Intelligent Systems
Description
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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Content
.- 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.