yusuke1997/dblp-id-title huggingface dataset:
Computing All Equilibria in Ordinal Graphical Games
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation
Correlation Heuristics for Constraint Programming
Detection of Negative Emotional States in Real-World Scenario
Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems
Rapid Autonomy Transfer in Reinforcement Learning with a Single Pre- Trained Critic
Author Identification in Imbalanced Sets of Source Code Samples
A Voting System to Optimize Daily Forest Fire Prediction
A new approach to rule induction and pruning
Constraint-Based Local Search for the Distance- and Capacity-Bounded Network Design Problem
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning
An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification
Improved Pig Behavior Analysis Through Strategic Data Preprocessing Framework in Machine Learning
High-Speed Rail Operating Environment Recognition Based on Neural Network and Adversarial Training
Recognizing Binary Code Semantics Towards Achieving Software Segmentation
Finding Orientation-Sensitive Patterns in Snapshot Databases
Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data
Novelty detection for unsupervised continual learning in image sequences
A Neuro-Expert System Architecture with Application to Alarm Processing in a Power System Control Center
Structured matching: a task-specific technique for making decisions
Oz Scheduler: A Workbench for Scheduling Problems
An improved register allocation algorithm for the WAM model
Toward Easy Parallel SAT Solving
Mining Prevalence-Based Ratio Patterns
GESIA: Uncertainty-based Reasoning for a Generic Expert Systems Intelligent User Interface
A Generalized Cyclic-Clustering Approach for Solving Structured CSPs
Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm
Search strategies for reasoning about spatial ontologies
Is Production System Match Interesting?
Learning Latent Semantic Attributes for Zero-Shot Object Detection
Towards Ontological Reconciliation for Agents
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python
Identification of Dynamic Parameters for Gene Networks
Adaptive Constructive Interval Disjunction
Exploiting Vector Map Properties for GIS Data Copyright Protection
The Space Algebra: Spatial Reasoning without Composition Tables
An Automatic Method for Identifying Huntington's Disease using Gait Dynamics
Managing Inference Process in Student Modeling for Intelligent Tutoring Systems
A Formal Approach to Personalization
AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier
Compound Concept Semantic Similarity Calculation Based on Ontology and Concept Constitution Features
Multi-Step Adaptive Attack Agent: A Dynamic Approach for Jailbreaking Large Language Models
Learning Object Models in Visual Semantic Networks
A Real-Time Burst Detection Method
Determination of Soil Damage by Fuzzy Analysis
Data Mining Based Collaborative Analysis of Microarray Data
Neural Data Mining for Credit Card Fraud Detection
Intelligent content-based retrieval
Improving Navigation in Critique Graphs
ALSTM: Adaptive LSTM for Durative Sequential Data
Kullback-Leibler Divergence Based Kernel SOM for Visualization of Damage Process on Fuel Cells
Face Recognition Using Multiple Classifiers
Dynamically Configurable Combinatory Logic Array as Boolean Neural Network
A New Arc Consistency Algorithm for CSPs with Hierarchical Domains
An Intelligent Cellular Automaton Model for Crowd Evacuation in Fire Spreading Conditions
Controller Agents for Constraints Solving: Implementation and Use of CACS Prototype
PARTES: A Partitioning Scheme for Parallel Matching
A domain-independent routine design tool
HappyMovie: A Facebook Application for Recommending Movies to Groups
Haziness for Common Sensical Inference from Uncertain and Inconsistent Linear Knowledge Base
CapsRec: A Capsule Graph Neural Network Model for Social Recommendation
Graph-Based Attention Networks for Aspect Level Sentiment Analysis
Agent Division and Fusion for Task Execution in Undependable Multiagent Systems
Hard Neighboring Variables Based Configuration Checking in Stochastic Local Search for Weighted Partial Maximum Satisfiability
Integrating Large Language Models with Formal Planning to Automate the Design and Validation of Biosignal Processing Pipelines
A Hybrid Sentiment Lexicon for Social Media Mining
An Arc-Consistency Algorithm Optimal in the Number of Constraint Checks
GAMBAD: A Method for Developing Systems of Systems
An Artificial Intelligence Approach to Course Timetabling
A Pendulum Effect of Expert Playing in Games
Assessment of a Multi-Strategy Classifier for an Embedded Software System
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence
Detecting Sentences that May be Harmful to Children with Special Needs
Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact
Model management and the automation of computer system operations
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining
KBMDL: A Knowledge Based Model Description Language for Decision Support
Detecting Similarities and Differences in Images Using the PFF and LGG Approaches
Nonlinear Speech Model Based on Support Vector Machine and Wavelet Transform
An individual-dependent differential evolution with dual information guidance
Incremental learning mechanisms for speech understanding
SMSP-EMOA: Augmenting SMS-EMOA with the Prospect Indicator for Multiobjective Optimization
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique
Pruning Fuzzy ARTMAP using the Minimum Description Length Principle in Learning from Clinical Databases
Software Effort Prediction Using Regression Rule Extraction from Neural Networks
An intelligent mediator for database application development
Temporal Interpretations of Sentences with Complement Clauses
AI methodology as a key for software reusability
Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions
Aspect-Based Twitter Sentiment Classification
Numerical Information Fusion: Lattice of Answers with Supporting Arguments
A Fuzzy Based Model Coordination for Two-Level Optimal Control of Robot Manipulators
A Factor-Based Model for Context-Sensitive Skill Rating Systems
Hyperparameter Tuning using Quantum Genetic Algorithms
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning
Ontology View Extraction: An Approach Based on Ontological Meta-properties
A Neural Network-Based Segmentation Tool for Color Images
Multi-dimensional Raycasting for Fuzzy Pattern Classication
Boosting Constraint Satisfaction Using Decision Trees
Map Generation From Overlapping Microscopy Images Using Stitching Methods
Using Fuzzy Logic in ITS-Course Generation
Sub-Ontology Evolution for Service Composition with Application to Distributed E-Learning
Deriving User Interface from Ontologies: A Model-Based Approach
A Reusable Methodology for the Instantiation of Social Recommender Systems
GMAL: a tool for AI systems construction
A Novel Proposed Pooling for Convolutional Neural Network
Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction
A heuristic, real-time path planning for collision free navigation in a dynamic multiple robots unknown environment
Using Classical Planning in Adversarial Problems
A Fuzzy Logic Approach to Search Results - Personalization by Tracking User - Web Navigation Pattern and Psychology
Computing Max-SAT Refutations using SAT Oracles
Second order hidden Markov models for place recognition: new results
Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization
A Lattice-Based Model for Recommender Systems
New crossover operators in genetic algorithms
Constraint-Based Learning for Sensor Failure Detection and Adaptation
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
Behavioral Decision Based on Abstraction of Pheromone Distribution for Transport Vehicles
Cross-Architecture Relational Consistency for Point Cloud Self-Supervised Learning
A Knowledge Representation Framework for Evolutionary Simulations with Cognitive Agents
PAMELA: a generic and light multi-agent platform
Modeling Missing Data Based on Neural Fuzzy Inference for Implicit Recommendation
The Design and Implementation of a Rule-Based Expert System Language
Fuzzy Information Retrieval Model Based on Multiple Related Ontologies
Dedicated Machine Constraint Scheduling as a Shortest-Path Problem
Multi-Algorithmic Techniques and a Hybrid Model for Increasing the Efficiency of Recommender Systems
SDF-NN: A Deep Neural Network with Semantic Dropping and Fusion for Natural Language Inference
Deep Features Representation of Word Image for Keyword Spotting in Historical Mongolian Document Images
A Hybrid Tractable Class for Non-binary CSPs
New Transitive Closure Algorithm for Recursive Query Processing in Deductive Databases
Rethinking the DeepSMOTE Penalty Term and its Role in Imbalanced Learning
Active Classification of Large 3D Shape Collection
Explainable AI Assisted Evolutionary Search of Engineering Designs
From Robots to Reinforcement Learning
An algorithm for identification of relations among rules
Galois Lattice: A Framework for Concept Learning-Design, Evaluation and Refinement
N-to-2-Space Mapping for Visualization of Search Algorithm Performance
Implementing an action language using a SAT solver
Minimality and Convexity Properties in Spatial CSPs
A tool-supported approach to engineering HTN planning models
Output Thresholding for Ensemble Learners and Imbalanced Big Data
An Analytical Performance Model of Parallel Production Systems
RakSOR: Ranking of Ontology Reasoners Based on Predicted Performances
A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis
Social Reinforcement Learning in Game Playing
Multi-task Learning for Relation Extraction
A Stable Spatial Pooling Algorithm for Hierarchical Temporal Memory Network
Using structural and procedural knowledge in database and knowledge base integration
A Study of Risk Analysis Methods Based on Uncertain Event Analysis in Strategy Decision-Making
Simultaneous Feature and Model Selection for High-Dimensional Data
Combining AceWiki with a CAPTCHA System for Collaborative Knowledge Acquisition
A Novel Method to Enhance Recommendation Systems via Leveraging Multiple Types of Implicit Feedbacks
Determining Representativeness of Training Plans: A Case of Macro-Operators
Multi-view Transfer Learning with Adaboost
Ramification Algorithm for Transporting Routes in R2
Multilayer of ring-structured feedback network for production system processing
Fast retrieval of electronic documents in digital libraries
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge
Adaptive Multi-Model CMAC-Based Supervisory Control for Uncertain MIMO Systems
Knowledge Transfer for Reducing Calibration Time in Brain-Computer Interfacing
Uncertainty Management for Rule-Based Decision Support Systems
Structuring Typical Evolutions Using Temporal-Driven Constrained Clustering
Learning Link-Based Classifiers from Ontology-Extended Textual Data
Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making
A Comparative Analysis of Classifiers in the Recognition of Packed Executables
Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case
Image Segmentation of Corrosion Damages in Industrial Inspections
Propositional logic for validating software object interrelationships
A Zero-shot Learning Method with a Multi-Modal Knowledge Graph
Training Electric Vehicle Charging Controllers with Imitation Learning
A reactive method for real time dynamic vehicle routing problem
Meta-COOP: An AI Tool with Embedding Rules, Frames, and Numerical Computing in an Object-Oriented Environment
Parsing-Based Planner for Totally Ordered HTN Planning with Task Insertion
X-ray Image Enhancement: A Technique Combination Approach
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities
Real-time classification of handball game situations
An Environment Visual Awareness Approach in Cognitive Model ABGP
Empirical Methods for Modelling Persuadees in Dialogical Argumentation
Temporal Conditional Preferences over Sequences of Objects
Dynamic Community Detection Algorithm based on Allocating and Splitting
Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos
ICTAI 2009, 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, 2-4 November 2009
Enhanced soft attention mechanism with an inception-like module for image captioning
Multiple Contraction through Partial-Max-SAT
Representing and propagating constraints in temporal reasoning
Modeling Soft Global Constraints as Linear Programs in Weighted Constraint Satisfaction
On the Learning of Explainable Classification Rules through Disjunctive Patterns
Using Parallel Techniques to Improve the Computational Efficiency of Evidential Combination
Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System
An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control
Mathematical Analysis of Diabetes Related Proteins Having High Sequence Complexity
Optimization of Control Agents Shifts in Public Transportation: Tackling Fare Evasion with Machine-Learning
A New Genetic Programming Approach in Symbolic Regression
Checking Agent Intentions in Games
Zero or few shot knowledge graph completions by text enhancement with multi-grained attention
Predict the Emergence: Application to Competencies in Job Offers
On Semantics of Hierarchical Planning Domain Models with Decomposition Constraints and Empty Methods
A Robust Single-Sensor Face and Iris Biometric Identification System Based on Multimodal Feature Extraction Network
Applying Deep Learning and Wearable Devices for Educational Data Analytics
An HMM-Based Gesture Recognition Method Trained on Few Samples
Automated Test Data Generation Using MEA-Graph Planning
Special purpose array processor implementation of neural networks
Discrete Variable Generation for Improved Neural Network Classification
Combining models across algorithms and samples for improved results
Generalized scheduling development environment
Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation
Language Model Combination for Community-based Q & A Retrieval
The role of learning in logic synthesis
A Unified Framework for Defect Data Analysis Using the MBR Technique
TED-Turbine Engine Diagnostics: A Practical Application of a Diagnostic Expert System
Metrics Based Classification Trees for Software Test Monitoring and Management
MyGym: Modular Toolkit for Visuomotor Robotic Tasks
Neurules: Improving the Performance of Symbolic Rules
Learning to Navigate and Track Using a Decentralized Reinforcement Learning Framework for UAV Operations in GNSS-Denied Terrain
A knowledge-driven methodology for eliciting and restructuring software requirements for distributed design
Lazy ad hoc Explanations for the Sum Constraint
Mechanizing skeptical abduction and its applications to artificial intelligence
Iteration, Mother of Transferability: A Study of Black-Box Iterative Adversarial Attacks Across CNNs and Vision Transformers
A Local Approach to Reasoning with Conditional Knowledge Bases
Device Behavior Identification in Encrypted Home Security Camera Traffic
Knowledge Refinement to Debug and Maintain a Tablet Formulation System
Translation of an Argumentation Framework into a CP-Boolean Game
Web Page Segmentation and Its Application for Web Information Crawling
Time-Weighted LSTM Model with Redefined Labeling for Stock Trend Prediction
Data Selection Using Decision Tree for SVM Classification
A Robust Pickup and Delivery Problem with Uncertain Travel Time
TMRM: Two-Stage Multi-Task Recommendation Model Boosted Feature Selection
HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning
Inducing Grokking with Distribution Shifts
A Practical Student Model in an Intelligent Tutoring System
AgileAD: Anchor-Guided Contrastive Learning with a General Data Augmentation Strategy for Time Series Anomaly Detection
Dialectical Proofs Accounting for Strength of Attacks in Argumentation Systems
Identifying Optimal-Size Sorting Networks with Reinforcement Learning
An Ontology-Based Conceptual Framework to Improve Rock Data Quality in Reservoir Models
Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection
Evolving SMT Strategies
The Taxonomic Cognitive Map Query Language: A General Approach to Analyse Cognitive Maps
Implicit Feature Alignment For Knowledge Distillation
A Social Transformation-Emergence of the Knowledge Society
Block-term Dropout For Robust Adversarial Defense
Finding the appropriate harvest time of coffee fruits using convolutional neural networks
SCD: Sampling-based Class Distribution for Imbalanced Semi-Supervised Learning
FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors
Collective Decision-Theoretic Planning for Planet Exploration
Planning with POMDPs Using a Compact, Logic-Based Representation
Improved Affinity Propagation Clustering for Business Districts Mining
PARIS: A Parallel Inference System
Mixed Radix Weight Totalizer Encoding for Pseudo-Boolean Constraints
A Legal Judgment Prediction Model Based on BERT, Attention, and Graph Convolutional Network
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
Perpendicular Bisector Constraint on Artificial Neural Network
RETE and chart parsing from bottom-up call-graph caching
Autonomic Computing and Ontologies to Enable Context-aware Learning Design
Asymmetric Ternary Networks
First Steps towards an Intelligent Catalogue within the Open European Nephrology Science Center - OpEN.SC
An Effective Support Vector Machines (SVMs) Performance Using Hierarchical Clustering
Attribute Weighted Value Difference Metric
Merging Qualitative Constraint Networks in a Piecewise Fashion
Searching Optimal Resequencing and Feature Assignment on an Automated Assembly Line
Neural Network Optimization Tool Based on Predictive MDL Principle for Time Series Prediction
A Method for Translating CLP (R) Rules into Objects
IDNet: A Single-Shot Object Detector Based on Feature Fusion
Enhancing Profit by Predicting Stock Prices using Deep Neural Networks
Cube-CNN-SVM: A Novel Hyperspectral Image Classification Method
Adaptive Behavioral Programming
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction
A game theoretic approach to curriculum reinforcement learning
An Architecture for Planning in Uncertain Domains
SOON: Specifically Optimized One-Stage Network for Object Detection in Remote Sensing Imagery
Fuzzy Leaky Bucket with Application to Coordinating Smart Appliances in Smart Homes
A Study of Selective Neighborhood-Based Nai"ve Bayes for Efficient Lazy Learning
PROFIM: Prolog for image management
Situational Assessment of Wildfires: a Fuzzy Spatial Approach
(Generic) Packages for Logic Programs
New Approaches to the Identification of Dependencies between Requirements
Dynamic Polarity Adjustment in a Parallel SAT Solver
A Multi-Agent System to the Common Management of a Renewable Resource: Application to Water Sharing
Selection Process of Intelligent Decision Support Tool for Real-Time Monitoring System
An event-based real-time logic to specify the behavior and timing properties of real-time systems
Pre-reading Activity over Question for Machine Reading Comprehension
GLAD-CSC: Global-Local Attention with Dynamic Confusion Management for Chinese Spelling Correction
Credit Risk Prediction Based on SC-CTGAN for Imbalanced Datasets
Clustering Shift Graph Convolutional Network for Taxi Origin-Destination Demand Prediction
Data Acquisition with Active and Impact-Sensitive Instance Selection
Local Search Based on Conflict Analysis for the Satisfiability Problem
Automatic Extraction of Ground-Glass Opacity Shadows on CT Images of the Thorax by Correlation between Successive Slices
EmoEM: Emotional Expression in a Multi-turn Dialogue Model
SSCS-λ: A Cellular Automata-Based Scheduler with Stochastic Update Based on the Neighbourhood States
Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection
Constrained State-Preserved Extreme Learning Machine
Encoding CSPs with Zero-Suppressed Decision Diagrams
New Computational Aspects in Master-Slave Systems of Semantic Schemas
Guided Mutations in Cooperative Coevolutionary Algorithms for Function Optimization
Photometric Invariant Projective Registration Using ECC Maximization
A Reactive Agent-Based Decision-Making System for SBCE
Quadratic Assignment Contrastive Loss and Application on Graph Matching
Integrating of AI, Database, and Software Engineering - Research Issues, Practical Problems (Panel)
Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm
Enhanced Multimodal Sentiment Analysis via Tensor Decomposition and Hypergraph Convolutional Networks
Schema survival rates and heuristic search in genetic algorithms
NSA algorithm and its computational complexity-preliminary results
Zigzagging Strategies for Temporal Induction
Bayesian Unigram-Based Inference for Expanding Abbreviations in Source Code
Algebraic Temporal Specifications with Extended TUS. Hierarchical Granular Terms and Their Applications
From "I Like" to "I Prefer" in Collaborative Filtering
Asynchronous Computing of a Discrete Voronoi Diagram on a Cellular Automaton Using 1-Norm: Application to Roadmap Extraction
On transformation of logic specifications into procedural programs
Enhancing Medicare Fraud Detection: Random Undersampling Followed by SHAP-Driven Feature Selection with Big Data
Using natural language and stereotypical knowledge for acquisition of software models
Automatic Heliothis Zea Classification Using Image Analysis
FPNES: fuzzy Petri net based expert system for bridges damage assessment
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
Inference of High-Order Epistatic Interactions Using Generalized Relevance Learning Vector Quantization with Parametric Adjustment
A Convolutional Neural Network Based Infrared-Visible Image Fusion Method and its Application in Aerospace Measurement and Control
Concept Classification Using a Hybrid Data Mining Model
Combining Multiple Inclusion Representations in Numerical Constraint Propagation
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
Boosting the Performance of CBR Applications with jCOLIBRI
An Operating Context-Sensitive Approach to Fault Detection of Mechatronic Systems
Evolution of Deterministic Hill-climbers
A Hybrid Multi-objective Evolutionary Algorithm for Energy-Aware Allocation and Scheduling Optimization of MPSoCs
Ontology-Guided Hybrid Loss for Fault Classification in Oil & Gas
Adaptive Soft Bid Determination in Bidding Strategies for Continuous Double Auctions
Local Search with Configuration Checking for SAT
Automatic Identification of Alzheimer's Disease and Epilepsy Based on MRI
A Natural Language Processing and Semantic-Based System for Contract Analysis
An intelligent network service prototype using knowledge processing
Terroristic Content Detection using a Multi-scene classification system
Ultimately Periodic Qualitative Constraint Networks for Spatial and Temporal Reasoning
Paper Web Quality Profile Analysis Tool Based on Artificial Neural Networks