yusuke1997/dblp-id-title huggingface dataset:
Evaluating AI Agents for Cyber Defense: A Comparison of Deep Reinforcement Learning and LLM Approaches
Generating and Applying Rules for Interval Valued Fuzzy Observations
The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset
Learning Negotiation Policies Using IB3 and Bayesian Networks
Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement
Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering
Causality in Categorical Data Using Geometric Complexity
Energy Saving by Means of Fuzzy Systems
Optimizing Web Structures Using Web Mining Techniques
Poly-transformation
Cost-Sensitive Splitting and Selection Method for Medical Decision Support System
Visualisation of Temporal Interval Association Rules
Predicting Online Review Scores Across Reviewer Categories
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models
Rapid and Low-Cost Evaluation of Multi-fidelity Scheduling Algorithms for Hyperparameter Optimization
Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules
Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments
Markov Random Field Based Convolutional Neural Networks for Image Classification
Explanatory Inference under Uncertainty
Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo H MR Spectra
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques
Mining Dependence Structures from Statistical Learning Perspective
Using Fuzzy Sets in Contextual Word Similarity
Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques
Domain Adaptation in Transformer Models: Question Answering of Dutch Government Policies
Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs
MIHT: A Hoeffding Tree for Time Series Classification Using Multiple Instance Learning
Evaluating Football Player Actions During Counterattacks
A Multitask Learning Approach to Face Recognition Based on Neural Networks
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Deep Learning and Sensor Fusion Methods for Studying Gait Changes Under Cognitive Load in Males and Females
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing
Multi-agent Reinforcement Learning for Control Systems: Challenges and Proposals
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images
Multi-stage Classification for Audio Based Activity Recognition
Regional Models for Nonlinear System Identification Using the Self-Organizing Map
Understanding Learner's Drop-Out in MOOCs
AI-Based Data Augmentation for Cleft Lip Assessment: Generating Realistic Synthetic Videos to Improve Clinical Outcomes
A Novel Multiobjective Evolutionary Algorithm Based on Min-Max Strategy
An Extension of Multi-label Binary Relevance Models Based on Randomized Reference Classifier and Local Fuzzy Confusion Matrix
Bregman Divergences and the Self Organising Map
Learning User Comfort and Well-Being Through Smart Devices
Exploration of Bagging Ensembles Comprising Genetic Fuzzy Models to Assist with Real Estate Appraisals
Trustworthy Emergency Management in Radiation Oncology: A Blockchain-Powered System with AI and IoT Integration
Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive Survey
Typical Testors Generation Based on an Evolutionary Algorithm
Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner's Dilemma
Categorical Big Data Processing
A Concept-Based Inter-lingua and Its Applications to Multilingual Text and Web Mining
Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning
Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent
Evolving Technical Trading Strategies Using Genetic Algorithms: A Case About Pakistan Stock Exchange
Memory Combination-Based Approaches for Multi-label Classification on Non-Stationary Data Streams
Study of Collective Robotic Tasks Based on the Behavioral Model of the Agent
Mining Frequent Sequential Patterns under a Similarity Constraint
Network Management Based on Domain Partition for Mobile Agents
Intelligent Engineering and Its Application in Policy Simulation
NMF and PCA as Applied to Gearbox Fault Data
New Medical Diagnostic Method for Oriental Medicine Using BYY Harmony Learning
Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports
Effective Prevention of Semantic Drift in Continual Deep Learning
Support Tool for Multi-agent Development
Generalized Derivative Based Kernelized Learning Vector Quantization
Best Subset Feature Selection for Massive Mixed-Type Problems
A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction
Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions
A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems
Patent Trend Mining for Internet of Things in Logistics
DNA Algorithms for Rough Set Analysis
Agent Compromises in Distributed Problem Solving
An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification
Distinguishing Real and Virtual Edge Intersection in Pairs of Uncalibrated Images
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
Modeling of the German Yield Curve by Error Correction Neural Networks
An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots
Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running
New Application of Graph Mining to Video Analysis
Toward Transitive Dependence in MAS
Using the Multivariate Normal to Improve Random Projections
Crossover Operator Using Knowledge Transfer for the Firefighter Problem
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Detecting a Compact Decision Tree Based on an Appropriate Abstraction
Glide Ratio Optimization for Wind Turbine Airfoils Based on Genetic Algorithms
Portfolio Optimization Using SPEA2 with Resampling
EMnGA: Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Synchronising Fuzzy Labels in Federated Evolutionary Systems: A Preliminary Study
Fourier Transform Based Spatial Outlier Mining
Biclusters Evaluation Based on Shifting and Scaling Patterns
The Security Architecture and Key Technologies Research of Smart Water Resource
Compensation for Speed-of-Processing Effects in EEG-Data Analysis
Dimensionality Reduction with Image Data
Surface Spatial Index Structure of High-Dimensional Space
A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems
Chinese Character Recognition - Comparison of Classification Methodologies
Pattern Password Authentication Based on Touching Location
Performance Evaluation of Hybrid Implementation of Support Vector Machine
Writer Identification Using a Hybrid Method Combining Gabor Wavelet and Mesh Fractal Dimension
Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results
Comparing Ranking Learning Algorithms for Information Retrieval Systems
Duplicate Candidate Elimination and Fast Support Calculation for Frequent Subgraph Mining
Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings
Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images
A Fuzzy Set Based Trust and Reputation Model in P2P Networks
Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification
Reduced Attribute Oriented Inconsistency Handling in Decision Generation
Automatic Order of Data Points in RE Using Neural Networks
Feature Selection in Click-Through Rate Prediction Based on Gradient Boosting
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems
Behaviour and Markets: The Interaction Between Sentiment Analysis and Ethical Values?
Classification of Household Devices by Electricity Usage Profiles
A Transitional View of Immune Inspired Techniques for Anomaly Detection
On Building XML Data Warehouses
Clustering with Reinforcement Learning
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network
Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video
A Clustering Approach to the Vision-Based Interface for Interactive Computer Games
Chaotic Dynamics for Avoiding Congestion in the Computer Network
Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach
Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification
A Case-Based Recognition of Semantic Structures in HTML Documents
Deep Learning Based Algorithms for Welding Edge Points Detection
The Approach for Data Warehouse to Answering Spatial OLAP Queries
Unsupervised Word Categorization Using Self-Organizing Maps and Automatically Extracted Morphs
Radar Echo Image Prediction Algorithm Based on Multi-scale Encoding-Decoding Network
HPGP: An Abstraction-Based Framework for Decision-Theoretic Planning
Short Run Dynamics in an Artificial Futures Market with Human Subjects
VQ-GCAE: Vector-Quantized Graph Convolutional Autoencoder for Early Anomaly Detection in Multivariate Time Series
Exploring Elitism in Genetic Algorithms for License Plate Recognition with Michigan-Style Classifiers
Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method
RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factors
Discovering Non-taxonomic Relations from the Web
Visualization of Predictive Distributions for Discrete Spatial-Temporal Log Cox Processes Approximated with MCMC
Fast and Accurate Sentiment Classification Using an Enhanced Naive Bayes Model
Semantic WordRank: Generating Finer Single-Document Summarizations
Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition
A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm
Automated Eucalyptus Inventory: Comparison of Manual, CHM and LiDAR Methods
Fuzzy Multi-Criteria Decision Making in Stereovision Matching for Fish-Eye Lenses in Forest Analysis
Mining Frequent Distributions in Time Series
AD+Tree: A Compact Adaptation of Dynamic AD-Trees for Efficient Machine Learning on Large Data Sets
Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
Interactive Information Retrieval Algorithm for Wikipedia Articles
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps
Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder
Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images
EEG Source Localization for Two Dipoles in the Brain Using a Combined Method
A Hierarchical Self-organised Classification of 'Multinational' Corporations
Modified Chamfer Matching Algorithm
ABBA - Agent Based Beaver Application - Busy Beaver in Swarm
Viseme Recognition Experiment Using Context Dependent Hidden Markov Models
Clustering Evolutionary Data with an r-Dominance Based Multi-objective Evolutionary Algorithm
A User Adaptive Mobile Commerce System with a Middlet Application
Eigenlights: Recovering Illumination from Face Images
Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Identifying Data Sources for Data Warehouses
A Note on Covariances for Categorical Data
A Comparative Study of Stellar Spectra Analysis with Neural Networks in Transformed Domains
CLARA: Semi-automatic Retraining System
The Spatial Pheromone Signal for Ant Colony Optimisation
A System for Efficient Portfolio Management
Logical Decision Rules: Teaching C4.5 to Speak Prolog
Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification
Improving Performance of Recommendation System Architecture
Local Fuzzy Pattern: A New Way for Micro-pattern Analysis
Novel Architecture for RNA Secondary Structure Prediction
Experiences of Using a Quantitative Approach for Mining Association Rules
Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Pattern Recognition in Classification of Intelligent Composites during Smart Manufacturing
Towards a Robotic Personal Trainer for the Elderly
Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification
An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses
Artifact Removal Methods in Motor Imagery of EEG
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model
Asynchronous Messaging Using Message-Oriented-Middleware
How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms
Portfolio Management for Pension Funds
A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze
Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model
Video Segmentation by Two Measures and Two Thresholds
Complexity-Driven Sampling for Bagging
A Novel Multi-Objective Genetic Algorithm for Clustering
Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm
A Method of Discriminative Features Extraction for Restricted Boltzmann Machines
Hybridizing Cultural Algorithms and Local Search
Predicting Wind Energy Generation with Recurrent Neural Networks
Visual Sensitivity Analysis for Artificial Neural Networks
An Effective Content-Based Image Retrieval System by Hierachical Segmentation
Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach
Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data
Consensus-Based Adaptive Interface Construction for Multiplatform Web Applications
Linear Concept Approximation for Multilingual Document Recommendation
Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis
Semantic Intelligence: Graph RAG-Driven Agents for Time Series Analytics
Bearing Similarity Measures for Self-organizing Feature Maps
Ethereum Investment Based on LSTM and GRU Forecast
A Generalization of Independence in Naive Bayes Model
The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular Networks
A Neural Classifier with Fraud Density Map for Effective Credit Card Fraud Detection
Educational Management as an Ensure of High-Quality Standards, Focused on the Added Value of a Public University
Visualising and Clustering Video Data
The Importance of Precision in Humour Classification
Data Pre-processing and Data Generation in the Student Flow Case Study
An Engineering Approach to Data Mining Projects
Policy Gradient Method for Team Markov Games
An Optimized Evidential Artificial Immune Recognition System Based on Genetic Algorithm
Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks
Countering Misinformation Through Semantic-Aware Multilingual Models
Clustering by Searching Density Peaks via Local Standard Deviation
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures
Study on the Detection of Cross-Site Scripting Vulnerabilities Based on Reverse Code Audit
SCSTallocator: Sized and Call-Site Tracing-Based Shared Memory Allocator for False Sharing Reduction in Page-Based DSM Systems
Minimal Addition-Subtraction Sequences for Efficient Pre-processing in Large Window-Based Modular Exponentiation Using Genetic Algorithms
Convolution Kernels for Outliers Detection in Relational Data
Intelligent Data Engineering and Automated Learning - IDEAL 2025 - 26th International Conference, Jaén, Spain, November 13-15, 2025, Proceedings, Part I
A Fast Algorithm for Incremental Principal Component Analysis
Multi-level Document Classifications with Self-organising Maps
A Comparative Study on Three MAP Factor Estimate Approaches for NFA
A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection
Topological Analysis of Credit Data: Preliminary Findings
Semi-discriminative Multiview Canonical Correlation Analysis for Recognition
A Focused Crawler with Document Segmentation
Opportunistic Sensor Interpretation in a Virtual Smart Environment
Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings
Framework of a Multi-agent KDD System
Locally Tuned General Regression for Learning Mixture Models Using Small Incomplete Data Sets with Outliers and Overlapping Classes
Auto-Encoder Architecture for Dynamic Knowledge Graph Construction in Multi-Agent Systems
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space
Supervised Growing Neural Gas
The Winning Advantage: Using Opponent Models in Robot Soccer
Spatial Information in Histograms for Shape Representation
Resources Oriented Search: A Strategy to Transfer Knowledge in the TRIZ-CBR Synergy
Observational Learning with Modular Networks
Racing for Unbalanced Methods Selection
15 DOF Robotic Hand Fuzzy-Sliding Control for Grasping Tasks
Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search
Building an Efficient Evolutionary Algorithm for Forex Market Predictions
Genetic Algorithm on GPU Performance Optimization Issues
Clustering Model Selection for Reduced Support Vector Machines
The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines
EfficientNet Architecture Family Analysis on Railway Track Defects
Web-Based Cluster Analysis System for China and Hong Kong's Stock Market
Applying GCS Networks to Fuzzy Discretized Microarray Data for Tumour Diagnosis
Finding First-Order Minimal Unsatisfiable Cores with a Heuristic Depth-First-Search Algorithm
A Significantly Faster Elastic-Ensemble for Time-Series Classification
Automatic Image Annotation Based on Topic-Based Smoothing
Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention
Constructing UML Galaxy Diagram for Conceptual Data Integration in Web Mining
A Note on Learning Automata Based Schemes for Adaptation of BP Parameters
Extracting Automatically a Domain Ontology from the "Book of Properties" of the Archbishop's Table of Braga
A Hybrid Social Model for Simulating the Effects of Policies on Residential Power Consumption
Meta-Learning Based Feature Selection for Clustering
Mobile Agents for Reliable Migration in Networks
Large Scale Instance Selection by Means of a Parallel Algorithm
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine
Extended Min-Hash Focusing on Intersection Cardinality
Inverse Reinforcement Learning for Reward Function in Traffic Signal Control
A Two-Stage Bayesian Network for Effective Development of Conversational Agent
Automatic Prognostic Determination and Evolution of Cognitive Decline Using Artificial Neural Networks
Unsupervised Dense Regions Discovery in DNA Microarray Data
An Improved Recommender Model by Joint Learning of Both Similarity and Latent Feature Space
Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning
An AI Tool for the Petroleum Industry Based on Image Analysis and Hierarchical Clustering
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I
Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters
Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks
Mining Attributed Interaction Networks on Industrial Event Logs
SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method
A Multimodal Approach to Image Sentiment Analysis
A Multi-agent System for Emergency Decision Support
Genetic Programming Prediction of Solar Activity
A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment
An Intelligent Decision Support System for Production Planning in Garments Industry
An Effective Distributed Privacy-Preserving Data Mining Algorithm
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search
A Cluster-Based Prototype Reduction for Online Classification
Exploiting Online Newspaper Articles Metadata for Profiling City Areas
Generating Representative from Clusters of Association Rules on Numeric Attributes
Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings
Causal Explanation of Graph Neural Networks
Toward a Framework for Seasonal Time Series Forecasting Using Clustering
Expression Classification and Intensity Estimation by Expression Manifold Synthesis
Proposal of Exploitation-Oriented Learning PS-r#
A Design and Implementation of Cyber Banking Process and Settlement System for Internet Commerce
SVD Based Graph Regularized Matrix Factorization
Local Approximations
Study of United Mileage Agent in E-commerce
Meta-feature Extraction Strategies for Active Anomaly Detection
LSTM Neural Network Modeling of Wind Speed and Correlation Analysis of Wind and Waves
Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets
A Comparative Study of Several Cluster Number Selection Criteria
Learning from Average Experience
Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model
Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network
Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study
Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks
Classifying Polyphonic Melodies by Chord Estimation Based on Hidden Markov Model
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization
A Branch and Bound Algorithm for Minimum Cost Network Flow Problem
Effective Classification by Integrating Support Vector Machine and Association Rule Mining
How Adaptive Agents in Stock Market Perform in the Presence of Random News: A Genetic Algorithm Approach
Causal Inference and Predictive Modeling for Evaluating the Effectiveness of Online Marketing Campaigns
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals
Assessment of Production System Stability with the Use of the FMEA Analysis and Simulation Models
BIKMAS: A Knowledge Engineering System for Bioinformatics
A General Approach for Adaptive Kernels in Semi-Supervised Clustering
Partition-Based Similarity Joins Using Diagonal Dimensions in High Dimensional Data Spaces
Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm
Social Network Recommender System, A Neural Network Approach
What Students Should Learn and Teachers Must Know About Artificial Intelligence