action Recognition at Nighttime
• Anomaly Detection for Multivariate Industrial Sensor Data via Decoupled Generative Adversarial Network
• A Knowledge-Based Approach for Evaluating Impact of Therapeutic Strategies
• Scenario Generation With Transitive Rules for Counterfactual Event Analysis
• Comparative Analysis of Process Models for Data Science Projects
• Learning Preferences in Lexicographic Choice Logic
• Sentence Transformers and DistilBERT for Arabic Word Sense Induction
• Denial of Service Detection for IoT Networks Using Machine Learning
• An Efficient Real Time Intrusion Detection System for Big Data Environment
• Chop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases
• A System for Updating Trust and Performing Belief Revision
• Nature-Inspired Algorithms for Solving Weighted Constraint Satisfaction Problems
• Explainable Recommendations of Drugs for Diabetic Patients
• Fully Hidden Dynamic Trigger Backdoor Attacks
• On the Impact of Grounding on HTN Plan Verification via Parsing
• Automatic Reactive Power Classification Based on Selected Machine Learning Methods
• Nearest Neighbours and XAI Based Approach for Soft Labelling
• A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks
• Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview
• Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection
• A New Approach to Probabilistic Knowledge-Based Decision Making
• XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning
• ECA-CE: An Evolutionary Clustering Algorithm with Initial Population by Clustering Ensemble
• Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images
• SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity
• A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
• Interpretability and Explainability of Logistic Regression Model for Breast Cancer Detection
• Enhancing Time Series Classification with Self-Supervised Learning
• Symbolic Explanations for Multi-Label Classification
• VoronoiPatches: Evaluating a New Data Augmentation Method
• Diverse Level Generation for Tile-Based Video Game using Generative Adversarial Networks from Few Samples
• The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design
• A New Approach to Moving Object Detection and Segmentation: The XY-shift Frame Differencing
• Towards Automatic Medical Report Classification in Czech
• Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback
• Background Image Editing with HyperStyle and Semantic Segmentation
• Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints
• MAKI: A Multi-Agent Public Key Infrastructure
• A Survey of Socio-Emotional Strategies for Generation-Based Conversational Agents
• On the Prediction of a Nonstationary Exponential Distribution Based on Bayes Decision Theory
• Automatic Detection of Implicit and Typical Implementation of Singleton Pattern Based on Supervised Machine Learning
• An Automatic Method for Building a Taxonomy of Areas of Expertise
• Multi-Objective Deep Q-Networks for Domestic Hot Water Systems Control
• A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture
• Generation of Daily and Monthly Flows Using the GR4j Method with ERA5 Grilled Data in the Cañete River Basin to the Putinza Hydrometric Station
• Predicting Visual Importance of Mobile UI Using Semantic Segmentation
• NewsRecs: A Mobile App Framework for Conducting and Evaluating Online Experiments for News Recommender Systems
• Emotions Relationship Modeling in the Conversation-Level Sentiment Analysis
• Head Star (H*): A Motion Planning Algorithm for Navigation Among Movable Obstacles
• Constraint-Based Filtering and Evaluation of CSP Search Trees
• A Framework for Explaining Accident Scenarios for Self-Driving Cars
• An Effective Hybrid Text-Based Approach to Identify Fake News on Social Media
• GAN Inversion with Editable StyleMap
• Rumor Detection in Tweets Using Graph Convolutional Networks
• Potentials of Explainable Predictions of Order Picking Times in Industrial Production
• Compressing UNSAT Search Trees with Caching
• Explainable Decision Support Modelling Based on Multi-Layer FCM with Multi-Objective Optimization Characteristics: The Case of the Microservices Adoption Problem
• A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection
• Thompson Sampling on Asymmetric a-stable Bandits
• Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms
• Voicemail Urgency Detection Using Context Dependent and Independent NLP Techniques
• Video Game Agents with Human-like Behavior using the Deep Q-Network and Biological Constraints
• Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident
• Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks
• Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
• Multi Platform-Based Hate Speech Detection
• Automatically Generating Image Segmentation Datasets for Video Games
• Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method
• Randout-KD: Finetuning Foundation Models for Text Classification via Random Noise and Knowledge Distillation
• Automated Planning for Military Airline Controller Training Scenarios
• Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution
• Multi-Agent Parking Problem with Sequential Allocation
• Ethical Considerations for the Deployment of Logic-Based Models of Reasoning
• Bagged Ensembles for Blood Glucose Prediction: A Comparative Study
• Shrinking the Inductive Programming Search Space with Instruction Subsets
• How Fine Tuning Affects Contextual Embeddings: A Negative Result Explanation
• Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure
• InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset
• Hybrid Genetic U-Net Algorithm for Medical Segmentation
• Convolutional Networks Versus Transformers: A Comparison in Prostate Segmentation
• Modeling Syntactic Knowledge With Neuro-Symbolic Computation
• Applied Deep Learning Architectures for Breast Cancer Screening Classification
• Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU?
• PARL: A Dialog System Framework with Prompts as Actions for Reinforcement Learning
• Evaluating and Improving End-to-End Systems for Knowledge Base Population
• Model Transparency: Why Do We Care?
• Drone Surveillance in Extreme Low Visibility Conditions
• Explainability of MLP Based Species Distribution Models: A Case Study
• Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience
• Modeling an e-Commerce Hybrid Recommender System Based on Machine Learning Algorithms
• Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
• An Empirical Heuristic Algorithm for Solving the Student-Project Allocation Problem with Ties
• Popularity Prediction for New and Unannounced Fashion Design Images
• Automated Deep Learning Based Answer Generation to Psychometric Questionnaire: Mimicking Personality Traits
• SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
• A Bi-Level Genetic Algorithm to Solve the Dynamic Flexible Job Shop Scheduling Problem
• Question Difficulty Decision for Automated Interview in Foreign Language Test
• Japanese Word Reordering Based on Topological Sort
• An Artificial Dendritic Neuron Model Using Radial Basis Functions
• Supervised Learning for Untangling Braids
• Multi-Graph Encoder-Decoder Model for Location-Based Character Networks in Literary Narrative
• Model for Real-Time Subtitling from Spanish to Quechua Based on Cascade Speech Translation
• Decision-Making in Hearthstone Based on Evolutionary Algorithm
• Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech
• A Convolutional Neural Network Based Patch Classifier Using Mammograms
• How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion
• Blending Dependency Parsers With Language Models
• A Zero-Shot Transformer Model For an Attribute-Guided Challenge
• Compression of GPS Trajectories Using Autoencoders
• Improved Encoding of Possibilistic Networks in CNF Using Quine-McCluskey Algorithm
• Logic + Reinforcement Learning + Deep Learning: A Survey
• German BERT Model for Legal Named Entity Recognition
• Using Neural Network Architectures for Intraday Trading in the Gold Market
• Software Requirements Prioritisation Using Machine Learning
• Data-Driven Weather Forecast Using Deep Convolution Neural Network
• A Novel Sampling Technique for Detecting Cyber Denial of Service Attacks on the Internet of Things
• Creating a Math Expression Filter to Extract Concise Math Expression Images
• Optimising Evolution of SA-UNet for Iris Segmentation
• Playstyle Generation for Geister With Genetic Algorithm and Clustering
• Proposal of a Signal Control Method Using Deep Reinforcement Learning with Pedestrian Traffic Flow
• Bottom-up Japanese Word Ordering Using BERT
• Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data