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ORCIDFernando Benites
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- affiliation: ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Winterthur, Switzerland
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2020 – today
- 2020
[c15]Fernando Benites, Gilbert François Duivesteijn, Pius von Däniken, Mark Cieliebak:
TRANSLIT: A Large-scale Name Transliteration Resource. LREC 2020: 3265-3271- [c14]Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak:
CEASR: A Corpus for Evaluating Automatic Speech Recognition. LREC 2020: 6477-6485 - [c13]Matthias Büchi, Malgorzata Anna Ulasik, Manuela Hürlimann, Fernando Benites, Pius von Däniken, Mark Cieliebak:
ZHAW-InIT at GermEval 2020 Task 4: Low-Resource Speech-to-Text. SwissText/KONVENS 2020 - [c12]Fernando Benites, Manuela Hürlimann, Pius von Däniken, Mark Cieliebak:
ZHAW-InIT - Social Media Geolocation at VarDial 2020. VarDial@COLING 2020: 254-264
2010 – 2019
- 2019
- [c11]Fernando Benites:
TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). KONVENS 2019 - [c10]Egon Werlen, Fernando Benites, Christof Imhof, Per Bergamin:
The Reader's Feeling and Text-based Emotions: The Relationship between Subjective Self-reports, Lexical Ratings, and Sentiment. SwissText 2019 - [e2]Mark Cieliebak, Don Tuggener, Fernando Benites:
Proceedings of the 4th Swiss Text Analytics Conference, SwissText 2019, Winterthur, Switzerland, June 18-19, 2019. CEUR Workshop Proceedings 2458, CEUR-WS.org 2019 [contents] - [i2]Fernando Benites:
TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). CoRR abs/1908.06493 (2019) - 2018
- [c9]Fernando Benites, Shervin Malmasi, Marcos Zampieri:
Classifying Patent Applications with Ensemble Methods. ALTA 2018: 89-92 - [c8]Dirk Von Gruenigen, Fernando Benites de Azevedo e Souza, Beatrice Pradarelli, Amani Magid
, Mark Cieliebak:
Best practices in e-assessments with a special focus on cheating prevention. EDUCON 2018: 893-899 - [c7]Fernando Benites de Azevedo e Souza, Ralf Grubenmann, Pius von Däniken, Dirk Von Gruenigen, Jan Deriu, Mark Cieliebak:
Twist Bytes - German Dialect Identification with Data Mining Optimization. VarDial@COLING 2018 2018: 218-227 - [e1]Mark Cieliebak, Don Tuggener, Fernando Benites:
Proceedings of the 3rd Swiss Text Analytics Conference, SwissText 2018, Winterthur, Switzerland, June 12-13, 2018. CEUR Workshop Proceedings 2226, CEUR-WS.org 2018 [contents] - [i1]Fernando Benites, Shervin Malmasi, Marcos Zampieri:
Classifying Patent Applications with Ensemble Methods. CoRR abs/1811.04695 (2018) - 2017
- [b1]Fernando Benites de Azevedo e Souza:
Multi-label Classification with Multiple Class Ontologies. University of Konstanz, Germany, 2017 - [j4]Fernando Benites, Elena P. Sapozhnikova:
Improving scalability of ART neural networks. Neurocomputing 230: 219-229 (2017) - 2015
- [j3]Fernando Benites, Elena P. Sapozhnikova:
Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides. Pattern Recognit. Lett. 65: 197-203 (2015) - [c6]Fernando Benites, Elena P. Sapozhnikova:
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification. ICDM Workshops 2015: 847-854 - [c5]Fernando Benites, Elena P. Sapozhnikova:
Improving Multi-Label Classification by Means of Cross-Ontology Association Rules. LWA 2015: 80-91 - 2014
- [j2]Fernando Benites, Elena P. Sapozhnikova:
Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules. IEEE Trans. Knowl. Data Eng. 26(12): 3012-3025 (2014) - [c4]Fernando Benites, Elena P. Sapozhnikova:
Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. LWA 2014: 150-155 - 2013
- [c3]Fernando Benites, Elena P. Sapozhnikova:
Generalized Association Rules for Connecting Biological Ontologies. BIOINFORMATICS 2013: 229-236 - 2011
- [j1]Florian Brucker, Fernando Benites, Elena P. Sapozhnikova:
Multi-label classification and extracting predicted class hierarchies. Pattern Recognit. 44(3): 724-738 (2011) - [c2]Florian Brucker, Fernando Benites, Elena P. Sapozhnikova:
An Empirical Comparison of Flat and Hierarchical Performance Measures for Multi-Label Classification with Hierarchy Extraction. KES (1) 2011: 579-589 - 2010
- [c1]Fernando Benites, Florian Brucker, Elena P. Sapozhnikova:
Multi-label classification by ART-based neural networks and hierarchy extraction. IJCNN 2010: 1-9
Coauthor Index
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