Buch, Englisch, 679 Seiten, Format (B × H): 155 mm x 235 mm
25th Mexican International Conference on Artificial Intelligence, MICAI 2026, Chihuahua, Mexico, November 2–6, 2026, Proceedings, Part I
Buch, Englisch, 679 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-032-44175-1
Verlag: Springer
The two-volume set, LNAI 17149 and 17150, constitutes the proceedings of the 25th Mexican International Conference on Artificial Intelligence, MICAI 2026, held in Chihuahua, Mexico, during November 2-6, 2026.
The 78 full papers presented in these proceedings were carefully reviewed and selected from 253 submissions. The papers presented in these two volumes are organized in the following topical sections:
Part I - Applied Machine Learning; Natural Language Processing; and Neural Networks;
Part II - Knowledge-Based and Intelligent Systems; and Computational Intelligence and AI Applications.
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Weitere Infos & Material
.- Applied Machine Learning.
.- Adapted Objective Index of Water Pollution: A Transferable ML Approach .
.- Missingness-Mechanism-Aware Imputation for Environmental Monitoring Data: A Water-Body-Stratified Framework with a Case Study on Mexico’s National Water-Quality Database.
.- Forecasting Weekly Depression Incidence in Mexico: A Multi-Model Framework with Auditable Per-Series Model Selection.
.- Modeling Urban Dynamics and Forecasting Urban Expansion in the Zacatecas–Guadalupe Metropolitan Area, Mexico, Using Extended Support Vector Machine Formulations.
.- Pareto-Optimized Chain-of-Thought: Multi-Objective Evolutionary Optimization of Mathematical Reasoning Prompts.
.- Minimizing Error, Missing the Peak: Day-Ahead PM2.5 Forecasting and Health-Category Evaluation Against Mexico’s IAS in Monter.
.- Comparative Evaluation of Model Families for Humor Detection in Texts.
.- Deception Detection via Emotion Inference: Assessing Text Representations and Taxonomical Granularity.
.- Uncertainty-Aware Deep Learning for Structural Segmentation of Galaxies: A State-of-the-Art Review.
.- Behind Python: The Languages That Power AI.
.- A Benchmark of Five Machine-Learning Architectures for Daily Trading-Signal Classication on US Tech Equities.
.- AFM-GAT: Adaptive Feature Modulation in Graph Attention Networks for Enhanced Protein-Protein Interaction Prediction.
.- Forgetting Surgery: Data-Free Repair of Adapter-Induced Drift in Compact Models.
.- Adaptive Optimizer Sequencing for Kolmogorov-Arnold Networks.
.- Hyperspectral Band Selection Using Metaheuristics for the Detection of Aspergillus flavus in Figs with Machine Learning.
.- FedAWL: Client Selection via Age-Weighted Loss for Non-IID Federated Learning.
.- Evaluating Clustering Quality Through Validation Indices: An Experimental Framework for K-Means and Fuzzy C-Means.
.- Neural Networks .
.- Kolmorogov-Arnold Networks: Why Piecewise Linear Activation Functions Work Best? Why Only Addition and Multiplication Work Well? Towards a Possible Explanation.
.- Deepfake Image Recognition Using a Computationally Simple Deep Learning Approach: An Exploratory Analysis.
.- Multimodal Anxiety Detection via Cross-Attention Fusion of Speech, Text, and Facial Expression in Spanish.
.- Compact Temporal Representations for E”cient CNN-Based Seismic Velocity Inversion.
.- Hardware-Aware U-Net Architecture for FPGA-Based Computational Lithography.
.- The Impact of Color Spaces on Algorithmic Fairness in CNN-based Detection of GAN-generated Deepfakes.
.- Artificial neural network-based predictive revalidation of microbial alpha-diversity patterns in an experimental gut–brain axis model of Alzheimer’s disease.
.- Rainfall Modelling in a Semiarid Basin Using Deep Echo State Networks.
.- Modeling the Invisible: ML Prediction of Air Pollutants in a Complex Border Environment.
.- Natural Language Processing.
.- Bounded Behavioral Indistinguishability for Black-Box LLM Distillation.
.- Do Composite Narrative Indices Learn? Regularized Selection in Political Sentiment and Energy Volatility.
.- A Graph-Theoretic Framework for Semantic Clustering of Open-Ended Educational Responses
.- No Single Winner: Benchmarking Sentence Embeddings for Mexican Legal-Administrative Spanish over the DOF.
.- Mixed-Prompt Training for Robust Tool Learning in Ship Inspection.
.- LLM as a Judge on Summary Evaluation.
.- A Hybrid Graph and Topic-Based Approach for Phytosanitary Pest Event Detection from News.
.- EMPATH: A Multilingual Auditor–Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots.
.- A hybrid voting classifier for e”cient Topical and Dialectal Nahuatl classification.
.- Semantically Informed Graph Attention for Aspect-Based Sentiment Analysis.
.- Assessing the Impact of Endoscopic Image Enhancement on Monocular Depth Estimation in SCARED.
.- Embedding Quality for Safety Classification: A Systematic Benchmark of Guard Models, Base Decoders, and Encoders.
.- Benchmarking Pre-trained Language Models for Academic Document Recommendation in Educational Settings.
