yusuke1997/dblp-id-title huggingface dataset:
Testing Modified Confusion Entropy as Split Criterion for Decision Trees
Evaluating the Usefulness of Large Language Models for Human Activity Recognition Data Augmentation via Few-Shot Samples
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference
Extending Probabilistic Encoding for Discovering Biclusters in Gene Expression Data
Class Prediction in Microarray Studies Based on Activation of Pathways
A Fast SSVEP-Based Brain-Computer Interface
GenAI-Powered Analysis of GIS App Privacy Policies for GDPR Compliance
Evaluation of a Wrist-Based Wearable Fall Detection Method
Simulating Users in a Social Media Platform Using Multi-agent Systems
Leveraging Retrieval-Augmented Generation for Reliable Medical Question Answering Using Large Language Models
Local Binary Pattern Features to Detect Anomalies in Machined Workpiece
Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection
Evolutionary Neural Networks for Product Design Tasks
On How Percolation Threshold Affects PSO Performance
Creating Knowledge Base from Automatically Extracted Information
Hybrid Intelligent Model to Predict the SOC of a LFP Power Cell Type
MC-PSO/DE Hybrid with Repulsive Strategy - Initial Study
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets
A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System
alpha -Satisfiability and alpha -Lock Resolution for a Lattice-Valued Logic LP(X)
Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach
Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning
Towards the Simulation of Social Interactions through Embodied Conversational Agents
Performance Analysis of the Neighboring-Ant Search Algorithm through Design of Experiment
Color Video Segmentation by Dissimilarity Based on Edges
Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems
Tardiness Minimisation for Job Shop Scheduling with Interval Uncertainty
Hunting for Fraudsters in Random Forests
Application of Genetic Algorithms and Heuristic Techniques for the Identification and Classification of the Information Used by a Recipe Recommender
An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification
Taxonomy-Based Detection of User Emotions for Advanced Artificial Intelligent Applications
A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications
Missing Meteorological Data Imputation for Mini Eolic Electrical Power Prediction
Comparison of Deep Reinforcement Learning Path-Following System Based on Road Geometry and an Adaptive Cruise Control for Autonomous Vehicles
Efficient MRI Reconstruction Using a Hybrid Framework for Integrating Stepwise Bayesian Restoration and Neural Network Models in a Memory Based Priors System
Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
New Adaptive Approach for Multi-chaotic Differential Evolution Concept
Survey for Big Data Platforms and Resources Management for Smart Cities
A Platform for Matching Context in Real Time
Investigation of Genetic Algorithms with Self-Adaptive Crossover, Mutation, and Selection
Fall Detection Using Kinect Sensor and Fall Energy Image
Metaheuristics for Modelling Low-Resolution Galaxy Spectral Energy Distribution
Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques
Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images
Fuzzy C-means Clustering with Bilateral Filtering for Medical Image Segmentation
A Hybrid Approach for ECG Classification Based on Particle Swarm Optimization and Support Vector Machine
Explore Residue Significance in Peptide Classification
A Hooke-Jeeves Based Memetic Algorithm for Solving Dynamic Optimisation Problems
Credibility Coefficients in Hybrid Artificial Intelligence Systems
Fusion of Fuzzy Spatial Relations
A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences
Application of Transfer Learning to Online Models in Malware Detection
Genetic Algorithm-Based Allocation and Scheduling for Voltage and Frequency Scalable XMOS Chips
Hybrid Multi-Agent Architecture (HoCa) Applied to the Control and Supervision of Patients in Their Homes
Adaptive Splitting and Selection Method of Classifier Ensemble Building
A Hybrid Ant-Based System for Gate Assignment Problem
A Focused Wave Front Algorithm for Mobile Robot Path Planning
Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation
On the Need of Hybrid Intelligent Systems in Modular and Multi Robotics
Survey of Business Intelligence for Energy Markets
Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings
Companion Losses for Ordinal Regression
A Vehicle Routing Problem Solved by Agents
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
A Multi-Agent System to Improve Mobile Robot Localization
Multi-label Classification with Gene Expression Programming
Sentiment Analysis for Vietnamese - Based Hybrid Deep Learning Models
Determination of Galaxy Photometric Redshifts Using Conditional Generative Adversarial Networks (CGANs)
Classifier Ensembles for Virtual Concept Drift - The DEnBoost Algorithm
A Review on the Application of Hybrid Artificial Intelligence Systems to Optimization Problems in Operations Management
Diversity Measures for Majority Voting in the Spatial Domain
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Median Hetero-Associative Memories Applied to the Categorization of True-Color Patterns
Analysis of MOEA/D Approaches for Inferring Ancestral Relationships
SpaGRID: A Spatial Grid Framework for High Dimensional Medical Databases
Clustering Imputation for Air Pollution Data
SHAP Algorithm for Healthcare Data Classification
A Hybrid Evolutionary Multiobjective Approach for the Component Selection Problem
About Inducing Simple Emergent Behavior in Large Cournot Games by Using Crowding Based Differential Evolution
Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection
Forecasting Security Alerts Based on Time Series
Recognition of Turkish Vowels by Probabilistic Neural Networks Using Yule-Walker AR Method
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I
Inferring Knowledge from Clinical Data for Anesthesia Automation
An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora
Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions
The Third Codon Nucleotide's Role in Genetic Recombination Within SARS-CoV-2 Spike Protein: A Pilot Study
Joint Entity Summary and Attribute Embeddings for Entity Alignment Between Knowledge Graphs
Creation of a Distributed NoSQL Database with Distributed Hash Tables
Analysis of the Genetic Algorithm Operators for the Node Location Problem in Local Positioning Systems
Graph-Based Model-Selection Framework for Large Ensembles
Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification
Extraction of Geometrical Features in 3D Environments for Service Robotic Applications
A Hybrid System with Regression Trees in Steel-Making Process
Evolutionary Computing for the Sustainable Management of Educative Institutions
An Approach of Bio-inspired Hybrid Model for Financial Markets
Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy
Model to Early Detection of Autism Spectrum Disorder Through Opinion Mining Approach
Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition
Concept of a Data Exchange Agent System for Automatic Construction of Simulation Models of Manufacturing Processes
A Hybrid Based Genetic Algorithm for Solving the Clustered Generalized Traveling Salesman Problem
Optimization of Knowledge in Companies Simulating M6PROK© Model Using as Hybrid Methodology a Neuronal Network and a Memetic Algorithm
Production Preparation and Order Verification Systems Integration Using Method Based on Data Transformation and Data Mapping
Bayesian Model Selection Pruning in Predictive Maintenance
Evolutionary Industrial Physical Model Generation
Incorporating Belief Function in SVM for Phoneme Recognition
Electrical Behavior Modeling of Solar Panels Using Extreme Learning Machines
On the Formalization of an Argumentation System for Software Agents
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms
An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis
A Type-2 Fuzzy Set Recognition Algorithm for Artificial Immune Systems
Market Trends and Customer Segmentation for Data of Electronic Retail Store
Evolving Dynamic Route Generators for Open-Ended ARPs
Modeling Internet as a User-Adapted Speech Service
An Improved Comfort Biased Smart Home Load Manager for Grid Connected Homes Under Direct Load Control
Multi-objective Evolutionary Approach for Subgroup Discovery
Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model
Fusion of Modular Bayesian Networks for Context-Aware Decision Making
A Decision Support Tool for the Static Allocation of Emergency Vehicles to Stations
Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks
A Hybrid Intelligent System to Detect Anomalies in Robot Performance
Hybrid U-TDOA and A-GPS for Vehicle Positioning and Tracking
An Agent Based Implementation of Proactive S-Metaheuristics
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers
Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger
Ontology-Based Deep Web Data Sources Selection
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part I
Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models
A New Quantum Evolutionary Local Search Algorithm for MAX 3-SAT Problem
Continuous User Feedback Learning for Data Capture from Business Documents
The Concept of Intelligent System for Horizontal Transport in a Copper Ore Mine
MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping
Cryptanalysis of Simplified-AES Using Intelligent Agent
Estimation Using Differential Evolution for Optimal Crop Plan
An In-depth Analysis of Jailbreaking Through Domain Characterization of LLM Training Sets
A Modified Wind Driven Optimization Model for Global Continuous Optimization
Structured Output Element Ordering in Boosting-Based Classification
Feature Selection Using Approximate Multivariate Markov Blankets
A Nearest Hyperrectangle Monotonic Learning Method
A Regular Tetrahedron Formation Strategy for Swarm Robots in Three-Dimensional Environment
Identification of Different Types of Minority Class Examples in Imbalanced Data
How Do You Help a Robot to Find a Place? A Supervised Learning Paradigm to Semantically Infer about Places
Comparison of Geospatial Trajectory Clustering and Feature Trajectory Clustering for Public Transportation Trip Data
Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I
Simulating a Collective Intelligence Approach to Student Team Formation
Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets
Wind Power Ramp Event Prediction with Support Vector Machines
Ensemble Trend Classification in the Foreign Exchange Market Using Class Variable Fitting
Improving Short Query Representation in LDA Based Information Retrieval Systems
Listen to This: Music Recommendation Based on One-Class Support Vector Machine
Enhancing Accuracy of Hybrid Packing Systems through General-Purpose Characterization
Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL
Architecture for Hybrid Robotic Behavior
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning
Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings
Low Bit-Rate Video Coding with 3D Lower Trees (3D-LTW)
Distinctive Features of Asymmetric Neural Networks with Gabor Filters
Word Embedding Based Event Detection on Social Media
ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
Constraint and Preference Modelling for Spatial Decision Making with Use of Possibility Theory
Embodied Moving-Target Seeking with Prediction and Planning
Towards a Custom Designed Mechanism for Indexing and Retrieving Video Transcripts
SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection
Healthcare Information Fusion Using Context-Aware Agents
PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition
Does the Order of Attributes Play an Important Role in Classification?
Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks
Does Sentiment Analysis Help in Bayesian Spam Filtering?
A Hybrid Inference Approach for Building Fuzzy DSSs Based on Clinical Guidelines
Identification of Patterns in Blogosphere Considering Social Positions of Users and Reciprocity of Relations
Agent-Based Evolutionary System for Traveling Salesman Problem
Clinical Careflows Aided by Uncertainty Representation Models
Self-Organizing Maps Fusion: An Approach to Different Size Maps
Hierarchical Combining of Classifiers in Privacy Preserving Data Mining
A Hybrid Approach to Mining Conditions
Non-linear Data Stream Compression: Foundations and Theoretical Results
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile
Small Wind Turbine Power Forecasting Using Long Short-Term Memory Networks for Energy Management Systems
A Computational Assessment of a Blood Vessel's Compliance: A Procedure Based on Computed Tomography Coronary Angiography
Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning
Evaluating Strategies for Selecting Test Datasets in Recommender Systems
A Simple Classification Ensemble for ADL and Falls
Mixture of Random Prototype-Based Local Experts
Orthogonal Properties of Asymmetric Neural Networks with Gabor Filters
Stamping Line Optimization Using Genetic Algorithms and Virtual 3D Line Simulation
The Abnormal vs. Normal ECG Classification Based on Key Features and Statistical Learning
Neonates Crying Detection Through Feature Extraction and Machine Learning Methods
Probabilistic Approach to the Dynamic Ensemble Selection Using Measures of Competence and Diversity of Base Classifiers
Feature Ranking for Feature Sorting and Feature Selection with Optimisation
User Profiles Matching for Different Social Networks Based on Faces Identification
A Metaheuristic Algorithm to Face the Graph Coloring Problem
Emergence of Cooperation Through Simulation of Moral Behavior
A Semi-supervised Method to Classify Educational Videos
An Evidential and Context-Aware Recommendation Strategy to Enhance Interactions with Smart Spaces
Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study
Granular Fuzzy Inference System (FIS) Design by Lattice Computing
Assessment of Creditworthiness Models Privacy-Preserving Training with Synthetic Data
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection
Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition
Enhanced Self Organized Dynamic Tree Neural Network
A Clustering-Based Method for Team Formation in Learning Environments
Fusers Based on Classifier Response and Discriminant Function - Comparative Study
An Evolutionary Approach to Generate Solutions for Conflict Scenarios
Cocaine Dependent Classification Using Brain Magnetic Resonance Imaging
Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm
An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks
A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks
Incorporating More Scaled Differences to Differential Evolution
Unfolding the Manifold in Generative Topographic Mapping
A Supervised Clustering Approach for Subrole Discovery in a Multiplayer Online Battle Arena Game
Research of Neural Network Classifier Based on FCM and PSO for Breast Cancer Classification
Botnet Detection on TCP Traffic Using Supervised Machine Learning
The Application of Multi-Agent System in Monitoring and Control of Nonlinear Bioprocesses
Application Possibilities of Hardware Implemented Hybrid Neural Networks to Support Independent Life of Elderly People
Solving Classification Problems Using Genetic Programming Algorithms on GPUs
Reference Data Sets for Spam Detection: Creation, Analysis, Propagation
Integration of Case Based Reasoning in Multi-agent System for the Real-Time Container Stacking in Seaport Terminals
A Social Network-Based Approach to Expert Recommendation System
Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease
Financial Distress Prediction in an Imbalanced Data Stream Environment
A Straightforward Implementation of a GPU-accelerated ELM in R with NVIDIA Graphic Cards
Deep Learning for Scene Recognition from Visual Data: A Survey
An Energy Efficient Model Based on the Feature Pseudo-embedding
Risk Factors and Survival After Premature Hospital Readmission in Frail Subjects with Delirium
Classification of Burrs Using Contour Features of Image in Milling Workpieces
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning
A Framework to Develop Adaptive Multimodal Dialog Systems for Android-Based Mobile Devices
Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series
An Approach to Anomaly Detection with Dynamic Threshold Definition for Real-World Environments
Learning User Profile with Genetic Algorithm in AmI Applications
Hybrid Multi-objective Machine Learning Classification in Liver Transplantation
On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms
Automatic Identification Approach for Sea Surface Bubbles Detection
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem
Comparing Measurement and State Vector Data Fusion Algorithms for Mobile Phone Tracking Using A-GPS and U-TDOA Measurements
Analysing the Low Quality of the Data in Lighting Control Systems
A Hybrid System for Dental Milling Parameters Optimisation
Outlier Analysis for Plastic Card Fraud Detection a Hybridized and Multi-Objective Approach
Spanish Road Fork Traffic Analysis and Modelling
Neural Networks Ensembles Approach for Simulation of Solar Arrays Degradation Process
Evolutionary Computation on Road Safety
Random Forests and Gradient Boosting for Wind Energy Prediction
Automatic Lane Correction in DGGE Images by Using Hybrid Genetic Algorithms
Topological Evolution of Financial Network: A Genetic Algorithmic Approach
Pollen Grains Contour Analysis on Verification Approach
Hybrid System for Mobile Image Recognition through Convolutional Neural Networks and Discrete Graphical Models
Robust Speaker Identification Using Ensembles of Kernel Principal Component Analysis
A Soft Computing Approach to Optimize the Clarification Process in Wastewater Treatment
Information Fusion for Context Awareness in Intelligent Environments
Classifying Pastebin Content Through the Generation of PasteCC Labeled Dataset
Counter Intituive COVID-19 Propagation Dynamics in Brazil
Modelling of Modular Robot Configurations Using Graph Theory
Evaluating Feature Selection Robustness on High-Dimensional Data
Featuring the Attributes in Supervised Machine Learning
Towards Providing Social Knowledge by Event Tracing in Multiagent Systems
A Hybrid System of Signature Recognition Using Video and Similarity Measures
Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions
Arabic Handwriting Recognition Based on Synchronous Multi-stream HMM Without Explicit Segmentation
An Ontology for Human-Machine Computation Workflow Specification
On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring
Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer
Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator
A Hybrid Ant-Based Approach to the Economic Triangulation Problem for Input-Output Tables
Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data
Improving Adaptive Optics Reconstructions with a Deep Learning Approach
Parallel Implementation of a Simplified Semi-physical Wildland Fire Spread Model Using OpenMP
Hybrid Algorithm to Data Clustering
Reinforcement Learning Experiments Running Efficiently over Widly Heterogeneous Computer Farms
An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU
A Dialogue-Game Approach for Norm-Based MAS Coordination
An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier
Reflections on Concepts of Employment for Modern Information Fusion and Artificial Intelligence Technologies: Situation Management, Decision Making under Varying Uncertainty and Ambiguity, Sequential Decision-Making, Learning, Prediction, and Trust
Twitter Sentiment Analysis Using Deep Convolutional Neural Network
Learning to Trade with Incremental Support Vector Regression Experts
STARMIND: Automated Classification of Astronomical Data Based on an Hybrid Strategy
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning
Sequence Alignment Adaptation for Process Diagnostics and Delta Analysis
Robust Losses in Deep Regression
RADSSo: An Automated Tool for the multi-CASH Machine Learning Problem
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets
Providing Dynamic Instructional Adaptation in Programming Learning
A Metaheuristic Hybridization Within a Holonic Multiagent Model for the Flexible Job Shop Problem
FM3S: Features-Based Measure of Sentences Semantic Similarity
Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective
Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data
Edge AI for Covid-19 Detection Using Coughing
Ear Recognition with Neural Networks Based on Fisher and Surf Algorithms
OVRP_ICA: An Imperialist-Based Optimization Algorithm for the Open Vehicle Routing Problem
Detecting Unknown Attacks in Wireless Sensor Networks Using Clustering Techniques
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?
Rainfall Prediction: A Deep Learning Approach