Loza Mencía, Eneldo
Loza Mencía, Eneldo
Knowledge Engineering Group, TU Darmstadt
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Cited by
Cited by
Multilabel classification via calibrated label ranking
J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker
Machine Learning 73 (2), 133-153, 2008
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
Deepred–rule extraction from deep neural networks
JR Zilke, E Loza Mencía, F Janssen
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
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
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
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
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Furnkranz
Proceedings of the 2008 IEEE International Joint Conference on Neural …, 2008
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Fürnkranz
Technical Report TUD–KE–2007–05, 2007
Efficient voting prediction for pairwise multilabel classification
EL Mencía, SH Park, J Fürnkranz
Neurocomputing 73 (7-9), 1164-1176, 2010
All-in text: Learning document, label, and word representations jointly
J Nam, EL Mencía, J Fürnkranz
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
A Hybrid Multi-Strategy Recommender System Using Linked Open Data
P Ristoski, E Loza Mencia, H Paulheim
Using semantic similarity for multi-label zero-shot classification of text documents
SP Veeranna, J Nam, EL Mencıa, J Fürnkranz
Proceeding of european symposium on artificial neural networks …, 2016
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
E Loza Mencía, F Janssen
Machine Learning 105, 77-126, 2016
Learning gradient boosted multi-label classification rules
M Rapp, EL Mencía, J Fürnkranz, VL Nguyen, E Hüllermeier
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
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
Graded multilabel classification by pairwise comparisons
C Brinker, EL Mencía, J Fürnkranz
2014 IEEE International Conference on Data Mining, 731-736, 2014
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
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
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
Segmentation of legal documents
E Loza Mencía
Proceedings of the 12th International Conference on Artificial Intelligence …, 2009
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