Fernando Benites

According to our database, Fernando Benites authored at least 21 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Work-in-progress: Data Science Challenge-X: self-directed, competence-based, project-based learning.

Fernando Benites, Monika Schlatter, Marcel Messerli, Rocco Custer

Proceedings of the IEEE Global Engineering Education Conference, 2022

2020

ZHAW-InIT - Social Media Geolocation at VarDial 2020.

Fernando Benites, Manuela Hürlimann, Pius von Däniken, Mark Cieliebak

Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 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

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

CEASR: A Corpus for Evaluating Automatic Speech Recognition.

Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

TRANSLIT: A Large-scale Name Transliteration Resource.

Fernando Benites, Gilbert François Duivesteijn, Pius von Däniken, Mark Cieliebak

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

Proceedings of the 4th Swiss Text Analytics Conference, SwissText 2019, Winterthur, 2019

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

Fernando Benites

Proceedings of the 15th Conference on Natural Language Processing, 2019

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

Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, 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

Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

Classifying Patent Applications with Ensemble Methods.

Fernando Benites, Shervin Malmasi, Marcos Zampieri

Proceedings of the Australasian Language Technology Association Workshop 2018, 2018

2017

Multi-label Classification with Multiple Class Ontologies.

Fernando Benites de Azevedo e Souza

PhD thesis, 2017

Improving scalability of ART neural networks.

Fernando Benites, Elena P. Sapozhnikova

Neurocomputing, 2017

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 Multi-Label Classification by Means of Cross-Ontology Association Rules.

Fernando Benites, Elena P. Sapozhnikova

Proceedings of the LWA 2015 Workshops: KDML, 2015

HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification.

Fernando Benites, Elena P. Sapozhnikova

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules.

Fernando Benites, Elena P. Sapozhnikova

IEEE Trans. Knowl. Data Eng., 2014

Using Semantic Data Mining for Classification Improvement and Knowledge Extraction.

Fernando Benites, Elena P. Sapozhnikova

Proceedings of the 16th LWA Workshops: KDML, 2014

2013

Generalized Association Rules for Connecting Biological Ontologies.

Fernando Benites, Elena P. Sapozhnikova

Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2011

Multi-label classification and extracting predicted class hierarchies.

Florian Brucker, Fernando Benites, Elena P. Sapozhnikova

Pattern Recognit., 2011

An Empirical Comparison of Flat and Hierarchical Performance Measures for Multi-Label Classification with Hierarchy Extraction.

Florian Brucker, Fernando Benites, Elena P. Sapozhnikova

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

2010

Multi-label classification by ART-based neural networks and hierarchy extraction.

Fernando Benites, Florian Brucker, Elena P. Sapozhnikova

Proceedings of the International Joint Conference on Neural Networks, 2010