Fernando Benites

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 11

Top Topics

Interestingness Measures

Highest Precision

Association Rules

Top Venues

Publications

Fernando Benites, Monika Schlatter, Marcel Messerli, Rocco Custer
Work-in-progress: Data Science Challenge-X: self-directed, competence-based, project-based learning. EDUCON (2022)
Fernando Benites, Gilbert François Duivesteijn, Pius von Däniken, Mark Cieliebak
TRANSLIT: A Large-scale Name Transliteration Resource. LREC (2020)
Fernando Benites, Manuela Hürlimann, Pius von Däniken, Mark Cieliebak
ZHAW-InIT - Social Media Geolocation at VarDial 2020. VarDial@COLING (2020)
Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak
CEASR: A Corpus for Evaluating Automatic Speech Recognition. LREC (2020)
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)
Fernando Benites
TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). CoRR (2019)
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)
Fernando Benites
TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). KONVENS (2019)
Fernando Benites, Shervin Malmasi, Marcos Zampieri
Classifying Patent Applications with Ensemble Methods. ALTA (2018)
Fernando Benites, Shervin Malmasi, Marcos Zampieri
Classifying Patent Applications with Ensemble Methods. CoRR (2018)
Fernando Benites, Elena P. Sapozhnikova
Improving scalability of ART neural networks. Neurocomputing 230 (2017)
Fernando Benites, Elena P. Sapozhnikova
Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides. Pattern Recognit. Lett. 65 (2015)
Fernando Benites, Elena P. Sapozhnikova
Improving Multi-Label Classification by Means of Cross-Ontology Association Rules. LWA (2015)
Fernando Benites, Elena P. Sapozhnikova
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification. ICDM Workshops (2015)
Fernando Benites, Elena P. Sapozhnikova
Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. LWA (2014)
Fernando Benites, Elena P. Sapozhnikova
Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules. IEEE Trans. Knowl. Data Eng. 26 (12) (2014)
Fernando Benites, Elena P. Sapozhnikova
Generalized Association Rules for Connecting Biological Ontologies. BIOINFORMATICS (2013)
Florian Brucker, Fernando Benites, Elena P. Sapozhnikova
Multi-label classification and extracting predicted class hierarchies. Pattern Recognit. 44 (3) (2011)
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)
Fernando Benites, Florian Brucker, Elena P. Sapozhnikova
Multi-label classification by ART-based neural networks and hierarchy extraction. IJCNN (2010)