Roberto Souto Maior de Barros

23 papers and 655 indexed citations i.

Roberto Souto Maior de Barros is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Roberto Souto Maior de Barros has authored 23 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Management Science and Operations Research. Recurrent topics in Roberto Souto Maior de Barros’s work include Adaptation to Concept Drift in Data Streams (19 papers), Machine Learning and Data Classification (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Roberto Souto Maior de Barros is often cited by papers focused on Adaptation to Concept Drift in Data Streams (19 papers), Machine Learning and Data Classification (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Roberto Souto Maior de Barros collaborates with scholars based in Brazil and Canada. Roberto Souto Maior de Barros's co-authors include Silas Garrido Teixeira de Carvalho Santos, Paulo Gonçalves, Gustavo Pinto, Fernando Castor and Jacques Robin and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.