yusuke1997/dblp-id-title huggingface dataset:
Parameter Based Access Control Model for Mobile Handsets
Security Challenges in Multihop Wireless Mesh Networks-A Survey
Detecting Sybils in Peer-to-Peer File Replication Systems
Forensic Investigation of the Soft-Modded PlayStation Portable (PSP)
A Semi-fragile Watermarking Algorithm for Authenticating 2D Engineering Graphics Based on Log-Polar Transformation
Technology Perspective: Is Green IT a Threat to IT Security?
Adaptive Clustering Method for Reclassifying Network Intrusions
Ethical Dilemmas in Teaching Computer and Internet Security
An Adaptive Fusion Framework for Fault-Tolerant Multibiometrics
Overview of SIP Attacks and Countermeasures
Analysis of Denial of Service Attacks in IEEE 802.11s Wireless Mesh Networks
Smart Logic - Preventing Packet Loss in High Speed Network Intrusion Detection Systems
On the Repudiability of Device Identification and Image Integrity Verification Using Sensor Pattern Noise
Information Security and Digital Forensics - First International Conference, ISDF 2009, London, United Kingdom, September 7-9, 2009, Revised Selected Papers
Challenges of Identity Management - A Context in Rural India
Cross-Enterprise Policy Model for e-Business Web Services Security
Face Recognition Using Balanced Pairwise Classifier Training
A Simple Method for Improving Intrusion Detections in Corporate Networks
Use of Natural Language Processing to Identify Inappropriate Content in Text
Social Simulation for AmI Systems Engineering
Hybrid GNG Architecture Learns Features in Images
Diffusion of Domestic Water Conservation Technologies in an ABM-GIS Integrated Model
A Constrained Dynamic Evolutionary Algorithm with Adaptive Penalty Coefficient
Artificial Neural Networks for Tours of Multiple Asteroids
Interpretable ML for Stress Detection from Vital Signs Using SHAP
A Hybrid Classical Approach to a Fixed-Charged Transportation Problem
Advanced Decomposition-Based Bioinspired Algorithms for Multiobjective Phylogenetics
Beyond Homemade Artificial Data Sets
KETO: A Knowledge Editing Tool for Encoding Condition - Action Guidelines into Clinical DSSs
Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers
Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks
How to Reduce Dimension while Improving Performance
Lipreading Procedure for Liveness Verification in Video Authentication Systems
A WeVoS-CBR Approach to Oil Spill Problem
Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance
Improving Comparative Radiography by Multi-resolution 3D-2D Evolutionary Image Registration
Smart Drivers' Guidance System Based on IoT Technologies for Smart Cities Application
On the Use of a Hybrid Approach to Contrast Endmember Induction Algorithms
Unsupervised Methods for Anomalies Detection through Intelligent Monitoring Systems
Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix
Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction
Document Similarity by Word Clustering with Semantic Distance
Modified Grid Searches for Hyper-Parameter Optimization
An Agent Model for Incremental Rough Set-Based Rule Induction in Customer Relationship Management
Ethical Challenges from Artificial Intelligence to Legal Practice
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture
Surface EMG Profiling in Parkinson's Disease: Advancing Severity Assessment with GCN-SVM
Hybrid Multi-population Collaborative Asynchronous Search
An Introduction to the Kosko Subsethood FAM
Improving the Accuracy of Prediction Applications by Efficient Tuning of Gradient Descent Using Genetic Algorithms
Modeling an Operating System Based on Agents
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
Analysis of Transformer Model Applications
A Structural Pattern Mining Approach for Credit Risk Assessment
Combining Metaheuristic Algorithms to Solve a Scheduling Problem
An Intelligent Automated Recognition System of Abnormal Structures in WCE Images
Analysis of Kernel Thinning for Scalable Support Vector Machines
Enhanced Cooperative Co-evolution Genetic Algorithm for Rule-Based Pattern Classification
Using ABC Algorithm with Shrinkage Estimator to Identify Biomarkers of Ovarian Cancer from Mass Spectrometry Analysis
R Ultimate Multilabel Dataset Repository
Dynamic Channel Model LMS Updating for RSS-Based Localization
CAPAS: A Context-Aware System Architecture for Physical Activities Monitoring
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations
Creating Effective Error Correcting Output Codes for Multiclass Classification
An Evolutionary Feature-Based Visual Attention Model Applied to Face Recognition
Image Analysis Pipeline for Automatic Karyotyping
Convex Multi-Task Learning with Neural Networks
Combining Multiple Classifiers with Dynamic Weighted Voting
PSO with Partial Population Restart Based on Complex Network Analysis
Unsupervised Classification of Audio Signals by Self-Organizing Maps and Bayesian Labeling
Risk Estimation for Hierarchical Classifier
Unearth the Hidden Supportive Information for an Intelligent Medical Diagnostic System
Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis
Self Optimizing Neural Networks SONN-3 for Classification Tasks
A Improved Clustering Analysis Method Based on Fuzzy C-Means Algorithm by Adding PSO Algorithm
Nyström and RFF Ensembles for Large-Scale Kernel Predictions
A Perceptron Classifier, Its Correctness Proof and a Probabilistic Interpretation
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks
A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data
Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting
Vascular Section Estimation in Medical Images Using Combined Feature Detection and Evolutionary Optimization
Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair Follow-Up
Simple Clipping Algorithms for Reduced Convex Hull SVM Training
Using Nonlinear Quantile Regression for the Estimation of Software Cost
A Hybrid Color Distance for Image Segmentation
An Efficient Hybrid Classification Algorithm - An Example from Palliative Care
Deep Learning Applications on Cybersecurity
A Hybrid Analytic Hierarchy Process for Clustering and Ranking Best Location for Logistics Distribution Center
Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate
Remifentanil Dose Prediction for Patients During General Anesthesia
Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches
Distance Metric Learning with Prototype Selection for Imbalanced Classification
An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem
Modelling Radial Basis Functions with Rational Logic Rules
Modeling a Mobile Group Recommender System for Tourism with Intelligent Agents and Gamification
A Hybrid Clustering Approach for Diagnosing Medical Diseases
Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study
A Simple Proactive Provider Participation Technique in a Mesh-Based Peer-to-Peer Streaming Service
Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder
Lattice Associative Memories for Segmenting Color Images in Different Color Spaces
An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition
PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection
Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries
Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods
Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN
Open-Ended Learning of Reactive Knowledge in Cognitive Robotics Based on Neuroevolution
Human Activity Recognition and Feature Selection for Stroke Early Diagnosis
A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets
Computer-Assisted Diagnosis of Primary Headaches
An Approach of Steel Plates Fault Diagnosis in Multiple Classes Decision Making
Order Metrics for Semantic Knowledge Systems
On-Line Valuation of Residential Premises with Evolving Fuzzy Models
Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner
Machine Learning Methods as Robust Quantum Noise Estimators
Minimizing Attributes for Prediction of Cardiovascular Diseases
Graphical Exploratory Analysis of Educational Knowledge Surveys with Missing and Conflictive Answers Using Evolutionary Techniques
Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization
Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm
Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition on RGB-D Data
Real-Time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling
Borderline Kernel Based Over-Sampling
Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise
Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes
Reinforcement Learning for Dynamic Trajectory Adjustment in Human-Robot Interaction Within Virtual Simulations
Active Image Data Augmentation
Differentiable Prototypes with Distributed Memory Network for Continual Learning
A Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data
Improving the Generalization Capability of Hybrid Immune Detector Maturation Algorithm
A Hybrid Approach to Detecting the Best Solution in Nurse Scheduling Problem
Classification of Wood Pulp Fibre Cross-Sectional Shapes
An Enhanced Hierarchical Traitor Tracing Scheme Based on Clustering Algorithms
Fully Fuzzy Multi-objective Berth Allocation Problem
A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas
Linked Multicomponent Robotic Systems: Basic Assessment of Linking Element Dynamical Effect
Analyzing Transitive Rules on a Hybrid Concept Discovery System
Ensemble Pruning Using Harmony Search
A Microservice System Architecture for Receiving ETL System Patterns
Using Artificial Intelligence Techniques for Strategy Generation in the Commons Game
An EM-Based Piecewise Linear Regression Algorithm
A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for Smart TV
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems
Randomness and Fuzziness in Bayes Multistage Classifier
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms
Analysis of Face Gestures for Human-Computer Interaction
Networked Independent Reinforcement Learners Playing an Evolutionary Game
A Deep Learning-Based Recommendation System to Enable End User Access to Financial Linked Knowledge
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings
Hybrid Metaheuristics for Global Optimization: A Comparative Study
The Application of Artificial Intelligence Hybrid in Traffic Flow
Transfer Learning Approach to Debt Portfolio Appraisal
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels
Hybrid Decision Tree Architecture Utilizing Local SVMs for Multi-Label Classification
Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings
Lee Path Replanner for Partially-Known Environments
ReactGA - The Search Space Transformation for the Local Optimum Escaping
NCRIO: A Normative Holonic Metamodel for Multi-agent Systems
A Novel Hybrid Intelligent Classifier to Obtain the Controller Tuning Parameters for Temperature Control
Evaluating the Difficulty of Instances of the Travelling Salesman Problem in the Nearby of the Optimal Solution Based on Random Walk Exploration
Speech Emotion Recognition by Conventional Machine Learning and Deep Learning
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach
Multidimensional Models Supported by Document-Oriented Databases
First Steps Towards State Representation Learning for Cognitive Robotics
Tracking and Classification of Features in the Bio-Inspired Layered Networks
A Comparison of VBM Results by SPM, ICA and LICA
Lexicon Annotation with LLM: A Proof of Concept with ChatGPT
A Generalization of Majority Voting Scheme for Medical Image Detectors
Detecting Anomalies in Embedded Computing Systems via a Novel HMM-Based Machine Learning Approach
Constraint Programming Based Algorithm for Solving Large-Scale Vehicle Routing Problems
BatNoiseDL: Discrimination of Bat Signals Through an Ensemble of Deep Learning Models
Extraction of Outliers from Imbalanced Sets
A Novel Hybrid Approach to Improve Performance of Frequency Division Duplex Systems with Linear Precoding
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions
Tourists Movement Analysis Based on Entropies of Markov Process
Analyzing DoS Attacks on CoAP Networks Using Low-Dimensional Latent Representations
An Evidential Fusion Architecture for People Surveillance in Wide Open Areas
Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume
A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems
Study of the Pre-processing Impact in a Facial Recognition System
A Cluster-Based Feature Selection Approach
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance
Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis
Computational Intelligence Techniques for Predicting Earthquakes
Network Traffic Analysis for Android Malware Detection
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework
Statistical Dialog Tracking and Management for Task-Oriented Conversational Systems
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery
A Proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms
Subsymbolic and Symbolic Pipeline for an Explainable EEG Authentication System
Comparing Knowledge-Based Reinforcement Learning to Neural Networks in a Strategy Game
The Borda Count as a Tool for Reducing the Influence of the Distance Function on kmeans
Change Detection in Multidimensional Data Streams with Efficient Tensor Subspace Model
JCLEC Meets WEKA!
Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing
Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification
An Analysis of the Hardness of Novel TSP Iberian Instances
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
Evolutionary Algorithm for P2P Multicasting Network Design Problem
Real Implantation of an Expert System for Elderly Home Care
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part II
Hybrid Algorithm for Floor Detection Using GSM Signals in Indoor Localisation Task
Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses
Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images
Distributed Tabu Searches in Multi-agent System for Permutation Flow Shop Scheduling Problem
Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output
Fall Detection Based on Local Peaks and Machine Learning
Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks
Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation
Passivity Based Control of Cyber Physical Systems Under Zero-Dynamics Attack
Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms
Anomaly Detection Using Gaussian Mixture Probability Model to Implement Intrusion Detection System
Ambient Intelligence Integration in Vocational Education: Evaluating Smart Learning Environments for Digital Skills Development
Y-Means: An Autonomous Clustering Algorithm
Object-Oriented Models in an Integration of CAD/CAPP/CAP Systems
Hydrodynamic Design of Control Surfaces for Ships Using a MOEA with Neuronal Correction
Efficient Simulation of Pollutant Dispersion Using Machine Learning
Using Dalvik Opcodes for Malware Detection on Android
Probability Density Function for Clustering Validation
Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability
The Artificial Bee Colony Algorithm Applied to a Self-adaptive Grid Resources Selection Model
HYBPARSIMONY-IDT: Hybrid Parsimonious Search for Interpretable Decision Trees
Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks
A Fuzzy Reinforcement Learning Approach to QoS Provisioning Transmission in Cognitive Radio Networks
Supervised Classification Fuzzy Growing Hierarchical SOM
Kernel Density-Based Pattern Classification in Blind Fasteners Installation
Scalable Uncertainty-Tolerant Business Rules
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part II
Handling Inconsistencies in the Revision of Probability Distributions
Movie Recommendation Framework Using Associative Classification and a Domain Ontology
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data
Training Set Fuzzification Towards Prediction Improvement
Co-operative Co-evolutionary Approach to Multi-objective Optimization
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
A Fuzzy-Based Approach for the Multilevel Component Selection Problem
Road Lane Landmark Extraction: A State-of-the-art Review
A HAIS Approach to Predict the Energy Produced by a Solar Panel
Tuning CNN Input Layout for IDS with Genetic Algorithms
Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm
Emotional Value-Aware Agents: A Viewpoint Paper
Hybrid Deep Learning Approach for Efficient Outdoor Parking Monitoring in Smart Cities
Fuzzy Sliding Mode Control with Chattering Elimination for a Quadrotor Helicopter in Vertical Flight
Satellite-Guided Herding: Optimizing Pasture Selection for Efficient Livestock Management
Digital Chaotic Noise Using Tent Map without Scaling and Discretization Process
Fusion of Topology Preserving Neural Networks
Cryptographic Applications of 3x3 Block Upper Triangular Matrices
Unsupervised Genetic Algorithm Deployed for Intrusion Detection
Symbolic Regressor: An Interpretability Tool for Non-intrusive Load Monitoring
Monitoring Mental Fatigue through the Analysis of Keyboard and Mouse Interaction Patterns
Supervision Strategy of a Solar Volumetric Receiver Using NN and Rule Based Techniques
Ensemble of Binary Learners for Reliable Text Categorization with a Reject Option
Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants
Encrypting Digital Images Using Cellular Automata
Extending Qualitative Spatial Theories with Emergent Spatial Concepts - An Automated Reasoning Approach
Modeling a Specific Commercial Single Proton Exchange Membrane Fuel Cell
EP-MAS.Lib: A MAS-Based Evolutionary Program Approach
Temporal-Bounded CBR for the Management of Commitments in RT-Agents
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects
A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization
Improving Enzyme Function Classification Performance Based on Score Fusion Method
A 3D Facial Recognition System Using Structured Light Projection
Agents and Computer Vision for Processing Stereoscopic Images
A Novel Technique for Human Face Recognition Using Fractal Code and Bi-dimensional Subspace
Self-adaptive Biometric Classifier Working on the Reduced Dataset
A Pool of Experts to Evaluate the Evolution of Biological Processes in SBR Plants
A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling
More Interpretable Decision Trees
Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction
Towards Automatic Composition of Multicomponent Predictive Systems
Diffusion Maps for the Description of Meteorological Data
NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease
A Case-Based Reasoning Approach for Norm Adaptation
IoT Device Fingerprinting: Optimized with Data Diversity and Feature Selection for Computational Efficiency
Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction
Analysis of Human Performance as a Measure of Mental Fatigue
IIoT-Driven Time Series Imputation for Sustainable Metalworking Fluid Monitoring
An Analysis on Hybrid Brain Storm Optimisation Algorithms
An Approach to Flocking of Robots Using Minimal Local Sensing and Common Orientation
Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification
An Experimental Study of Different Ordinal Regression Methods and Measures
Global/Local Hybrid Learning of Mixture-of-Experts from Labeled and Unlabeled Data
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management
Interface for Composing Queries for Complex Databases for Inexperienced Users
Meta-Learning for Hyperparameters Tuning in CNNs for Chest Images
An Efficient Hybrid Genetic Algorithm for Solving a Particular Two-Stage Fixed-Charge Transportation Problem
Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis
Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques
RAG Embeddings Storage Optimization Through Quantization and Dimensionality Reduction
A Two-Level Hybrid Based Genetic Algorithm to Solve the Clustered Shortest-Path Tree Problem Using the Prüfer Code
A Novel Approach to Detect Single and Multiple Faults in Complex Systems Based on Soft Computing Techniques
Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods
An Ontological and Agent-Oriented Modeling Approach for the Specification of Intelligent Ambient Assisted Living Systems for Parkinson Patients
Automatic PSO-Based Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
The Hybrid Method of Knowledge Representation in a CAPP Knowledge Based System
Detecting Features from Confusion Matrices Using Generalized Formal Concept Analysis
A Hybrid Segmentation of Abdominal CT Images
A Cultural Algorithm for the Urban Public Transportation
Hybrid Approach Using Rough Sets and Fuzzy Logic to Pattern Recognition Task
Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine