yusuke1997/dblp-id-title huggingface dataset:
Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability
An Improved Biclustering Method for Analyzing Gene Expression Profiles
Improving Peer Assessment by Incorporating Grading Behaviors: Models and Practices
Tactical Route Planning: New Algorithms for Decomposing the Map
Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis
A Formal Approach to the Analysis of Priorities of Imprecise Conflicting Requirements
Genetic Algorithm Based Feature Selection for Paraphrase Recognition
A Conventional Dialogue Model Based on Dialogue Patterns
Classification Method for Network Security Data Based on Multi-featured Extraction
A Comparative Survey on NLP/U Methodologies for Processing Multi-Documents
Accommodation Recommendation on Shared Platforms Considering Bidirectional Selection and Review Mechanisms
Evolution of Fractal Shapes for Artists and Designers
Vertex Selection Heuristics in Branch-and-Bound Algorithms for the Maximum k -Plex Problem
Ultrasound Image Segmentation and Classification of Benign and Malignant Thyroid Nodules on the Basis of Deep Learning
A Method for Requirements Analysis and Knowledge Elicitation
Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data
A History-Driven Differential Evolution Algorithm for Optimization in Dynamic Environments
Outrank: a Graph-Based Outlier Detection Framework Using Random Walk
A Methodology for Creating and Adapting Reactive Systems
Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches
Prediction of Heart Disease Using a Hybrid XGBoost-GA Algorithm with Principal Component Analysis: A Real Case Study
Uncertainty-Based Trust estimation in a Multi-Valued Trust Environment
Genetic Algorithms for Partitioning Sets
An L 1 -Regularized naïVE Bayes-Inspired Classifier for Discarding Redundant and Irrelevant Predictors
Consolidating a Heuristic for Incremental Decision Tree Learning through asymptotic Analysis
Using Knowledge-Based Systems with Hierarchical Architectures to Guide Evolutionary Search
RetU-Net: An Enhanced U-Net Architecture for Retinal Lesion Segmentation
Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index
MACE: Mobile Artificial Conversational Entity for Adapting Domain Knowledge and Generating Personalized Advice
Applying k-Separability to Collaborative Recommender Systems
Automated Domain Bias Correction and Its Application in Text-Based Personality Analysis
The C ++ Embeddable Rule System
Automated Early Detection of Astrocytomas Tumor Based on Optimized Adaptive Cluster with Super Pixel Model
COURSR2: An Integrated Time Management System for Lifelong Learners
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions
A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts
Traffic Prediction System Using IoT Cluster Based Evolutionary Under Sampling Approach
Generating Fuzzy Rules by Genetic Method and its Applications
Optimal Assembly of Support Vector Regressors with Application to System Monitoring
A Transaction Model for Parallel Production Systems Part II: Model and Evaluation
Pertinent Knowledge Extraction from a Semantic Network: Application of Fuzzy Sets Theory
Tabu Search to Solve the Shape from Shading Ambiguity
Rewriting Minimizations for Efficient Query Answering over Ontologies
Speckle Noise Reduction of Medical Imaging via Logistic Density in Redundant Wavelet Domain
A New Algorithm for Fuzzy Clustering Handling Incomplete Dataset
Determining The Dimensions of Variables in Physics Algebraic Equations
Effects of Explanation Types on User Satisfaction and Performance in Human-agent Teams
WASD Algorithm with Pruning-While-Growing and Twice-Pruning Techniques for Multi-Input Euler Polynomial Neural Network
An Efficient Hardware Architecture to Support Complex Fuzzy Reasoning
Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health
A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization
Rolling Bearing Fault Detection Using Domain Adaptation-Based Anomaly Detection
Robust Classifiers Using Imprecise Probability Models and Importance of Classes
Portfolios with Deadlines for Backtracking Search
Resistance-Geodesic Distance and Its Use in Image Segmentation
Exact and Hybrid Solutions for the Multi-Objective VM Reassignment Problem
Type Prediction in Noisy RDF Knowledge Bases Using Hierarchical Multilabel Classification with Graph and Latent Features
Constructing Modular Hybrid Rule Bases for Expert Systems
A New Fuzzy Knowledge-based Optimisation System for Management of Container Yard Operations
A Feature Pyramid Based Multi-stage Framework for Object Detection in Low-altitude UAV Images
Outlier Detection Using a GPU-Based Parallel Algorithm: Quantum Clustering
Incremental Updates of Discovered Multi-Level Association Rules
A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites
Concurrent Abductive Logic Programming in Pandora
e-IATROS - A Virtual Medical Doctor and Its Dialogue Systems: Features, Emotion, Learning
Glaucoma Detection in Retinal Fundus Images Based on Deep Transfer Learning and Fuzzy Aggregation Operators
Human Decision Making Model for Autonomic Cyber Systems
Towards Faster Mining of Disjunction-Based Concise Representations of Frequent Patterns
Semantic Biological Image Management und Analysis
Subgoal Partitioning and Global Search for Solving Temporal Planning Problems in Mixed Space
A New SVM Kernel for Keyword Spotting Using Confidence Measures
Location-Independent Transformations: a General Strategy for Implementing Neural Networks
A Multi-Agent System Architecture for Distributed Computer Vision
Efficient Image Inpainting Using Dimensional Space Reduction via Adaptive Patch-based Concept and Rank Lowering Technique
Path-Cost Bounds for Parameterized Centralized Variants of A* for Static and Certain Environments
Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds
High-Level Petri Nets as a Basis for Managing Symbolic and Numerical Information
Sedation of Simulated Icu Patients Using Reinforcement Learning Based Control
A Hybrid Attention-based Deep Model for Lung Cancer Subtype Classification from Multimodality Images
Case-Based Reasoning for Knowledge Acquisition Suggestions
Aggregation of Multiple Reinforcement Learning Algorithms
Kydon Vision System: the Adaptive Learning Model
High Performance Logic Form Transformation
A Co-training Algorithm by Predicting Confidence of Unlabeled Neighbors
Semantic Network Architectures: an Evaluation
Distributed Mining of Association Rules Based on Reducing the Support Threshold
Video Object Segmentation Through Deep Convolutional Networks
Temporal Mediators: Supporting Uniform Accesses to Heterogeneous Temporal Information
A Genetic Algorithm for Decomposition Type Choice in OKFDDs
Enhanced Training for the Locally Recurrent Probabilistic Neural Networks
Navigation of an Autonomous Sewer Inspection Robot Based on Stereo Camera Images and Laser Scanner Data
GPU Accelerated SVM with Sparse Sliced EllR-T Matrix Format
Competitive Learning: A New Meta-Heuristic Optimization Algorithm
Advances in Explainable, Fair, and Trustworthy AI
Learning Gene Network Using Time-delayed Bayesian Network
Hyperparameter-free Regularization by Sampling from an Infinite Space of Neural Networks
Image Enhancement for Impaired Vision: the Challenge of Evaluation
Symbol Recognition in a CAD Environment using a Neural Network
Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets
Visualizing Dynamic Artificial Intelligence Algorithms and Applications
MABWISER: Parallelizable Contextual Multi-armed Bandits
Hybrid Incremental Algorithms for Boolean Satisfiability
Psychological Perceptual Analysis Based on Dance Therapy Using Artificial Intelligence Techniques
Intelligent Neighborhood Exploration in Local Search Method
An Efficient Method for Video Object Detection in Automatic Scoring of Physical Experimental Operations
A Rulebase Management System Using Conceptual Rule Modeling
A Two-Leveled Classification and Retrieval Technique for Process Program Reuse
A Visualization and Design Tool (AVID) for Data Mining with the Self-Organizing Feature Map
Functional Assessment of a Camera Phone-Based Wayfinding System Operated by Blind and Visually Impaired Users
New MDS and Clustering Based Algorithms for protein Model Quality Assessment and Selection
T-satplan: a Sat-based Temporal Planner
A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition
On the Inverse Frequent Itemset Mining Problem for Condensed Representations of Itemsets
Compiling Knowledge-Based Systems to Ada: The PrkAda Core
Monitoring Progress with Dynamic Programming Envelopes
Mining Humanistic Data with Machine Learning to Improve Open Educational Resources (OER) Engagement
Scientific Traveling through IJAIT's 30 Years
TCGD: A Time-Constrained Approximate Guided Depth-First Search Algorithm
Extracting Web User Profiles Using Relational Competitive Fuzzy Clustering
An Agent Based Language for the Development of Distributed Software Systems
A New Viewpoint of S-curve Regression Model and its Application to Construction Management
A Transaction Model for Parallel Rule Execution Part I: Model and Algorithms
Improving Rice Disease Diagnosis Using Ensemble Transfer Learning Techniques
Machine Learning and Nature Inspired Based Phishing Detection: A Literature Survey
On the Glucose SAT Solver
Multimodal Biometrics Authentication in Healthcare Using Improved Convolution Deep Learning Model
Investigating Cloud Adoption Using Influence Diagrams as a Decision Support Model
Domain Adaptation Infrared Forest Fire Detection Method Based on YOLOv5 Framework
A BERT Fine-tuning Model for Targeted Sentiment Analysis of Chinese Online Course Reviews
Gene Family Identification Network Design for Protein Sequence Analysis
A Multi-Agent Based System for Sentiment Analysis of User-Generated Content
Fuzzy Information Diffusion in Twitter by Considering User's Influence
A Novel Two Phase Retrieval Mechanism for a Clinical Case Based Reasoning System for Radiotherapy Treatment Planning
An Effective Algorithm for Incompatibility Abduction Problems
Decomposing Ontologies for the Construction of Distributed Knowledge Bases: The mONTul Method
Bms: a Knowledge-Based Tool for UNIX Performance Tuning
Learning Markov Network Structures Constrained by Context-Specific Independences
Effects of Adaptive Social Networks on the Robustness of Evolutionary Algorithms
Applying connectionist modal logics to distributed knowledge representation problems
Scheme Versioning in a Temporal Object-Oriented Data Model
Predicting Peptide Interactions With Model Class II Mhc Structures
Automated Knowledge Acquisition from Encyclopedic Texts
Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm
Knowledge-Based Simulation of Regulatory Action in lambda phage
Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics
Efficiency Mechanisms for a Class of Blackboard Systems
Research on Application of Graph Neural Network in Water Quality Prediction
CPMAN: Change Point Detection Approach in Time Series Based on the Prediction of Multi-stage Attention Networks
Boolean-Based Dependency Management for the Eclipse Ecosystem
Logical Encoding of Argumentation Frameworks with Higher-order Attacks and Evidential Supports
Covid-19 Versus Lung Cancer: Analyzing Chest CT Images Using Deep Ensemble Neural Network
Fatigue Detection System in Construction Site Using Extension Based Equilibrium with Capsule Autoencoder Network
Skeptical Abduction
A Survey on the Parallel Distributed Processing of Production Systems
Building an Image Annotation and Tourism Recommender System
Ccdd: an Enhanced Standard ECG Database with its Management and Annotation Tools
Cost-Sensitive Probabilistic Contingent Planning for Web Service Composition
Fairness for Deep Learning Predictions Using Bias Parity Score Based Loss Function Regularization
A Neurodynamic Optimization Approach for L 1 Minimization with Application to Compressed Image Reconstruction
Abax: Extracting Mathematical Formulas from Chart Images Using Spatial Pixel Information
Using detailed Independent 3D Sub-Models to Improve Facial Feature localisation and Pose estimation
Building High Performance Explainable Machine Learning Models for Social Media-based Substance Use Prediction
Towards Scaleable Protein Structure Comparison and Database Search
A Methodology for Scaling up Classification Algorithms
Editorial: Intelligent Biomedical Systems
An Object-Oriented Rule Evaluation Scheme for Logical Databases in Massively Parallel Environment
Lazy Learner on Decision Tree for Ranking
Adequacy of Limited Testing for Knowledge Based Systems
Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera
Function Granularity Estimation for Multimodal Optimization
Breast Masses Segmentation: A Framework of Skip Dilated Semantic Network and Machine Learning
Logic Programming and Default Logic
Maintaining Spatial Constraints Using a Dimension Graph Approach
Retrieving Heart Rate Sequences
FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps
Improving Performance of Inductive Models through an Algorithm and Sample Combination Strategy
Empirical Assessment of Machine Learning Based Software Defect Prediction Techniques
An Expanded MLP Neural Network for Fast Angiodysplasia Lesions Segmentation in Capsule Endoscopy Images
A Toolbox for Analyzing Programs
A Hopfield-Type Neural Network Based Model for Temporal Constraints
Modeling WordNet Glosses to Perform Word Sense Disambiguation
Tuning Strategies in Constrained Simulated Annealing for Nonlinear Global Optimization
An Improved spectral conjugate Gradient Neural Network Training Algorithm
Motion Planning with Energy Reduction for a Floating Robotic Platform Under Disturbances and Measurement Noise Using Reinforcement Learning
Empirical Analysis on Machine Translation Possibilities for Low-Resource Santali Language
The Influence of Hubness on NN-Descent
Towards Implicit User Modeling Based on Artificial Intelligence, Cognitive Styles and Web Interaction Data
Deterministic Parallel MaxSAT Solving
Analysis of Reference Relationships among Research Papers, Based on citation Context
Analyzing Infant Cries Using a Committee of Neural Networks in Order to Detect Hypoxia Related Disorder
Deep Learning-based Mental Health Monitoring Scheme for College Students Using Convolutional Neural Network
SAT-Based Data Mining
Grassmannian Spectral Regression for Learning and Classification
Agent-Based, Context-Aware Information Sharing for Ambient Intelligence
Data-driven Gene Regulatory Networks Inference Based on Classification Algorithms
Pulsar Detection for Wavelets SODA and Regularized Fuzzy Neural Networks Based on Andneuron and Robust Activation Function
Race Classification from Face Images using Local Descriptors
An Intelligent Learning Approach to L-Grammar Extraction from Image Sequences of Real Plants
A Graph Based Object Description and Recognition Methodology
Unsupervised Discovery of Visual Face Categories
Towards a DNA Solution to the Shortest Common Superstring Problem
Decision trees for pernicious pages detection
Recurrent Neural Networks for Musical Pitch Memory and Classification
Markerless Human Motion Tracking from a Single Camera Using Interval Particle Filtering
Solving Incremental Satisfiability
ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators
WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities
A Tool for Addressing the Ramification Problem in Temporal Databases
An Associative Data Parallel Compilation Model for Tight Integration of High Performance Knowledge Retrieval and Computing
A Knowledge Preservation and Re-Use Tool Based on Context-Driven Reasoning
A Visual Tracking Scheme for Accurate Object Retrieval in Low Frame Rate Videos
Automatic Assessment of Students' Free-Text Answers with Different Levels
Recovering the Global Structure from Multiple Local Bayesian Networks
Partial Label Dimensional Reduction via Semantic Difference Information and Manifold Regularization
A Theoretical Framework for Trust-Based News Recommender Systems and its Implementation using Defeasible Argumentation
Sample Complexity for Function Learning Tasks Through Linear Neural Networks
Predictive Policing: A Fairness-aware Approach
Enhancing Speech Assistive Systems Through a Sequence-to-Vector Representation Approach for Disordered Speech
Neural Network-based Tool for Survivability Assessment of K-variant Systems
Semantically Aware Web Service Composition Through AI Planning
Lung CT Image Segmentation Using Reinforcement Learning
Transforming Recursive Processes into Efficient Algorithms: Call-Graph Caching for Artificial Intelligence
Agent-Based Communication for Distributed Workflow Management Using Jini Technologies
Feature Selection for Optimization of Wavelet Packet Decomposition in Reliability Analysis of Systems
Elicitation of Network Service Specifications from Natural Language Descriptions at Various Viewpoints
Data Flow Coherence Constraints for Pruning the Search Space in ILP Tools
The Computation of Inverse Time Variant Functions Via Proper Pseudoinverse Bounding: a Radial Basis Function Network Approach
Rendering Aesthetic Impressions of Text in Color Space
Efficiency through Reduced Communication in Message Passing Simulation of Neural Networks
Text Document Clustering Using Modified Particle Swarm Optimization with k-means Model
Toward Domain Adaptive Learning-Based Variation Autoencoder Emotional Analysis in English Teaching
Evaluating the intelligent features of a web-based intelligent computer assisted language learning system
Bee Colony Optimization with Local Search for Traveling Salesman Problem
Examining the use of conceptual graphs in adaptive web-based systems that aid terminology learning
Face Detection and Verification Using Genetic Search
Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage
Learning Relational User Profiles and Recommending Items as Their Preferences Change
The Role of Activity and Similarity in Rating and Social Behavior in Social Recommender Systems
An Assumptive Logic Programming Methodology for Parsing
Experiments with learning opening strategy in the game of go
Automatic Production of Test Data with a Multiple Batch-Optimistic Method
A Novel Quantum Immune Algorithm for Multiobjective Flexible Job Shop Scheduling
FREEDOM: Effective Surveillance and Investigation of Water-borne Diseases from Data-centric Networking Using Machine Learning Techniques
Mdl-based context-free graph grammar induction and applications
Variance Counterbalancing for Stochastic Large-scale Learning
Rule Responder: Rule-Based Agents for the Semantic-Pragmatic Web
Natural Language Processing Approach for UML Class Model Generation from Software Requirement Specifications via SBVR
A Constraint-Based Local Search for Offline and Online General Vehicle Routing
Resolving Charging Station Placement Issues for Electric Vehicles: Hybrid Optimization-Assisted Multi-Objective Framework
A Self-Acquiring Knowledge Process for MCTS
Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis
Hybrid Search Strategies for Heterogeneous Search Spaces
Mining Undominated Association Rules Through Interestingness Measures
A Novel Approach of Table Detection and Analysis for Semantic Annotation
Co-Creation in Generic Educational Activities: A Swarming Framework
Editorial: Recognizing Professor and Asia University President Jeffrey P. Tsai's Contributions to IJAIT
Speaker-independent speech recognition based on fast neural network
Edge AI-Driven System for Silkworm Pupae Gender Classification and Process Control
An Intelligent System for Managing and Utilizing Information Resources Over the Internet
Letter from the Founder of IJAIT on 30th Anniversary
Investigating the Scalability of Algorithms, the Role of Similarity Metric and the List of Suggested Items Construction Scheme in Recommender Systems
Modeling and Augmenting Game Entertainment through Challenge and Curiosity
Generative Inpainting of High-resolution Images: Redefined with Real-ESRGAN
The Machine Learning Toolbox Consultant
Acquisition and Exploitation of Qualitative Aspects in 3D Scene Synthesis
An Ensemble Model for Data Imputation to Support Pervasive Applications
Learning Planning Domain Descriptions in RDDL
English-Japanese Machine Translation: Verb-Based Noun Classification Approach
Understanding Case Based Recommendation: A Similarity Knowledge Perspective
A Persian Medical Question Answering System
Is Error-Based Pruning Redeemable?
Modeling of Parkinson's Disease Using Fuzzy Cognitive Maps and Non-Linear Hebbian Learning
An ensemble of classifiers approach to user modeling on adaptive learning communities
Image-Based Evaluation of Vascular Residual Strain
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming
Intelligent Optimization Algorithm for Support Vector Machine: Research and Analysis of Prediction Ability
Iterative Design of Neural Network Classifiers Through Regression
Using Contextual Topic Model for a Query-Focused Multi-Document Summarizer
Fuzzy Logic Derivation of Neural Network Models with Time Delays in Subsystems
Analysis of Ensemble Classification of Twitter Sentiments Using New Dependency Tree Based Approach
Cost Sensitive Face Security Verification Based on Limited Expression-Pose Pattern Sparse Representation Model
A New Biclustering Algorithm Based on Association Rule Mining
Improving Multi-Robot Coordination by Game-Theoretic Learning Algorithms
Assessing a New Projective Problem Solving Tool Using Conjoint Analysis
Fault Diagnosis of Multiprocessor Systems Based on Genetic and Estimation of Distribution Algorithms: a Performance Evaluation
An Integrated Model Combined ARIMA, EMD with SVR for Stock Indices Forecasting
Osteoporosis Detection Using Machine Learning Techniques and Feature Selection
The Dead-reckoning Navigation Guidance Law Based on Neural Network Collaborative Forecasting
Mission-adaptable Route Planning in Uncertain and Adversarial Environment
Synthesis of Cost-Optimal Strong Plans in Non-Deterministic Domains
Machine Learning on Congestion Analysis Based Real-Time Navigation System
HEp-2 Cell Classification Using Descriptors Fused into the Dissimilarity Space into the Dissimilarity Space
A New Sentence Reduction Technique Based on a Decision Tree Model
Learning the Structure of Augmented Bayesian Classifiers
Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data
An Evolutionary and Local Refinement Approach for Community Detection in Signed Networks
Modular Structures and Robustness of Protein Networks
Neural Networks as Classification Mechanisms of Complex Human Activities
Cognitive Modeling of Spatial Reference for Human-Robot Interaction
Fluent Editor and Controlled Natural Language in Ontology Development
Interrelated Two-Way Clustering and its Application on Gene Expression Data
Image Enhancement Approach for the Underwater Images Using the Optimized Color Balancing Model
Multi-Level Clustering of Phylogenetic Profiles
Silo: Integrating Logic in Objects for Knowledge Representation and Reasoning
Consensus-Driven Cluster Analysis: Top-Down and Bottom-Up Based Split-and-Merge Classifiers
Parallel Implementations of Neural Networks
Extrapolating from Limited Uncertain Information in Large-Scale Combinatorial Optimization Problems to Obtain Robust Solutions
Exploiting Linked Data for Open and Configurable Named Entity Extraction
A Short Introduction to Procedural Content Generation Algorithms for Videogames
Combination of Multiple Feature Selection Methods for Text Categorization by using Combinatorial Fusion Analysis and Rank-Score Characteristic
Noise Handling with Extension Matrices
Global Rule Induction for Information Extraction
Extreme Learning Machine Based Prognostics of Battery Life
Intelligent Program Correction and Evaluation System