Eneldo Loza Mencía

Dr. Eneldo Loza Mencía

Postdoctoral researcher

+49 6151 16 21811

Homepage

Hochschulstrasse 10
64289 Darmstadt

Office: S2|02 D219

More information

Research Interests

Multilabel, Large-Scale, Pairwise and Text Classification, Rule Learning, Deep Learning, Understandable and Interpretative Models, Text Summarization, Web Mining.

Publications

Gruppiere nach: Datum | Typ des Eintrags | Keine Gruppierung
Springe zu: 2018 | 2017 | 2016 | 2008 | 2007
Anzahl der Einträge: 16.

2018

Zopf, Markus ; Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2018)

2017

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

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

2016

Zopf, Markus ; Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2016)

Zopf, Markus ; Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2016)

Schulz, Axel ; Mencía, Eneldo Loza ; 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 88--110.
[Artikel] , (2016)

Mencía, Eneldo Loza ; Janssen, Frederik :
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach.
In: Machine Learning, 105 (1) 77--126.
[Artikel] , (2016)

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

Sappadla, Prateek Veeranna ; Nam, Jinseok ; Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2016)

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

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

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

Nam, Jinseok ; Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2016)

2008

Mencía, Eneldo Loza ; Fürnkranz, Johannes
Daelemans, Walter ; Goethals, Bart ; 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
[Konferenz- oder Workshop-Beitrag] , (2008)

Mencía, Eneldo Loza ; Fürnkranz, Johannes
Montemagni, Simonetta ; Tiscornia, Daniela ; Francesconi, Enrico ; 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
[Konferenz- oder Workshop-Beitrag] , (2008)

2007

Mencía, Eneldo Loza ; 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
[Konferenz- oder Workshop-Beitrag] , (2007)

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