Multi-label classification by ART-based neural networks and hierarchy extraction. - Fernando Benites; Florian Brucker; Elena P. Sapozhnikova (IJCNN, 2010)

An Empirical Comparison of Flat and Hierarchical Performance Measures for Multi-Label Classification with Hierarchy Extraction. - Florian Brucker; Fernando Benites; Elena P. Sapozhnikova (KES (1), 2011)

Multi-label classification and extracting predicted class hierarchies. - Florian Brucker; Fernando Benites; Elena P. Sapozhnikova (Pattern Recognit., 2011)

Generalized Association Rules for Connecting Biological Ontologies. - Fernando Benites; Elena P. Sapozhnikova (BIOINFORMATICS, 2013)

Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. - Fernando Benites; Elena P. Sapozhnikova (LWA, 2014)

Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules. - Fernando Benites; Elena P. Sapozhnikova (IEEE Trans. Knowl. Data Eng., 2014)

HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification. - Fernando Benites; Elena P. Sapozhnikova (ICDM Workshops, 2015)

Improving Multi-Label Classification by Means of Cross-Ontology Association Rules. - Fernando Benites; Elena P. Sapozhnikova (LWA, 2015)

Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides. - Fernando Benites; Elena P. Sapozhnikova (Pattern Recognit. Lett., 2015)

Improving scalability of ART neural networks. - Fernando Benites; Elena P. Sapozhnikova (Neurocomputing, 2017)

Multi-label Classification with Multiple Class Ontologies. - Fernando Benites de Azevedo e Souza (2017)

Classifying Patent Applications with Ensemble Methods. - Fernando Benites; Shervin Malmasi; Marcos Zampieri (ALTA, 2018)

Best practices in e-assessments with a special focus on cheating prevention. - Dirk Von Gruenigen; Fernando Benites de Azevedo e Souza; Beatrice Pradarelli; Amani Magid; Mark Cieliebak (EDUCON, 2018)

Twist Bytes - German Dialect Identification with Data Mining Optimization. - Fernando Benites de Azevedo e Souza; Ralf Grubenmann; Pius von Däniken; Dirk Von Gruenigen; Jan Deriu; Mark Cieliebak (VarDial@COLING 2018, 2018)

TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). - Fernando Benites (KONVENS, 2019)

The Reader's Feeling and Text-based Emotions: The Relationship between Subjective Self-reports, Lexical Ratings, and Sentiment. - Egon Werlen; Fernando Benites; Christof Imhof; Per Bergamin (SwissText, 2019)

TRANSLIT: A Large-scale Name Transliteration Resource. - Fernando Benites; Gilbert François Duivesteijn; Pius von Däniken; Mark Cieliebak (LREC, 2020)

CEASR: A Corpus for Evaluating Automatic Speech Recognition. - Malgorzata Anna Ulasik; Manuela Hürlimann; Fabian Germann; Esin Gedik; Fernando Benites; Mark Cieliebak (LREC, 2020)

ZHAW-InIT at GermEval 2020 Task 4: Low-Resource Speech-to-Text. - Matthias Büchi; Malgorzata Anna Ulasik; Manuela Hürlimann; Fernando Benites; Pius von Däniken; Mark Cieliebak (SwissText/KONVENS, 2020)

ZHAW-InIT - Social Media Geolocation at VarDial 2020. - Fernando Benites; Manuela Hürlimann; Pius von Däniken; Mark Cieliebak (VarDial@COLING, 2020)

Work-in-progress: Data Science Challenge-X: self-directed, competence-based, project-based learning. - Fernando Benites; Monika Schlatter; Marcel Messerli; Rocco Custer (EDUCON, 2022)

AI Literacy: Evaluation of an AI Literacy Course for Engineers. - Fernando Benites; Caspar Battegay (EDUCON, 2025)