Advances in Soft Computing

The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21-25, 2024.

The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections:

Part I - Machine Learning; Computer Vision.

Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.

. - Intelligent Systems.
. - Speeding up the Multi-Objective NAS Through Incremental Learning.
. - Tax Underreporting Detection using an Unsupervised Learning Approach.
. - Unsupervised anomaly detection algorithms unveil relevant temporal and spatial patterns in the SARS COV2 codon usage in M exico.
. - Spatial intelligent estimation of energy consumption.
. - Exploring Classificational Cellular Automaton Hyper-heuristics for Solving the Knapsack Problem.
. - Enhancing Reptile Search Algorithm Performance for the Knapsack Problem with Integration of Chaotic Map.
. - Optimal Fuzzy-Genetic Self-Tuning for Tracking Photovoltaic Peak Power.
. - Novel Approaches to the Minimum Identifying Code Problem Using Enhanced Genetic Algorithms.
. - Bioinformatics and Medical Applications.
. - Emotion recognition Method based on EEG Signal Processing, Simplified Inception Network and Discrete Model.
. - Enhancing User Authentication Through EEG based P300 Speller Response.
. - Detecting Alzheimer s Disease through the Use of Language Impairment Features.
. - From EEG Signal Acquisition and Classification to Mobile Integration: A Comprehensive Framework.
. - Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
. - Natural Language Processing.
. - Automatic Text Summarization based on Transportation Network and Word Mover s Distances embeddings: a toy experiment.
. - Identification of Fake Users in Mobile Communication Using Sentiment Analysis Techniques.
. - RESTful API for intent recognition based on RASA.
. - Predicting the 2024 Mexican Presidential Election with Social Media.
. - Multilevel Analyses of Russian Texts with RuLingva: a case study.
. - Attention + LSTM Aspect-based Sentiment Analysis for multi-label classification.