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Loza Mencía, Eneldo
Loza Mencía, Eneldo
Knowledge Engineering Group, TU Darmstadt
Verified email at eneldo.net - Homepage
Title
Cited by
Cited by
Year
Multilabel classification via calibrated label ranking
J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker
Machine Learning 73 (2), 133-153, 2008
9522008
Large-scale Multi-label Text Classification—Revisiting Neural Networks
J Nam, J Kim, E Loza Mencía, I Gurevych, J Fürnkranz
Machine Learning and Knowledge Discovery in Databases, 437-452, 2014
3942014
Deepred–rule extraction from deep neural networks
JR Zilke, E Loza Mencía, F Janssen
International conference on discovery science, 457-473, 2016
2082016
Efficient pairwise multilabel classification for large-scale problems in the legal domain
E Loza Mencia, J Fürnkranz
Proceedings of the European Conference on Machine Learning and Principles …, 2008
173*2008
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, E Loza Mencía, HJ Kim, J Fürnkranz
Advances in neural information processing systems 30, 2017
1432017
Efficient multilabel classification algorithms for large-scale problems in the legal domain
E Loza Mencia, J Fürnkranz
Semantic Processing of Legal Texts -- Where the Language of Law Meets the …, 2010
872010
Efficient voting prediction for pairwise multilabel classification
EL Mencía, SH Park, J Fürnkranz
Neurocomputing 73 (7-9), 1164-1176, 2010
842010
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Furnkranz
Proceedings of the 2008 IEEE International Joint Conference on Neural …, 2008
84*2008
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Fürnkranz
Technical Report TUD–KE–2007–05, 2007
84*2007
A Hybrid Multi-Strategy Recommender System Using Linked Open Data
P Ristoski, E Loza Mencia, H Paulheim
592014
All-in text: Learning document, label, and word representations jointly
J Nam, EL Mencía, J Fürnkranz
Thirtieth AAAI Conference on Artificial Intelligence, 2016
522016
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
E Loza Mencía, F Janssen
Machine Learning 105 (1), 77-126, 2016
402016
Using semantic similarity for multi-label zero-shot classification of text documents.
PV Sappadla, J Nam, EL Mencía, J Fürnkranz
ESANN, 2016
312016
Medical concept embeddings via labeled background corpora
EL Mencia, G De Melo, J Nam
Proceedings of the Tenth International Conference on Language Resources and …, 2016
232016
A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets
A Schulz, EL Mencía, B Schmidt
Information Systems 57, 88-110, 2016
202016
Graded multilabel classification by pairwise comparisons
C Brinker, EL Mencía, J Fürnkranz
2014 IEEE International Conference on Data Mining, 731-736, 2014
202014
Which scores to predict in sentence regression for text summarization?
M Zopf, EL Mencía, J Fürnkranz
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
182018
Learning gradient boosted multi-label classification rules
M Rapp, EL Mencía, J Fürnkranz, VL Nguyen, E Hüllermeier
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
162020
Learning context-dependent label permutations for multi-label classification
J Nam, YB Kim, EL Mencia, S Park, R Sarikaya, J Fürnkranz
International Conference on Machine Learning, 4733-4742, 2019
162019
Beyond centrality and structural features: Learning information importance for text summarization
M Zopf, EL Mencía, J Fürnkranz
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
162016
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