Loza Mencía, Eneldo
Loza Mencía, Eneldo
Knowledge Engineering Group, TU Darmstadt
Verified email at ke.tu-darmstadt.de - 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
8302008
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
3342014
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
158*2008
Deepred–rule extraction from deep neural networks
JR Zilke, EL Mencía, F Janssen
International Conference on Discovery Science, 457-473, 2016
1352016
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Proceedings of the 31st International Conference on Neural Information …, 2017
1022017
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Furnkranz
Proceedings of the 2008 IEEE International Joint Conference on Neural …, 2008
77*2008
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Fürnkranz
Technical Report TUD–KE–2007–05, 2007
77*2007
Efficient voting prediction for pairwise multilabel classification
EL Mencía, SH Park, J Fürnkranz
Neurocomputing 73 (7-9), 1164-1176, 2010
762010
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
73*2010
An evaluation of efficient multilabel classification algorithms for large-scale problems in the legal domain
E Loza Mencia, J Fürnkranz
LWA 2007 Lernen–Wissen–Adaption, 126, 2007
73*2007
A Hybrid Multi-Strategy Recommender System Using Linked Open Data
P Ristoski, E Loza Mencia, H Paulheim
542014
All-in text: Learning document, label, and word representations jointly
J Nam, EL Mencía, J Fürnkranz
Thirtieth AAAI Conference on Artificial Intelligence, 2016
442016
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
EL Mencía, F Janssen
Machine Learning 105 (1), 77-126, 2016
262016
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
222016
Using semantic similarity for multi-label zero-shot classification of text documents
SP Veeranna, J Nam, EL Mencía, J Furnkranz
Proceeding of European Symposium on Artificial Neural Networks …, 2016
192016
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
162018
Predicting unseen labels using label hierarchies in large-scale multi-label learning
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Joint European conference on machine learning and knowledge discovery in …, 2015
162015
Graded multilabel classification by pairwise comparisons
C Brinker, EL Mencía, J Fürnkranz
2014 IEEE International Conference on Data Mining, 731-736, 2014
162014
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
152016
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
142016
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