yusuke1997/dblp-id-title huggingface dataset:
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting
OEMLLM: Ophthalmology Expert MLLM for Various Fundus Disease Assisted Diagnosis
Haplotype Inference with Boolean Constraint Solving: An Overview
Toward Good Elimination Orders for Symbolic SAT Solving
BQM: a system integrating logic, objects, and non-monotonic reasoning
A Constraint-based Approach for the Generation of Floor Plans
Enhancing Domain-Specific Named Entity Recognition via Segmentation and Pseudo-Labeled Annotation
Topology Optimization in Multi-tree Based P2P Streaming System
CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling
Dynamic Job Shop Scheduling via Deep Reinforcement Learning
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift
Eliminating Mismatching Connections between Components by Adopting an Agent-Based Approach
A Fuzzy Model for Learning and Adaptivity
Learning Constrained Edit State Machines
A Robust Random Search Approach for Matching Formulas in Math Information Retrieval Systems
A Comparative Evaluation of a Natural Language Exploration Tool within a Hypermedia Environment
Neural Network Approximation for Nonlinear Partial Differential Equations with Quasi-Newton Optimization and Piecewise Strategy
A Decomposition Approach for Discovering Discriminative Motifs in a Sequence Database
Preventing Unwanted Social Inferences with Classification Tree Analysis
Hybrid Genetic Algorithm and Simulated Annealing (HGASA) in Global Function Optimization
Implementing a tool for timing analysis of real-time production systems
Residual Neural Network Based Classification of Macular Edema in OCT
QuFormer: Query-Based Transformer for Adversarial Feature Separation
An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks
A Review of Ensemble Classification for DNA Microarrays Data
On Managing Nonmonotonic Transitive Relationships
Guiding Real-World SAT Solving with Dynamic Hypergraph Separator Decomposition
A Robust Approach to Sequence Classification
A Decision Guidance System for Optimal Infrastructure Investments
Re2Dual: Towards Better Representation Learning Framework for Re-Ranking Through Dual-Level Data Augmentation
Truthful Incentive Mechanisms for Dynamic and Heterogeneous Tasks in Mobile Crowdsourcing
Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
Collaborative Learning Grouping Under Skill Redundancy-Aware Motivation Evolution
Efficient Traffic Routing with Progress Guarantees
Knowledge Discovery for Evolutionary Systems
A correlation-based entity embedding approach for robust entity linking
Band Search: An Efficient Alternative to Guided Depth-First Search
Trajectory Outlier Detection Using an Analytical Approach
Learning Nobetter Clauses in Max-SAT Branch and Bound Solvers
User Command Prediction by Graph-Based Induction
Rational-Emotional Agent Decision Making Algorithm Design with OWA
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods
Effective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks
Low-level numerical characteristics and inductive learning methodology in texture recognition
Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm
Using CV-CRITIC to Determine Weights for Smart City Evaluation
Bilateral Res-Unet for Image Colorization with Limited Data via GANs
XML Clustering by Principal Component Analysis
OpenAPI Thing Descriptions for the Web of Things
Three-Dimensional Joint Geometric-Physiologic Feature for Lip-Reading
Arabic Terminology Extraction and Enrichment Based on Domain-Specific Text Mining
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
Interpretable Deep Learning for Solar Flare Prediction
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
A maxima-tracking method for skeletonization from Euclidean distance function
A reinforcement learning-based weight fusion algorithm for house price prediction
Logical and Linear Dependencies Extraction from Trained Neural Networks
Verification tool for systolic array design
Nature-Inspired Graph Optimization for Dimensionality Reduction
Ranking and Selecting Association Rules Based on Dominance Relationship
MI-Winnow: A New Multiple-Instance Learning Algorithm
SAdvGAN : Multiple Information Fusion For Adversary Generation
SAPED: System of Assistance for PEople with Disabilities
Clustering Inside Classes Improves Performance of Linear Classifiers
Multi-relational Topic Model for Social Recommendation
A Numerical Differentiation Based Dendritic Cell Model
Extracting Knowledge from Web Search Engine Results
Mining Association Rules with Linguistic Terms
A Hybrid Agent-Based and Probabilistic Model for Fine-Grained Behavioural Energy Waste Simulation
Meta-constraints on violations for over constrained problems
A tool for tree pattern matching
IIBR-A System for Managing/Refining Structural Characteristics Discovered from Databases
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
Dependable knowledge-based systems development and verification: what we can learn from software engineering and what we need
PSG-GAN: Progressive Person Image Generation with Self-Guided Local Focuses
An Empirical Evaluation of Beam Search and Pruning in BEXA
Data Sniffing - Monitoring of Machine Learning for Online Adaptive Systems
Exponential-Based Rational Activations Functions
Robust Feature Selection Algorithms
Modeling and Solving the Multi-agent Pathfinding Problem in Picat
RETSR: An Effective Review-Enhanced and Time-Aware Sequential Recommendation Framework
Practical Aspects of Efficient Forward Selection in Decomposable Graphical Models
Inconsistent Requirements: An Argumentation View
Agnostic Local Explanation for Time Series Classification
An associative memory knowledge base for diagnostic and high level control functions
Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting
Towards Explainable Multi-Label Classification
A neural network based expert system model
Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models
An Integrated Model of Intrusion Detection Based on Neural Network and Expert System
An Intelligent Scheme for the Identification of QoS Violations in Virtualized Environments
Novel Class Detection and Feature via a Tiered Ensemble Approach for Stream Mining
Experience Sharing Between Cooperative Reinforcement Learning Agents
Identifying the Core of Logic-Based Argumentation Systems
Expanding Science and Technology Thesauri from Bibliographic Datasets Using Word Embedding
Combinatorial Optimization through Statistical Instance-Based Learning
MARS-a RISC-based architecture for LISP
Optimizing Query Routing Trees in Wireless Sensor Networks
Dynamic Refinement of Classification Rules
An Efficient Method for Probabilistic Knowledge Integration
A Study on Textual Entailment
Surveillance Systems for Smart Homes: A Comparative Survey
Learning Linear Programs from Data
An Effective Recommendation Model Based on Communities and Trust Network
Finding Optimal Solutions to Token Swapping by Conflict-Based Search and Reduction to SAT
A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Reach Passive Optical Networks
Stratified Cross-Validation on Multiple Columns
SyREC: A Symbolic-Regression-Based Ensemble Combiner
Segmentation of Greek Text by Dynamic Programming
A Combined Object-Oriented and Logic Programming Tool for AI
LG-Graph Based Detection of NRF Spectrum Signatures: Initial Results and Comparison
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems
A Topic-Based Recommender System for Electronic Marketplace Platforms
Fingerprint Verification Based on Fixed Length Square Finger Code
Artificial Neurogenesis: An Application to Autonomous Robotics
A New GA Approach for the Vehicle Routing Problem
Deep Cross-View Label Embedding with Correlation and Structure Preserved for Multi-Label Classification
Exploiting Sequential Mobility for Recommending new Locations on Geo-tagged Social Media
A Multi-agent Simulation Model Based on Fuzzy Logic to Predict Conflict Situations for Autonomous Robot Navigation
Modeling Natural Language Sentences into SPN Graphs
Path Generation with LSTM Recurrent Neural Networks in the Context of the Multi-Agent Patrolling
Training Generative Judge with Hard Negative Mining: A Metric Learning Perspective
Optimization of Neural Network Structure and Learning Parameters Using Genetic Algorithms
Competence Enhancement for Nearest Neighbor Classification Rule by Ranking-Based Instance Selection
toon2real: Translating Cartoon Images to Realistic Images
$\mathrm{A}^{3} \mathrm{E}^{2}$ Net: Integrating Waypoints, Lanes, and Traces for Multi-Modal Trajectory Prediction
Meta-path Embedding based Recommendation over Heterogeneous Information Network
Lifting Trajectories for Effective Clustering
19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 2
An Improved Genetic Algorithm for Spatial Clustering
Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs
Iterative Strengthening: An Algorithm for Generating Anytime Optimal Plans
Efficient Local Search for Maximum Weight Cliques in Large Graphs
Unnecessary Budget Reduction in Federated Active Learning
Harnessing Ontologies for Argument-Based Decision-Making in Breast Cancer
Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course
A Stock-Movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets
Learning to Speed Up Evolutionary Content Generation in Physics-Based Puzzle Games
Classification of Hyperspectral Imagery Using GPs and the OAD Covariance Function with Automated Endmember Extraction
AGFA-Net: Attention-Guided Feature-Aggregated Network for Coronary Artery Segmentation Using Computed Tomography Angiography
CURUMIM: A Serendipitous Recommender System for Tourism Based on Human Curiosity
Implementing Ranking-Based Semantics in ConArg
Gestalt of an Approach for Multidimensional Data Mining on Concept Taxonomy Forest to Discover Association Patterns with various Data Granularities
Anytime Reasoning with Probabilistic Inequalities
Automated Drawing Psychoanalysis via House-Tree-Person Test
Federated Grouping Panoptic Segmentation for LiDAR Point Cloud Based on Convolutional Network
Mining Association Rules in Text Databases Using Multipass with Inverted Hashing and Pruning
Incorporating Domain Knowledge in Learning Word Embedding
A Linked Data Browser with Recommendations
A Decentralized Model-Based Diagnosis for BPEL Services
Unfolding Particle Detector Acceptance in High Energy Physics with Generative AI
Reinforcement Learning in Multiagent Systems: A Modular Fuzzy Approach with Internal Model Capabilities
Biomarker-based deep learning for personalized nutrition
Coordinated Team Play in the Four-Legged RoboCup League
Suggesting Causes of Faults in Data-Driven Rule-Based Systems
Improving the performance of discrete Lagrange-multiplier search for solving hard SAT problems
Performance Evaluation of Hybrid Genetic Algorithm for Assembly Line Scheduling
A distributed multimedia knowledge based environment for modeling over the Internet
PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks
A Trace-Scaling Agent for Parallel Application Tracing
Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection
Model Expansion in the Presence of Function Symbols Using Constraint Programming
Satisfiability-Based Algorithms for Pseudo-Boolean Optimization Using Gomory Cuts and Search Restarts
Deep Learning Ensembles for Hate Speech Detection
Extending EGENET with Lazy Constraint Consistency
Semi-Supervised Pattern Based Algorithm for Arabic Relation Extraction
Dualizing Projected Model Counting
Usage of Mined Word Associations for Text Retrieval
An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood
A Pruning Method Based on the Dissimilarity of Angle Among Channels and Filters
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach
User Interest Propagation and Its Application in Recommender System
Path-Augmented Keyword Search for XML Documents
Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging
Molecular Assembly Tool for Synthesizing Multitier Computer Networks
An inference engine for function free logic programs
An F Test Based Method of Estimating the Number of Groups in an Organization
Utilitarian and Egalitarian Solutions for Multi-objective Constraint Optimization
Ant Colony vs. Genetic Multiobjective Route Planning in Dynamic Multi-hop Ridesharing
A knowledge-based environment for assessment of color similarity
IncrAMLSI: Incremental Learning of Accurate Planning Domains from Partial and Noisy Observations
Printed Thai Character Recognition Using the Hierarchical Cross-Correlation ARTMAP
Clustering Relational Data: A Transactional Approach
Face Hallucination via Convolution Neural Network
Perfect Sequences for Belief Networks Representation
Topics may Evolve: Using Complaint Data for Analysis
Enhanced-Memory Transformer for Coherent Paragraph Video Captioning
Semi-Automatic Discovery of Dependency Relationships Among Properties for Ranking-Based Semantics
Intelligent Real-Time Music Accompaniment for Constraint-Free Improvisation
Metrics-guided reuse
A formal approach to the analysis of priorities of imprecise conflicting requirements
A Legal Multi-Choice Question Answering Model Based on DeBERTa and Attention Mechanism
Exploring the Suitability of the Cerebras Wafer Scale Engine for the Fast Prototyping of a Multilingual Hate Speech Detection System
Incorporating Functionalities of Expert Medical Critique Dialogues in the Design of a Graphical Interface
Lazy Probability Propagation on Gaussian Bayesian Networks
Speech Signal Analysis of Autistic Children Based on Time-Frequency Domain Distinguishing Feature Extraction
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Local-guided Global Collaborative Learning Transformer for Vehicle Reidentification
Comparative Evaluation of Speech Parameterizations for Speech Recognition
Real-Time Positioning and Orienting of Pallets Based on Monocular Vision
Temporal Planning with Extended Timed Automata
Adaptive Robot Path Planning in Changing Environments
SITH: Semantic Interpreter for Transformer Hierarchy
Implementing Tabled Hypothetical Datalog
Personalized One-Shot Collaborative Learning
Knowledge Graph Completion by Multi-Channel Translating Embeddings
A Parallel Blackboard Generic Tool for Intelligent Robotics
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons
The RISE System: Conquering without Separating
Recurrent Neural Networks for Moisture Content Prediction in Seed Corn Dryer Buildings
Automated Acoustic Classification of Bird Species from Real -Field Recordings
Interaction with a Mobile Reader for the Visually Impaired
Artificial Neural Networks for Motion Analysis
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals
Unsupervised Sentiment Classification: A Hybrid Sentiment-Topic Model Approach
Illumination Invariant Face Recognition Based on Neural Network Ensemble
Online Classification of Nonstationary Streaming Data with Dynamic Pitman-Yor Diffusion Trees
Towards a Technology Platform for Building Corporate Radar Applications that Mine the Web for Business Insight
Use of AI in Query Optimization of Relational Databases
The Future Direction of AI Tools (Panel)
Knowledge Extraction from Web Services Repositories
Feature-Based Representation and Indexing of Axisymmetric Parts in Machining Process Planning using Case-Based Reasoning
Reusing Comparator Networks in Pseudo-Boolean Encodings
Deduction over Mixed-Level Logic Representations
MN-Net: Multi-Scale Feature Fusion and Neighborhood Attention Self-Supervised Network for Industrial Spool Surface Anomaly Detection
Vision Transformer with Interactive Windows based on Patch Sequence Reconstruction
A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort
A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids
Approximate Reasoning for Contextual Databases
Grow, prune or select data: which technique allows the most energy-efficient neural network training?
Bootstrapping Heterophily Graph Representation Learning via a Large Language Model-Based Approach
Computationally Viable Handling of Beliefs in Arguments for Persuasion
Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks
Experimental Evaluation of Output-Based Partition Testing for Expert Systems
Axiomatic Characterization of Wishes and Constraints: An Empirical Analysis of Human Endorsement
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders
Graph Structure Guided Transformer for Semantic Segmentation
Toward a Classification of Antagonistic Manifestations of Knowledge
LAFuzz: Neural Network for Efficient Fuzzing
A ConArg-Based Library for Abstract Argumentation
Extending Inductive Methods to Create Practical Tools for Building Expert Systems
A Partial Breadth-First Execution Model for Prolog
Absurdity, Contradictions, and Logical Formalisms
Policy Gradient Semi-markov Decision Process
KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems
P-graph-a graph model for anomaly checking of knowledge bases
Improving Peer Assessment Accuracy by Incorporating Grading Behaviors
Object-Oriented Programming and Frame-Based Knowledge Representation
Use of Expertise Ontologies in the Knowledge Engineering Process
Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification
A Semantic Programming Language SPL+ - A Preliminary Report
WMPEClus: Clustering via Weighted Meta-Path Embedding for Heterogeneous Information Networks
An Affine Invariant Region Detector Using the 4th Differential Invariant
New Models for Two Variants of Popular Matching
Hiding a Logo Watermark into the Multiwavelet Domain Using Neural Networks
Efficient Image Segmentation by Mean Shift Clustering and MDL-Guided Region Merging
EG-KGR: A Knowledge Graph Reasoning Model Based on Enhanced Graph Sample and Aggregate Inductive Learning Algorithm
Fast and Efficient Searching of Multimedia Databases Using Holographic Memory
Deviance-Aware Discovery of High Quality Process Models
Knowledge Representation and Reasoning for Perceptual Anchoring
Evaluation of Communication in Multiagent Systems for Supply Chain Planning and Control
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks
PLANET: A tool for representing and generating plans in an RMS framework
Weight Adjusted Naive Bayes
A New Learning Algorithm with General Loss for Neural Networks with Random Weights
An Evaluation of Meta-Heuristic Approaches for Improve the Separation of Multiple Partial Discharge Sources and Electrical Noise
DeepMark: Embedding Watermarks into Deep Neural Network Using Pruning
Agent Warehouse: A New Paradigm for Mobile Agent Deployment
Advanced Block Detection and Quantification of Fibrotic Areas in Microscopy Images of Obstructive Nephropathy
Global knowledge about local dependencies in an integrated database environment
Enhancing Clause Learning by Symmetry in SAT Solvers
A Dilated Transformer Network for Time Series Anomaly Detection
Incremental Move for 2D Strip-Packing
Improving Bandit-Based Recommendations with Spatial Context Reasoning: An Online Evaluation
Making the First Solution Good!
A Fuzzy Approach of Decision Making for an Airline
Motion Prediction in a High-Speed, Dynamic Environment
A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network
Vehicle Energy Consumption Prediction Under Real-World Driving Conditions
An Introduction to the JADEL Programming Language
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
Computing Robust Principal Components by A* Search
DEC-A*: A Decentralized Multiagent Pathfinding Algorithm
Efficiently Detecting Arbitrary Shaped Clusters in Image Databases
Fast Evasion Detection & Alert Management in Tree-Ensemble-Based Intrusion Detection Systems
nso-HSVI: A Not-So-Optimistic Heuristic Search Value Iteration Algorithm for POMDPs
TreeConnect: A Sparse Alternative to Fully Connected Layers
Real-Coded Genetic Algorithm Realizing Fast Convergence by Reducing Its Population Size
Time Series Averaging Using Multi-Tasking Autoencoder
A Robust Approach to Noise for Plan Recognition in RTS Games
Determining the Basis for Performance Variations in CSP Heuristics
Image Fusion Combining Frequency Domain Techniques Based on Focus
Improving Integer and Constraint Programming for Graeco-Latin Squares
Error Allowing Minimax: Getting over Indifference
Counterfactual Explanations for k-Means and Gaussian Clustering
VERITAS - An Application for Knowledge Verification
WD3: Taming the Estimation Bias in Deep Reinforcement Learning
Combining Finite State Automata and a Greedy Learning Algorithm to Determine the Syntactic Roles of Commas
Opportunisitc Behavior and Its Automatic Adjustment in Dynamic Task Domains
A Rule-Based Model for Normalization of SMS Text
Combining Statistics-Based and CNN-Based Information for Sentence Classification
A Syntax-Guided Neural Model for Natural Language Interfaces to Databases
An Automatic and Dynamic Student Modeling Approach for Adaptive and Intelligent Educational Systems Using Ontologies and Bayesian Networks
Providing Semantic Intelligent Answers to Recursive Queries
Combining various algorithms to solve the ship berthing problem
Learnability of Specific Structural Patterns of Planning Problems
Detection and Recognition of U.S. Warning Signs on Curves
ROBUST Path Strategy Evaluator
Wavelet-based signal approximation with multilevel learning algorithms using genetic neuron selection
Improving COVID-19 Detection in Chest X-Rays Using EfficientNet with Self-Supervised Contrastive Learning
TROJAN: A Scalable Distributed Semantic Network System
Development of "Intelligent WorkFlow System" Using Know-how Acquired Based on Work Order
An Extension of the Back-Propagation Algorithm to Three Dimensions by Vector Product
Classification of Infiltrated Injections During PET/CT Imaging Applying Deep Learning Technique
Transfer Learning with Ensemble Feature Extraction and Low-Rank Matrix Factorization for Severity Stage Classification of Diabetic Retinopathy
An Optimized Graph-based Clustering for Multi-database Mining
A New Temporal CSP Framework Handling Composite Variables and Activity Constraints
Modeling the Plasma Enhanced Chemical Vapor Deposition Process Using Neural Networks and Genetic Algorithms
A Generic Architecture for Dynamic Outdoor Environment
FGP: a virtual machine for database-driven expert systems
Consistency of Chordal RCC-8 Networks
A Generic Algorithmic Framework to Solve Special Versions of the Set Partitioning Problem
Reasoning about numeric and symbolic time information
Towards Individualized Information Navigation Tools that Adapt to User Domain Expertise
PV Forecasting with Constrained Ensemble Learning and Context-Aware Stacking
A Divide and Conquer Algorithm for Dominance Testing in Acyclic CP-Nets
Learning Sparse Support Vector Machine with Relaxation and Rounding
A Heuristics Guided Scheduling Framework for Domains with Complex Conditions
Nestor: A Trail Blazer for Hypertexts
Contourlet Based Interest Points Detector
Tools for Managing Stories and Questions
User Modeling on Communication Characteristics Using Machine Learning in Computer-Supported Collaborative Multiple Language Learning
Finding Rising Stars in Heterogeneous Social Networks
Data Driven Automatic Model Selection and Parameter Adaptation - A Case Study for Septic Shock