14 citations · 17 across the 3 of their papers we have counts for
3 papers
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo +2
[Context] Technical debt (TD) in machine learning (ML) systems, much like its counterpart in software engineering (SE), holds the potential to lead to future rework, posing risks t…
Trustworthy AI in practice: an analysis of practitioners' needs and challenges
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski +2
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly an…
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo +1
Context: The number of TV series offered nowadays is very high. Due to its large amount, many series are canceled due to a lack of originality that generates a low audience. Proble…