Advances in Computational Intelligence : 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II / edited by Obdulia Pichardo Lagunas, Juan Martínez-Miranda, Bella Martínez Seis.

Format:

Book

Contributor:

Martínez-Miranda, Juan, editor.

Martínez Seis, Bella, editor.

Pichardo Lagunas, Obdulia, editor.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13613

Language:

English

Subjects (All):

Artificial intelligence.

Computers.

Computer engineering.

Computer networks.

Application software.

Artificial Intelligence.

Computing Milieux.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Local Subjects:

Artificial Intelligence.

Computing Milieux.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Physical Description:

1 online resource (402 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022. The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions. The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume contains 29 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics.

Contents:

Machine and Deep Learning

Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks

Cross-target Stance Classification as Domain Adaptation

Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation

Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring

MACFE: A Meta-learning and Causality Based Feature Engineering Framework

Time Series Forecasting with Quantum Machine Learning Architectures

Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks

Reinforcement Learning with Success Induced Task Prioritization

Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network

Machine Learning-based Decision Making in Evolutionary Multiobjective Clustering

RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller

Pursuing the Deep-Learning-based Classification of Exposed and Imagined Colors from EEG

Data Stream Mining for Dynamic Student Modeling

CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling

Heart Failure Disease Prediction Using Machine Learning Models

Classification of flood warnings applying a convolutional neural network

Machine Learning Techniques in Credit Default Prediction

Convolutional and dense ANN for cloud kinetics fore-casting using satellite images

The role of the number of examples in Convolutional Neural Networks with Hebbian Learning

Image Processing and Pattern Recognition

Vision-based Gesture Recognition for Smart Light Switching

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification

A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures

Towards an interpretable model for automatic classification of endoscopy images

Reversible image authentication scheme with tampering reconstruction based on very deep super resolution network

Improving artefact detection in endoscopic video using a real-time ensemble method

White Blood Cell Detection and Classification in Blood Smear Images Using a One-Stage Object Detector and Similarity Learning

Evolutionary and Metaheuristic Algorithms

Towards A Complete Multi-Agent Pathfinding Algorithm For Large Agents

Analysis Of The Anytime MAPF Solvers Based On The Combination Of Conflict-Based Search (CBS) and Focal Search (FS)

Studying Special Operators for the Application of Evolutionary Algorithms in the Search of Optimal Boolean Functions for Cryptography

Unification of Source-Code Re-use Similarity Measures

Considerations in the Incremental Hypervolume Algorithm of the WFG

A Hybrid Hyperheuristic Approach for the Containership Stowage Problem Considering the Ship Stability

Mathematical optimization model for raw sugar unloading delay from harbor to storage silos.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Pichardo Lagunas, Obdulia Advances in Computational Intelligence

ISBN:

9783031194962

3031194969