Anomaly and Fault Detection
One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP
Application of anomaly detection models to malware detection in the presence of concept drift
Identification of anomalies in urban sound data with Autoencoders
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses
Data Mining and Decision Support Systems
Model performance prediction: a Meta-Learning approach for concept drift detection
Reinforcing Assessment Processes Using Proactive Case-Based Reasoning Mechanisms
Meta-Learning for hyperparameters tuning in CNNs for Chest Images
A Fuzzy Logic Ensemble Approach to Concept Drift Detection
Multi-Task Gradient Boosting
Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification
Exploring delay reduction on Edge Computing architectures from a Heuristic approach
Probability Density Function for Clustering Validation
Comprehensive analysis of different techniques for data augmentation and proposal of new variants of BOSME & GAN
Multidimensional Models Supported by Document-Oriented Databases
Financial Distress Prediction in an Imbalanced Data Stream Environment
Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise
Comparison of deep reinforcement learning path-following system based on road geometry and an adaptive cruise control for autonomous vehicles
Deep Learning
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Companion Classification Losses for Regression Problems
Analysis of transformer model applications
Real-time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling
Robust Losses in Deep Regression
Structure Learning in Deep Multi-Task Models
Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms
Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models
Optimizing LIME explanations using REVEL Metrics
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Varroa mite detection using deep learning techniques
Evolutionary Computation and Optimization
Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions
A hybrid based genetic algorithm for solving the clustered generalized traveling salesman problem
Feature Ranking for Feature Sorting and Feature Selection with Optimisation
Efficient Simulation of Pollutant Dispersion using Machine Learning
Hybrid Intelligent Parsimony Search in Small High-dimensional Datasets
An integer linear programming model for team formation in the classroom with constraints
Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization
Time of Arrival error characterization for precise indoor localization of Autonomous Ground Vehicles
Feature Selection based on a Decision Tree Genetic Algorithm
Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman Problem
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering
The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection
HAIS Applications
Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset
Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine
Statistical Dialog Tracking and Management for Task-oriented Conversational Systems
A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand
Using Large Language Models for Interpreting Autonomous Robots Behaviors
Comparative analysis of intelligent techniques for categorization of the operational status of LiFePo4 batteries
To Enhance Full-Text Biomedical Document Classification through Semantic Enrichment
Predicting innovative cities using spatio-temporal activity patterns
Daily accumulative photovoltaic energy prediction using hybrid intelligent model
Comparison of geospatial trajectory clustering and feature trajectory clustering for public transportation trip data
Image and Speech Signal Processing
Adapting YOLOv8 as a vision-based animal detection system to facilitate herding
Image classification understanding with Model Inspector tool
Study on Synthetic Video Generation of Embryo Development
Image reconstruction using Cellular Automata and Neural Networks
Agents and Multiagents
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results
The Problem of Concept Learning and Goals of Reasoning in Large Language Models
Multi-Agent System for Multimodal Machine Learning Object Detection
Biomedical Applicatons
Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images
Risk factors and survival after premature hospital readmission in frail subjects with delirium
Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection
Coherence of COVID-19 mortality of Spain versus western European countries
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses
Textural and shape features for lesion classification in mammogram analysis
Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach.