{"id":644,"date":"2024-09-06T09:02:04","date_gmt":"2024-09-06T12:02:04","guid":{"rendered":"https:\/\/sbbd.org.br\/2024\/?page_id=644"},"modified":"2024-09-09T15:49:05","modified_gmt":"2024-09-09T18:49:05","slug":"artigos-completos","status":"publish","type":"page","link":"https:\/\/sbbd.org.br\/2024\/en\/artigos-completos\/","title":{"rendered":"Full Papers"},"content":{"rendered":"

ST1 – Sess\u00e3o T\u00e9cnica 1<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Segunda
\n(14\/10)
\n<\/th>		Data Science Applications <\/th>Chair: Damires Souza (IFPB)<\/th>\n<\/tr>\n<\/thead>\n
16:30<\/td>Performance Variability of Machine Learning Models using Limited Data for Collusion Detection: A Case Study of the Brazilian Car Wash Operation<\/td>Everton Schneider dos Santos (Universidade Federal de Santa Catarina),
\nMatheus Machado dos Santos (Universidade Federal de Santa Catarina),
\nM\u00e1rcio Castro (Universidade Federal de Santa Catarina),
\nJonata Tyska Carvalho (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n
16:50<\/td>Detecting Fraud in Public Procurement: A GMM-Based Approach to Analyzing Tender Data<\/td>Fernando Schmitz (Federal University of Santa Catarina),
\nL\u00edvia Ferr\u00e3o (Universidade Federal de Santa Catarina),
\nMatheus Machado dos Santos (Universidade Federal de Santa Catarina),
\nM\u00e1rcio Castro (Federal University of Santa Catarina),
\nJonota Tyska Carvalho (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n
17:10<\/td>Na batida do funk: modelagem de t\u00f3picos combinando LLM, Engenharia de Prompt e BERTopic<\/td>Jesus Yepez (UFRGS),
\n Bruno Santos (UFRGS),
\n Fab\u00edola Peres (UFRGS),
\n Karin Becker (UFRGS)<\/td>\n<\/tr>\n
17:30<\/td>Contrato360: uma aplica\u00e7\u00e3o de perguntas e respostas usando modelos de linguagem, documentos e bancos de dados<\/td>Antony Medeiros (BNDES \/ PUC-Rio),
\nClaudio Fraga (BNDES \/ PUC-Rio),
\nJoao Nepomuceno (BNDES),
\nLucas Lago (BNDES),
\nNicolaas Ruberg (BNDES),
\nSergio Lifschitz (PUC-Rio)<\/td>\n<\/tr>\n
17:50<\/td>DepreBERTBR: Um Modelo de Linguagem Pr\u00e9-treinado para o Dom\u00ednio da Depress\u00e3o no Idioma Portugu\u00eas Brasileiro<\/td>Ayrton Herculano (Instituto Federal da Para\u00edba),
\nDamires Souza (Instituto Federal da Para\u00edba (IFPB)),
\nAlex Sandro da Cunha R\u00eago (Instituto Federal da Para\u00edba)<\/td>\n<\/tr>\n
18:10<\/td>Utilizando Aprendizado de M\u00e1quina para Classifica\u00e7\u00e3o da D\u00edvida Ativa do Estado de Sergipe<\/td>Yuri Sant’Anna (Federal Univesity of Pernambuco),
\nLuiz Felipe Souza (Universidade Federal de Sergipe),
\nAnt\u00f4nio Alves Neto (Federal University of Sergipe),
\nAndr\u00e9 Britto (Universidade Federal do Sergipe),
\nRen\u00ea Gusm\u00e3o (Universidade Federal de Sergipe),
\nMax Castor (Centro Universit\u00e1rio Est\u00e1cio Sergipe)
\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

ST2 – Sess\u00e3o T\u00e9cnica 2<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Segunda (14\/10)<\/th>Data and Information Quality <\/th>Chair: Dimas Cassimiro do Nascimento Filho (UFAPE)<\/th>\n<\/tr>\n<\/thead>\n
16:30<\/td>An\u00e1lise da Robustez de Algoritmos de Aprendizado de M\u00e1quina em Dados do Transtorno do Espectro Autista<\/td>Saulo de Freitas Lino (Federal University of Cear\u00e1 \u2013 Quixad\u00e1 Campus),
\nL\u00edvia Cruz (Universidade Federal do Cear\u00e1),
\nPaulo T. Guerra (Universidade Federal do Cear\u00e1)<\/td>\n<\/tr>\n
16:50<\/td>An\u00e1lise e Publica\u00e7\u00e3o de Dados de Processos Eletr\u00f4nicos em Organiza\u00e7\u00f5es P\u00fablicas<\/td>Ivan Salvadori (Federal University of Technology \u2013 Paran\u00e1)<\/td>\n<\/tr>\n
17:10<\/td>Humanizing Answers for Compatibility Questions in E-commerce using Large Language Models<\/td>Andre Regino (Universidade Estadual de Campinas – Unicamp),
\n Victor Hochgreb de Freitas (GoBots),
\nJulio Dos Reis (Instituto de Computa\u00e7\u00e3o da Universidade Estadual de Campinas)<\/td>\n<\/tr>\n
17:30<\/td>Identifica\u00e7\u00e3o e Caracteriza\u00e7\u00e3o de Reclama\u00e7\u00f5es Duplicadas por Consumidores em M\u00faltiplas Plataformas<\/td>Gestefane Magalh\u00e3es (Universidade Federal de Minas Gerais),
\nMarcelo M. R. Ara\u00fajo (Universidade Federal de Minas Gerais),
\nJ\u00falia de Viterbo (Universidade Federal de Minas Gerais),
\nMarcos Gon\u00e7alves (Universidade Federal de Minas Gerais),
\nGabriel Kakizaki (Universidade Federal de Vi\u00e7osa),
\nJulio C. S. Reis (Universidade Federal de Vi\u00e7osa),
\nRaquel Prates (Universidade Federal de Minas Gerais)<\/td>\n<\/tr>\n
17:50<\/td>Optimizing Botanical Data Integrity: A Comparative Study of Text Similarity Methods<\/td>Luma Cerqueira (Universidade Federal de Santa Catarina),
\nCarina F. Dorneles (Universidade Federal de Santa Catarina),
\nSimone Werner (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n
18:10<\/td>Unveiling the Segmentation Power of LLMs: Zero-Shot Invoice Item Description AnalysiS<\/td>Vit\u00f3ria Soares dos Santos (Federal University of Santa Catarina),
\nCarina F. Dorneles (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

ST3- Sess\u00e3o T\u00e9cnica 3<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Ter\u00e7a (15\/10)<\/th>Best Papers <\/th>Chair: Altigran Soares da Silva (UFAM)<\/th>\n<\/tr>\n<\/thead>\n

\n
\n
\n
\n14:00<\/td>
\n
\n
\n
\nAk\u00f4Flow: um Middleware para Execu\u00e7\u00e3o de Workflows Cient\u00edficos em M\u00faltiplos Ambientes Conteinerizados<\/td>		Daniel de Oliveira (Universidade Federal Fluminense),
\nAline Paes (Universidade Federal Fluminense),
\nMarcos Bedo (Universidade Federal Fluminense),
\nLiliane Neves de Oliveira Kunstmann (COPPE\/UFRJ),
\nWesley Ferreira (Universidade Federal Fluminense)<\/td>\n<\/tr>\n

\n14:20<\/td>
\nDesempenho de opera\u00e7\u00f5es distribu\u00eddas de agrupamento por similaridade em dados de alta dimensionalidade por meio da VP-Tree<\/td>		Ana Paula da Silva (Universidade Federal de Uberl\u00e2ndia),
\nHumberto Razente (Universidade Federal de Uberlandia)<\/td>\n<\/tr>\n

\n
\n
\n14:40<\/td>
\n
\n
\nEvaluating Domain-adapted Language Models for Governmental Text Classification Tasks in Portugues<\/td>		Mariana O. Silva (Universidade Federal de Minas Gerais),
\nLucas L. Costa (Universidade Federal de Minas Gerais),
\nGabriel P. Oliveira (Universidade Federal de Minas Gerais),
\nGisele Pappa (Universidade Federal de Minas Gerais)<\/td>\n<\/tr>\n

\n
\n15:00<\/td>
\n
\nEvolu\u00e7\u00e3o Incremental de Esquemas de Banco de Dados Orientado a Documentos<\/td>		Eleonilia Rodrigues (Universidade Federal de Campina Grande),
\nCarlos Santos Pires (Federal University of Campina Grande),
\nDimas Cassimiro Nascimento (Universidade Federal do Agreste de Pernambuco (UFAPE))<\/td>\n<\/tr>\n

\n
\n15:20<\/td>
\n
\nPrivacidade Diferencial em Gradient Boosting Decision Trees com T\u00e9cnicas de Particionamento para Dados Categ\u00f3ricos<\/td>		Gabriel Magalhaes Alves (LSBD\/UFC),
\nFrancisco Pereira (Universidade Federal do Cear\u00e1),
\nIago Chaves (Universidade Federal do Cear\u00e1),
\nJavam Machado (Universidade Federal do Cear\u00e1)<\/td>\n<\/tr>\n

\n
\n15:40<\/td>
\n
\nScientific Workflow Deployment: Container Provenance in High-Performance ComputinG<\/td>		Liliane Neves de Oliveira Kunstmann (COPPE\/UFRJ),
\nD\u00e9bora Pina (COPPE\/UFRJ),
\nDaniel de Oliveira (Universidade Federal Fluminense),
\nMarta Mattoso (COPPE\/UFRJ)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

ST4- Sess\u00e3o T\u00e9cnica 4<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Ter\u00e7a (15\/10)<\/th>Specialized Data Management<\/th>Chair: Jorge Soares (CEFET\/RJ)<\/th>\n<\/tr>\n<\/thead>\n

\n14:00<\/td>
\nCL-raster: Uma Nova Abordagem para Compacta\u00e7\u00e3o e Processamento de S\u00e9ries de Dados Raster<\/td>		Luana Reis (Universidade Estadual de Londrina),
\nDaniel Kaster (UEL \u2013 Universidade Estadual de Londrina)<\/td>\n<\/tr>\n

\n
\n
\n14:20<\/td>
\n
\n
\nFrom Text to Locations: Repurposing Language Models for Spatial Trajectory Similarity Assessment<\/td>		Wilken Charles Dantas de Melo (Universidade Federal do Ceara),
\nL\u00edvia Cruz (Universidade Federal do Cear\u00e1),
\nRegis Magalh\u00e3es (Universidade Federal do Cear\u00e1),
\nTiciana Linhares Coelho da Silva (Universidade Federal do Cear\u00e1),
\nFrancesco Lettich (ISTI \u2013 CNR \u2013 France)<\/td>\n<\/tr>\n

\n
\n14:40<\/td>
\n
\nIncorporando os Requisitos e as Restri\u00e7\u00f5es da LGPD ao Projeto de Banco de Dados<\/td>		Patricia Barros (Universidade Federal do Piau\u00ed),
\nJos\u00e9 Monteiro (Universidade Federal do Cear\u00e1),
\nJavam Machado (Federal University of Cear\u00e1),
\nAngelo Brayner (Federal University of Ceara)<\/td>\n<\/tr>\n

\n
\n15:00<\/td>
\n
\nLocally Differentially Private and Consistent Frequency Estimation of Longitudinal Data<\/td>		Ant\u00f4nio Marreiras Neto (Federal University of Cear\u00e1),
\nEduardo Rodrigues (Federal University of Cear\u00e1),
\nSerafim Costa (Federal University of Cear\u00e1),
\nJavam Machado (Federal University of Cear\u00e1)<\/td>\n<\/tr>\n

\n15:20<\/td>
\nUm M\u00e9todo Centrado em Dados para Melhorar a Seguran\u00e7a de Transportes Coletivos Municipais<\/td>		Thais Braga (Universidade Federal de Vi\u00e7osa),
\nVin\u00edcius Almeida (Universidade Federal de Vi\u00e7osa),
\nFabr\u00edcio Silva (Universidade Federal de Vi\u00e7osa)<\/td>\n<\/tr>\n

\n15:40<\/td>
\nMaster-MobilityDB: A Persistence and Manipulation Layer for Trajectories of Multiple Aspects<\/td>		Flaris Feller (Universidade Federal de Santa Catarina),
\nRonaldo Mello (Universidade Federal de Santa Catarina)
\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

ST5- Sess\u00e3o T\u00e9cnica 5<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Ter\u00e7a (15\/10)<\/th>Machine Learning <\/th>Chair: Agma Traina (ICMC-USP)<\/th>\n<\/tr>\n<\/thead>\n

\n16:30<\/td>
\nAn Empirical Analysis of Data Drift Detection Techniques in Machine Learning Systems<\/td>		Lucas Helfstein (Universidade de S\u00e3o Paulo),
\nKelly Braghetto (IME\/USP)<\/td>\n<\/tr>\n

\n
\n16:50<\/td>
\nCombinando Redes Neurais Convolucionais e Distribui\u00e7\u00e3o Smoothed Pseudo Wigner Ville na Classifica\u00e7\u00e3o de Sinais Radar de Baixa Probabilidade de Intercepta\u00e7\u00e3<\/td>		Edgard Alves (Instituto Militar de Engenharia),
\nJorge Alves (Escola Naval),
\nRonaldo Goldschmidt (Instituto Militar de Engenharia)<\/td>\n<\/tr>\n

\n
\n17:10<\/td>
\nEnriquecimento de Dados com Base em Estat\u00edsticas de Grafo de Similaridade para Melhorar o Desempenho em Modelos de ML Supervisionados de Classifica\u00e7\u00e3o<\/td>		Ney Barchilon (PUC \u2013 Pont\u00edfice Universidade Catolica \u2013 RJ),
\nHelio Vieira Lopes (PUC-Rio),
\nMarcos Kalinowski (PUC-Rio),
\nJefry Sastre (PUC-Rio)<\/td>\n<\/tr>\n

\n17:30<\/td>
\nIdentifying Technological Trends: A Patent Analysis Method for Technology Forecasting<\/td>		Alexandre Gon\u00e7alves (Universidade Federal de Santa Catarina),
\nBartholomeu Barcelos (Universidade Federal de Santa Catarina),
\nPatrick Kochan (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n

\n
\n17:50<\/td>
\n
\nLeveraging Geographic Feature Embeddings for Enhanced Location-Based Recommendation Systems<\/td>		Nicolas Moreira Nobre Leite (Federal University of Campina Grande),
\nClaudio Campelo (Universidade Federal de Campina Grande),
\nSalatiel Silva (Federal University of Campina Grande)<\/td>\n<\/tr>\n

\n
\n
\n
\n
\n18:10<\/td>
\n
\n
\n
\n
\nSpeech Recognition Models in Assisting Medical History<\/td>		Yanna Gon\u00e7alves (Federal University of Cear\u00e1),
\nJo\u00e3o Alves (Federal University of Cear\u00e1),
\nBreno Alef Dourado S\u00e1 (Federal University of Cear\u00e1),
\nLazaro Silva (Universidade Federal do Cear\u00e1),
\nJos\u00e9 Macedo (Universidade Federal do Cear\u00e1),
\nTiciana Linhares Coelho da Silva (Universidade Federal do Cear\u00e1)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

ST6- Sess\u00e3o T\u00e9cnica 6<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Ter\u00e7a (15\/10)<\/th>NoSQL and Database Engines <\/th>Chair: Angelo Augusto Frozza (IFC Cambori\u00fa)<\/th>\n<\/tr>\n<\/thead>\n

\n
\n
\n16:30<\/td>
\n
\n
\nAn\u00e1lise de Desempenho em Banco de Dados Temporais Aplicado no Cen\u00e1rio de Dados de Pot\u00eancia El\u00e9trica<\/td>		Vitor Santos (Universidade Tecnologica Federal do Parana),
\nViviane Dal Molin (Universidade Tecnol\u00f3gica Federal do Paran\u00e1 \u2013 UTFPR),
\nJefferson Oliva (Universidade Tecnol\u00f3gica Federal do Paran\u00e1),
\nIves Pola (Universidade de Sao Paulo)<\/td>\n<\/tr>\n

\n
\n16:50<\/td>
\n
\nEnumeration, Tagged Unions, Tuples, and Collections: A Noval Approach to Extracting JSON Schema<\/td>		Nat\u00e1lia Banhara (Universidade Federal da Fronteira Sul),
\nGeomar Schreiner (UFFS),
\nDenio Duarte (UFFS),
\nSamuel Feitosa (Universidade Federal da Fronteira Sul)<\/td>\n<\/tr>\n
17:10<\/td>M\u00e9tricas para An\u00e1lise de Esquemas em Banco de Dados NoSQL Orientado a Documentos<\/td>Harley Vera-olivera (Universidad San Antonio Abad del Cusco \/ Universidade de Bras\u00edlia \u2013 Peru),
\nMaristela Holanda (Universidade de Bras\u00edlia)<\/td>\n<\/tr>\n
17:30<\/td>MM-DIRECT: Main memory database instant recovery with tuple consistent checkpoint (dissemination)<\/td>Arlino Magalhaes (Federal University of Piaui)
\nAngelo Brayner (Federal University of Ceara)
\nJose Maria Monteiro (Federal University of Ceara)<\/td>\n<\/tr>\n

\n17:50<\/td>		Otimiza\u00e7\u00e3o Autom\u00e1tica de Par\u00e2metros em Aplica\u00e7\u00f5es de Big Data Baseadas em M\u00faltiplos Frameworks<\/td>Bruna de Mello (Universidade Federal Fluminense),
\nYuri Frota (Federal Universidade Federal Fluminense),
\nDaniel de Oliveira (Universidade Federal Fluminense)<\/td>\n<\/tr>\n
18:10<\/td>Privacy-Preserving Data Synthesis (dissemination)<\/td>Chang Ge (University of Minnesota)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

ST7- Sess\u00e3o T\u00e9cnica 7<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t
Quarta (16\/10)<\/th>Semantic web, linked data and ontologies<\/th>Chair: Renato Fileto (UFSC)<\/th>\n<\/tr>\n<\/thead>\n

\n
\n8:30<\/td>
\n
\nA Data Design Pattern for Building and Exploring Semantic Views of Enterprise Knowledge Graphs<\/td>		Vania Vidal (Universidade Federal do Cear\u00e1),
\nRenato Freitas (Universidade Federal do Cear\u00e1),
\nNarciso Arruda Jr (University of Cear\u00e1),
\nMarco Antonio Casanova (PUC-Rio),
\nChiara Renso (KDDLAB ISTI\/CNR \u2013 Italy)<\/td>\n<\/tr>\n

\n8:50<\/td>
\nAn Ontology for Context Modeling in Smart Spaces (dissemination)<\/td>		Leonardo Vianna do Nascimento (Federal University of Rio Grande do Sul)
\nJos\u00e9 Palazzo Moreira de Oliveira (Federal University of Rio Grande do Sul)<\/td>\n<\/tr>\n

\n
\n
\n9:10<\/td>
\n
\n
\nEnhancing heterogeneous mobile network management based on a well-founded reference ontology (dissemination)<\/td>		Julio Cesar Cardoso Tesolin (Military Institute of Engineering \u2013 IME)
\nAndr\u00e9 M. Demori (Military Institute of Engineering \u2013 IME)
\nDavid Fernandes Cruz Moura (Centro Tecnol\u00f3gico do Ex\u00e9rcito \u2013 CACTT-CPQD)
\nMaria Cl\u00e1udia Cavalcanti (Military Institute of Engineering \u2013 IME)<\/td>\n<\/tr>\n

\n9:30<\/td>
\nTowards an Ontology for User Activities on Smart Environments<\/td>		Leonardo Nascimento (Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Rio Grande do Sul),
\nJos\u00e9 Palazzo Moreira de Oliveira (UFRGS)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

ST8- Sess\u00e3o T\u00e9cnica 8<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Quarta (16\/10)<\/th>Data Mining and Analytics <\/th>Chair: Ticiana Linhares Coelho da Silva (UFC)<\/th>\n<\/tr>\n<\/thead>\n

\n
\n
\n
\n14:00<\/td>
\n
\n
\n
\nAdicionando suporte \u00e0 diversifica\u00e7\u00e3o de resultados em \u00edndices HNSW considerando espa\u00e7os de baixa e alta dimensionalidade<\/td>		Mauro Weber Universidade Federal Fluminense,
\nJo\u00e3o Vitor Leite (Universidade Federal Fluminense),
\nLucio Fernandes Dutra Santos (IFNMG),
\nDaniel de Oliveira (Universidade Federal Fluminense),
\nMarcos Bedo (Universidade Federal Fluminense)<\/td>\n<\/tr>\n

\n
\n14:20<\/td>
\nAn\u00e1lise dos Fatores Socioambientais e Comportamentais na Identifica\u00e7\u00e3o do Transtorno Obsessivo Compulsivo: Uma Abordagem com Dados da Pesquisa Nacional de Sa\u00fade 2019<\/td>		Anna Puga Campos Rodrigues (PUC Minas),
\nLuis Z\u00e1rate (Pntif\u00edcia Universidade Cat\u00f3lica de Minas Gerais)<\/td>\n<\/tr>\n

\n
\n
\n
\n14:40<\/td>
\n
\n
\n
\nData-Centric AI for predicting non-contact injuries in professional soccer playerS<\/td>		Matheus Melo (Cefet\/RJ),
\nMatheus Maia Vieira (Cefet\/RJ),
\nGabriel Padr\u00e3o (Cefet\/RJ),
\nDiego Brand\u00e3o (Cefet\/RJ),
\nEduardo Bezerra (Cefet\/RJ),
\nJuliano Spineti (Fluminense Football Club),
\nLucas Giusti (Cefet\/RJ),
\nJorge Soares (Cefet\/RJ<\/td>\n<\/tr>\n

\n15:00<\/td>
\nHow effective is an LLM-based Data Analysis Automation Tool? A Case Study with ChatGPT\u2019s Data Analyst<\/td>		Beatriz Miranda (Universidade Federal de Campina Grande),
\nClaudio Campelo (Universidade Federal de Campina Grande)<\/td>\n<\/tr>\n

\n
\n
\n15;20<\/td>
\n
\n
\nMultidimensional Analysis of the Influence of Socioeconomic and Political Indicators on the Spread of COVID-19: A Case Study of Brazilian Cities (2020-2024)<\/td>		R\u00f4ney Reis (Universidade Federal do Cear\u00e1),
\nMiguel \u00c2ngelo Souza (Universidade Federal do Cear\u00e1),
\nAngelo Brayner (Federal University of Ceara \u2013 UFC),
\nRonaldo Menezes (University of Exeter \u2013 Great Britain)<\/td>\n<\/tr>\n

\n
\n15:40<\/td>
\n
\nCan a simple review outperform a feature set for predicting churn?<\/td>		William Beckhauser (Universidade Federal de Santa Catarina),
\nRenato Fileto (Universidade Federal de Santa Catarina)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

ST9- Sess\u00e3o T\u00e9cnica 9<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t
Quarta (16\/10)<\/th>Information Retrieval & NLP <\/th>Chair: Marcos Andr\u00e9 Gon\u00e7alves (UFMG)<\/th>\n<\/tr>\n<\/thead>\n
14:00<\/td>An Effective, Efficient, and Scalable Confidence-Based Instance Selection Framework for Transformer-Based Text Classification (dissemination)<\/td>Washington Cunha (Federal University of Minas Gerais)
\nCelso Fran\u00e7a (Federal University of Minas Gerais)
\nGuilherme Fonseca (Federal University of S\u00e3o Jo\u00e3o del Rei)
\nLeonardo Rocha (Federal University of S\u00e3o Jo\u00e3o del Rei)
\nMarcos Andr\u00e9 Gon\u00e7alves (Federal University of Minas Gerais)<\/td>\n<\/tr>\n
14:20<\/td>Busca360: A Search Application in the Context of Top-Side Asset Integrity Management in the Oil & Gas Industry<\/td>Yenier Torres Izquierdo (Instituto Tecgraf \/ PUC \u2013 Rio de Janeiro),
\nMelissa Lemos (Tecgraf\/ PUC-Rio Institute),
\nCleber Oliveira (Instituto Tecgraf \u2013 PUC-Rio),
\nBruno Novelli (Instituto TecGraf \u2013 PUC-Rio),
\nGrettel Garcia (TecGraf \u2013 PUC-Rio),
\nGustavo M. C. Coelho (Tecgraf\/PUC-Rio),
\nRobison Luiz Souza Garcia (CENPES \u2013 Petrobras),
\nMarco Antonio Casanova (PUC-Rio)<\/td>\n<\/tr>\n
14:40<\/td>Can we trust LLMs as relevance judges?<\/td>Luciana Bencke (UFRGS),
\nFelipe Paula (UFRGS),
\nBruno Santos (UFRGS),
\nViviane Moreira (UFRGS)<\/td>\n<\/tr>\n
15:00<\/td>SIDEAS \u2013 Detectando a Similaridade Sem\u00e2ntica de Discursos<\/td>Rita Carolina da Costa (Universidade Federal de Santa Catarina),
\nRenato Fileto (Universidade Federal de Santa Catarina),
\nOsmar Braz Junior (Universidade do Estado de Santa Catarina)<\/td>\n<\/tr>\n
15:20<\/td>Um Estudo sobre o uso de Modelos de Linguagem Abertos na Tarefa de Recomenda\u00e7\u00e3o de Pr\u00f3ximo Item<\/td>Marcos Lima (Universidade Federal do Amazonas (UFAM)),
\nEduardo Silva (Universidade do Vale do Itaja\u00ed),
\nAltigran Soares da Silva (Universidade Federal do Amazonas)<\/td>\n<\/tr>\n
15:40<\/td>Composition of Heterogeneous Node Embeddings \u2013 Unlocking the Power of Heterogeneous Graph Representation<\/td>Silvio Angonese (UFRGS),
\nRenata Galante (UFRGS)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

ST10- Sess\u00e3o T\u00e9cnica 10<\/strong><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t
Quinta (17\/10)<\/th>Workflows & Evolving Systems<\/th>Chair: Eduardo Ogasawara (CEFET\/RJ)<\/th>\n<\/tr>\n<\/thead>\n
8:30<\/td>DLProv: A data-centric support for deep learning workflow analyses (dissemination)<\/td>D\u00e9bora Pina (COPPE\/UFRJ)
\nAdriane Chapman (University of Southampton)
\nLiliane Kunstmann (COPPE\/UFRJ)
\nDaniel de Oliveira (Universidade Federal Fluminense)
\nMarta Mattoso (COPPE\/UFRJ)<\/td>\n<\/tr>\n
8:50<\/td>Prediction of the next transaction on Payment Dataset with Deep Learning Models<\/td>Claudia Francesca Suarez Mariscal (UFRGS),
\nRenata Galante (UFRGS),
\nWeverton Cordeiro (UFRGS)<\/td>\n<\/tr>\n
9:10<\/td>Statistical Validation of Column Matching in the Database Schema Evolution of the Brazilian Public School Census<\/td>Muriki Yamanaka (Federal University of paran\u00e1),
\nDiogo Henrique de Almeida (Universidade Federal do Paran\u00e1),
\nPaulo Ricardo de Almeida (Univerdidade Federal do Paran\u00e1),
\nSimone Dominico (Universidade Federal do Paran\u00e1),
\nLeticia Peres (Universidade Federal do Parana),
\nMarcos Sunye (Universidade Federal do Parana),
\nEduardo de Almeida (Universidade Federal do Paran\u00e1)<\/td>\n<\/tr>\n
9:30<\/td>Uma Heur\u00edstica para a Execu\u00e7\u00e3o de Workflows com Restri\u00e7\u00f5es de Confidencialidade em Ambientes Conteinerizados<\/td>Rodrigo da Silva (Universidade Federal Fluminense),
\nWesley Ferreira (Universidade Federal Fluminense),
\nYuri Frota (Federal Universidade Federal Fluminense),
\nDaniel de Oliveira (Universidade Federal Fluminense)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

ST1 – Sess\u00e3o T\u00e9cnica 1 ST2 – Sess\u00e3o T\u00e9cnica 2 ST3- Sess\u00e3o T\u00e9cnica 3 ST4- Sess\u00e3o T\u00e9cnica 4 ST5- Sess\u00e3o T\u00e9cnica 5 ST6- Sess\u00e3o T\u00e9cnica 6 ST7- Sess\u00e3o T\u00e9cnica 7 ST8- Sess\u00e3o T\u00e9cnica 8 ST9- Sess\u00e3o T\u00e9cnica 9 ST10- Sess\u00e3o T\u00e9cnica 10<\/p>","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-644","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/pages\/644","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/comments?post=644"}],"version-history":[{"count":43,"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/pages\/644\/revisions"}],"predecessor-version":[{"id":807,"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/pages\/644\/revisions\/807"}],"wp:attachment":[{"href":"https:\/\/sbbd.org.br\/2024\/en\/wp-json\/wp\/v2\/media?parent=644"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}