E-raamat: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings

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 viaDeep-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.