Intelligent Systems 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17–21, 2024, Proceedings, Part III

2025

1st ed. 2025.

Lecture Notes in Artificial Intelligence; 15414

Summary: The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Pará, Brazil, during November 17–21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.

Online; Non-fiction; Electronic document

English

Springer Nature Computer Science (R0) eBooks 2025 English/International; Springer Lecture Notes in Computer Science eBooks

Artificial intelligence, Database management, Data mining, Social sciences -- Data processing, User interfaces (Computer systems), Human-computer interaction, Education -- Data processing, Artificial Intelligence, Database Management, Data Mining and Knowledge Discovery, Computer Application in Social and Behavioral Sciences, User Interfaces and Human Computer Interaction, Computers and Education

-- Other AI Applications. -- A Case Study on Water Demand Forecasting in a Coastal Tourist City. -- A Knowledge Engineering-Based Approach to Detect Gaming the System in Novice Programmers. -- Acoustic Features and Autoencoders for Fault Detection in Rotating Machines: A Case Study. -- Affective states in novice programmers: automatically detecting and analyzing the impact on learning. -- An Analysis of Time-Frequency Consistency in Human Activity Recognition. -- An Evaluation of Temporal Neighborhood Coding Variants in Smartphone-Based Human Activity Recognition. -- AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images using Anisotropic Filtering and Vision Transformer. -- Anomalies diagnostic in endoscopic images using Deep Learning Ensemble models. -- Automated Segmentation of Computed Tomography Images for COVID-19 Patient Evaluation. -- Combining clustering and genetic algorithms for portfolio optimization: a case study with B3 companies. -- Comparative Analysis of Machine Learning Algorithms for Identifying Genetic Markers Linked to Alzheimer’s Disease. -- Comparing LIME and SHAP global explanations for Human Activity Recognition. -- Damage Identification of Wind Turbine Blades. -- Emotion Recognition in Instrumental Music Using AI. -- Enhancing Multiobjective Genetic Algorithms for Pharmaceutical Batch Scheduling: A Study on Partitioned Selection with constraints and Mutation Greedy Local Search Strategy. -- Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora. -- Evaluating Short Text Stream Clustering on Large E-commerce Datasets. -- Evolutionary Adjustment of a Cellular Automata-based Model for Wildfire Spreading. -- Exploring Score-based Ranking Fairness in Marketplace Environments through Simulation. -- HAVANA: Hybrid Attentional Graph Convolutional Network Semantic Venue Annotation Model. -- Impact of Pre-training Datasets on Human Activity Recognition with Contrastive Predictive Coding. -- Improving Colorectal Cancer Diagnosis using MIRNet and InceptionV3 on Histopathological. -- Integrating tensor-based data analytics and adaptive prediction for informed decision-making support. -- Investigating Methods to Detect Off-Topic Essays. -- Machine Learning and Time Series Analysis to Forecast Hotel Room Prices. -- Modeling and Predicting Crimes in the City of S˜ao Paulo Using Graph Neural Networks. -- Predicting Engagement of Brazilian Politicians on TikTok: A Machine Learning Approach. -- Preserving Privacy and Enhancing Robustness: Federated Learning for Lung Disease Identification in Chest X-Ray Images. -- RLPortfolio: Reinforcement Learning for Financial Portfolio Optimization. -- Scaling and Adapting Large Language Models for Portuguese Open Information Extraction: A Comparative Study of Fine-Tuning and LoRA. -- Special-Crowd-Distance boosted MESH applied to the operation of cascade hydro-power plants. -- The Impact of Double Transfer Learning in VGG Architectures for Metastasis Breast Cancer Detection.