Loza Mencía, Eneldo
Loza Mencía, Eneldo
Knowledge Engineering Group, TU Darmstadt
Bestätigte E-Mail-Adresse bei ke.tu-darmstadt.de - Startseite
TitelZitiert vonJahr
Multilabel classification via calibrated label ranking
J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker
Machine Learning 73 (2), 133-153, 2008
5752008
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
1512014
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
109*2008
Efficient voting prediction for pairwise multilabel classification
EL Mencía, SH Park, J Fürnkranz
Neurocomputing 73 (7-9), 1164-1176, 2010
652010
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Furnkranz
Proceedings of the 2008 IEEE International Joint Conference on Neural …, 2008
62*2008
Pairwise learning of multilabel classifications with perceptrons
E Loza Mencia, J Fürnkranz
Technical Report TUD–KE–2007–05, 2007
62*2007
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
44*2010
A Hybrid Multi-Strategy Recommender System Using Linked Open Data
P Ristoski, E Loza Mencia, H Paulheim
412014
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Advances in neural information processing systems, 5413-5423, 2017
272017
DeepRED–Rule extraction from deep neural networks
JR Zilke, EL Mencía, F Janssen
International Conference on Discovery Science, 457-473, 2016
252016
All-in text: Learning document, label, and word representations jointly
J Nam, EL Mencía, J Fürnkranz
Thirtieth AAAI Conference on Artificial Intelligence, 2016
172016
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
122016
Medical concept embeddings via labeled background corpora
EL Mencía, G De Melo, J Nam
Proceedings of the Tenth International Conference on Language Resources and …, 2016
122016
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
122016
Graded multilabel classification by pairwise comparisons
C Brinker, EL Mencía, J Fürnkranz
2014 IEEE International Conference on Data Mining, 731-736, 2014
122014
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
102015
Segmentation of legal documents
E Loza Mencía
Proceedings of the 12th International Conference on Artificial Intelligence …, 2009
92009
Multi-label LeGo—Enhancing Multi-label Classifiers with Local Patterns
W Duivesteijn, E Loza Mencía, J Fürnkranz, A Knobbe
Advances in Intelligent Data Analysis XI, 114-125, 2012
82012
On the combination of two decompositive multi-label classification methods
G Tsoumakas, LE Mencia, I Katakis, SH Park, J Fürnkranz
Workshop on Preference Learning, ECML PKDD 9, 114-133, 2009
82009
Stacking label features for learning multilabel rules
EL Mencía, F Janssen
International Conference on Discovery Science, 192-203, 2014
72014
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