Intelligent Systems: 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part II

by Aline Paes (Editor), Filipe A. N. Verri (Editor)

Overview

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.

Product Details

ISBN-13:	9783031790324
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/02/2025
Series:	Lecture Notes in Computer Science , #15413
Sold by:	Barnes & Noble
Format:	eBook
File size:	45 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- Main Track.
.- Going Bananas! - Unfolding Program Synthesis with Origami.
.- GovBERT-BR: A BERT-based Language Model for Brazilian Portuguese Governmental Data.
.- Growing Self-Organizing Maps for Multi-Label Classification.
.- HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2.
.- Heuristic Solutions for the 2D Bin-Packing Problem with Varied Size.
.- Humanities and AI: ethical education in technology careers.
.- Impact of parent selection operator on the FDEA algorithm.
.- Improving LLMs’ Reasoning and Planning with Finite-State Machines.
.- Improving Short-content Misinformation Detection using Multiple Aspect Trajectories Classification Techniques.
.- InRanker: Distilled Rankers for Zero-shot Information Retrieval.
.- Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving based on Bird’s-Eye View in Simulated Cities.
.- Investigating Universal Adversarial Attacks Against Transformers-based Automatic Essay Scoring Systems.
.- Likelihood Estimator for Multi Model-Based Reinforcement Learning.
.- LLM-Driven Chest X-Ray Report Generation With a Modular and Reduced-Size Architecture.
.- Multilingual Extractive Summarization: Investigating State-of-the-Art Methods for Brazilian Portuguese and Other Languages.
.- Multimodal and Hybrid Models for predicting SCD Risk in Chagas Cardiomyopathy.
.- On the Equivalence between Logic Programs and Bipolar Argumentation Frameworks.
.- Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising.
.- Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies.
.- Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies.
.- Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach.
.- Pseudonymization in Legal Texts according to the LGPD: A Named Entity Recognition Approach.
.- ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language.
.- Question Answering with Texts and Tables through Deep Reinforcement Learning.
.- Reinforcement Learning with Utility-Based Semantic for Goals.
.- SARA - A Generative AI for Legal Process Summarization Based on Chain of Density Prompt Engineering.
.- Semi-Supervised Predictive Clustering Trees for Multi-Label Protein Subcellular Localization.
.- Siamese Network-Based Prioritization for Enhanced Multi-Document Summarization.
.- Standing on the shoulders of giants.
.- SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section.
.- Traffic Forecasting using Federated Randomized High-order Fuzzy Cognitive Maps.
.- Unsupervised Statistical Keyword Extraction Pipeline: Is LLM All You Need?.
.- Using Complex Networks to Improve Legal Text Hierarchical Classification.