Tatiana Escovedo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Open Government Data

Requirements Engineering

Top Venues

Braz. J. Inf. Syst.

Publications

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
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. CoRR (2024)
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil. CoRR (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CAIN (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CoRR (2024)
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
Naming the Pain in Machine Learning-Enabled Systems Engineering. CoRR (2024)
Ezequiel Mule Jorge, Lúcio Tales Barbieri, Tatiana Escovedo, Marcos Kalinowski
Investigating Predicting Voluntary Resignation Program Participation with Machine Learning. SBSI (2024)
Gustavo Morais, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied in the Construction of a Disability Retirement Entry Table of the General Social Security Regime (RGPS) of Brazil. SBSI (2024)
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
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. SWQD (2024)
Ramon Vaqueiro, Ana Vargas, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources. SBSI (2023)
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
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. PROFES (1) (2023)
Luciana Silva, Marcelo Cardoso Marques, Marcos Vinicius de Carvalho Gomes, Tatiana Escovedo, Marcos Kalinowski
Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series. SBSI (2023)
Marcelo Abbehusen, Rodolfo Rodrigues, Lucas Oliveira, Tatiana Escovedo, Marcos Kalinowski
Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach. SBSI (2023)
Marcos Kalinowski, Tatiana Escovedo, Fernanda Pina, Adriana Vidal, Ariane Pereira Da Silva, Ricardo Ponsirenas, Daiana Garibaldi Da Rocha
Training the Professionals that Industry Needs: The Digital Software Engineering Education Program at PUC-Rio. SBES (2023)
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
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. CoRR (2023)
André Amaral, André Araújo, Bruno Tomazela, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality. SBSI (2023)
Flávia Bravo, Luciana Sousa, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Machine Learning Aplicado à Predição da Obrigação do Investimento em P, D&I. SBBD (2022)
Marcos Alexandre Castro, Nelson Souza Jr, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil. SBBD (2022)
Ney Barchilon, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Aplicado ao Resultado de Pedido de Concessão de Benefícios do INSS - Análise Ampliada. Braz. J. Inf. Syst. 15 (1) (2022)
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. CoRR (2022)
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. SBSI (2022)
José Douglas Nascimento, Tatiana Escovedo, Marcos Kalinowski
Construção de Tábuas de Mortalidade com o uso de Redes Neurais LSTM Bidirectional para Predição das Probabilidades de Morte. Braz. J. Inf. Syst. 15 (1) (2022)
Laércio Lucchesi, Tatiana Escovedo, Marcos Kalinowski
Padronização da Descrição de Produtos Comerciais utilizando NER. SBBD (2022)
José Douglas Nascimento, Tatiana Escovedo
Construction of Mortality Tables using LSTM Neural Networks. SBSI (2021)
Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski
Requirements Engineering for Machine Learning: A Systematic Mapping Study. SEAA (2021)
Marcio Afonso, Tatiana Escovedo
Clusters of Brazilian municipalities and the relationship with their fiscal management. SBSI (2021)
Ney Barchilon, Tatiana Escovedo
Machine Learning Applied to the INSS Benefit Request. SBSI (2021)
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
Neuroevolutionary learning in nonstationary environments. Appl. Intell. 50 (5) (2020)
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
DetectA: abrupt concept drift detection in non-stationary environments. Appl. Soft Comput. 62 (2018)
Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz
A2D2: A pre-event abrupt drift detection. IJCNN (2015)
Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE (2014)
Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco
NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning. IJCNN (2014)
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano Soares Koshiyama
NEVE: A Neuro-Evolutionary Ensemble for Adaptive Learning. AIAI (2013)
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
Using ensembles for adaptive learning: A comparative approach. IJCNN (2013)
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit
GPF-CLASS: A Genetic Fuzzy model for classification. IEEE Congress on Evolutionary Computation (2013)
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
Learning under Concept Drift using a Neuro-Evolutionary Ensemble. Int. J. Comput. Intell. Appl. 12 (4) (2013)
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
Combining Forecasts: A Genetic Programming Approach. Int. J. Nat. Comput. Res. 3 (3) (2012)
Elaine Alves de Carvalho, Tatiana Escovedo, Rubens N. Melo
Using Business Processes in System Requirements Definition. SEW (2009)