yusuke1997/dblp-id-title huggingface dataset:
A Vector Autoregression Model for Depicting the Relation Between Labour Market Economic Indicators and Real Wages in the United States Manufacturing Sector
Computational Logic as an Intelligent Agent's Language of Thought
Continuous Quantum Reinforcement Learning for Robot Navigation
Trusted Community - A Trust-based Multi-Agent Organisation for Open Systems
Modelling Agents in Industry 4.0 Applications Using Asset Administration Shell
Evolutionary Fuzzy Rule Construction for Iterative Object Segmentation
Twisted Strategy Bolsters Minority Cooperator Populations
Evaluation of Trust Policies by Simulation
Getting Agents to Tell the Truth
Modelling Social Learning of Adolescence-Limited Criminal Behaviour
Artificial Neural Networks Applied to an Agent Acting in CDA Auctions in TAC
A Smart Home Testbed for Evaluating XAI with Non-experts
Can Fuzzy Decision Support Link Serial Serious Crime?
Uncertain Formal Concept Analysis for the Study of a Text Corpus
Quantified Epistemic and Probabilistic ATL
Control and Delegation
Quantifying Student Attention using Convolutional Neural Networks
Artificial Conversational Companions - A Requirements Analysis
Reactive Layer in AGI Agent - Implementation of Adaptive Reactive Behavior and Beyond
Overhearing in Financial Markets - A Multi-agent Approach
Training Radial Basis Function Networks by Genetic Algorithms
A Game Playing Robot that can Learn a Tactical Knowledge through Interacting with a Human
Enabling Semantic User Context to Enhance Twitter Location Prediction
Auction Model of P2P Interaction in Multi-Agent Software
A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses
Locating Information-hiding in MP3 Audio
A 3D Indoor Pedestrian Simulator using a Spatial DBMS
Learning Tasks in Robotics: Problems and Solutions
Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
DataZapper: Generating Incomplete Datasets
XQuake - An XQuery-like Language for Mining XML Data
Optimizing Theta Model for Monthly Data
The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines
Opponent-based Tactic Selection for a First Person Shooter Game
Quantitative Performance Analysis from Discrete Perspective: A Case Study of Chip Detection in Turning Process
Search for Robust Policies in Reinforcement Learning
Compressing UNSAT Search Trees with Caching
Enabling Semantic Resources in the Cloud
Impact of Pinging in Financial Markets: An Agent Based Study
Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features
HNAS: Hyper Neural Architecture Search for Image Segmentation
A Meta Constraint Satisfaction Optimization Problem for the Optimization of Regular Constraint Satisfaction Problems
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
Combining Procedural Generation and Genetic Algorithms to Model Urban Growth
Prediction in Pre-University Education System Using Machine Learning Methods
Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks
Is Amazon Kinesis Data Analytics Suitable as Core for an Event Processing Network Model?
Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
Neural Networks for the Modeling of Concentration of Chemicals
A Comparative Study between Possibilistic and Probabilistic Approaches for Query Translation Disambiguation
ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19 - 21, 2009
Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
Multi-Agent Goal Reasoning with the CLIPS Executive in the RoboCup Logistics League
Analysis of the Continuous Effects of Assertive Feedback from a Job Interview Training Agent
Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour
Improving Query Expansion by Automatic Query Disambiguation in Intelligent Information Retrieval
Automated Acquisition of Action Knowledge
Question Difficulty Decision for Automated Interview in Foreign Language Test
Document Relation Analysis based on Compressibility Vector
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification
Smart Device Stealing and CANDIES
SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings
Classification of Deformable Geometric Shapes - Using Radial-Basis Function Networks and Ring-wedge Energy Features
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction from Large Contexts
Smart Household - Selected Problem Solutions using Intelligent Controllable Electric Appliances
Stability and Optimality in Matching Problems with Weighted Preferences
Comparing Global and Local Weights in Multi-Criteria Decision-Making: A COMET-Based Approach
Statistical Model Checking for Probabilistic Temporal Epistemic Logics
A Method of Conceptual Modelling for Realistic Training Scenarios
RDC-Repair: Towards a Relevance-Driven Approach for Data and Constraints Repair
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
Comparing Elementary Cellular Automata Classifications with a Convolutional Neural Network
Generating Reactive Robots' Behaviors using Genetic Algorithms
A Conceptual Study of Model Selection in Classification - Multiple Local Models vs One Global Model
When Are 1.58 Bits Enough? A Bottom-up Exploration of Quantization-Aware Training with Ternary Weights
Surface Roughness Modelling and Optimization in CNC End Milling using Taguchi Design and Neural Networks
How Fine Tuning Affects Contextual Embeddings: A Negative Result Explanation
Adaptive Serendipity for Recommender Systems: Let It Find You
ReCon: An Online Task ReConfiguration Approach for Robust Plan Execution
Detection of Discriminating Rules
Towards Domain-independent Biases for Action Selection in Robotic Task-planning under Uncertainty
Trusting Different Information Sources in a Weather Scenario: A Platform for Computational Simulation
Adjusting Word Embeddings by Deep Neural Networks
An Asymetric-key Cryptosystem based on Artificial Neural Network
Knowledge-Aware Object Detection in Traffic Scenes
The Effect of Laziness on Agents for Large Scale Global Optimization
Thinking With Containers: A Multi-Agent Retrieval Approach for the Case-Based Semantic Search of Architectural Designs
Ranking Functions for Belief Change - A Uniform Approach to Belief Revision and Belief Progression
Human Activity Recognition - Using Sensor Data of Smartphones and Smartwatches
Semantic Interoperability for Web Services based Smart Home Systems
The Winograd Schema Challenge: Are You Sure That We Are on the Right Track?
A Bayesian Method for the Detection of Epistasis in Quantitative Trait Loci using Markov Chain Monte Carlo Model Composition with Restricted Model Spaces
Belief Re-Use in Partially Observable Monte Carlo Tree Search
Dynamic JChoc: A Distributed Constraints Reasoning Platform for Dynamically Changing Environments
Designing New Data Replication Strategies Automatically
Concise Finite-Domain Representations for Factored MA-PDDL Planning Tasks
A Comprehensive Analysis of Parkinson's Disease Detection Through Inertial Signal Processing
Constraint-Based Optimization for Scheduling Medical Appointments
An Effective Method to Answer Multi-hop Questions by Single-hop QA System
Generative AI for Islamic Texts: The EMAN Framework for Mitigating GPT Hallucinations
Actuation-based Shape Representation Applied to Engineering Document Analysis
Emotional Facial Expression Recognition from Two Different Feature Domains
Adaptive State Space Abstraction Using Neuroevolution
Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance
Experiments Assessing Learning of Agent Behavior using Genetic Programming with Multiple Trees
Decision Making in Complex Systems with an Interdisciplinary Approach
A MAS-based Negotiation Mechanism to Deal with Saturated Conditions in Distributed Environments
Complex Character - Model for a Non Player AI Character for Interactive Narrative Discourse
Comparative Analysis of the Efficacy in the Classification of Cognitive Distortions Using LLMs
Neural Hidden Markov Model
Predicting Temperament using Keirsey's Model for Portuguese Twitter Data
Detecting Adversarial Examples in Deep Neural Networks using Normalizing Filters
A Design of the ViaBots Model for Industrial Assembly Line Application
Clustering Data with Temporal Evolution: Application to Electrophysiological Signals
A Probabilistic Theory of Abductive Reasoning
Parkinson's Disease Detection Through Inertial Signals and Posture Insights
Constrained CP-nets Similarity
A Formal Framework for Designing Boundedly Rational Agents
Social Behavior Investigation of an Intelligent Virtual Agent with the Help of Typical Working Student's Life Scenario Modeling
Deep Learning Policy Quantization
Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning
Formalizing Virtual Organizations
Classification of Complaints Text Data by Ensembling Large Language Models
Efficient Online Feature Selection based on ℓ1-Regularized Logistic Regression
Parallel and Distributed Epirust: Towards Billion-Scale Agent-Based Epidemic Simulations
Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure
Bio-Inspired AI for Autonomous Systems
A 3D Indoor Pedestrian Simulator Using an Enhanced Floor Field Model
Molecular Fragments from Incomplete, Real-life NMR Data: Framework for Spectra Analysis with Constraint Solvers
Movie Recommendation with K-means Clustering and Self-organizing Map Methods
Multi Robot Surveillance and Planning in Limited Communication Environments
Towards a Biologically-Plausible Computational Model of Human Language Cognition
A Robust Probabilistic Framework for Identifying and Evaluating Concept Drift in Abrupt and Gradual Scenarios
CogToM: A Cognitive Architecture Implementation of the Theory of Mind
On the Prediction of a Nonstationary Exponential Distribution Based on Bayes Decision Theory
Zero Trust for Intrusion Detection System: A Systematic Literature Review
Towards a Query Translation Disambiguation Approach using Possibility Theory
Better Spacial Hashing with Linear Memory Usage and Parallelism
Enhanced Credit Card Fraud Detection Using Federated Learning, LSTM Models, and the SMOTE Technique
The Multi-Agent Planning Problem
Modeling of Emotional Influence in Multiagent System
Multi-class Motor Imagery EEG Classification using Convolution Neural Network
A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
Robot Cognition using Bayesian Symmetry Networks
A Polynomial Algorithm for Merging Lightweight Ontologies in Possibility Theory Under Incommensurability Assumption
A Tree Learning Approach to Web Document Sectional Hierarchy Extraction
Generating Phonemes from Written Thai using Lexical Analysis based on Regular Expressions
A Pattern Approach to Modeling the Provider Selection Problem
Towards Simulating Heterogeneous Drivers with Cognitive Agents
An Inspection Technique Proposal for the Verification of Requirements Specification Documents for Multi-Agent Systems
An Agent-oriented Ground Vehicle's Automation using Jason Framework
Defining Virtual Organizations Following a Formal Approach
Triggering Rules for Conversational Agents in Trading Situations
Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks
Soft Control of Swarms - Analytical Approach
Towards a Framework for Management of Strategic Interaction
A 20-Year Roadmap for AI Research
Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence
Utterance Behavior of Users While Playing Basketball with a Virtual Teammate
A Local-global Model for Multiagent Systems - Sheaves on the Category MAS
Identifying Soft Cores in Propositional Formulæ
Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques
A Cross-lingual Part-of-Speech Tagging for Malay Language
Mind Design - Thinking on Moral Issues
Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
Fuzzy Contagion Cascades in Financial Networks
An Interpretable Machine Learning Approach for Identifying Occupational Stress in Healthcare Professionals
Relational Sequence based Classification in Multi-agent Systems
On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak
Market Impact in Trader-agents: Adding Multi-level Order-flow Imbalance-sensitivity to Automated Trading Systems
Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level
Centralised Urban Traffic Routing Using Mixed-Integer Programming
Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations
Research and Development of Conscious Robot - Mirror Image Cognition Experiments using Small Robots
Fast Heuristic for Ricochet Robots
Multi-agent Polygon Formation using Reinforcement Learning
Solving PCSPs Using Genetic Algorithms Guided by Structural Knowledge
Integrating Late Variable Binding with SP-MCTS for Efficient Plan Execution in BDI Agents
Generating Commonsense Ontologies with Answer Set Programming
Solving Job Shop Problems with Neural Monte Carlo Tree Search
Performance Assessment of Neural Radiance Fields (NeRF) and Photogrammetry for 3D Reconstruction of Man-Made and Natural Features
Automated Acquisition of Control Knowledge for Classical Planners
Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models
Mitigating Rare but Catastrophic Events Through Distributed Dynamic Evacuation Guidance Using Stochastic Multi-objective Risk Method
Logic + Reinforcement Learning + Deep Learning: A Survey
Automatic Analysis of App Reviews Using LLMs
Querying Social Practices in Hospital Context
Mobile Agents for Robot Control based on PSO
LSTM-based System for Multiple Obstacle Detection using Ultra-wide Band Radar
From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions
Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations
Semantic Social Network Analysis Foresees Message Flows
Managing Combinatorial Optimization Problems by Means of Evolutionary Computation and Multi-agent System
Refining High-Quality Labels Using Large Language Models to Enhance Node Classification in Graph Echo State Network
A "Context Evaluator" Model for a Multimodal user Interface in Driving Activity
A Split-Merge Evolutionary Clustering Algorithm
Turn-Based Multi-Agent Reinforcement Learning Model Checking
Mobile Agents-Based Framework for Dynamic Resource Allocation in Cloud Computing
Toward Information Sharing of Natural Disaster: Proposal of Timeline Action Network
A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification
Computer Modeling of the Dynamics of Interregional Freight Transport Depending on Macroeconomic Indicators
Improved Encoding of Possibilistic Networks in CNF Using Quine-McCluskey Algorithm
New Extended and Quantified Constraints in XML Schema
Language Identification of Similar Languages using Recurrent Neural Networks
MASITS Methodology Supported Development of Agent Based Intelligent Tutoring System MIPITS
Ontology-based Information Extraction from Technical Documents
Speech Perception and Implementation in a Virtual Medical Assistant
Which Objective Function is Solved Faster in Multi-Agent Pathfinding? It Depends
Implementation of a Memetic Algorithm to Optimize the Loading of Kilns for the Sanitary Ware Production
Leveraging Machine Learning in American Sign Language Recognition
Reasoning about Bounded Time Domain - An Alternative to NP-Complete Fragments of LTL
Enhancing Visual Clustering Using Adaptive Moving Self-Organizing Maps (AMSOM)
Design of Communication and Control for Swarms of Aquatic Surface Drones
Who Are You? - On the Acquisition of Information about People for an Agent that Remembers
Differential Weight and Population Size of PRDE Traders: An Analysis of Their Impact on Market Dynamics
Towards Simulated Morality Systems: Role-Playing Games as Artificial Societies
NewsRecs: A Mobile App Framework for Conducting and Evaluating Online Experiments for News Recommender Systems
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
Machine Floriography: Sentiment-inspired Flower Predictions over Gated Recurrent Neural Networks
A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines
Cooperative Evacuation Guidance Methods in Large-Scale Disaster Situations Based on Wi-Fi Sensing Data
Ensemble of Patches for COVID-19 X-Ray Image Classification
Agent based Framework to Simulate Inhabitants' Behaviour in Domestic Settings for Energy Management
Social Implications of OCEAN Personality: An Automated BERT-Based Approach
Cluster Analysis of Twitter Data: A Review of Algorithms
Variance Reduction of Resampling for Sequential Monte Carlo
Developing Goal-Oriented Normative Agents: The NBDI Architecture
SLPRNet: A 6D Object Pose Regression Network by Sample Learning
Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
Estimate Reference Evapotranspiration Using Machine Learning Methods
Timeline Planning in the J-TRE Environment
Adversarial Reinforcement Learning in a Cyber Security Simulation
Task Allocation in Multi-robot Systems - A Distributed Computation of a Satisfaction Measurement based Approach
Genetic Algorithm for Clustering Temporal Data - Application to the Detection of Stress from ECG Signals
Bayesian Networks based Policy Making in the Renewable Energy Sector
Investigation of Heuristics for PIBT Solving Continuous MAPF Problem in Narrow Warehouse
Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market
Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks
Sequential Counter Encoding for Staircase At-Most-One Constraints
One-Step or Two-Step Optimization and the Overfitting Phenomenon - A Case Study on Time Series Classification
Government's Response to Ethical Dilemmas in Autonomous Vehicle Accidents: An Australian Policy Evaluation
Past, Present and Future of Ambient Intelligence and Smart Environments
Can Machine Learning Predict Soccer Match Results?
Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
Augmenting Reinforcement Learning to Enhance Cooperation in the Iterated Prisoner's Dilemma
A Probabilistic Semantics for Cognitive Maps
FedKD4DD: Federated Knowledge Distillation for Depression Detection
Dynamic Resource Allocation through Semi-structured Adaptation
I-AM-Bird: A Deep Learning Approach to Detect Amazonian Bird Species in Residential Environments
Trust-based Personal Information Management in SOA
VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems
Towards an Integrative Methodology for Developing Multi-Agent Systems
Dynamic Agent-based Network Generation
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
Tiered Logic for Agents in Contexts
Clustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation
Learning Optimal Behavior in Environments with Non-stationary Observations
Manufacturing Control in Job Shop Environments with Reinforcement Learning
Negative Selection in Classification using DBLOSUM Matrices as Affinity Function
CogToM-CST: An implementation of the Theory of Mind for the Cognitive Systems Toolkit
Recursive Reductions of Internal Dependencies in Multiagent Planning
A Constructivist Approach to Rule Bases
Inconsistency and Sequentiality in LTL
Computing Inconsistency Using Logical Argumentation
Predicting user Activities in the Sequence of Mobile Context for Ambient Intelligence Environment using Dynamic Bayesian Network
Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion
A Novel Metric for Measuring Data Quality in Classification Applications
ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning
Evaluating and Improving End-to-End Systems for Knowledge Base Population
Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Indoor Environments with Surmountable Obstacles
Dealing with Coalition Formation in the RoboCup Rescue - An Heuristic Approach
Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments
Unsupervised Activity Recognition Using Trajectory Heatmaps from Inertial Measurement Unit Data
Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph
An Autonomous Resiliency Toolkit for Cyber Defense Platforms
Level of Detail based AI Adaptation for Agents in Video Games
Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent Patrol Problems
An Agent-based Optimization Approach for Distributed Project Scheduling in Supply Chain with Partial Information Sharing
Emotion Selection in a Multi-Personality Conversational Agent
Networks of Evolutionary Processors - A Historical Account
Using Process Calculi for Plan Verification in Multiagent Planning
Agent-based Simulations of Patterns for Self-adaptive Systems
Towards User-Centred Validation and Calibration of Agent-Based Models
Social Transmission of Information through Virtual Robotic Agents
An Empirical Heuristic Algorithm for Solving the Student-Project Allocation Problem with Ties
Generation of Multiple Choice Questions Including Panoramic Information using Linked Data
A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment
A Machine Learning Approach for Spare Parts Lifetime Estimation
Cognitively Motivated Episodic Memory for a Virtual Guide
Solving Distributed Constraint Optimization Problems - An Evolutionary Approach
Agents and Artificial Intelligence - Second International Conference, ICAART 2010, Valencia, Spain, January 22-24, 2010. Revised Selected Papers
Face Recognition under Real-world Conditions
Goal-based Adversarial Search - Searching Game Trees in Complex Domains using Goal-based Heuristic
ScaPMI: Scaling Parameter for Metric Importance
Agency Services - An Agent-based and Services-oriented Model for Building Large Virtual Communities
An Event Metric and an Episode Metric for a Virtual Guide
Semantic Anonymisation of Set-valued Data
A New Approach to Probabilistic Knowledge-Based Decision Making
Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System
A Multi-agent MPC Architecture for Distributed Large Scale Systems
Learning Peg-In-Hole Actions with Flexible Objects
Detecting Parkinson's Disease Using the Spiral and Wave Drawing Test by Means of Explainable Deep Learning
X-Ray Classification to Detect COVID-19 using Ensemble Model
Improving RNN-based Answer Selection for Morphologically Rich Languages
Agent-based Manufacturing in a Production Grid - Adapting a Production Grid to the Production Paths
Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets
Weight Re-mapping for Variational Quantum Algorithms
Estimation of Reward Function Maximizing Learning Efficiency in Inverse Reinforcement Learning
COHDA: A Combinatorial Optimization Heuristic for Distributed Agents
Agents and Multi-agent Systems as Actor-networks
Combining Strengths of Optimal Multi-Agent Path Finding Algorithms
Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis
Self-Consciousness Cannot Be Programmed