Data Mining, Knowledge Discovery and Big Data
Document Similarity by Word Clustering with Semantic Distance
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
Content-based authorship identification for short texts in Social Media Networks
A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection
Bio-inspired Models and Evolutionary Computation
Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder
Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution
Managing gene expression in evolutionary algorithms with gene regulatory networks
Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection
Interurban Electric Vehicle Charging Stations through Genetic Algorithms
An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem
A Simple Genetic Algorithm for the Critical Node Detection Problem
Learning Algorithms
Window Size Optimization for GaussianProcesses in Large Time Series Forecasting
A binary classification model for toxicity prediction in drug design
Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding
Prototype Generation for Multi-label Nearest Neighbours Classification
Learning Bipedal Walking Through Morphological Development
Ethical Challenges from Artificial Intelligence to Legal Practice
Visual Analysis and Advanced Data Processing Techniques
Classification of burrs using contour features of image in milling workpieces
Adaptive Graph Laplacian for Convex Multi-Task Learning SVM
Fight detection in images using postural analysis
Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog
Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks
Machine Learning Applications
Fraudulent e-commerce websites detection through machine learning
More Interpretable Decision Trees
Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study
Hybrid Intelligent Applications
Speech emotion recognition by conventional machine learning and deep learning
Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets
Super Local Models for Wind Power Detection
A Comparison of Blink Removal Techniques in EEG signals
Hybrid intelligent model for switching modes classification in a half-bridge buck converter
Hybrid model to calculate the State Of Charge of a battery
Distance Metric Learning with Prototype Selection for Imbalanced Classification
Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability
A Hybrid Intelligent System to Detect Anomalies in Robot Performance
Counter intuitive COVID-19 propagation dynamics in Brazil
A Hybrid Bio-inspired Tabu Search Clustering Approach
A Non-parametric Fisher Kernel
Deep Learning Applications
Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities
Personal cognitive assistant: personalization and action scenarios expansion
Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory
Analysis of the seasonality in a geothermal system using projectionist and clustering methods
A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery
Deep Transfer Learning for interpretable Chest X-Ray diagnosis
Companion Losses for Deep Neural Networks
Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series
A preliminary analysis on software frameworks for the development of spiking neural networks
Edge AI for Covid-19 detection using coughing
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
A hybrid post-hoc interpretability approach for deep neural networks
Deep Learning Applications on Cybersecurity
Optimization Problem Applications
A Parallel Optimization Solver for the Multi-period WDND problem
Waste Collection Vehicle Routing Problem using filling predictions
Optimization of Warehouse Layout for the minimization of operation times
Simple meta-optimization of the feature MFCC for public Emotional datasets classification.