A Method for the Specification of Relational Database Applications. - Roberto Souto Maior de Barros; David J. Harper (Z User Workshop, 1991)

Formal Development of Relational Database Applications. - Roberto S. M. Barros; David J. Harper (Specifications of Database Systems, 1992)

Deriving Relational Database Programs from Formal Specifications. - Roberto Souto Maior de Barros (FME, 1994)

On the formal specification and derivation of relational database applications. - Roberto Souto Maior de Barros (1994)

On the Formal Specification and Derivation of Relational Database Applications. - Roberto Souto Maior de Barros (US-Brazil Joint Workshops on the Formal Foundations of Software Systems, 1997)

User Interface Design for Web Collaborative Systems. - Antonio Mendes da Silva Filho; Roberto S. M. de Barros; Hans K. E. Liesenberg (SBES, 2002)

A Proposal for Management of RDF and RDF Schema Metadata in MOF. - Hélio Lopes dos Santos; Roberto Souto Maior de Barros; Décio Fonseca (OTM, 2003)

GMLA: A XML Schema for Integration and Exchange of Multidimensional-Geographical Data. - Robson do Nascimento Fidalgo; Joel da Silva; Valéria Cesário Times; Fernando da Fonseca de Souza; Roberto Souto Maior de Barros (GEOINFO, 2003)

Uma Proposta para Gerenciamento de Metadados nos Padrões XML e DTD em Repositórios MOF. - Hélio Lopes dos Santos; Roberto Souto Maior de Barros; Décio Fonseca (SBBD, 2003)

XOCL - an XML Language for Specifying Logical Constraints in Object Oriented Models. - Franklin Ramalho; Jacques Robin; Roberto Souto Maior de Barros (J. Univers. Comput. Sci., 2003)

Towards a Web Service for Geographic and Multidimensional Processing. - Joel da Silva; Valéria Cesário Times; Robson do Nascimento Fidalgo; Roberto Souto Maior de Barros (GEOINFO, 2004)

Um Framework para Extração de Dados em Documentos Científicos: Uma Abordagem baseada em XML. - Davi Medeiros Cabral; Roberto Souto Maior de Barros (SBSI, 2004)

Providing Geographic-Multidimensional Decision Support over the Web. - Joel da Silva; Valéria Cesário Times; Robson do Nascimento Fidalgo; Roberto Souto Maior de Barros (APWeb, 2005)

Managing Petri Nets in MOF Repositories. - Hélio Lopes dos Santos; Paulo Romero Martins Maciel; Nelson S. Rosa; Roberto Souto Maior de Barros (OTM Conferences (2), 2005)

Interaction pattern gathering in service-oriented applications. - A. M. Silva Filho; Hans K. E. Liesenberg; Roberto S. M. Barros (SOSE, 2005)

A model for extending legacy applications by implementing new requirements as components. - Nicomedes L. Cavalcanti; Roberto Souto Maior de Barros; Mlexener Bezerra Romeiro (IEEE SCC, 2006)

Web engineering meets natural language processing: a vocal interface generation practice. - Hendrik T. Macedo; Jacques Robin; Roberto Souto Maior de Barros (WebMedia, 2006)

A XML-based quality model for web services certification. - Jorge Dias Jr.; José Adson O. G. da Cunha; Alexandre Álvaro; Roberto Souto Maior de Barros; Silvio Romero de Lemos Meira (ICEIS (1), 2007)

Web Services Quality Assurance: A XML-Based Quality Model. - José Jorge Lima Dias Jr.; José Adson O. G. da Cunha; Alexandre Álvaro; Roberto S. M. de Barros; Silvio Romero de Lemos Meira (SBQS, 2007)

DMPML Data Mining Preparation Markup Language. - Paulo M. Goncalves; Adrian L. Arnaud; Roberto Souto Maior de Barros (AICCSA, 2008)

A Model-Driven Method for the Development of Web Applications User Interaction Layer. - Ricardo A. C. de Souza; Roberto Souto Maior de Barros (TASE, 2008)

OntoPsic: Leveraging the Knowledge in the Treatment and Diagnosis of Telepsychiatry. - Fabrício da Costa Dias; Ryan Ribeiro de Azevedo; Cleyton Mário de Oliveira Rodrigues; Eric Rommel Dantas Galvão; Guilherme Ataíde Dias; Roberto Souto Maior de Barros (NSS, 2010)

Automating Data Preprocessing with DMPML and KDDML. - Paulo M. Goncalves; Roberto Souto Maior de Barros (ACIS-ICIS, 2011)

Comparing approaches to prepare data in classification problems. - Paulo M. Goncalves; Roberto Souto Maior de Barros (AICCSA, 2011)

On the Use of Data Mining Tools for Data Preparation in Classification Problems. - Paulo M. Goncalves; Roberto Souto Maior de Barros; Davi C. de L. Vieira (ACIS-ICIS, 2012)

Comparing FBTSeg and NNTree Implementations with Established Ensemble Methods. - Roberto Angelo Fernandes Santos; Roberto Souto Maior de Barros (ICTAI, 2012)

RCD: A recurring concept drift framework. - Paulo Mauricio Gonçalves Jr.; Roberto Souto Maior de Barros (Pattern Recognit. Lett., 2013)

Speeding Up Recovery from Concept Drifts. - Silas Garrido Teixeira de Carvalho Santos; Paulo Mauricio Gonçalves Júnior; Geyson Daniel dos Santos Silva; Roberto Souto Maior de Barros (ECML/PKDD (3), 2014)

A comparative study on concept drift detectors. - Paulo Mauricio Gonçalves Jr.; Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros; Davi Carnauba de Lima Vieira (Expert Syst. Appl., 2014)

A Lightweight Concept Drift Detection Ensemble. - Bruno Iran Ferreira Maciel; Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros (ICTAI, 2015)

Optimizing the Parameters of Drift Detection Methods Using a Genetic Algorithm. - Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros; Paulo Mauricio Gonçalves Júnior (ICTAI, 2015)

Perceptual video quality assessment for adaptive streaming encoding. - Estevao C. Monteiro; Ricardo E. P. Scholz; Carlos A. G. Ferraz; Tsang Ing Ren; Roberto Souto Maior de Barros (VCIP, 2015)

A large-scale study on the usage of Java's concurrent programming constructs. - Gustavo Pinto 001; Weslley Torres; Benito Fernandes; Fernando Castor Filho; Roberto Souto Maior de Barros (J. Syst. Softw., 2015)

A Boosting-like Online Learning Ensemble. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos; Paulo Mauricio Gonçalves Júnior (IJCNN, 2016)

RDDM: Reactive drift detection method. - Roberto Souto Maior de Barros; Danilo Rafael de Lima Cabral; Paulo Mauricio Gonçalves Jr.; Silas Garrido Teixeira de Carvalho Santos (Expert Syst. Appl., 2017)

Wilcoxon Rank Sum Test Drift Detector. - Roberto Souto Maior de Barros; Juan Isidro González Hidalgo; Danilo Rafael de Lima Cabral (Neurocomputing, 2018)

A large-scale comparison of concept drift detectors. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (Inf. Sci., 2018)

Concept drift detection based on Fisher's Exact test. - Danilo Rafael de Lima Cabral; Roberto Souto Maior de Barros (Inf. Sci., 2018)

Cosine Similarity Drift Detector. - Juan Isidro González Hidalgo; Laura Maria Palomino Mariño; Roberto Souto Maior de Barros (ICANN (4), 2019)

Improving Fast Adaptive Stacking of Ensembles. - Laura Maria Palomino Mariño; Juan Isidro González Hidalgo; Roberto S. M. Barros; Germano C. Vasconcelos (IJCNN, 2019)

Experimenting with prequential variations for data stream learning evaluation. - Juan Isidro González Hidalgo; Bruno Iran Ferreira Maciel; Roberto S. M. Barros (Comput. Intell., 2019)

An overview and comprehensive comparison of ensembles for concept drift. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (Inf. Fusion, 2019)

A differential evolution based method for tuning concept drift detectors in data streams. - Silas G. T. C. Santos; Roberto S. M. Barros; Paulo Mauricio Gonçalves Jr. (Inf. Sci., 2019)

EMZD: Equal Means Z-Test Concept Drift Detector. - Danilo Rafael de Lima Cabral; Roberto Souto Maior de Barros (SSCI, 2020)

A Change Detector for Prior Probabilities of Classes. - Paulo M. Goncalves; Roberto S. M. Barros; Sylvain Chartier (SSCI, 2020)

Statistical Tests Ensemble Drift Detector. - José Luis Martínez Pérez; Roberto S. M. Barros; Silas G. T. C. Santos (SSCI, 2020)

Online AdaBoost-based methods for multiclass problems. - Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros (Artif. Intell. Rev., 2020)

MOAManager: A tool to support data stream experiments. - Bruno Iran Ferreira Maciel; Silas G. T. C. Santos; Roberto S. M. Barros (Softw. Pract. Exp., 2020)

Statistical Tests to Identify Virtual Concept Drifts. - Paulo M. Goncalves; Sylvain Chartier; Roberto Souto Maior de Barros (IJCNN, 2021)

An Ultimately Simple Concept Drift Detector for Data Streams. - Bruno Iran Ferreira Maciel; Juan Isidro González Hidalgo; Roberto Souto Maior de Barros (SMC, 2021)

Co-op Training: a Semi-supervised Learning Method for Data Streams. - Paulo Martins Monteiro; Elvys Soares; Roberto Souto Maior de Barros (SMC, 2021)

Improving Diversity in Concept Drift Ensembles. - José Luis Martínez Pérez; Laura Maria Palomino Mariño; Roberto Souto Maior de Barros (SSCI, 2021)

Using spectral entropy and bernoulli map to handle concept drift. - Rohgi Toshio Meneses Chikushi; Roberto Souto Maior de Barros; Marilú Gomes Netto Monte da Silva; Bruno Iran Ferreira Maciel (Expert Syst. Appl., 2021)

Evaluating k-NN in the Classification of Data Streams with Concept Drift. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos; Jean Paul Barddal (CoRR, 2022)

Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift. - Juan Isidro González Hidalgo; Silas G. T. C. Santos; Roberto S. M. Barros (ACM Trans. Knowl. Discov. Data, 2022)

Experimenting with Supervised Drift Detectors in Semi-supervised Learning. - José Luis Martínez Pérez; Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (SSCI, 2023)

Features and Classes Drift Detector to Deal with Imbalanced Data Streams. - Silas Garrido Teixeira de Carvalho Santos; Danilo Rafael de Lima Cabral; Roberto Souto Maior de Barros (SSCI, 2023)

Stock Price Movement Prediction based on Optimized Traditional Machine Learning Models. - Jose Junior De Oliveira Silva; Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (SSCI, 2023)

Paired k-NN learners with dynamically adjusted number of neighbors for classification of drifting data streams. - Juan Isidro González Hidalgo; Silas G. T. C. Santos; Roberto Souto Maior de Barros (Knowl. Inf. Syst., 2023)

Using Information Flow to estimate interference between developers same method contributions. - Roberto Souto Maior de Barros; Paulo Borba (CoRR, 2024)

Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance. - José Luis Martínez Pérez; Roberto S. M. Barros; Silas G. T. C. Santos (IEEE Access, 2025)