| 2021 | AIME | Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. | Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Menca, Johannes Frnkranz |
| 2021 | DIS | Combining Predictions Under Uncertainty: The Case of Random Decision Trees. | Florian Busch, Moritz Kulessa, Eneldo Loza Menca, Hendrik Blockeel |
| 2021 | IDA | Revisiting Non-specific Syndromic Surveillance. | Moritz Kulessa, Eneldo Loza Menca, Johannes Frnkranz |
| 2020 | DIS | Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. | Simon Bohlender, Eneldo Loza Menca, Moritz Kulessa |
| 2020 | DIS | On Aggregation in Ensembles of Multilabel Classifiers. | Vu-Linh Nguyen, Eyke Hllermeier, Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2020 | KI | Conformal Rule-Based Multi-label Classification. | Eyke Hllermeier, Johannes Frnkranz, Eneldo Loza Menca |
| 2020 | LREC | A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation. | Margot Mieskes, Eneldo Loza Menca, Tim Kronsbein |
| 2019 | DIS | Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. | Yannik Klein, Michael Rapp, Eneldo Loza Menca |
| 2019 | DIS | On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. | Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2019 | ICML | Learning Context-dependent Label Permutations for Multi-label Classification. | Jinseok Nam, Young-Bum Kim, Eneldo Loza Menca, Sunghyun Park, Ruhi Sarikaya, Johannes Frnkranz |
| 2018 | DIS | Dynamic Classifier Chain with Random Decision Trees. | Moritz Kulessa, Eneldo Loza Menca |
| 2018 | KI | Analysis and Optimization of Deep Counterfactual Value Networks. | Patryk Hopner, Eneldo Loza Menca |
| 2018 | NAACL | Which Scores to Predict in Sentence Regression for Text Summarization? | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2018 | PAKDD | Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. | Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2017 | DIS | Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. | Camila Gonzlez, Eneldo Loza Menca, Johannes Frnkranz |
| 2017 | NLDB | Multi-objective Optimisation-Based Feature Selection for Multi-label Classification. | Mohammed Arif Khan, Asif Ekbal, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | AAAI | All-in Text: Learning Document, Label, and Word Representations Jointly. | Jinseok Nam, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | COLING | Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | CoNLL | Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | DIS | DeepRED - Rule Extraction from Deep Neural Networks. | Jan Ruben Zilke, Eneldo Loza Menca, Frederik Janssen |
| 2016 | ESANN | Using semantic similarity for multi-label zero-shot classification of text documents. | Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | LREC | Medical Concept Embeddings via Labeled Background Corpora. | Eneldo Loza Menca, Gerard de Melo, Jinseok Nam |
| 2014 | DIS | Stacking Label Features for Learning Multilabel Rules. | Eneldo Loza Menca, Frederik Janssen |
| 2014 | ICDM | Graded Multilabel Classification by Pairwise Comparisons. | Christian Brinker, Eneldo Loza Menca, Johannes Frnkranz |
| 2012 | IDA | Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. | Wouter Duivesteijn, Eneldo Loza Menca, Johannes Frnkranz, Arno J. Knobbe |
| 2010 | LREC | Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. | Eneldo Loza Menca, Johannes Frnkranz |
| 2009 | ESANN | Efficient voting prediction for pairwise multilabel classification. | Eneldo Loza Menca, Sang-Hyeun Park, Johannes Frnkranz |
| 2009 | ICAIL | Segmentation of legal documents. | Eneldo Loza Menca |
| 2008 | IJCNN | Pairwise learning of multilabel classifications with perceptrons. | Eneldo Loza Menca, Johannes Frnkranz |