Eneldo Loza Mencía

75 papers A* 3B 20C 2Misc 2Journal 28Unranked 19

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