Intelligent Systems

Intelligent Systems

34th Brazilian Conference, BRACIS 2024, Belem do Para, Brazil, November 17-21, 2024, Proceedings, Part II

Verri, Filipe A. N.; Paes, Aline

Springer International Publishing AG

02/2025

482

Mole

9783031790317

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.
Artificial Intelligence;Natural Language Processing;Information Extraction;Machine Learning;Data Mining;Deep Learning;Fair AI;Evolutionary Algorithms;Metaheuristics;Time Series Forecasting;Reinforcement Learning;Federated Learning;Logics and Semantics;AI for Social Good;AI for Education;Speech Recognition;AutoML;Smart Cities;Explainable AI;Human Activity Recognition