yusuke1997/dblp-id-title huggingface dataset:
Welcome from the General Chair ICTAI 2025
Toward Human-Level Machine Intelligence
Few-Shot Learning for Monocular Depth Estimation Based on Local Object Relationship
A VLSI system for difference picture-based motion analysis
Multiobjective design optimization of counterweight balancing of a robot arm using genetic algorithms
Knowledge Based Mechanisms for Tutoring Systems in Science and Engineering
A Scalable Distributed Heterogeneous Associative Logic Programming System
RL4: a tool for knowledge-based induction
An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video
Flexible Expert Finding on the Web via Semantic Hypergraph Learning and Affinity Propagation Model
Face Detection and Its Applications in Intelligent and Focused Image Retrieval
The Link Prediction Problem under a Belief Function Framework
WAVE: Wave Agents in a Virtual Environment - A Proof of Concept Applied to Longitudinal Distance Regulation in Platoon Control
Multi-Agent Feature Learning and Integration for Mixed Cooperative and Competitive Environment
Dimensionality Reduction of Unsupervised Data
A knowledge-base design and application prototyping tool based on an enhanced functional data model
Classification in DLMS Utilizing a KL-ONE Representation Language
Communication in Massively-Parallel SAT Solving
Improving Learner Performance with Data Sampling and Boosting
An Epidemic Model for News Spreading on Twitter
Bundling n-Stars in Polygonal Maps
Taking Advantage of a Very Simple Property to Efficiently Infer NFAs
A Constructivist Approach to Tense and Aspect: From Text to Polytyped Strings
Deep Unsupervised Progressive Learning for Distant Domain Adaptation
Impact of Categorical Variable Encodings on Bayesian Optimization Performance
Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation
Latent Process Model for Manifold Learning
Fuzzy Classifiers for Chemical Compound Recognition from SAW Sensors Signals
On Propositional Encodings of Cooperative Path-Finding
Fashion Landmark Detection via Deep Residual Spatial Attention Network
A Generic Task Strategy for Solving Routine Decision Making Problems
Using case-based reasoning as a reinforcement learning framework for optimisation with changing criteria
Personalized EntityRank-Based Entity Linking with DBpedia
A Dirichlet Policy Reuse Approach for Financial Markets
Fed-VFDT: Federated Very Fast Decision Trees with Coordinated Splitting Over Data Streams
Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers
An Object-Oriented Approach to Visual Database
An On-Line Repository for Embedded Software
Adaptive Lookahead for Answer Set Computation
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
Deep Networks and Continuous Distributed Representation of Protein Sequences for Protein Quality Assessment
Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection
Subspace-Focused Search Method for Optimal Coalition Structure Generation
Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning
Integrating an Adjusted Conversational Agent into a Mobile-Assisted Language Learning Application
Which Users Reply to and Interact with Twitter Social Bots?
5M-Building: A Large-Scale High-Resolution Building Dataset with CNN Based Detection Analysis
Vehicle Damage Detection based on MD R-CNN
Managing Deceitful Arguments with X-Logics
Towards a Safer Planning and Execution Concept
Pyramid Transformer: A Multi-size Object Detection Model with Limited Device Requirements for the Nursing Robot
Using a Text-to-Speech Synthesizer to Generate a Reverse Turing Test
Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping
Approximating Element-Wise Functions of Matrix with Improved Streaming Randomized SVD
The Knowledge Puzzle: An Integrated Approach of Intelligent Tutoring Systems and Knowledge Management
Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology
Controlling Salinity in a Potable Water Supply System Using a Constraint Programming Approach
Working as a Team: Using Social Criteria in the Timed Patrolling Problem
Explainability of CNN Based Classification Models for Acoustic Signal
Multi-Stage Texture-Enhanced RGBD Fusion Network for Camouflaged Object Segmentation
A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs
Identifying Logical Patterns in Text for Reasoning
IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011
Managing Authorization Provenance: A Modal Logic Based Approach
Prudent Semantics for Argumentation Frameworks
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs
Multi-label Learning by Exploiting Label Correlations with LDA
A Shape Recognition Method Based on Syntax-Automaton
CSL (Part II): Modelling General N-ary, Logical CSPs
Representing and Learning Variations
Designing Embedded Collective Systems: The DIAMOND Multiagent Method
Experience Selection in Multi-agent Deep Reinforcement Learning
Fusion of Classifiers Based on Centrality Measures
Brain Emotional Learning Based Fuzzy Inference System (BELFIS) for Solar Activity Forecasting
A General Framework for Querying Possibilistic RDF Data
An Evolutionary Approach for Time Dependent Optimization
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
Automatic Design of Robot Behaviors through Constraint Network Acquisition
A Genetic Algorithm for Automatic Generation of Test Logic for Digital Circuits
The Schema Theorem Considered Insufficient
A New Web Usage Mining and Visualization Tool
A Framework for Guided Complete Search for Solving Constraint Satisfaction Problems and Some of Its Instances
Engineering Optimization Using a Simple Evolutionary Algorithm
Machine Learning Based Recommendation Queries for Constraint Acquisition
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 14-16 November 2005, Hong Kong, China
Expert-guided Policy Optimization by Latent Space Planning with Attention
Information Extraction by Two Dimensional Parser
Dealing with User's Preferences in Mixed-Initiative Systems for Linear Optimization
Capturing Structure in Hard Combinatorial Problems
A Greedy Search Approach to Co-clustering Sparse Binary Matrices
Minimization of Suffix Array's Storage Capacity for Periodicity Detection in Time Series
Robust Inverse Planning Approaches for Policy Estimation of Semi-autonomous Agents
Learning Lazy Naive Bayesian Classifiers for Ranking
Crane Scheduling Using Tabu Search
Veritas: Combining Expert Opinions without Labeled Data
A New Methodology for Optimizing Evasive Maneuvers Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem
Consistent Neighborhood for the Satisfiability Problem
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data
A Methodology for Automatically Detecting Texture Paths and Patterns in Images
Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families
Sorted Pareto Dominance: An Extension to Pareto Dominance and Its Application in Soft Constraints
Enhancing Change Detection in Spectral Images: Integration of UNet and ResNet Classifiers
DTIGCCN: Prediction of drug-target interactions based on GCN and CNN
Parallel Mining of Maximal Frequent Itemsets from Databases
Element Matching by Concatenating Linguistic-Based Matchers and Constraint-Based Matcher
Dual-template Siamese Network with Cross-Correlation Fusion for Tracking
A pipelined architecture for logic programming with a complex but single-cycle instruction set
Hypothesis generation in conflict based diagnosis
k-Intervals: A New Extension of the k-Means Algorithm
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test
Multi-Modal Function Optimization Problem for Evolutionary Algorithm
IKD: A Knowledge-Based Tool for Integrating a Knowledge Base and a Database
The guided genetic algorithm and its application to the generalized assignment problem
A Fuzzy Genetic Algorithm for Single-Machine Scheduling and Flexible Maintenance Planning Integration under Human Resource Constraints
Part-Whole Relations as Products of Metric Spaces
Discovering Clusters in Gene Expression Data Using Evolutionary Approach
Elastic Version Space: A Knowledge Acquisition Method with Background Knowledge Adjustment
Combining Shape and Appearance for Automatic Pedestrian Segmentation
Metropolis Particle Swarm Optimization Algorithm with Mutation Operator for Global Optimization Problems
Privacy-preserving Cost-sensitive Federated Learning from Imbalanced Data
A User-Assisted Business Letter Generator Dealing with Text's Stykostic Variations
A Constraint Programming Approach to the Additional Relay Placement Problem in Wireless Sensor Networks
A Bayesian Probabilistic Argumentation Framework for Learning from Online Reviews
Evaluating Performance Metrics for Credit Card Fraud Classification
Backjump-Based Techniques versus Conflict-Directed Heuristics
Towards Efficient Selection of Web Services with Reinforcement Learning Process
A Semantic Extension for Event Modelisation
Identifying the Number of Clusters in Short Text Using Bayesian Nonparametric Model
Convolutional Decoupled cVAE-GANs for Pseudo-Replay Based Continual Learning
Application of AI Planning Techniques to Automated Code Synthesis and Testing
A Novel Model of Working Set Selection for SMO Decomposition Methods
Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
Beta-Prolog: An Extended Prolog with Boolean Tables for Combinatorial Searching
Software Effort Estimation Using Machine Learning Techniques with Robust Confidence Intervals
Exemplar-Based Prototype Selection for a Multi-Strategy Learning System
Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems
Geometric Path Enumeration for Equivalence Verification of Neural Networks
Dominance of Bayesian Networks and Efficient Learning of Generalized Latent Class Models
Parallelizing Partial MUS Enumeration
Meta-Heuristics for Robust Graph Coloring Problem
Quantum-Behaved Particle Swarm Optimization with Mutation Operator
AERNs: Attention-Based Entity Region Networks for Multi-Grained Named Entity Recognition
Self-Adjusting Real-Time Search: A Summary of Results
Endoscope Tracking Using Wavelet-Gravitation Network Incorporated with Kalman Filter
Learning and Simulating Human Behaviour with Relational Decision Trees
Addressing the Ramification Problem in a Temporal Context: The Case of Concurrent Actions
LLMMutation: Mutation Testing for Large Language Models
G-UniRouting: A Graph-Based Unified Neural Model for Solving Multi-Attribute Vehicle Routing Problems
On Temporal Planning as CSP
Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation
Partition Clustering for GIS Map Data Protection
On the Fine Structure of Large Search Spaces
Boosting Imperceptibility of Adversarial Attacks for Environmental Sound Classification
Cross-Paradigm Modelling: A Study of Puzznic
State aggregation for solving Markov decision problems an application to mobile robotics
Experience-based deductive learning
Planning responses in reaction to user feedback
A Research for Visual Reasoning
Physics-Informed Deep Learning for Wind Downscaling over Oslo
An Adaptive Aggregation Method Based on Movie Genre for Group Recommendation
Invertible Neural Networks for Trustworthy AI
A Density-Based Approach for Instance Selection
Graph based Hiding of Sensitive Knowledge
A Constructivist Approach for a Self-Adaptive Decision-Making System: Application to Road Traffic Control
Dynamic Version Spaces in Machine Learning
A Marker-Passing Algorithm for Reference Resolution
Computer Generated Intelligent Companions for Distributed Virtual Environments
Encoding Hash Functions as a SAT Problem
Automated AI Planning and Code Pattern Based Code Synthesis
Detection and Analysis of Trend Topics for Global Scientific Literature Using Feature Selection Based on Gini-Index
Probabilistic Verification of Multi-robot Missions in Uncertain Environments
From data mining to rule refining A new tool for post data mining rule optimisation
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods
MLC++: A Machine Learning Library in C++
Exploring the Relationship between Knowledge and Algorithm Performance in Discrete Optimization
On Diagnosis of Violations of Constraints in Petri Net Models of Discrete Event Systems
Maximising the Number of Participants in a Ride-Sharing Scheme: MIP Versus CP Formulations
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming
Designing a learning-automata-based controller for client/server systems: a methodology
Random Forests Based View Generation for Multiview TV
A Coupled Statistical/Semantic Framework for Merging Heterogeneous Domain-Specific Ontologies
Autonomous Filter Engine Based on Knowledge Acquisition from the Web
A Two-stage Approach for Tables Extraction in Invoices
Protein Loop Modeling Using Deep Generative Adversarial Network
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
Motion Analysis with Application to Assistive Vision Technology
Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees
Advanced Fuzzy Control of a Trailer Type Mobile Robot - Stability Analysis and Model-Based Fuzzy Control
A Knowledge-Based Analyzer for Requirements Specification Analysis
iMASS: Computational NRF Spectra Signal from Geant4
Deploying Agents for Monitoring and Notification of Wireless Sensor Networks
Rule Based Classifier Generation Using Symbiotic Evolutionary Algorithm
Generating Reduced Tests for FSMs using a Search-Based Testing Approach
Successive Search Method for Valued Constraint Satisfaction and Optimization Problems
Evaluation of Transfer Learning Algorithms Using Different Base Learners
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks
Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell
CARAMEL: A Step Towards Reflection in Natural Language Understanding Systems
Revising Qualitative Constraint Networks: Definition and Implementation
Multiparty Proactive Communication in Agent Teamwork
FLY: Venue Recommendation using Limited Context
Constrainedness in Stable Matching
Qualitative Analysis of Interorganizational WorkFlow Nets Using Linear Logic: Soundness Verification
Knowledge based text character recognition using Fourier transform
Looking Inside Literal Blocks: Towards Mining More Promising Learnt Clauses in SAT Solving
Using Genetic Algorithms for Optimal Design of Trusses
Dynamic Coalition of Resource-Bounded Autonomous Agents
Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy
Selecting Search Strategy in Constraint Solvers using Bayesian Optimization
Iterative SAT Solving for Minimum Satisfiability
A Hybrid Dynamic Arity Search Heuristic for Constraint Programming
A Multi-objective Genetic Algorithm for Pruning Support Vector Machines
Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings
Checking the Correctness of Mission Plans
Modeling Workflow Systems with Genetic Planner and Scheduler
A Framework for Fault Diagnosis in Distributed Expert Systems
On Approaches to Explaining Infeasibility of Sets of Boolean Clauses
CSTCN: A Novel Causal-Based Framework for Air Quality Medium- and Long-term Prediction
Ranking in Co-effecting Multi-object/Link Types Networks
Admissible Generalizations of Examples as Rules
An Unified Stochastic Fusion of Dual Diffusion Paths for Faithful Architectural Image Synthesis
A Shapelet Learning Method for Time Series Classification
Co-Ride: Collaborative Preference-Based Taxi-Sharing and Taxi-Dispatch
A Hybrid/Symbolic Connectionist Production System
Bilateral-Branch Network for Imbalanced Visual Regression
How to Distribute an Existing Modular Expert System Shell
Online Behavior Recognition: A New Grammar Model Linking Measurements and Intents
I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks
Language Modelling for Collaborative Filtering: Application to Job Applicant Matching
Experiment Cards: A Documentation Framework for Trustworthy AI Experiments
Pseudo-Based Relevance Analysis for Information Retrieval
Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification
Implicit Random Constraint Satisfaction Problems
A New Hybrid Evolutionary-Based Data Clustering Using Fuzzy Particle Swarm Optimization
Prediction-Based Fleet Relocation for Free Floating Car Sharing Services
Minimizing the Driving Distance in Ride Sharing Systems
ConsfomerST: Multilayer Transformer and Contrast Learning for Image Style Transfer
Towards a framework for normative software engineering research
OdinDTA: Combining Mutual Attention and Pre-training for Drug-target Affinity Prediction
Improving the Graph-Based Image Segmentation Method
Investigating the Generalization of Image Classifiers with Augmented Test Sets
Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection
Monitoring progress with dynamic programming envelopes
iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance
A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines
Historical Rete networks for debugging rule-based systems
Modifying Rete to Reason Temporally
LLM-Based Digital Twin Water Conservancy Knowledge Graph Construction
Edge Content Enhanced Network Embedding
Comparison of Service Selection Algorithms for Grid Services: Multiple Objective Particle Swarm Optimization and Constraint Satisfaction Based Service Selection
31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019
DIALECT2: An Information Retrieval System Based on Distributed Artificial Intelligence Tools
Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments
DOSE: A Distributed Open Semantic Elaboration Platform
A Tree Decomposition Based Approach to Solve Structured SAT Instances
Graph Attention Auto-Encoders
Using Shared-Packed Forests in a GB Parser
Software Aging Prediction Model Based on Fuzzy Wavelet Network with Adaptive Genetic Algorithm
A Collaborative Multiagent Framework Based on Online Risk-Aware Planning and Decision-Making
Representing biological and physical systems as temporal event hierarchies
Possible and Necessary Answer Sets of Possibilistic Answer Set Programs
Parameter Tuning for the MAX Expert System
A Deterministic Method for Initializing K-Means Clustering
Association of Multi-sensor Data for Autonomous Car Driving: A Comparative Evaluation
26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014, Limassol, Cyprus, November 10-12, 2014
ICDM: Integrated Cooperative Decision Making-In Practice
CSFI for Social Media: Understanding and Predicting Cross-Community Information Propagation
Using Physiological Metrics to Improve Reinforcement Learning for Autonomous Vehicles
Fuzzy Concession Strategy for Emotional Human-Computer Negotiation *
An Effective Image Representation Method Using Kernel Classification
An Edge-centric Ensemble Scheme for Queries Assignment
An Improved Laplacian Semi-Supervised Regression
Improving the Orthogonal Range Search k -Windows Algorithm
Solving Fuzzy DCSPs with Naming Games
Reasoning Technique for Extended Fuzzy Description Logics
An Efficient Algorithm for Production Systems with Linear-Time Match
Enhancing Convolutional Block Attention with Self-Attention on Agricultural Image Classification
KBMS support for conceptual modeling in AI
Improving Deep Belief Networks via Delta Rule for Sentiment Classification
Coherence Test on Graphs Constraints between Hyperintervals
A New Study on Using HTML Structures to Improve Retrieval
PRPOIR: Exploiting the Region-Level Interest for POI Recommendation
Generative Constraint Programming Revisited
Solving Open Shop Scheduling Problem via Graph Attention Neural Network
TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in Education
Projecting our Presence in Space and in Time
Bike Usage Forecasting for Optimal Rebalancing Operations in Bike-Sharing Systems
Diagnosis of Component Failures in the Space Shuttle Maine Engines Using Bayesian Belief Networks: A Feasibility Study
Feature-Selected and -Preserved Sampling for High-Dimensional Stream Data Summary
Distributed Support Vector Machine Based on Distributed Loss
Fast Hypothetical Reasoning Using Analogy on Inference-Path Networks
Face Recognition Using a Color Subspace LDA Approach
Assessing Procedural Knowledge in Free-Text Answers through a Hybrid Semantic Web Approach
Enabling Cross Constraint Satisfaction in RDF-Based Heterogeneous Database Integration
Propagating Polynomially (Integral) Linear Projection-Safe Global Cost Functions in WCSPs
Answer Filtering via Text Categorization in Question Answering Systems
Online Complex Action Learning and User State Estimation for Adaptive Dialogue Systems
Mode-Directed Tabling for Dynamic Programming, Machine Learning, and Constraint Solving
Detecting Machine-Generated Text using Grammatical Features
Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels
A Graphical Language to Query Conceptual Graphs
TARO: an interactive, object-oriented tool for building natural language systems
Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra
An Experimental Study on Learning with Good Edit Similarity Functions
A Multimodal Interaction Scheme between a Blind User and the Tyflos Assistive Prototype
HML - An Approach for Refining/Managing Knowledge Discovered from Databases
A Feasible and Terrain-Insensitive Approach for Analyzing Power Wheelchair Users' Mobility
Identifying Variable-Length Meaningful Phrases with Correlation Functions
A Heuristic-Based CarShop Scheduling Application
Hierarchical Triplet Attention Pooling for Graph Classification
A Federated Multi-Server Knowledge Graph Embedding Framework For Link Prediction
A New Filtering Based on Decomposition of Constraint Sub-Networks
A Novel Parsing-based Approach for Verification of Hierarchical Plans
A Hybrid Software Component Clustering and Retrieval Scheme Using an Entropy-Based Fuzzy k-Modes Algorithm
Effective Heuristics to Solve Pickup and Delivery Problems with Time Windows
MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks
Real-Time Polyp Detection for Colonoscopy Video on CPU
Solving Diagramless Crossword Puzzles
Multisearch systems with hierarchical control: a tool for solving complex AI problems
A Hybrid Approach for Mining Maixmal Hyperclique Patterns
Signal understanding: an artificial intelligence approach to modulation classification
Creating Possible Worlds Using Sims Tables for the Imperfect Information Card Game Schnapsen
Comparison of E2E and Pipeline Conversational Architectures for Production Line Rebalancing
Fast hypothetical reasoning system using inference-path network
Heuristic Policy Analysis and Efficiency Assessment in Constraint Satisfaction Search
Few-Shot Classification With Intra-Class Unrelated Multi-Prototype Representation and Episode Adaptation Strategy
Partially Supervised Classification for Early Concept Drift Detection
A New Generation of Intelligent Punching Environment for Computerized Embroidery
Aerial: A Framework to Support Human Decision Making in a Constrained Environment
Experiments in Distributed Constraint Satisfaction