yusuke1997/dblp-id-title huggingface dataset:
Probabilistic Plan Recognition for Intelligent Information Agents - Towards Proactive Software Assistant Agents
Providing Accessibility to Hearing-disabled by a Basque to Sign Language Translation System
Learning Probabilistic Subsequential Transducers from Positive Data
Learning about Activities and Objects from Video
Constructing a Non-task-oriented Dialogue Agent using Statistical Response Method and Gamification
Neural Networks Bias Mitigation Through Fuzzy Logic and Saliency Maps
Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach
Reasoning for Autonomous Agents in Dynamic Domains
More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop
Factors Affecting Accuracy in Image Translation based on Generative Adversarial Network
Efficient SAT Encodings for Hierarchical Planning
Building Self-adaptive Systems by Adaptation Patterns Integrated into Agent Methodologies
Using Generic Ontologies to Infer the Geographic Focus of Text
JChoc DisSolver - Bridging the Gap Between Simulation and Realistic Use
Action Duration Generalization for Exact Multi-Agent Collective Construction
Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms
Enhancing Attentive Task Search with Information Gain Trees and Failure Detection Strategies
Development of a Safest Routing Algorithm for Evacuation Simulation in Case of Fire
Situated Agents in Linguistic Contexts
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices
Enhancing Many-Objective Particle Swarm Optimization with Island Model for Agricultural Optimization
Explainability of MLP Based Species Distribution Models: A Case Study
Enhancing Support Vector Decoders by Integrating an Uncertainty Model
Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments
Improved Model of Social Networks Dynamics
A Guidance System for Wide-area Complex Disaster Evacuation based on Ant Colony Optimization
Let's Talk Topically with Artificial Agents! - Providing Agents with Humanlike Topic Awareness in Everyday Dialog Situations
AI-Based Personalized Multilingual Course Recommender System Using Large Language Models
A City-aware Car Parks Marketplace for Smart Parking
B2DI - A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN
System-Call-Level Dynamic Analysis for Code Translation Candidate Selection
Price Drivers in Prediction Markets: An Agent-Based Model of Competing Narratives
Collecting Knowledge and Learning Languages with Towers of Knowledge Game
A 3D Anti-collision System based on Artificial Potential Field Method for a Mobile Robot
Sentiment Analysis of Czech Texts: An Algorithmic Survey
Machine Learning-Driven Monitoring for Early Detection and Management of Prediabetes
Towards More Flexible BDI Agents
A Process for Cots-selection and Mismatches Handling - A Goal-driven Approach
A New Approach based on Cryptography and XML Serialization for Mobile Agent Security
A Unified Approach for Reconciling Characters and Story in the Realm of Agency
XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning
Classification Model for Cerebral Aneurysm Rupture Prediction using Medical and Blood-flow-simulation Data
Tag Recommendation based on User's Behavior in Collaborative Tagging Systems
Conflicting Moral Codes for Self-Driving Cars: The Single Car Case
ForecastBoost: An Ensemble Learning Model for Road Traffic Forecasting
A Novel Partitioning Approach for Real-Time Scheduling of Mixed-Criticality Systems
Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model
Tiered Logic for Agents
Metrics for Popularity Bias in Dynamic Recommender Systems
MobEx: A System for Exploratory Search on the Mobile Web
Lazy Nested Monte Carlo Search for Coalition Structure Generation
Beyond Compute: A Weighted Framework for AI Capability Governance
Word Segmentation based on Hidden Markov Model using Markov Chain Monte Carlo Method
Analysis of Feature Representations for Anomalous Sound Detection
Intelligent Health & Mission Management Architecture for Autonomous and Resilient Distributed Space Systems
Safe Policy Improvement Approaches and Their Limitations
Efficient Symbolic Supervisory Synthesis and Guard Generation - Evaluating Partitioning Techniques for the State-space Exploration
Generating and Instantiating Abstract Workflows with QoS User Requirements
The Intelligent Web
Building a Risk Profile for Detecting Terrorism Financing
An Approach for Improving Oversampling by Filtering out Unrealistic Synthetic Data
Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning
Discrete Multi-agent Plan Recognition: Recognizing Teams, Goals, and Plans from Action Sequences
JaCa-MM: A User-centric BDI Multiagent Communication Framework Applied for Negotiating and Scheduling Multi-participant Events - A Jason/Cartago Extension Framework for Diary Scheduling Events Permitting a Hybrid Combination of Multimodal Devices based on a Microservices Architecture
Fine-Grained Clustering of Social Media: How Moral Triggers Drive Preferences and Consensus
Post Flash Crash Recovery: An Agent-based Analysis
Agent based Modeling and System Dynamics in Healthcare Modeling Two Stage Preventive Medical Checkup Systems
Negotiation in Ride-hailing between Cooperating BDI Agents
Single-walk Parallelization of the Genetic Algorithm
Multi-agent Systems for Estimating Missing Information in Smart Cities
EMTE: An Enhanced Medical Terms Extractor Using Pattern Matching Rules
A Graph-based Disambiguation Approach for Construction of an Expert Repository from Public Online Sources
SimPatrol - Towards the Establishment of Multi-Agent Patrolling as a Benchmark for Multi-Agent Systems
Learning to Run a Marathon: Avoid Overfitting to Speed
Ontologies for Authoring, or Authoring Ontologies?
Skyline Computation on Commercial Data
Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves
Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach
Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy
Shifts of Attention During Spatial Language Comprehension - A Computational Investigation
LACNN: A Deep Learning Model for Persian Question Analysis
Group Recommender Systems - Some Experimental Results
Turning Artificial Neural Networks into a Marketing Science Tool - Modelling and Forecasting the Impact of Sales Promotions
Power Storage on the Smart Grid: Experimentation and Education
Updating Technique for Particle Swarm Optimization in Nonlinear Dynamic Systems
On kNN Classification and Local Feature Based Similarity Functions
Cooperative Multi-agent Approach for Computational Systems of Systems Architecting
Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification
Exploring Patterns and Assessing the Security of Pseudorandom Number Generators with Machine Learning
Design of an Autonomous Distributed Multi-agent Mission Control System for a Swarm of Satellites
Application of Large Language Models and ReAct Prompting in Policy Evidence Collection
Parallel Possibility Results of Preference Aggregation and Strategy-proofness by using Prolog
Ontology Design for Task Allocation and Management in Urban Search and Rescue Missions
Combining Artificial Intelligence Techniques for the Training of Power System Control Centre Operators
Outlier Detection in MET Data Using Subspace Outlier Detection Method
Optimal Decision Making in Agent-based Autonomous Groupage Traffic
A Hierarchical Book Representation of Word Embeddings for Effective Semantic Clustering and Search
Towards Circular and Asymmetric Cooperation in a Multi-player Graph-based Iterated Prisoner's Dilemma
Agentic AI for Behavior-Driven Development Testing Using Large Language Models
Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position
Modeling Uncertainty in Support Vector Surrogates of Distributed Energy Resources - Enabling Robust Smart Grid Scheduling
Speeding up the Search of a Global Dynamic Equilibrium from a Local Cooperative Decision
From Study of Human-human Dialogues to Reasoning Model - Conversational Agent in Argumentation Dialogue
Strengthening Low-resource Neural Machine Translation through Joint Learning: The Case of Farsi-Spanish
Dynamic Lot Sizing in a Self-organizing Production
Handling Default Data under a Case-based Reasoning Approach
Parameter Setting in SAT Solver using Machine Learning Techniques
Predicting Bursting Strength of Plain Knitted Fabrics using ANN
A Multiagent Based Approach to Money Laundering Detection and Prevention
A Formalization of Generalized Parameters in Situated Information
Parameterized Mapping Distances for Semi-Structured Data
A Self-adaptive Module for Cross-understanding in Heterogeneous MultiAgent Systems
Compiling Possibilistic Networks to Compute Learning Indicators
Variants of Independence Detection in SAT-Based Optimal Multi-agent Path Finding
Acyclic Recursion with Polymorphic Types and Underpecification
Drone Surveillance in Extreme Low Visibility Conditions
Learning, Agents and Formal Languages - State of the Art
Action-Based Intrinsic Reward Design for Cooperative Behavior Acquisition in Multi-Agent Reinforcement Learning
Cooperative Replies to Unbelievable Assertions - A Dialogue Protocol based on Logical Interpolation
Deceptive AI Explanations: Creation and Detection
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification
Reflections on Neurocomputational Reliabilism
Incremental Feature Learning for Fraud Data Stream
sp X-Machines: Formal State-Based Modelling of Spatial Agents
An Intelligent Tutoring System for Operators' Training in Power System Control Centres
Whale Optimization-based Prediction for Medical Diagnostic
The Dynamics of Narrow-minded Belief
VoronoiPatches: Evaluating a New Data Augmentation Method
LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control
On the Effects of Team Size and Communication Load on the Performance in Exploration Games
Predicting the Intended Action using Internal Simulation of Perception
Question and Answer Classification in Czech Question Answering Benchmark Dataset
Analogy-based Matching Model for Domain-specific Information Retrieval
Social Cognition in Silica - A ‘Theory of Mind' for Socially Aware Artificial Minds
Conjugate Gradient for Latent Space Manipulation
ERAM - Evacuation Routing using Ant Colony Optimization over Mobile Ad Hoc Networks
Description Plausible Logic Programs for Stream Reasoning
Contextual Action with Multiple Policies Inverse Reinforcement Learning for Behavior Simulation
Artificial Intelligence Algorithms to Predict College Students' Dropout: A Systematic Mapping Study
LSTM Neural Networks for Transfer Learning in Online Moderation of Abuse Context
Cooperative Multi-agent Systems for the Multi-target $$\upkappa $$-Coverage Problem
A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems
Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
Bioinspired Soft Robotics: Nature-inspired Solutions for Artificial Intelligent Systems
A Coalition based Incentive Mechanism for P2P Content Distribution Systems
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, ICAART 2017, Volume 1, Porto, Portugal, February 24-26, 2017
Scaling Multi-Frame Transformers for End-to-End Driving
A Heuristic Automatic Clustering Method Based on Hierarchical Clustering
Markov Logic Network for Metaphor Set Expansion
Pareto-based Soft Arc Consistency for Multi-objective Valued CSPs
Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling
On the Prediction of a Nonstationary Geometric Distribution Based on Bayes Decision Theory
Q-Credit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning
Multiagent Planning by Plan Set Intersection and Plan Verification
Software Requirements Prioritisation Using Machine Learning
Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding
A Deep Analysis for Medical Emergency Missing Value Imputation
Exploring the Impact of Competing Narratives on Financial Markets I: An Opinionated Trader Agent-Based Model as a Practical Testbed
A Multiagent Semantics for the Game Description Language
Measuring Student Emotions in an Online Learning Environment
Improving the Sum-of-Cost Methods for Reduction-Based Multi-Agent Pathfinding Solvers
Affective Blog Analyzer - What People Feel to
Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping
Predictive Control for Trajectory Tracking and Decentralized Navigation of Multi-agent Formations
Investigation of MAPF Problem Considering Fairness and Worst Case
Online HTN Planning for Data Transfer and Utilization Considering Legal and Ethical Norms: Case Study
Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs
Identifying Depression Clues using Emotions and AI
Multi Platform-Based Hate Speech Detection
Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups
The Complexity of Social Media Response: Statistical Evidence for One-dimensional Engagement Signal in Twitter
Distinguishing AI from Male/Female Dialogue
Predicting Trains Delays using a Two-level Machine Learning Approach
Conflict Handling Framework in Generalized Multi-agent Path finding: Advantages and Shortcomings of Satisfiability Modulo Approach
Generating Products Placement in Warehouse Using BLPSO and MIQCPs
A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams
Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data
Intelligent Tiles - Putting Situated Multi-Agents Models in Real World
An Efficient Approach based on BERT and Recurrent Neural Network for Multi-turn Spoken Dialogue Understanding
Facilitating Multi-agent Coalition Formation in Self-interested Environments
Modelling Attitudes of Dialogue Participants - Reasoning and Communicative Space
Proposal of a Cosmetic Product Recommendation Method with Review Text that is Predicted to Be Write by Users
Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique
Popularity Prediction for New and Unannounced Fashion Design Images
Imperfect Oracles: The Effect of Strategic Information on Stock Markets
Optimal Distribution of CNN Computations on Edge and Cloud
Decision Making based on Duality between Positive and Negative Evaluations
Qualitative Possibilistic Decisions: Decomposition and Sequential Decisions Making
Supervised Hardware/Software Partitioning Algorithms for FPGA-based Applications
Dancing Guide: Near Realtime Audio Classification of Live Dance Music on Smartphones
Optimized Delivery of On-line Advertisements - A Linear Programming Approach to the Delivery of On-line Advertisements
Modal Specifications for Composition of Agent Behaviors
Decomposition Tehniques for Solving Frequency Assigment Problems (FAP) - A Top-Down Approach
A Local Active Learning Strategy by Cooperative Multi-Agent Systems
Generative Locomotion Model of Snake Robot with Hierarchical Networks for Topological Representation
Adaptive-Aggressive Traders Don't Dominate
Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using Norms
simπ: A Concept Similarity Measure under an Agent's Preferences in Description Logic ELH
Diverse Level Generation for Tile-Based Video Game using Generative Adversarial Networks from Few Samples
Automatic Facility Layout Design System Using Deep Reinforcement Learning
Query-by-Emotion Sketch for Local Emotion-based Image Retrieval
Action-Driven Perception for a Humanoid
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure
Leveraging Event Marketing Performance using AI in Facial Recognition
Exploratory Search on the Mobile Web
Modelling and Reasoning with Uncertain Event-observations for Event Inference
Embedded Incremental Feature Selection for Reinforcement Learning
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, ICAART 2019, Volume 2, Prague, Czech Republic, February 19-21, 2019
Pre-processing Tasks for Rule-based English-Korean Machine Translation System
Secure Multi-agent Planning via Sharemind
Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments
Distribution Data Across Multiple Cloud Storage using Reinforcement Learning Method
Extracting Case-based Answers from Closed Proof-trees
Influence of Norms on Decision Making in Trusted Desktop Grid Systems - Making Norms Explicit
Measuring the Performance of Push-ups - Qualitative Sport Activity Recognition
Transfer Learning in Deep Reinforcement Learning: Actor-Critic Model Reuse for Changed State-Action Space
Designing a Flexible Supply Chain Network with Autonomous Agents
A Comparative Study of Different Image Features for Hand Gesture Machine Learning
AutoGE: A Tool for Estimation of Grammatical Evolution Models
Towards Multi-View Hand Pose Recognition Using a Fusion of Image Embeddings and Leap 2 Landmarks
Conflict Resolution of Production-marketing Collaborative Planning based on Multi-Agent Self-adaptation Negotiation
Using Neural Network Architectures for Intraday Trading in the Gold Market
Ontology-based Access Control Management: Two Use Cases
Developing and Experimenting on Approaches to Explainability in AI Systems
Is Noise Reduction Improving Open-Source ASR Transcription Engines Quality?
Strategy Composition in Dynamic Games with Simultaneous Moves
On Complexity of Verifying Nested Workflows with Extra Constraints
Modeling and Algorithm for Dynamic Multi-objective Weighted Constraint Satisfaction Problem
Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents
Smart Solutions Multi-agent Platform for Dynamic Transportation Scheduling
A Study on Drug Similarity Measures for Predicting Drug-Drug Interactions and Severity Using Machine Learning Techniques
A Conditional Game-Theoretic Approach to Cooperative Multiagent Systems Design
Where are you From? - Tell Me HOW you Write and I Will Tell you WHO you are
Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment
Evaluation of a User-adapted Spoken Language Dialogue System - Measuring the Relevance of the Contextual Information Sources
Knowledge Injection to Neural Networks with Progressive Learning Strategy
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data
Agent-based Simulation of Social Learning in Criminology
ConEX: A Context-Aware Framework for Enhancing Explanation Systems
Checking Models for Activity Recognition
Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages
Conceptual Autonomy of Agents
Knowledge-based Analysis of Residential Air Quality
Improving Active Attitude for Interactive Decision-making with Multiple Agents by Increasing Personal Resource
Incremental Learning for Real-time Partitioning for FPGA Applications
Simulations of a Computational Model for a Virtual Medical Assistant
Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision
Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels
Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future Prospects
Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples
A Belief Approach for Detecting Spammed Links in Social Networks
On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline
Adding Time and Subject Line Features to the Donor Journey
The Application of Learning Theories into Abdullah: An Intelligent Arabic Conversational Agent Tutor
New Techniques for Checking Dynamic Controllability of Simple Temporal Networks with Uncertainty
Creativity of Deep Learning: Conceptualization and Assessment
A Linguistic Group Decision Making Method based on Distances
Can We Detect Harmony in Artistic Compositions? A Machine Learning Approach
Epistemic Reasoning for Ambient Intelligence
Integration Between Agents and Remote Ontologies for the Use of Content on the Semantic Web
Abstract Dialectical Frameworks for Text Exploration
An Ontology-based Approach for Building and Querying ICH Video Datasets
A Knowledge-based System for Risks Evaluation on Software Projects Viability
The AIS Project: Boosting Information Extraction from Legal Documents by using Ontologies
Masked Hard Coverage Mechanism on Pointer-generator Network for Natural Language Generation
SpCD - Spatial Color Distribution Descriptor - A Fuzzy Rule based Compact Composite Descriptor Appropriate for Hand Drawn Color Sketches Retrieval
A Particle Swarm Optimizer for Solving the Set Partitioning Problem in the Presence of Partitioning Constraints
Incident and Problem Management using a Semantic Wiki-enabled ITSM Platform
Leveraging Embedding Vectors of Aggregate Images for Particle Size Distribution Estimation and Concrete Compressive Strength Prediction
Combining Model Ensembles for Multi-step Forecasts Using the Example of Flood Levels
Possibilistic Activity Recognition
The Non-Force Interaction Theory for Reflex System Creation with Application to TV Voice Control
Commonsense Reasoning in a Deeper Way: By Discovering Relations between Predicates
Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification
Modeling Post-level Sentiment Evolution in Online Forum Threads
Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM
Detecting Bidding Fraud using a Few Labeled Data
Action Preparation and Replanning in Manipulation
An Efficient Translation Scheme for Representing Nurse Rostering Problems as Satisfiability Problems
Spread and (Mis)use of Evaluative Expressions in Human Written and LLM-Based Generated Text
A Graph-search Approach on Resource-constrained Scheduling Problems and its Application to Advanced Driver Assistance Systems
Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts
Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding
A Multi-level Model of Motivations and Valuations for Cognitive Agents
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem
Experimenting with Planning and Reasoning in Ad Hoc Teamwork Environments with Large Language Models
EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval
Hints of Independence in a Pre-scripted World: On Controlled Usage of Open-domain Language Models for Chatbots in Highly Sensitive Domains
A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour
Early Detection of Harmful Algal Blooms Using Majority Voting Classifier: A Case Study of Alexandrium Minutum, Pseudo-Nitzschia Australis and Pseudo-Nitzschia Fraudulenta
Discrete and Continuous Deep Residual Learning over Graphs
Allocation Considering Agent Importance in Constrained Robust Multi-Team Formation
Generating Safe Policies for Multi-Agent Path Finding with Temporal Uncertainty
Prediction of Learning Improvement in Mathematics through a Video Game using Neurocomputational Models
Multi-Agent Systems' Negotiation Protocols for Cyber-Physical Systems: Results from a Systematic Literature Review
Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the German and French Market Area