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Full Description
This book constitutes the proceedings of the 11th Annual International Conference on Information Management and Big Data, SIMBig 2024, held in Ilo, Peru, during November 20-22, 2024.
The 27 full papers and 1 short paper included in this book were carefully reviewed and selected from 102 submissions. They were organized in topical sections as follows: machine learning and deep learning; natural language processing; mining of social networks and online platforms; and signal and image processing.
Contents
Machine Learning and Deep Learning.- Preserving Hidden Hierarchical Structure: Poincaré Distance for Enhanced Genomic Sequence Analysis.- EPIC: Enhancing Privacy through Iterative Collaboration.- DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging.- An Scoping Review: Explainable Deep Learning Approach for Automated Sismo-Volcanic Event Classification.- Machine Learning Algorithms for Predicting Student Dropout in Engineering Programs.- A Deep Learning Model for Ingredient and Meal Quantity Estimation in Type 2 Diabetes Care.- Parallel Multi-objective Evolutionary Algorithms: A Systematic Literature Review.- Application of Multilayer Perceptron: Analysis of Socioeconomic Factors of Poverty in Peru.- Predicting Shear Strength at the Joint of a Beam and a Column Using Supervised Learning and Multivariate Neural Networks.- Prediction of Maximum Rainfall for Early warning of Heavy Rainfall with Multivariable Long-term Memory Networks and Temporal Transformers.- Electricity Demand Time Series Benchmark.- Natural Language Processing.- Leveraging LLMs for Enhanced Personality Trait Classification.- Comparison of Neural Network Models for the Implementation of a Chatbot in the University Admission Process.- Enhancing Academic Profiling with Advanced NLP Techniques: SBERT + KeyBERT.- Making an Under-Resourced Language Available on the Wikidata Knowledge Graph: Quechua Language.- Enhancing BERT Classification by Increasing Training Corpus Using Paraphrasing.- Transformer GPT-2 Model for Code Prediction in Machine Learning Projects.- Small Electra for Hate: A Transformer Lightweight Approach to Hate Text Classification.- Mining of Social Networks and Online Platforms.- Predictive Model Applying Sentiment Analysis on Tweets to Determine the Behavior of the Cryptocurrency Bitcoin.- ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels.- A Comparison of Classication Algorithms for Disaster Tweets.- Explainable Sentiment Analysis on Restaurant Reviews using an Evolutionary Algorithm.- Signal and Image Processing.- Spanish Historical Handwritten Text Recognition with Deep Learning.- Methodological Approach for the Development of a Mountain Glacier Dataset Using Satellite Imagery for Deep Learning Applications.- An Efficient Automatic Classification Hybrid Model to Identify Images of Commercial Starchy Corn.- Hybrid Quantum Model for Brain Tumor Classification.- Safycash: Mobile Application for Authentic Banknote Detection Using Image Processing Libraries and Convolutional Neural Networks.- Development of 1D-CNN Methods for Classifying Pediatric Epilepsy through EEG Signals.
