Tatiana Escovedo

42 papers B 8C 1Misc 1Journal 15Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil: An Extended Analysis.
J. Softw. Eng. Res. Dev.
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
2025 B conf
Investigating Issues That Lead to Code Technical Debt in Machine Learning Systems.
CAIN
Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo, Rodrigo O. Spínola, Marcos Kalinowski
2025 J jnl
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems.
CoRR
Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo, Rodrigo O. Spínola, Marcos Kalinowski
2025 J jnl
Naming the Pain in machine learning-enabled systems engineering.
Inf. Softw. Technol.
Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek
2024 — conf
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil.
SBES
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes
2024 J jnl
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil.
CoRR
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes
2024 — conf
Investigating Predicting Voluntary Resignation Program Participation with Machine Learning.
SBSI
Ezequiel Mule Jorge, Lúcio Tales Barbieri, Tatiana Escovedo, Marcos Kalinowski
2024 B conf
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding.
CAIN
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
2024 J jnl
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding.
CoRR
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
2024 — conf
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.
SWQD
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
2024 J jnl
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.
CoRR
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
2024 — conf
Machine Learning Applied in the Construction of a Disability Retirement Entry Table of the General Social Security Regime (RGPS) of Brazil.
SBSI
Gustavo Morais, Tatiana Escovedo, Marcos Kalinowski
2024 J jnl
Naming the Pain in Machine Learning-Enabled Systems Engineering.
CoRR
Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek
2023 — conf
Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series.
SBSI
Luciana Silva, Marcelo Cardoso Marques, Marcos Vinicius de Carvalho Gomes, Tatiana Escovedo, Marcos Kalinowski
2023 — conf
Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources.
SBSI
Ramon Vaqueiro, Ana Vargas, Tatiana Escovedo, Marcos Kalinowski
2023 — conf
Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality.
SBSI
André Amaral, André L. R. de Araújo, Bruno Tomazela, Tatiana Escovedo, Marcos Kalinowski
2023 — conf
Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach.
SBSI
Marcelo Abbehusen, Rodolfo Rodrigues, Lucas Oliveira, Tatiana Escovedo, Marcos Kalinowski
2023 — conf
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.
PROFES (1)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
2023 J jnl
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.
CoRR
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
2023 — conf
Training the Professionals that Industry Needs: The Digital Software Engineering Education Program at PUC-Rio.
SBES
Marcos Kalinowski, Tatiana Escovedo, Fernanda Pina, Adriana Vidal, Ariane Pereira Da Silva, Ricardo Ponsirenas, Daiana Garibaldi Da Rocha
2022 J jnl
Construção de Tábuas de Mortalidade com o uso de Redes Neurais LSTM Bidirectional para Predição das Probabilidades de Morte.
Braz. J. Inf. Syst.
José Douglas Nascimento, Tatiana Escovedo, Marcos Kalinowski
2022 J jnl
Machine Learning Aplicado ao Resultado de Pedido de Concessão de Benefícios do INSS - Análise Ampliada.
Braz. J. Inf. Syst.
Ney Barchilon, Tatiana Escovedo, Marcos Kalinowski
2022 — conf
Machine Learning Aplicado à Predição da Obrigação do Investimento em P, D&I.
SBBD
Flávia Bravo, Luciana Sousa, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
2022 — conf
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil.
SBBD
Marcos Alexandre Castro, Nelson Souza Jr, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
2022 — conf
Padronização da Descrição de Produtos Comerciais utilizando NER.
SBBD
Laércio Lucchesi, Tatiana Escovedo, Marcos Kalinowski
2022 — conf
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow.
SBSI
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
2022 J jnl
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow.
CoRR
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
2021 — conf
Clusters of Brazilian municipalities and the relationship with their fiscal management.
SBSI
Marcio Afonso, Tatiana Escovedo
2021 — conf
Construction of Mortality Tables using LSTM Neural Networks.
SBSI
José Douglas Nascimento, Tatiana Escovedo
2021 — conf
Machine Learning Applied to the INSS Benefit Request.
SBSI
Ney Barchilon, Tatiana Escovedo
2021 B conf
Requirements Engineering for Machine Learning: A Systematic Mapping Study.
SEAA
Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski
2020 J jnl
Neuroevolutionary learning in nonstationary environments.
Appl. Intell.
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
2018 J jnl
DetectA: abrupt concept drift detection in non-stationary environments.
Appl. Soft Comput.
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
2015 B conf
A2D2: A pre-event abrupt drift detection.
IJCNN
Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz
2014 B conf
GPFIS-Control: A fuzzy Genetic model for Control tasks.
FUZZ-IEEE
Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
2014 B conf
NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning.
IJCNN
Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco
2013 B conf
GPF-CLASS: A Genetic Fuzzy model for classification.
IEEE Congress on Evolutionary Computation
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit
2013 J jnl
Learning under Concept Drift using a Neuro-Evolutionary Ensemble.
Int. J. Comput. Intell. Appl.
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
2013 Misc conf
NEVE: A Neuro-Evolutionary Ensemble for Adaptive Learning.
AIAI
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano Soares Koshiyama
2013 B conf
Using ensembles for adaptive learning: A comparative approach.
IJCNN
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
2012 J jnl
Combining Forecasts: A Genetic Programming Approach.
Int. J. Nat. Comput. Res.
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
2009 C conf
Using Business Processes in System Requirements Definition.
SEW
Elaine Alves de Carvalho, Tatiana Escovedo, Rubens N. Melo