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Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part II /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent systems/ edited by Aline Paes, Filipe A. N. Verri.
其他題名:	34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.
其他題名:	BRACIS 2024
其他作者:	Verri, Filipe A. N.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xviii, 492 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Computers and Education. -
電子資源:	https://doi.org/10.1007/978-3-031-79032-4
ISBN:	9783031790324

Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part II /
Intelligent systems34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.Part II /[electronic resource] :BRACIS 2024edited by Aline Paes, Filipe A. N. Verri. - Cham :Springer Nature Switzerland :2025. - xviii, 492 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154130302-9743 ;. - Lecture notes in artificial intelligence..

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.

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.

ISBN: 9783031790324

Standard No.: 10.1007/978-3-031-79032-4doiSubjects--Topical Terms:

669806
Computers and Education.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Intelligent systems = 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024 : proceedings.. Part II /
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