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Number of items: 48.

Zopf, Markus and Botschen, Teresa and Falke, Tobias and Heinzerling, Benjamin and Marasovic, Ana and Mihaylov, Todor and P. V. S., Avinesh and Loza Mencía, Eneldo and Fürnkranz, Johannes and Frank, Anette :
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
[Online-Edition: https://ieeexplore.ieee.org/document/8554853]
In: Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)
[Conference or Workshop Item] , (2018)

Zopf, Markus and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Which Scores to Predict in Sentence Regression for Text Summarization?
[Online-Edition: http://aclweb.org/anthology/N18-1161]
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
[Conference or Workshop Item] , (2018)

Nam, Jinseok and Loza Mencía, Eneldo and Kim, Hyunwoo and Fürnkranz, Johannes :
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.
Advances in Neural Information Processing Systems 31
[Conference or Workshop Item] , (2017)

González, Camila and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction.
Proceedings of the 20th International Conference on Discovery Science
[Conference or Workshop Item] , (2017)

Zopf, Markus and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.
[Online-Edition: http://www.aclweb.org/anthology/C16-1102]
Proceedings of the 26th International Conference on Computational Linguistics
[Conference or Workshop Item] , (2016)

Zopf, Markus and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
[Online-Edition: http://www.aclweb.org/anthology/K16-1009]
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016) Association for Computational Linguistics
[Conference or Workshop Item] , (2016)

Nam, Jinseok and Loza Mencía, Eneldo and Fürnkranz, Johannes :
All-in Text: Learning Document, Label, and Word Representations Jointly.
[Online-Edition: https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12...]
In: Thirtieth AAAI Conference on Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence
[Conference or Workshop Item] , (2016)

Zilke, Jan Ruben and Loza Mencía, Eneldo and Janssen, Frederik :
DeepRED - Rule Extraction from Deep Neural Networks.
Discovery Science 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings
[Conference or Workshop Item] , (2016)

Loza Mencía, Eneldo and Janssen, Frederik :
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach.
In: Machine Learning, 105 (1) p. 77.
[Article] , (2016)

Loza Mencía, Eneldo and de Melo, Gerard and Nam, Jinseok :
Medical Concept Embeddings via Labeled Background Corpora.
Proceedings of the Tenth International Conference on Language Resources and Evaluation
[Conference or Workshop Item] , (2016)

Schulz, Axel and Loza Mencía, Eneldo and Schmidt, Benedikt :
A Rapid-Prototyping Framework for Extracting Small-Scale Incident-Related Information in Microblogs: Application of Multi-Label Classification on Tweets.
Information Systems
[Conference or Workshop Item] , (2016)

Kahn, Mohammed Arif and Ekbal, Asif and Loza Mencía, Eneldo :
Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis.
Proceedings of the 12th International Conference on Natural Language Processing
[Conference or Workshop Item] , (2016)

Sappadla, Prateek Veeranna and Nam, Jinseok and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents.
Proceedings of the Tenth International Conference on Language Resources and Evaluation
[Conference or Workshop Item] , (2016)

Schulz, Axel and Loza Mencía, Eneldo and Schmidt, Benedikt :
A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets.
In: Inf. Syst., 57 p. 88.
[Article] , (2016)

Nam, Jinseok and Loza Mencía, Eneldo and Kim, Hyunwoo J. and Fürnkranz, Johannes :
Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ECML2015Na...]
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer International Publishing
[Conference or Workshop Item] , (2015)

Brinker, Christian and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Graded Multilabel Classification by Pairwise Comparisons.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ICDM14grad...]
In: 2014 IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China. Curran Associates, IEEE , Shenzhen, China
[Conference or Workshop Item] , (2014)

Schulz, Axel and Loza Mencía, Eneldo and Dang, Thanh Tung and Schmidt, Benedikt :
Evaluating Multi-label Classification of Incident-related Tweets.
[Online-Edition: http://ceur-ws.org/Vol-1141/paper_01.pdf]
In: Proceedings, 4th Workshop on Making Sense of Microposts (#Microposts2014) at WWW: Big things come in small packages.
[Conference or Workshop Item] , (2014)

Brinker, Christian and Loza Mencía, Eneldo and Fürnkranz, Johannes :
Graded Multilabel Classification by Pairwise Comparisons.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...]
2014 IEEE International Conference on Data Mining (ICDM 2014)
[Report] , (2014)

Ristoski, Petar and Loza Mencía, Eneldo and Paulheim, Heiko :
A Hybrid Multi-Strategy Recommender System Using Linked Open Data.
[Online-Edition: http://2014.eswc-conferences.org/sites/default/files/eswc201...]
In: Semantic Web Evaluation Challenge, Proceedings (ESWC 2014). Communications in Computer and Information Science, 475. Springer , pp. 150-156. ISBN 978-3-319-12023-2
[Book Section] , (2014)

Nam, Jinseok and Kim, Jungi and Loza Mencía, Eneldo and Gurevych, Iryna and Fürnkranz, Johannes
Calders, Toon and Esposito, Floriana and Hüllermeier, Eyke and Meo, Rosa (eds.) :

Large-Scale Multi-label Text Classification - Revisiting Neural Networks.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/NN_MLC_ecm...]
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2. In: Lecture Notes in Computer Science , 8725 . Springer Berlin Heidelberg
[Conference or Workshop Item] , (2014)

Loza Mencía, Eneldo and Janssen, Frederik
Džeroski, Sašo and Panov, Panče and Kocev, Dragi and Todorovski, Ljupčo (eds.) :

Stacking Label Features for Learning Multilabel Rules.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ds14stacki...]
In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings. Lecture Notes in Computer Science, 8777. Springer , pp. 192-203. ISBN 978-3-319-11811-6
[Book Section] , (2014)

Loza Mencía, Eneldo :
Efficient Pairwise Multilabel Classification.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3226]
TU Darmstadt , Darmstadt
[Ph.D. Thesis], (2012)

Loza Mencía, Eneldo and Nam, Jinseok and Lee, Dong-Hyun
Glotin, H. and LeCun, Y. and Mallat, Stéphane and Tchernichovski, Ofer and Artières, Thierry and Halkias, Xanadu (eds.) :

Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/lozanam201...]
In: Proceedings of Neural Information Scaled for Bioacoustics, from Neurons to Big Data.
[Conference or Workshop Item] , (2013)

Loza Mencía, Eneldo and Janssen, Frederik
Henrich, Andreas and Sperker, Hans-Christian (eds.) :

Towards Multilabel Rule Learning.
[Online-Edition: http://www.minf.uni-bamberg.de/lwa2013/proceedings/proceedin...]
In: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, Bamberg, Germany. Bamberg, Germany
[Conference or Workshop Item] , (2013)

Loza Mencía, Eneldo and Holthausen, Simon and Schulz, Axel and Janssen, Frederik :
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information.
[Online-Edition: http://ceur-ws.org/Vol-1082/paper4.pdf]
In: Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013.
[Conference or Workshop Item] , (2013)

Duivesteijn, Wouter and Loza Mencía, Eneldo and Fürnkranz, Johannes and Knobbe, Arno J.
Hollmén, Jaakko and Klawonn, Frank and Tucker, Allan (eds.) :

Multi-label LeGo — Enhancing Multi-label Classifiers with Local Patterns.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/IDA-12.pdf]
In: Advances in Intelligent Data Analysis XI — Proceedings of the 11th International Symposium on Data Analysis (IDA-11). In: Lecture Notes in Computer Science , 7619 . Springer
[Conference or Workshop Item] , (2012)

Loza Mencía, Eneldo :
Efficient Pairwise Multilabel Classification.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3226/7/loza12diss.pdf]
Technische Universität Darmstadt, Knowledge Engineering Group
[Ph.D. Thesis]

Duivesteijn, Wouter and Loza Mencía, Eneldo and Fürnkranz, Johannes and Knobbe, Arno J. :
Multi-label LeGo — Enhancing Multi-label Classifiers with Local Patterns.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...]

[Report] , (2012)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Francesconi, Enrico and Montemagni, Simonetta and Peters, Wim and Tiscornia, Daniela (eds.) :

Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/loza10eurl...]
In: Semantic Processing of Legal Texts -- Where the Language of Law Meets the Law of Language. Springer-Verlag , pp. 192-215. ISBN 978-3-642-12836-3
[Book Section] , (2010)

Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes :
Efficient Voting Prediction for Pairwise Multilabel Classification.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/neucom10.p...]
In: Neurocomputing, 73 (7-9) 1164 - 1176. ISSN 0925-2312
[Article] , (2010)

Loza Mencía, Eneldo
Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd (eds.) :

An Evaluation of Multilabel Classification for the Automatic Annotation of Texts.
[Online-Edition: http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml11.pdf]
Proceedings of the LWA 2010: Lernen, Wissen & Adaptivität, Workshop on Knowledge Discovery and Machine Learning (KDML 2010)
[Conference or Workshop Item] , (2010)

Loza Mencía, Eneldo
Zhang, Min-Ling and Tsoumakas, Grigorios and Zhou, Zhi-Hua (eds.) :

Multilabel Classification in Parallel Tasks.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/loza10mlpt...]
Working Notes of the 2nd International Workshop on Learning from Multi-Label Data at ICML/COLT 2010
[Conference or Workshop Item] , (2010)

Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes :
Efficient Voting Prediction for Pairwise Multilabel Classification.
[Online-Edition: http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2009-...]
Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN-09) d-side publications
[Conference or Workshop Item] , (2009)

Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes
Benz, Dominik and Janssen, Frederik (eds.) :

Efficient Voting Prediction for Pairwise Multilabel Classification.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/KDML09.pdf]
Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09)
[Conference or Workshop Item] , (2009)

Tsoumakas, Grigorios and Loza Mencía, Eneldo and Katakis, Ioannis and Park, Sang-Hyeun and Fürnkranz, Johannes
Hüllermeier, Eyke and Fürnkranz, Johannes (eds.) :

On the Combination of Two Decompositive Multi-Label Classification Methods.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/events/PL-09/09-Tso...]
Proceedings of the ECML/PKDD-09 Workshop on Preference Learning (PL-09)
[Conference or Workshop Item] , (2009)

Loza Mencía, Eneldo :
Segmentation of legal documents.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/papers...]
Proceedings of the 12th International Conference on Artificial Intelligence and Law ACM
[Conference or Workshop Item] , (2009)

Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes :
Advances in Efficient Pairwise Multilabel Classification.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...]

[Report] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Daelemans, Walter and Goethals, Bart and Morik, Katharina (eds.) :

Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II Springer-Verlag
[Conference or Workshop Item] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Daelemans, Walter and Goethals, Bart and Morik, Katharina (eds.) :

Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ECML08.pdf]
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II Springer
[Conference or Workshop Item] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Montemagni, Simonetta and Tiscornia, Daniela and Francesconi, Enrico and Peters, Wim (eds.) :

An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
Proceedings of the LREC 2008 Workshop on Semantic Processing of Legal Texts
[Conference or Workshop Item] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Montemagni, Simonetta and Tiscornia, Daniela and Francesconi, Enrico and Peters, Wim (eds.) :

An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/papers...]
Proceedings of the LREC 2008 Workshop on Semantic Processing of Legal Texts
[Conference or Workshop Item] , (2008)

Fürnkranz, Johannes and Hüllermeier, Eyke and Loza Mencía, Eneldo and Brinker, Klaus :
Multilabel Classification via Calibrated Label Ranking.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/MLJ08.pdf]
In: Machine Learning, 73 (2) pp. 133-153.
[Article] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes :
Pairwise Learning of Multilabel Classifications with Perceptrons.
Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN-08)
[Conference or Workshop Item] , (2008)

Fürnkranz, Johannes and Loza Mencía, Eneldo and Paulheim, Heiko and Bestougeff, Hélène and Laukyte, Migle and Rubino, Rossella and Contissa, Giuseppe and Kamara, Lloyd and Mezaour, Amar-Djalil and Ramirez, Daniel and Riveret, Régis and Rudnianski, Michel :
Report on ALIS Ontology.

[Report] , (2008)

Loza Mencía, Eneldo and Fürnkranz, Johannes :
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
Proceedings of the LWA 2007: Lernen -- Wissen -- Adaption
[Conference or Workshop Item] , (2007)

Loza Mencía, Eneldo and Fürnkranz, Johannes
Hinneburg, Alexander (ed.) :

An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/papers...]
Proceedings of the LWA 2007: Lernen - Wissen - Adaption
[Conference or Workshop Item] , (2007)

Loza Mencía, Eneldo and Fürnkranz, Johannes :
Pairwise Learning of Multilabel Classifications with Perceptrons.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...]

[Report] , (2007)

Loza Mencía, Eneldo :
Paarweises Lernen von Multilabel-Klassifikationen mit dem Perzeptron-Algorithmus.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/lehre/arbeiten/dipl...]
TU Darmstadt
[Master Thesis] , (2006)

This list was generated on Tue Apr 23 01:55:31 2019 CEST.