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Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings de Hugo Sanjurjo González

Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings: Lecture Notes in Computer Science, cartea 12886

Editat de Hugo Sanjurjo González, Iker Pastor López, Pablo García Bringas, Héctor Quintián, Emilio Corchado
en Limba Engleză Paperback – 7 sep 2021
This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021. The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.
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Specificații

ISBN-13: 9783030862701
ISBN-10: 3030862704
Pagini: 673
Ilustrații: XVI, 673 p. 221 illus., 161 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.95 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.