yusuke1997/dblp-id-title huggingface dataset:
Machine Learning for the Identification of Biomarker and Risk Factors associated with Depression in Adult Population: Preliminary Results on a Small Cohort
JADE/LEAP Agents in an Aml Domain
Optimization of Warehouse Layout for the Minimization of Operation Times
Improvement of Multi-Label Self-Adjusting Memory kNN Classifier for Sparse and Class-Imbalanced Data Streams
Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System
Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction
DRL-Driven Batch-Oriented SDN Migration with Weighted Traffic Matrix Clustering for Dynamic Networks
Distributed Privacy-Preserving Minimal Distance Classification
A Relational Dual Tableau Decision Procedure for Multimodal and Description Logics
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach
Unity-Based Autonomous Driving Environment: A Platform for Validating Reinforcement Learning Agents
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms
Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?
Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification
Agent Participation in Context-Aware Workflows
Graph-Based Knowledge Inference for Style-Directed Architectural Design
RT-MLR: A Hybrid Framework for Context-Aware Systems
A New Approach to Improve the Ant Colony System Performance: Learning Levels
Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data
Lattice Neural Networks with Spike Trains
Identification of Plant Textures in Agricultural Images by Principal Component Analysis
Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data
A Soft Computing Approach to Optimize the Production of Biodiesel
Clustering Likelihood Curves: Finding Deviations from Single Clusters
A Non-parametric Fisher Kernel
Evolutionary q -Gaussian Radial Basis Functions for Binary-Classification
A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks
Channel Selection and Creation Algorithms for Electroencephalography Classification with HIVE-COTE
A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel
A Personality-Based Recommender System for Semantic Searches in Vehicles Sales Portals
Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies
Intent Recognition Using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach
Parallelizing NSGAII for Accelerating the Registration Areas Optimization in Mobile Communication Networks
Markovian Ants in a Queuing System
HERA: A New Platform for Embedding Agents in Heterogeneous Wireless Sensor Networks
Agent-Based Web Resource Acquisition System for Scientific Knowledge Base
Enhancing IPADE Algorithm with a Different Individual Codification
Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection
EnerVMAS: Virtual Agent Organizations to Optimize Energy Consumption Using Intelligent Temperature Calibration
Hybrid Multiagent System for Automatic Object Learning Classification
A Hybrid Diploid Genetic Based Algorithm for Solving the Generalized Traveling Salesman Problem
Qualitative Reasoning on Complex Systems from Observations
A Fuzzy Quantitative Integrated Metric Model for CMMI Appraisal
Soft Clustering Based on Hybrid Bayesian Networks in Socioecological Cartography
A Hybrid Context-Aware Wearable System with Evolutionary Optimization and Selective Inference of Dynamic Bayesian Networks
Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models
Initialization Procedures for Multiobjective Evolutionary Approaches to the Segmentation Issue
Information-Theoretic Measures for Meta-learning
2-D Shape Representation and Recognition by Lattice Computing Techniques
Optimization of Joint Sales Potential Using Genetic Algorithm
A HMM-Based Location Prediction Framework with Location Recognizer Combining k-Nearest Neighbor and Multiple Decision Trees
A Hybrid Robotic Control System Using Neuroblastoma Cultures
Assessment of Risk in a Production System with the Use of the FMEA Analysis and Linguistic Variables
An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks
A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection
Time Series Forecasting Using Artificial Neural Networks - A Model for the IBEX 35 Index
Image Segmentation Based on Hybrid Adaptive Active Contour
A First Attempt on Monotonic Training Set Selection
Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses
Companion Classification Losses for Regression Problems
Context Representation and Fusion via Likelihood Masks for Target Tracking
A Novel Hybrid Nature-Inspired Scheme for Solving a Financial Optimization Problem
Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques
Action Space Size Effects in Reinforcement Learning for the Vehicle Routing Problem
Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings
An Adaptive Neighborhood Retrieval Visualizer
Employing Decision Templates to Imbalanced Data Classification
A Hybrid Solution for Advice in the Knowledge Management Field
A Hybrid Approach for Credibility Detection in Twitter
Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach
Mining Network Motif Discovery by Learning Techniques
Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities
Querying on Fuzzy Surfaces with Vague Queries
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data
Empirical Study of Q-Learning Based Elemental Hose Transport Control
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification
d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees
Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms
Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition
Spontaneous Facial Expression Recognition: Automatic Aggression Detection
Exploring Symmetry to Assist Alzheimer's Disease Diagnosis
Predictive Maintenance of Vehicle Fleets Using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets
Empirical Comparison of Resampling Methods Using Genetic Neural Networks for a Regression Problem
A Hybrid Feature Selection Approach Using Filter-Wrapped Evaluation (FWE) for Attack Detection in SDN
SPADE Norms: a Distributed General Framework for Normative Multi-agent Systems
Classification of Human Driving Behaviour Images Using Convolutional Neural Network Architecture
Depth-Based Outlier Detection Algorithm
Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities
A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments
Modeling Users Emotional State for an Enhanced Human-Machine Interaction
Learning Bipedal Walking Through Morphological Development
A Hybrid Approach to Closeness in the Framework of Order of Magnitude Qualitative Reasoning
Towards the Reduction of Data Used for the Classification of Network Flows
Classification Method for Differential Diagnosis Based on the Course of Episode of Care
SimplyQRL: A Modular Benchmarking Library for Hybrid Quantum Reinforcement Learning
Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning
A Hybrid Intelligent System for Generic Decision for PID Controllers Design in Open-Loop
Evolutionary Algorithm for Pathways Detection in GWAS Studies
Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention
An Increasing Hybrid Morphological-Linear Perceptron with Evolutionary Learning and Phase Correction for Financial Time Series Forecasting
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification
Evaluating the Privacy and Security Implications of AI-Based Medical Chatbots on Android Platforms
Prediction of Student Performance Through an Intelligent Hybrid Model
Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift
A Distributed Drone-Oriented Architecture for In-Flight Object Detection
Neuronal Implementation of Predictive Controllers
A Hybrid Bio-Inspired Tabu Search Clustering Approach
Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests
Discrimination of Resting-State fMRI for Schizophrenia Patients with Lattice Computing Based Features
Developing Adaptive Agents Situated in Intelligent Virtual Environments
Self-emergence of Lexicon Consensus in a Population of Autonomous Agents by Means of Evolutionary Strategies
Self-adaptive Coordination for Organizations of Agents in Information Fusion Environments
A Bio-inspired Fusion Method for Data Visualization
Symbolic Regression for Precrash Accident Severity Prediction
Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption
Structure Learning in Deep Multi-Task Models
CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners
A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection
Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates
Cloud Robotics in FIWARE: A Proof of Concept
Development of a Decision-Maker in an Anticipatory Reasoning-Reacting System for Terminal Radar Control
A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images
Craniofacial Superimposition Based on Genetic Algorithms and Fuzzy Location of Cephalometric Landmarks
Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology
Review of Hybridizations of Kalman Filters with Fuzzy and Neural Computing for Mobile Robot Navigation
A Short Analysis of Hybrid Approaches in COVID‑19 for Detection and Diagnosing
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure
A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem
Cellular Automata Rule Detection Using Circular Asynchronous Evolutionary Search
Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties
A Binary Classification Model for Toxicity Prediction in Drug Design
Hybrid Artificial Intelligence Approaches on Vehicle Routing Problem in Logistics Distribution
Ontology-Based Approach for Semi-automatic Generation of Subcategorization Frames for Spanish Verbs
Drifted Data Stream Clustering Based on ClusTree Algorithm
Stroke Based Handwritten Character Recognition
Reframing: Detector-Specific Prompt Tuning for Enhancing Open-Vocabulary Object Detection
A Fuzzy Logic Ensemble Approach to Concept Drift Detection
White Box Classification of Dissimilarity Data
Predicting PM 10 Concentrations Using Fuzzy Kriging
From Likelihood Uncertainty to Fuzziness: A Possibility-Based Approach for Building Clinical DSSs
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series
Parameter Extraction from RVS Stellar Spectra by Means of Artificial Neural Networks and Spectral Density Analysis
Maintaining Case Based Reasoning Systems Based on Soft Competence Model
Automatic Design of Radial Basis Function Networks Through Enhanced Differential Evolution
Rough Set-Based Analysis of Characteristic Features for ANN Classifier
Evaluation of the Risk in Production Systems with a Parallel Reliability Structure Taking into Account Its Acceptance Level
Computing Optimal Solutions of a Linear Programming Problem with Interval Type-2 Fuzzy Constraints
Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings
Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training
On-Edge Task Planning with Large Language Models for Service Robotics
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
Exploratory Matrix Factorization for PET Image Analysis
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
An Expert System for Building Energy Management Through the Web of Things
A General Purpose Context Reasoning Environment to Deal with Tracking Problems: An Ontology-Based Prototype
An Hybrid Architecture Integrating Forward Rules with Fuzzy Ontological Reasoning
PSO for Selecting Cutting Tools Geometry
Evolutionary Adapted Ensemble for Reoccurring Context
Personal Cognitive Assistant: Personalisation and Action Scenarios Expansion
Characterizing Massively Multiplayer Online Games as Multi-Agent Systems
Effective Bin Picking Approach by Combining Deep Learning and Point Cloud Processing Techniques
Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features
DAFNE - A Distributed and Adaptive Fusion Engine
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
A Novel General Hybrid System for Data Feature Selection
Hybrid Analytical and ANN-Based Modelling of Temperature Sensors Nonlinear Dynamic Properties
Comparative Evaluation of Semi-supervised Geodesic GTM
Establishing a Cooperation Between RadViz and SOM to Improve the Analyst Visual Experience
Hybrid Artificial Intelligent Systems - 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings
Varroa Mite Detection Using Deep Learning Techniques
A Hybrid One-Class Topology for Non-convex Sets
Comparing ACO Approaches in Epilepsy Seizures
RecMas: A Multiagent System Socioconfiguration Recommendations Tool
Combination of Neural Networks and Reinforcement Learning for Wind Turbine Pitch Control
Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study
A Survey of Hybrid Artificial Intelligence Algorithms for Dynamic Vehicle Routing Problem
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity
The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy
Comparing Hybrid Versions of SS and DE to Solve a Realistic FAP Problem
Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack
Two-Stage Neural Network Approach to Precise 24-Hour Load Pattern Prediction
A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder
Implementation of Classical Decision Trees in a Quantum Computing Paradigm
Textural and Shape Features for Lesion Classification in Mammogram Analysis
CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Means of Multidimensional AI Tools
Multiple Local Searches to Balance Intensification and Diversification in a Memetic Algorithm for the Linear Ordering Problem
DHGN Network with Mode-Based Receptive Fields for 2-Dimensional Binary Pattern Recognition
Anomaly Detection Over an Ultrasonic Sensor in an Industrial Plant
On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation
Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO
Coherence of COVID-19 Mortality of Spain Versus Western European Countries
Nearest Cluster Classifier
Hybrid Intelligent Model for Switching Modes Classification in a Half-Bridge Buck Converter
A Discussion on Trust Requirements for a Social Network of Eahoukers
An Incremental Hypersphere Learning Framework for Protein Membership Prediction
A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals
Neuro-Fuzzy Analysis of Atmospheric Pollution
A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization
Protein Fold Recognition with Combined SVM-RDA Classifier
Incorporating Temporal Constraints in the Planning Task of a Hybrid Intelligent IDS
Adaptive Graph Laplacian for Convex Multi-Task Learning SVM
Computer Aided Diagnosis of Schizophrenia Based on Local-Activity Measures of Resting-State fMRI
Pattern Recognition Based on Similarity in Linear Semi-ordered Spaces
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
Second Order Swarm Intelligence
Neural Networks for Background Rejection in DEAP-3600 Detector
Predicting Global Irradiance Combining Forecasting Models Through Machine Learning
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies
New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases
A GA-Based Wrapper Feature Selection for Animal Breeding Data Mining
R2-IBN: Argumentation Based Negotiation Framework for the Extended Enterprise
SmartFD: A Real Big Data Application for Electrical Fraud Detection
Adaptive Data Fusion for Air Traffic Control Surveillance
Deep CNN-Based Recognition of JSL Finger Spelling
Benchmarking IBHM Method Using NN3 Competition Dataset
Topos 2: Spiking Neural Networks for Bipedal Walking in Humanoid Robots
Identification of Anomalies in Urban Sound Data with Autoencoders
Comparison of Competitive Learning for SOM Used in Classification of Partial Discharge
Importance Weighted Adversarial Variational Bayes
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms
Bayesian Segmentation of Magnetic Resonance Images Using the α -Stable Distribution
Symbolic Hybrid Programming Tool for Software Understanding
Comparison of Labeling Methods for Behavioral Activity Classification Based on Gaze Ethograms
Feature Selection Based on a Decision Tree Genetic Algorithm
Accuracy Updated Ensemble for Data Streams with Concept Drift
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification
Incorporating a Temporal Bounded Execution to the CBR Methodology
Improving Evolved Alphabet Using Tabu Set
Multivariate Regime Identification and Prediction in Financial Markets via Gaussian Mixture and Gradient Boosting Methods
Indoor Access Control System Through Symptomatic Examination Using IoT Technology, Fog Computing and Cloud Computing
Multiobjective Reliability-Based Design Optimization Formulations Solved Combining NSGA-II and First Order Reliability Method
An Ontology-Based Recommender System Architecture for Semantic Searches in Vehicles Sales Portals
Assessing Safety of Object Pushing Using the Principle of Reversibility
PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
A Hybrid Cellular Genetic Algorithm for Multi-objective Crew Scheduling Problem
Smart Sketchpad: Using Machine Learning to Provide Contextually Relevant Examples to Artists
Artificial Neural Networks Application in Software Testing Selection Method
Design Patterns for Combining Social and Individual Intelligences on Modular-Based Agents
Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards
Classification Rule Mining with Iterated Greedy
Profiling Public Instagram Accounts with a Multimodal Vector for Hate Exposure Analysis
A Fine-Grained Study of Interpretability of Convolutional Neural Networks for Text Classification
Quantification and Visualization of a Heritage Conservation in a Quito Neighbourhood (Ecuador)
Hybrid Systems for Analyzing the Movements during a Temporary Breath Inability Episode
An Exploratory Research on Text-Independent Speaker Recognition
Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification
A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
On Combining Classifiers by Relaxation for Natural Textures in Images
A Parallel Meta-heuristic for Solving a Multiple Asymmetric Traveling Salesman Problem with Simulateneous Pickup and Delivery Modeling Demand Responsive Transport Problems
An Integer Linear Programming Model for Team Formation in the Classroom with Constraints
Multi-agent Reactive Planning for Solving Plan Failures
Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting
Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model
Enhancing Visual Place Inference via Image Ranking Using Fuzzy Similarity and Agreeability
Improving Forecasting Using Information Fusion in Local Agricultural Markets
A Review of Distributed Data Models for Learning
A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks
Generalized Fisher Kernel with Bregman Divergence
A Hybrid Neural Network-Based Trading System
MapFM: Foundation Model-Driven HD Mapping with Multi-task Contextual Learning
Neuro-Symbolic Reasoning with Multiple Large Language Models Combined by First-Order Logic
A View of the State of the Art of Dialogue Systems
Enhancing Active Learning Computed Tomography Image Segmentation with Domain Knowledge
Bio-Inspired Algorithms and Preferences for Multi-objective Problems
Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions
Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation
Fuzzy Classification with Multi-objective Evolutionary Algorithms
Visual System for Drivers' Eye Recognition
Object Tracking Using Grayscale Appearance Models and Swarm Based Particle Filter
Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations
An Empirical Comparison of Some Approximate Methods for Graph Coloring
Mono-modal Medical Image Registration with Coral Reef Optimization
Artificial Intelligence in Portfolio Selection Problem: A Review and Future Perspectives
Comparative Analysis of Recombination Operators in Genetic Algorithms for the Travelling Salesman Problem
Unveiling HIV-1 U Sequences: Shedding Light Through Transfer Learning on Genomic Spectrograms
Application of Extractive Text Summarization Algorithms to Speech-to-Text Media
Learning Logical Definitions of n-Ary Relations in Graph Databases
Characterization of Water Consumers in Urban Areas Based on Data Visualization Techniques
SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments
Hybrid Artificial Intelligent Systems - 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings
A Parallel Genetic Programming Algorithm for Classification
Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery
Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors
Finger Vein Pattern Extraction Algorithm
A Discrete Bat Algorithm for the Community Detection Problem
Agents in Home Care: A Case Study
GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training
Rough Sets-Based Identification of Heart Valve Diseases Using Heart Sounds
A Proposed Methodology for Setting the Finite Element Models Based on Healthy Human Intervertebral Lumbar Discs
Entropy and Organizational Performance
The Multivariate Entropy Triangle and Applications
Study of Outgoing Longwave Radiation Anomalies Associated with Two Earthquakes in China Using Wavelet Maxima