yusuke1997/dblp-id-title huggingface dataset:
Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection
Lifelong Learning Without a Task Oracle
To be an Artist: Automatic Generation on Food Image Aesthetic Captioning
Where to go Next ? Social and Spatio-Temporal Learning for Next Points-of-Interest Prediction Using Residual Vision Transformer
Strategies for optimizing image processing by genetic and evolutionary computation
Mining Causal Outliers Using Gaussian Bayesian Networks
OKBMS: An object-oriented knowledge base management system
When Quality Matters: Constraint Programming for Automated Temporal and Numeric Planning
Interactive Verification of Game Design and Playing Strategies
Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition
Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR
Practically Handling Some Configuration Isomorphisms
An agent-based distributed multimedia service environment
Peirce: A Tool for Abductive Inference
Adversarial Attack against LSTM-based DDoS Intrusion Detection System
Mining Decision Rules from Deterministic Finite Automata
Web Service Classification Using Support Vector Machine
Artificial Neural Networks in Hydrological Watershed Modeling: Surface Flow Contribution from the Ungauged Parts of a Catchment
Explainable Reinforcement Learning for Multi-Agent Systems
What's new? Using prior models as a measure of novelty in knowledge discovery
Heuristic Approach to Guarantee Safe Solutions in Probabilistic Planning
Learning to identify and settle dilemmas through contextual user preferences
Sweep A*: Space-Efficient Heuristic Search in Partially Ordered Graphs
IEEE International Workshop on Tools for Artificial Intelligence: Architectures, Languages and Algorithms, TAI 1989, Fairfax, VA, USA, October 23-25, 1989
Mining Non-derivable Hypercliques
Two Approaches of Human Behavior Anticipation
Ergodic discretized estimator learning automata with high accuracy and high adaptation rate for nonstationary environments
A Java-Based Distributed Genetic Algorithm Framework
Graph Active Learning at Subgraph Granularity
Swarm Filter - A Simple Deep Learning Component Inspired by Swarm Concept
The neural shell: a neural network simulation tool
Obstacle-Avoiding Euclidean Steiner Trees by n-Star Bundles
MambaPan3D: Mamba-Transformer for 3D LiDAR Panoptic Segmentation with Adaptive Coordinate Fusion
Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network
A modified tabu search approach for texture segmentation using 2-D non-separable wavelet frames
A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data
A Formally Verified Validator for Classical Planning Problems and Solutions
Modular General Fuzzy Hypersphere Neural Network
Adaptive Service-Oriented Application Architecture and System Engineering
An Architecture of Neural Network for Fuzzy Teaching Inputs
Enhancing Implicit Discourse Relation Classification by Perceiving External Semantics and Convolving Internal Semantics
Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work!
Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization
An Empirical Study of Learning from Imbalanced Data Using Random Forest
An Iterative Instance Selection Based Framework for Multiple-Instance Learning
Complexity Results in Optimistic/Pessimistic Preference Reasoning
Customized Explanation in Expert System for Earthquake Prediction
Code-based Algorithm for Coalition Structure Generation
Factorized Decision Trees for Active Learning in Recommender Systems
Clustering-Based Crossover in an Evolutionary Algorithm for the Vehicle Routing Problem with Time Windows
A Formal Basis for Consistency, Evolution and Rationale Management in Requirements Engineering
ViQueL: A Spatial Query Language for Presentation-Oriented Documents
Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO
Adversarial Regularization for Explainable-by-Design Time Series Classification
Face Recognition Based on Randomized Subspace Feature
Multi-LCNN: A Hybrid Neural Network Based on Integrated Time-Frequency Characteristics for Acoustic Scene Classification
EMAS: Efficient Meta Architecture Search for Few-Shot Learning
Optimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter
MOMDP-Based Target Search Mission Taking into Account the Human Operator's Cognitive State
A Multi-index Examination Cheating Detection Method Based on Neural Network
e-Care: Ontological Architecture for Telemonitoring and Alerts Detection
Binary CSP Solving as an Inference Process
GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects
A Synergistic Model for Monitoring Brain's Changes: A Case Study
Abnormal Behavior Detection Method based on Spatio-temporal Dual-flow Network for Surveillance Videos
Sarcasm Detection and Quantification in Arabic Tweets
Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting
A knowledge-based graphic description tool for understanding engineering drawings
A Theoretical Analysis of Pooling Operation Using Information Theory
Detecting Spatial Outliers with Multiple Attributes
Mining Fuzzy Association Rules from Heterogeneous Probabilistic Datasets
Linear Algebraic Computation of Propositional Horn Abduction
Sum-of-Products with Default Values: Algorithms and Complexity Results
Studying Adversarial Attacks on Behavioral Cloning Dynamics
Graph-Based Hierarchical Video Summarization Using Global Descriptors
Approximating Learning Curves for Imbalanced Big Data with Limited Labels
Constrained Simulated Annealing with Applications in Nonlinear Continuous Constrained Global Optimization
A Machine Learning Based Tool to Estimate Coolant Engine Temperature Based on Motorcycle Riding Data
An Efficient Detector for the Key Components of the Power Transmission Lines
A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains
Variational Policy Chaining for Lifelong Reinforcement Learning
Constructing Weighted Argumentation Framework with Cognitive Maps
Tools with AI in the Government
An Adaptive Strategy to Adjust the Components of Memetic Algorithms
A metalanguage to express human guidance for program transformation
Pickup and Delivery with Time Windows: Algorithms and Test Case Generation
Optimizing Product Order Presentation
IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers
Transcoding HTML to VoiceXML Using Annotation
Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health
A Hybrid Approach to Frequent Itemset Hiding
Eye Synthesis Using the Eye Curve Model
A Lightweight Book Defacement Recognition Method for Self-Service Book Borrowing and Returning Machines
On the Transformation from a Fragment-Based Design into a Module-Based Implementation
MHTTS: Fast Multi-head Text-to-speech For Spontaneous Speech With Imperfect Transcription
A Fuzzy Logic Expert System for Fault Diagnosis and Security Assessment of Power Transformers
Debugging knowledge-based applications with a generic toolkit
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation
Automated reasoning on monotonic constraints
Accurate and Robust RGB-D Dense Mapping with Inertial Fusion and Deformation-Graph Optimization
Exponential Recurrent Associative Memories: Stability and Relative Capacity
Using Knowledge-Based System with Hierarchical Architecture to Guide the Search of Evolutionary Computation
Particle Swarm Optimization Approach with Parameter-Wise Hill-Climbing Heuristic for Task Allocation of Workflow Applications on the Cloud
Online Structured Learning for Semantic Parsing with Synchronous and lambda-Synchronous Context Free Grammars
An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments
A Model Based Reinforcement Learning Approach Using On-Line Clustering
Artificial Intelligence in Financial Applications
Estimating Power Consumption of GPU Application Using Machine Learning Tool
Constraint Decomposition Based on Tractable Properties
KCC Method: Unknown Intrusion Detection Based on Open Set Recognition
Domain-Randomized Pointcloud Simulation and Label Filtering for Industrial 3D Object Detection
Natural Language Queries in CBR Systems
Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models
EER-ConcepTool: A "Reasonable" Environment for Schema and Ontology Sharing
Speculative search: An efficient search algorithm for limited memory
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling
An Embedding-Based Approach to Recommending SPARQL Queries
Faster Matrix Completion Using Randomized SVD
An Argumentation Framework for Reasoning about Bounded Resources
Explicit History Selection for Conversational Question Answering
Context-aware Relation Classification based on Deep Learning
Random Move Tabu Search for Freight Proportion Allocation Problem
Stratification: The Computational Base of a System for Default Reasoning
Incremental Construction of Neighborhood Graphs Using the Ants Self-Assembly Behavior
Behaviors and Profit Based Sales Campaign Design
Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation
AI Tools in Scheduling Problem Solving: A Solver Based on a "Well-Behaved" Restriction of TCSPs
Audio-lingual and Visual-facial Emotion Recognition: Towards a Bi-modal Interaction System
High speed fuzzy learning machine with guarantee of global minimum and its applications to chaotic system identification and medical image processing
Detecting Link Communities Based on Local Approach
A Framework for Plan Library Evolution in BDI Agent Systems
A Tool to Support Knowledge Based Software Maintenance: The Software Service Bay
Networked Bubble Propagation Method as a Polynomial-Time Hypothetical Reasoning for Computing Quasi-Optimal Solution
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
Deep Learning Methods for Animal Counting in Camera Trap Images
Mining Influential Training Data by Tracing Influence on Hard Validation Samples
A Text Mining Model for Hypothesis Generation
Link Prediction in Social Networks with Edge Aging
Enhancing GraphRAG with Syntactic Knowledge and Mixture-of-Experts for Knowledge-Intensive QA
Gathering Requirements from Remote Users
Continual Learning of 3D Point Cloud with Hyperbolic Manifold Replay
Bayesian Deep Learning Based Exploration-Exploitation for Personalized Recommendations
DT: a classification problem solver with tabular-knowledge acquisition
Evolving Ensembles of Traffic Lights Controllers
Autonomous Robotics Self-Localization Using Genetic Algorithms
Automatic Repairing of Web Wrappers by Combining Redundant Views
Description, Composition, and Decision Support for Multiagent Computational Systems
Learning algorithms using a Galois lattice structure
PhishBENCH: A Benchmark for Legal Tasks Related to Phishing Attacks
Knowledge Complement for Monte Carlo Tree Search: An Application to Combinatorial Games
Compiling Domain Consequences
A Fast Parallel Branch and Bound Algorithm for Treewidth
On the Convergence Speed of AMSGRAD and Beyond
How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation
Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications
Improving Question Answering Based on Query Expansion with Wikipedia
A New Vision-Based Method for Extracting Academic Information from Conference Web Pages
A Practical Module System for Logic Programming and its Semantics
Efficient prediction of interconnect crosstalk using neural networks
DCGA: A Diversity Control Oriented Genetic Algorithm
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering
Knowledge Integration On-The-Fly in Swarm Intelligent Systems
Computing Horn Strong Backdoor Sets Thanks to Local Search
Semantic Information Retrieval: A Comparative Experimental Study of NLP Tools and Language Resources for Arabic
Computational Complexity of Web Service Composition Based on Behavioral Descriptions
Automatically Predict Question Difficulty for Reading Comprehension Exercises
Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach
Trajectory Generation with Oriented Diversity: An Unsupervised Robotic Trajectory Imitation Method
Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance
Optimal Value of Information in Dynamic Bayesian Networks
Prompting for Performance: Exploring LLMs for Configuring Software
Knowledge-Guided Methodology for Specification Analysis
Path planning for two cooperating robot manipulators
A Graphical Environment for Formally Developing Object-Oriented Software
A New Interval Contractor Based on Optimality Conditions for Bound Constrained Global Optimization
Using Artificial Neural Network to Determine Favorable Wheelchair Tilt and Recline Usage in People with Spinal Cord Injury: Training ANN with Genetic Algorithm to Improve Generalization
The Use of a Machine Learning Toolbox on Industrial Applications
Intercity Transportation Construction Based on Link Prediction
Resource Coordination in Single Agent and Multiagent Systems
Artifacting and Regulating the Environment of a Virtual Organization
Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection
Comparative Study of Language Models and Prompt Paradigms in Short Answer Grading
Towards a High-Level Multi-label Classification from Complex Networks
Maintaining Virtual Arc Consistency Dynamically during Search
Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling
Intelligent Management of Brain Markers for Early Prognosis of the Spatiotemporal Growth of Gliomas
Trustworthy Integration of Generative AI and LLMs in the Energy Digital Spine: Epistemic Risk Models and Trust Performance Indicators
Fragmentation problem and automated feature construction
A Self Healing Action Composition Agent
An Unsupervised Segmentation Method for Retinal Vessel Using Combined Filters
Swarm Approaches for the Patrolling Problem, Information Propagation vs. Pheromone Evaporation
The use of version space controlled genetic algorithms to solve the Boole problem
ProtoMask: Segmentation-Guided Prototype Learning
A Reactive Multi-Agent System for Localisation and Tracking in Mobile Robotics
Knowledge Acquisition for Classification Systems
Hidden Structure in Unsatisfiable Random 3-SAT: An Empirical Study
Machine Learning for Android Malware Detection Using Permission and API Calls
Combined Strategies for Decomposition-Based Methods for Solving CSPs
An Intelligent System for Prediction of School Dropout Risk Group in Higher Education Classroom Based on Artificial Neural Networks
Twin register architecture for an AI processor
Maximum Margin/Volume Outlier Detection
Integrating Artificial Intelligence, Argumentation and Game Theory to Develop an Online Dispute Resolution Environment
Robust Plan Execution in Multi-agent Environments
Query Expansion and Query Reduction in Document Retrieval
Local minimum structures of graph-coloring problems for stochastic constraint satisfaction algorithms
Reciprocal Social Strategy in Social Repeated Games
DGSNet: Dual Graph Structure Network for Emotion Recognition in Multimodal Conversations
Arc-Consistency in Dynamic CSPs Is No More Prohibitive
Isolated Word Recognition with Audio Derivation and CNN
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
Robust Speaker Identification Using Multimodal Discriminant Analysis with Kernels
Fuzzy cellular automata: from theory to applications
Intelligent Neural Networks using Smart Wavelets Preprocessing
Probabilistic Extension of Allen's Relations Using the Hourglass Model
Tools for detecting dependencies in AI systems
Towards Rare Itemset Mining
Inferring Clauses and Formulas in Max-SAT
At-Most-One Constraints in Efficient Representations of Mutex Networks
Periodic Graph-Enhanced Multivariate Time Series Anomaly Detector
Multi-agent Simulation Design Driven by Real Observations and Clustering Techniques
A New Method for Computing Suitable Tree-Decompositions with Respect to Structured CSP Solving
37th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2025, Athens, Greece, November 3-5, 2025
Solving Resource Management Optimization Problems in Contact Centers with Artificial Neural Networks
Categorical Data Clustering: A Correlation-Based Approach for Unsupervised Attribute Weighting
Reachability Analysis for Uncertain SSPs
Multi-label Classification: Dealing with Imbalance by Combining Labels
Integer Linear Programming Preprocessing for Maximum Satisfiability
A Genetic Approach for Biomedical Named Entity Recognition
Exploiting Data Mining Techniques for Compressing Table Constraints
Explaining Teleo-reactive Strategic Behaviour
NeuroWeb: An Internet-Based Neural Network Simulator
Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms
Formal Agent-Based Modelling and Simulation of Crowd Behaviour in Emergency Evacuation Plans
Safe Pathfinding Using Abstract Hierarchical Graph and Influence Map
A Generic Tool for Distributed AI with Matching as Message Passing
Automatic Scale Selection as a Pre-Processing Stage to Interpreting Real-World Data
Selective indexing speeds production systems
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
Learning for Dynamic Assignments Reordering
Based on Color Quantization by Genetic Algorithms
Job Runtime Prediction: A Two-Stage Framework Beyond PQR2 with Fallback and Enhanced Classification
Change Your Belief about Belief Change
Automatic Deep Understanding of Tables in Technical Documents
A Minimal Spanning Tree Analysis of EEG Responses to Complex Visual Stimuli
Modeling and Supporting ETL Processes via a Pattern-Oriented, Task-Reusable Framework
From Laboratory State into Production: Automating Hyperspectral Image Classification through MLOps
Algorithmic Mapping of Neural Networks with Multiactivation Production Units onto SIMD Machines
New Evolutionary Approaches for SAT Solving
Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming
Calculus of Variations in Discrete Space for Constrained Nonlinear Dynamic Optimization
Focus Generator with Score Classification on Fabric Defect Detection
Using Reactive Tabu Search in Semi-supervised Classification
Automated Generation of Region Based Geometric Questions
Clustering with Quantitative User Preferences on Attributes
An Attempt to Apply the Dividing and Composing Method to Various Frames of Chinese Flower and Bird Panting
External Visual Memory with Autoencoder-Based Intrinsic Motivation for Reinforcement Learning Under Partial Observability
Resolving Infeasibility in Linear Programs for the Frequent Itemset Hiding Problem
Unsupervised Constraint Acquisition
Maintaining Credible Dialogs in a VideoBot System with Special Audio Techniques
Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming
A Value Ordering Heuristic for Solving Ultra-Weak Solutions in Minimax Weighted CSPs
Privacy-Aware Deep RL for Sequential Coalition Formation Decisions Under Uncertainty
Effects of Cognitive Feedback, Emotional Induction, and Social Pressure on Decisions Related to Cognitive Performance with Economic Reward: Cognitive Feedback, Emotional Induction, and Social Pressure on Decision Making
A knowledge and data base for software systems
MODEST: A Model-Based Diagnostic Expert System
Combining Constraint Languages via Abstract Interpretation
Multi RVM-Fuzzy Based Anticipatory System for Supporting Sustainable Nuclear Microreactor Powered Maritime Ports
Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis
Reframing Continuous Input Attributes
Memory and Schema in Human-Generative Artificial Intelligence Interactions
Defining and Monitoring Complex Robot Activities via LLMs and Symbolic Reasoning
14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 4-6 November 2002, Washington, DC, USA
DEVE: An Expert System for Hardware Design Verification
Chinese Short Text Entity Linking Based On Semantic Similarity and Entity Correlation
Extending a Refinement Acting Engine for Fleet Management: Concurrency and Resources
Mining Fuzzy Quantitative Association Rules
SemFSR: An Unsupervised Face SR with Semantic Features for Multiple Degradations
Multi-graph Convolution Network with Jump Connection for Event Detection
Object Detection with Neural Models, Deep Learning and Common Sense to Aid Smart Mobility
Detecting Algorithmic Homophily in Recommendation Graphs via Weighted Topic Distribution
Lexicalizing Linked Data towards a Human Friendly Web of Data
Synthesis of Relational Web Services Based on SCDL
Anytime Heuristic for Determining Agent Paths That Minimize Maximum Latency in a Sparse DTN
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar
Organizing conceptual graphs for fast knowledge retrieval
An Evaluation of Table Detection Methods in Document Images
Data Visualization in the DB-Discover System
Logic Grammars for Diagnosis and Repair
A new intelligent backtracking scheme for Prolog: a summary of results
A new tool to initialize global localization for a mobile robot
Explicit Versus Implicit Set-Covering for Supervised Learning
A Line-Context Based Object Recognition Method
A Simple, Concise, Query-based Approach to News Article Summarization Using Sentence Scoring
An Evaluation of Large Language Models for Geological Named Entity Recognition
Reasonning on Aspectual-Temporal Information in French within Conceptual Graphs
A Context-aware Hybrid Framework for Human Behavior Analysis
Improving Surrogate Model Prediction by Noise Injection into Autoencoder Latent Space
Approximate Graph Matching Using Probabilistic Hill Climbing Algorithms
Conflict History Based Branching Heuristic for CSP Solving
Eigth International Conference on Tools with Artificial Intelligence, ICTAI '96, Toulouse, France, November 16-19, 1996
Object Recognition Using Local - Global Graphs
Algorithm for Detection with Localization of Multi-targets in Wireless Acoustic Sensor Networks
Adaptive Batch SOM for Multiple Dissimilarity Data Tables
Using Planning Techniques to Provide Feedback in Interactive Learning Environments
A Group Formation Tool in an E-Learning Context
Building Document Treatment Chains Using Reinforcement Learning and Intuitive Feedback
RNDM: A Random Walk Method for Music Recommendation by Considering Novelty, Diversity, and Mainstream
Metric-Based Neural Network Classification Tool for Analyzing Large-Scale Software
A Multi-local Means Based Nearest Neighbor Classifier
A New Hybrid Neural-Genetic Methodology for Improving Learning
A Novel Efficient Unclick Behavior Modeling Framework for Click-Through Rate Prediction
Differential Evolution Using Linkage Identification
Context Processing of Sensory Image Data
Combining the Min-Conflicts and Look-Forward Heuristics to E.ectively Solve a Set of Hard University Timetabling Problems
High Performance Iris Recognition Based on LDA and LPCC
Knowledge Graph Embedding by Bias Vectors
Application of Reactive Multi-agent System to Vehicle Collision Avoidance
Cascaded Vector Quantization by Non-linear PCA Network Layers
Optimizing Training using Information Theory-Based Curriculum Learning Factory
Design Pattern Recognition by Using Adaptive Neuro Fuzzy Inference System
Text processing: robust character recognition using calibrated text and diversified feature set
Dynamic Adaptation and Subdivision in 3D-SOM: Application to Surface Reconstruction
Adaptive Clutter-Aware Visualization for Mobile Data Stream Mining
Backward assembly planning
HTN Planning Approach Using Fully Instantiated Problems