Eneldo Loza Mencía

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 56

Top Venues

CoRR

Mach. Learn.

ECML/PKDD (3)

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
Tree-based dynamic classifier chains. Mach. Learn. 112 (11) (2023)
Russa Biswas, Lucie-Aimée Kaffee, Michael Cochez, Stefania Dumbrava, Theis E. Jendal, Matteo Lissandrini, Vanessa López, Eneldo Loza Mencía, Heiko Paulheim, Harald Sack, Edlira Vakaj, Gerard de Melo
Knowledge Graph Embeddings: Open Challenges and Opportunities. TGDK 1 (1) (2023)
Antonella Plaia, Simona Buscemi, Johannes Fürnkranz, Eneldo Loza Mencía
Comparing Boosting and Bagging for Decision Trees of Rankings. J. Classif. 39 (1) (2022)
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
A flexible class of dependence-aware multi-label loss functions. Mach. Learn. 111 (2) (2022)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions under Uncertainty: The Case of Random Decision Trees. CoRR (2022)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
Gradient-Based Label Binning in Multi-label Classification. ECML/PKDD (3) (2021)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
Gradient-based Label Binning in Multi-label Classification. CoRR (2021)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Revisiting Non-specific Syndromic Surveillance. IDA (2021)
Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
Tree-Based Dynamic Classifier Chains. CoRR (2021)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Revisiting Non-Specific Syndromic Surveillance. CoRR (2021)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS (2021)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance. Comput. 10 (3) (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4 (2021)
Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz
Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. AIME (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR (2021)
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía
Conformal Rule-Based Multi-label Classification. KI (2020)
Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. DS (2020)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
Learning Gradient Boosted Multi-label Classification Rules. CoRR (2020)
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On Aggregation in Ensembles of Multilabel Classifiers. CoRR (2020)
Margot Mieskes, Eneldo Loza Mencía, Tim Kronsbein
A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation. LREC (2020)
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR (2020)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
Learning Gradient Boosted Multi-label Classification Rules. ECML/PKDD (3) (2020)
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On Aggregation in Ensembles of Multilabel Classifiers. DS (2020)
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía, Vu-Linh Nguyen, Michael Rapp
Rule-Based Multi-label Classification: Challenges and Opportunities. RuleML+RR (2020)
Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. CoRR (2020)
Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning. CoRR (2020)
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía
Conformal Rule-Based Multi-label Classification. CoRR (2020)
Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencía, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz
Learning Context-dependent Label Permutations for Multi-label Classification. ICML (2019)
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. DS (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy. CoRR (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. CoRR (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. DS (2019)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Improving the Fusion of Outbreak Detection Methods with Supervised Learning. CIBB (2019)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Improving Outbreak Detection with Stacking of Statistical Surveillance Methods. CoRR (2019)
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning. CoRR (2019)
Patryk Hopner, Eneldo Loza Mencía
Analysis and Optimization of Deep Counterfactual Value Networks. KI (2018)
Eneldo Loza Mencía, Patryk Hopner
Analysis and Optimization of Deep CounterfactualValue Networks. CoRR (2018)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. CoRR (2018)
Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp
Learning Interpretable Rules for Multi-label Classification. CoRR (2018)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. PAKDD (1) (2018)
Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Mencía, Johannes Fürnkranz, Anette Frank
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. SNAMS (2018)
Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz
Which Scores to Predict in Sentence Regression for Text Summarization? NAACL-HLT (2018)
Moritz Kulessa, Eneldo Loza Mencía
Dynamic Classifier Chain with Random Decision Trees. DS (2018)
Mohammed Arif Khan, Asif Ekbal, Eneldo Loza Mencía, Johannes Fürnkranz
Multi-objective Optimisation-Based Feature Selection for Multi-label Classification. NLDB (2017)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS (2017)
Camila González, Eneldo Loza Mencía, Johannes Fürnkranz
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. DS (2017)
Jan Ruben Zilke, Eneldo Loza Mencía, Frederik Janssen
DeepRED - Rule Extraction from Deep Neural Networks. DS (2016)
Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
All-in Text: Learning Document, Label, and Word Representations Jointly. AAAI (2016)
Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. COLING (2016)
Axel Schulz, Eneldo Loza Mencía, Benedikt Schmidt
A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets. Inf. Syst. 57 (2016)
Eneldo Loza Mencía, Gerard de Melo, Jinseok Nam
Medical Concept Embeddings via Labeled Background Corpora. LREC (2016)
Eneldo Loza Mencía, Frederik Janssen
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach. Mach. Learn. 105 (1) (2016)
Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
Using semantic similarity for multi-label zero-shot classification of text documents. ESANN (2016)
Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. CoNLL (2016)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. ECML/PKDD (1) (2015)
Mohammed Arif Khan, Asif Ekbal, Eneldo Loza Mencía
Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis. ICON (2015)
Axel Schulz, Eneldo Loza Mencía, Thanh-Tung Dang, Benedikt Schmidt
Evaluating Multi-label Classification of Incident-related Tweet. #MSM (2014)
Eneldo Loza Mencía, Frederik Janssen
Stacking Label Features for Learning Multilabel Rules. Discovery Science (2014)
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
Large-Scale Multi-label Text Classification - Revisiting Neural Networks. ECML/PKDD (2) (2014)
Christian Brinker, Eneldo Loza Mencía, Johannes Fürnkranz
Graded Multilabel Classification by Pairwise Comparisons. ICDM (2014)
Petar Ristoski, Eneldo Loza Mencía, Heiko Paulheim
A Hybrid Multi-strategy Recommender System Using Linked Open Data. SemWebEval@ESWC (2014)
Eneldo Loza Mencía, Frederik Janssen
Towards Multilabel Rule Learning. LWA (2013)
Eneldo Loza Mencía, Simon Holthausen, Axel Schulz, Frederik Janssen
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information - A Machine Learning approach to the Linked Data Mining Challenge 2013. DMoLD (2013)
Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno J. Knobbe
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. IDA (2012)
Eneldo Loza Mencía
An Evaluation of Multilabel Classification for the Automatic Annotation of Texts. LWA (2010)
Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz
Efficient voting prediction for pairwise multilabel classification. Neurocomputing 73 (7-9) (2010)
Eneldo Loza Mencía, Johannes Fürnkranz
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. Semantic Processing of Legal Texts (2010)
Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz
Efficient voting prediction for pairwise multilabel classification. ESANN (2009)
Eneldo Loza Mencía
Segmentation of legal documents. ICAIL (2009)
Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz
Efficient Voting Prediction for Pairwise Multilabel Classification. LWA (2009)
Eneldo Loza Mencía, Johannes Fürnkranz
Pairwise learning of multilabel classifications with perceptrons. IJCNN (2008)
Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker
Multilabel classification via calibrated label ranking. Mach. Learn. 73 (2) (2008)
Eneldo Loza Mencía, Johannes Fürnkranz
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. ECML/PKDD (2) (2008)
Eneldo Loza Mencía, Johannes Fürnkranz
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. LWA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eneldo Loza Mencía