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 ofArrival 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 En
