Tatiana Escovedo

According to our database, Tatiana Escovedo authored at least 35 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Naming the Pain in Machine Learning-Enabled Systems Engineering.

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

CoRR, 2024

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.

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

Proceedings of the Software Quality as a Foundation for Security, 2024

Machine Learning Applied in the Construction of a Disability Retirement Entry Table of the General Social Security Regime (RGPS) of Brazil.

Gustavo Morais, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Investigating Predicting Voluntary Resignation Program Participation with Machine Learning.

Ezequiel Mule Jorge, Lúcio Tales Barbieri, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil.

Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes

Proceedings of the 38th Brazilian Symposium on Software Engineering, 2024

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding.

Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.

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

Dataset, November, 2023

Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources.

Ramon Vaqueiro, Ana Vargas, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series.

Luciana Silva, Marcelo Cardoso Marques, Marcos Vinicius de Carvalho Gomes, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality.

André Amaral, André L. R. de Araújo, Bruno Tomazela, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach.

Marcelo Abbehusen, Rodolfo Rodrigues, Lucas Oliveira, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

Training the Professionals that Industry Needs: The Digital Software Engineering Education Program at PUC-Rio.

Marcos Kalinowski, Tatiana Escovedo, Fernanda Pina, Adriana Vidal, Ariane Pereira Da Silva, Ricardo Ponsirenas, Daiana Garibaldi Da Rocha

Proceedings of the XXXVII Brazilian Symposium on Software Engineering, 2023

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.

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

Proceedings of the Product-Focused Software Process Improvement, 2023

2022

Construção de Tábuas de Mortalidade com o uso de Redes Neurais LSTM Bidirectional para Predição das Probabilidades de Morte.

José Douglas Nascimento, Tatiana Escovedo, Marcos Kalinowski

Braz. J. Inf. Syst., 2022

Machine Learning Aplicado ao Resultado de Pedido de Concessão de Benefícios do INSS - Análise Ampliada.

Ney Barchilon, Tatiana Escovedo, Marcos Kalinowski

Braz. J. Inf. Syst., 2022

Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow.

Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

Padronização da Descrição de Produtos Comerciais utilizando NER.

Laércio Lucchesi, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil.

Marcos Alexandre Castro, Nelson Souza Jr, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Machine Learning Aplicado à Predição da Obrigação do Investimento em P, D&I.

Flávia Bravo, Luciana Sousa, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski

Proceedings of the 37th Brazilian Symposium on Databases, 2022

2021

Materials: Requirements Engineering for Machine Learning: A Systematic Mapping Study.

Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski

Dataset, April, 2021

Construction of Mortality Tables using LSTM Neural Networks.

José Douglas Nascimento, Tatiana Escovedo

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Machine Learning Applied to the INSS Benefit Request.

Ney Barchilon, Tatiana Escovedo

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Clusters of Brazilian municipalities and the relationship with their fiscal management.

Marcio Afonso, Tatiana Escovedo

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Requirements Engineering for Machine Learning: A Systematic Mapping Study.

Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

Neuroevolutionary learning in nonstationary environments.

Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco

Appl. Intell., 2020

2018

DetectA: abrupt concept drift detection in non-stationary environments.

Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco

Appl. Soft Comput., 2018

2015

A2D2: A pre-event abrupt drift detection.

Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning.

Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

GPFIS-Control: A fuzzy Genetic model for Control tasks.

Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Learning under Concept Drift using a Neuro-Evolutionary Ensemble.

Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama

Int. J. Comput. Intell. Appl., 2013

Using ensembles for adaptive learning: A comparative approach.

Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

NEVE: A Neuro-Evolutionary Ensemble for Adaptive Learning.

Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano Soares Koshiyama

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

GPF-CLASS: A Genetic Fuzzy model for classification.

Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Combining Forecasts: A Genetic Programming Approach.

Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco

Int. J. Nat. Comput. Res., 2012

2009

Using Business Processes in System Requirements Definition.

Elaine Alves de Carvalho, Tatiana Escovedo, Rubens N. Melo

Proceedings of the 33rd Annual IEEE Software Engineering Workshop, 2009