yusuke1997/dblp-id-title huggingface dataset:
Liver Transplant Waiting List Simulation - An Agent based Model
Data Mining for Automatic Linguistic Description of Data - Textual Weather Prediction as a Classification Problem
Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations
A Survey of Advanced Classification and Feature Extraction Techniques Across Various Autism Data Sources
The Methodology of Parallel Memetic Algorithms Designing
Investigating Answer Validation Using Noise Identification and Classification in Goal-Oriented Dialogues
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information
Clock-Model-Assisted Agent's Spatial Navigation
Taking Inventory Changes into Account While Negotiating in Supply Chain Management
Epistemic and Probabilistic ATL with Quantification and Explicit Strategies
A Systematic Review of Sustainable Supplier Selection Using Advanced Artificial Intelligence Methods
Trends and Directions in Distributed Knowledge
Using Incentives to Obtain Truthful Information
Multimodal Sentiment and Gender Classification for Video Logs
A Mixed Quantization Approach for Data-Free Quantization of LLMs
Estimation of the Cardiac Pulse from Facial Video in Realistic Conditions
A Measurement for Essential Conflict in Dempster-Shafer Theory
Decomposable Probability-of-Success Metrics in Algorithmic Search
Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization
Micro-YOLO: Exploring Efficient Methods to Compress CNN based Object Detection Model
The Derivative Model Approach to Improving ICT Usability
Forecasting Air Pollution in Munich: A Comparison of MLR, ANFIS, and SVM
Explainable Decision Support Modelling Based on Multi-Layer FCM with Multi-Objective Optimization Characteristics: The Case of the Microservices Adoption Problem
Multi-agent Systems in Remote Sensing Image Analysis
Deep Knowledge Representation based on Compositional Semantics for Chinese Geography
Hybrid PSO-Based Rule Classifier for Disease Detection
ABBIE: Attention-Based BI-Encoders for Predicting Where to Split Compound Sanskrit Words
Facial Expression-Based Drowsiness Detection System for Driver Safety Using Deep Learning Techniques
An Adaptive Model of Bus Arrival Time Prediction
Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis
On Explanation of Propositional Logic-based Argumentation System
Linear Algebraic Semantics for Multi-agent Communication
Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games
Towards a Real-time Game Description Language
Towards Software-defined Networked Cars as Social Agents
Comparing Machine Learning Techniques in a Hyperemia Grading Framework
Asset Value Game and Its Extension: Taking Past Actions into Consideration
SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions
Towards an Agent-driven Software Architecture Aligned with User Stories
A Generic Agent Architecture for Cooperative Multi-agent Games
Modeling Self-interested Information Diffusion with Game Theory on Graphs
A Strategy for Efficient Persuasion Dialogues
The Institutional Stance in Agent-based Simulations
Learning User Intentions in Spoken Dialogue Systems
Class Anchor Margin Loss for Content-Based Image Retrieval
Crowd Behavior in Alternative@ - Conflicts in the Decision-making between an Individual and the Group
NARMA-L2-based Antiviral Therapy for Infected CD4+ T Cells in a Nonlinear Model for HIV Dynamics: Protease Inhibitors-based Approach
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
An Efficient Winner Approximation for a Series of Combinatorial Auctions
Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies
Enabling Markovian Representations under Imperfect Information
Double Descent Phenomenon in Liquid Time-Constant Networks, Quantized Neural Networks and Spiking Neural Networks
Norm-ML - A Modeling Language to Model Norms
Artificial Student Agents and Course Mastery Tracking
Occupant Activity Recognition in IoT-Enabled Buildings: A Temporal HTN Planning Approach
Drivable Area Extraction based on Shadow Corrected Images
Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension
Dynamics of Narrow-Minded Belief and Its Cut-Free Sequent Calculus
BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity
A Framework for Interpreting Bridging Anaphora
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback
An Agent based Simulation of the Dynamics in Cognitive Depressogenic Thought
Machine Learning to Geographically Enrich Understudied Sources: A Conceptual Approach
Multi-modal Label Retrieval for the Visual Arts: The Case of Iconclass
Determination of Driver's Hypovigilance from Biosignals
Planning for the Convoy Movement Problem
Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
SCHEMATA: 3D Classification and Categorization of Ancient Terracotta Figurines
Powerful & Generalizable, Why not both? VA: Various Attacks Framework for Robust Adversarial Training
A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification
Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems
Disruption Recovery within Agent Organisations in Distributed Systems
Inconsistency-based Ranking of Knowledge Bases
Scaling up Probabilistic Inference in Linear and Non-linear Hybrid Domains by Leveraging Knowledge Compilation
Norm-regulated Transition System Situations
Comparison of Monolithic and Structural Decision Models Using the Hamming Distance
Smart and Interactive Future Homes - Integration of Autonomic Computing and New HCI Methods
A New Approach to Moving Object Detection and Segmentation: The XY-shift Frame Differencing
Hierarchical Model for Zero-shot Activity Recognition using Wearable Sensors
Multi-robot Intelligence - Flexible Strategy for Robotic Teams
SCENARIO - Setting Crowd Events using Augmented Reality and Artificial Intelligence
Graph Convolutional Networks for Turn-Based Strategy Games
Evolution Strategies and Covariance Matrix Adaptation - Investigating New Shrinkage Techniques
A Zero-Shot Transformer Model For an Attribute-Guided Challenge
Artificial Intelligence and Creativity - Two Requirements to Solve an Extremely Complex Coloring Problem
Path Planning for Autonomous Vehicles with Dynamic Lane Mapping and Obstacle Avoidance
Towards Collaborative Adaptive Autonomous Agents
Translating Web Services Composition Plans to OWL-S Descriptions
An Ontology for Value Awareness Engineering
Swarm-Bots
Qualitative Spatial Representation and Reasoning About Fold Strata
Formalizing Dialectical Reasoning for Compromise-based Justification
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks
Liquidity Stress Detection in the European Banking Sector
Analyzing Adversarial Attacks against Deep Learning for Robot Navigation
Continual Representation Learning for Images with Variational Continual Auto-Encoder
Exploiting Visual Observations for Efficient Workflow Scheduling in Production Environments
From Reactive Multi-Agents Models to Cellular Automata - Illustration on a Diffusion-Limited Aggregation Model
Comparing Privacy Policies of Government Agencies and Companies: A Study using Machine-learning-based Privacy Policy Analysis Tools
Reproducing Evacuation Behaviors of Evacuees during the Great East Japan Earthquake using the Evacuation Decision Model with Realistic Settings
Hair Shading Style Transfer for Manga with cGAN
Quantum Transfer Learning: The Impact of Classical Preprocessing
Magenta Multi-Agent Systems for Dynamic Scheduling
Usage of Stacked Long Short-Term Memory for Recognition of 3D Analytic Geometry Elements
A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture
Knowledge Base Compilation for Inconsistency Measures
Text Classification and Transfer Learning Based on Character-Level Deep Convolutional Neural Networks
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
Distributed Consequence Finding: Partition-Based and Cooperative Approaches
Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning
How to Easily Design Reusable Behaviours for Situated Characters?
On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt
Quantifying Multimodality in World Models
Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection
From Interpretability to Clinically Relevant Linguistic Explanations: The Case of Spinal Surgery Decision-Support
ε-Strong Privacy Preserving Multi-agent Planning
Interpretability and Explainability of Logistic Regression Model for Breast Cancer Detection
Extracting Topological Information from Grid Maps for Robot Navigation
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband
Clustering Quality of a High-dimensional Service Monitoring Time-series Dataset
Together Is Better! Integrating BDI and RL Agents for Safe Learning and Effective Collaboration
Purposive Multi-agent Systems
LS ^2 C - A Platform for Norm Controlled Social Computers
Intuitionistic De Morgan Verification and Falsification Logics
A Faster Algorithm for Checking the Dynamic Controllability of Simple Temporal Networks with Uncertainty
A Two Step Fine-tuning Approach for Text Recognition on Identity Documents
What Did You Mean? - Facing the Challenges of User-generated Software Requirements
User Profiling of People with Disabilities - A Proposal to Pervasively Assess Quality of Life
Paraconsistent Negation and Classical Negation in Computation Tree Logic
Why you should Empirically Evaluate your AI Tool - From SPOSH to yaPOSH
A Constraint Programming Model for the Scheduling Problem with Flexible Maintenance under Human Resource Constraints
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning
ArabiaNer: A System to Extract Named Entities from Arabic Content
Seeking and Avoiding Collisions - A Biologically Plausible Approach
Ontology-based Open Multi-agent Systems for Adaptive Resource Management
Automatic Definition of MOISE Organizations for Adaptive Workflows
Exploring the Role of Large Language Models in Evaluating Argumentative Writing in Military School Education
Communicative Strategy in a Formal Model of Dispute
An Interactive Environment to Support Agent-based Graph Programming
Comparing Variable Handling Strategies in BDI Agents: Experimental Study
Plan Synthesis for Probabilistic Activity Recognition
Through a Fuzzy CTL Logic for Modelling Urban Trajectories - A Framework for Modelling City Evolution from Past to Future
Evaluating the Cost of Supporting Interaction and Simulation through the Environment
Hierarchical HMM-based Failure Isolation for Cognitive Robots
"Where is My Mind"- The Evolution of NPCs in Online Worlds
Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem
Modeling and Simulation of Associative Reasoning
A Niched Pareto Genetic Algorithm - For Multiple Sequence Alignment Optimization
Offline Norm Evolution
Deep Learning-Based Vessel Traffic Prediction Using Historical Density and Wave Features
Foundations of Inconsistency-Tolerant Model Checking: Logics, Translations, and Examples
DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers
Multicriteria Analysis of the Robotic Systems Autonomy Using Fuzzy Calculations
Approximate Bayes Optimal Policy Search using Neural Networks
A Knowledge-Based Approach for Evaluating Impact of Therapeutic Strategies
Integration of Independence Detection into SAT-based Optimal Multi-Agent Path Finding - A Novel SAT-based Optimal MAPF Solver
E-Health Workflow-based Authorization using an Agent-oriented Virtual Health Care Record
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence, Volume 1, ESEO, Angers, Loire Valley, France, 6-8 March, 2014
First Steps for Determining Agent Intention in Dynamic Epistemic Logic
Deep Learning for Frailty Classification Using Raw Inertial Sensor Gait Data
GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models
Agents and Artificial Intelligence - 7th International Conference, ICAART 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers
Lane Changing Model with Early Communication of Intentions
Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up
A Method for Semi-automatic Explicitation of Agent's Behavior - Application to the Study of an Immersive Driving Simulator
Automatic Generation of Questionnaires for Managing Configurable BP Models
A Framework for Studying Communication Pathways in Machine Learning-Based Agent-to-Agent Communication
Brain-Driven Robotic Arm: Prototype Design and Initial Experiments
Comprehensive Transcriptional Analysis Reveals Gene-specific Transcriptional Variations in a Seed Plant, Arabidopsis thaliana
On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts
Interpretability in Word Sense Disambiguation using Tsetlin Machine
Modelling the Semantic Change Dynamics using Diachronic Word Embedding
Semi-Autonomous Rule Acquisition Framework using Controlled Language and Ontology
A Framework of Hierarchical Deep Q-Network for Portfolio Management
ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2 - Agents, Rome, Italy, January 28-30, 2011
Trekking Navigation System using Opportunistic Communication
Continuous Learning in Large-scale Problems: The Case of Multi-script Historical Handwritten Document Collections
Planning and Reactive Agents in Dynamic Game Environments - An Experimental Study
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 2, Porto, Portugal, February 23-25, 2025
On Enumerating All the Minimal Models for Particular CNF Formula Classes
Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms
Traffic Sign Recognition System based on Belief Functions Theory
Serious Game based on Virtual Reality and Artificial Intelligence
Forecasting Demand for Cloud Computing Resources - An Agent-based Simulation of a Two Tiered Approach
Limitations of Tokenizers for Building a Neuro-Symbolic Lexicon
Turtles as State Machines - Agent Programming in NetLogo using State Machines
Probability based Proof Number Search
An Idiotypic Network Approach to Task Allocation in the Multi-robot Domain - Use of an Artificial Immune System to Moderate the Greedy Solution
Real-time Context Aware Reasoning in On-board Intelligent Traffic Systems - An Architecture for Ontology-based Reasoning using Finite State Machines
Comparative Quantitative Evaluation of Distributed Methods for Explanation Generation and Validation of Floor Plan Recommendations
A Framework for the Development and Maintenance of Adaptive, Dynamic, Context-Aware Information Services
Sarcasm Detection Method to Improve Review Analysis
An Agent-based Model for Recreational Fishing Management Evaluation in a Coral Reef Environment
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
A Restricted Model Space Approach for the Detection of Epistasis in Quantitative Trait Loci Using Markov Chain Monte Carlo Model Composition
Investigations with Monte Carlo Tree Search for Finding Better Multivariate Horner Schemes
Creating a Math Expression Filter to Extract Concise Math Expression Images
Balancing Selfishness and Efficiency in Mobile Ad-hoc Networks: An Agent-based Simulation
Deep-Learning-based Fuzzy Symbolic Processing with Agents Capable of Knowledge Communication
Magic Loops in Simple Temporal Networks with Uncertainty - Exploiting Structure to Speed Up Dynamic Controllability Checking
Gossip Galore: An Embodied Conversational Agent for Collecting and Sharing Pop Trivia from the Web
The Linguistic Relevance of Lindenmayer Systems
Possessed Robot: How to Find Original Nonverbal Communication Style in Human-robot Interaction
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, Volume 1, Valletta, Malta, February 22-24, 2020
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights
What Kind of Natural Language Inference are NLP Systems Learning: Is this Enough?
Towards a Computational Approach to Emotion Elicitation in Affective Agents
The Price of Anarchy: Centralized versus Distributed Resource Allocation Trade-offs
Method for Improving Quality of Adversarial Examples
Ontology Integration with Contextual Information
CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty
Suppressing Energy Consumption of Transportation Robots using Mobile Agents
Inherited Properties of ℱ_0 Concept Similarity Measure Under Preference Profile
Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models
Emotion as an Enabler of Co-operation
On using Support Vector Machines for the Detection and Quantification of Hand Eczema
An Artificial Stock Market
Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification
Opponent Modelling in the Game of Tron using Reinforcement Learning
Maintaining Organizational Multi-agent Systems: A Reorganization-based Preventive Approach
Branching-time Versus Linear-time - A Cooperative and Feasible Approach
Instance-incremental Classification of Imbalanced Bidding Fraud Data
Sentence Boundary Detection in German Legal Documents
Memory State Tracker: A Memory Network based Dialogue State Tracker
Multi-agent Reinforcement Learning based on Multi-channel ART Networks
Economic and Food Safety: Optimized Inspection Routes Generation
FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity
A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning
Learning to Determine the Quality of News Headlines
Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks
Toward a Quantum Fuzzy Approach for Emotion Modeling in Parent-Child Interactivity
Numerical Kernels for Monitoring and Repairing Plans Involving Continuous and Consumable Resources
Self-adaptive Topology Neural Network for Online Incremental Learning
On the Suitability of SHAP Explanations for Refining Classifications
Enhanced Local Gradient Smoothing: Approaches to Attacked-region Identification and Defense
Environment Engine for Situated MAS
An Agent-based Application for Home Intelligence
Fingerprint Large Classification Using Sequential Learning on Parallel Environment
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024
ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent
Bee2Fire: A Deep Learning Powered Forest Fire Detection System
The Gopher's Gambit: Survival Advantages of Artifact-based Intention Perception
Self-adaptive Aided Decision-making - Application to Maritime Surveillance
Analysis of Intraday Financial Market Using ML and Neural Networks for GBP/USD Currency Pair Price Forecasting
Advantages of Information Granulation in Clustering Algorithms
Automatic Recognition of Human Activities Combining Model-based AI and Machine Learning
CSP-DC: Data Cleaning via Constraint Satisfaction Problem Solving
Multi-agent Case-based Reasoning Inference Engine Proposal for Reusable Robotics
Interactive Problem-Solving with Humanoid Robots and Non-Expert Users
Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview
Planning Practical Paths for Tentacle Robots
The Dynamics of Semantic Change: A Corpus-Based Analysis
Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
Logic of Awareness in Agent's Reasoning
A Schizophrenic Approach for Intelligent Conversational Agents
Differential Evolution based on Decomposition for Solving Multi-objective Optimization Problems
SwarmPrompt: Swarm Intelligence-Driven Prompt Optimization Using Large Language Models
Natural Language Interface for Goal-Oriented Knowledge Graphs Using Retrieval-Augmented Generation
New Indicator for Centrality Measurements in Passing-network Analysis of Soccer
A Novel Structure for Realizing Goal-directed Behavior
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion
A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis
Speech Emotion Recognition: Methods and Cases Study
Multi-scale Convolutional Neural Networks for the Prediction of Human-virus Protein Interactions
Using Ensemble Models for Malicious Web Links Detection
Explainable AI: A Retrieval-Augmented Generation Based Framework for Model Interpretability
Equation Discovery for Macroeconomic Modelling
Causal Discovery from Big Data - Mission (Im)possible?
DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 1, Online Streaming, February 3-5, 2022
A Leaf Disease Detection Using Machine Learning and Deep Learning: Comparative Study
RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern
Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning
Online Knowledge Gradient Exploration in an Unknown Environment
Developing Image-Based Classification Techniques to Analyse Customer Behaviour
Cognitive Modeling in Computational Rhetoric: Litotes, Containment and the Unexcluded Middle
An Efficient Algorithm to Estimate Real-time Traffic Information based on Multiple Data Sources
The Role of Sequences for Incremental Learning
Grounding a Social Robot's Understanding of Words with Associations in a Cognitive Architecture
CNN-LSTM-CRF for Aspect-Based Sentiment Analysis: A Joint Method Applied to French Reviews
Combining Runtime Diagnosis and AI-planning in a Mobile Autonomous Robot to Achieve a Graceful Degradation after Software Failures
Towards a Theory of Awareness
Parsing by Simple Insertion Systems
Robust Traffic Signal Timing Control using Multiagent Twin Delayed Deep Deterministic Policy Gradients
Mobile Robotic JChoc DisSolver - A Distributed Constraints Reasoning Platform for Mobile Multi-robot Problems
An Agent-based Approach for Smart Energy Grids
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets
Background Image Editing with HyperStyle and Semantic Segmentation
An Ensemble-based Approach by Fine-Tuning the Deep Transfer Learning Models to Classify Pneumonia from Chest X-Ray Images
Agents and Artificial Intelligence - 6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers
Intelligent Diagnosis of Breast Cancer with Thermograms using Convolutional Neural Networks
How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion
Role of Trust in Creating Opinions in Social Networks
CNNs Sparsification and Expansion for Continual Learning
User Perceptions of Communicative and Task-competent Agents in a Virtual Basketball Game
A Logical Characterization of Evaluable Knowledge Bases
A Best-first Backward-chaining Search Strategy based on Learned Predicate Representations
A Computational Model for Visual Metaphors. Interpreting Creative Visual Advertisements
A Continuos Learning for a Face Recognition System
Effective Distribution of Large Scale Situated Agent-based Simulations