34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part III Herausgegeben:Paes, Aline; Verri, Filipe A. N.
34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part III Herausgegeben:Paes, Aline; Verri, Filipe A. N.
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…mehr
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.
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Inhaltsangabe
.- 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.
.- 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.
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