Hybrid Artificial Intelligent Systems : 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings / edited by Hugo Sanjurjo González, Iker Pastor López, Pablo García Bringas, Héctor Quintián, Emilio Corchado.

Format:

Book

Contributor:

Sanjurjo González, Hugo, Editor.

Pastor López, Iker, Editor.

García Bringas, Pablo, Editor.

Quintián, Héctor, Editor.

Corchado, Emilio, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12886

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12886

Language:

English

Subjects (All):

Artificial intelligence.

Social sciences-Data processing.

Data mining.

Computer vision.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

Computer Vision.

Local Subjects:

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

Computer Vision.

Physical Description:

1 online resource (XVI, 673 pages) : 221 illustrations, 161 illustrations in color.

Edition:

1st edition 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-86271-8

9783030862718

Access Restriction:

Restricted for use by site license.