Mencia, Eneldo Loza

12 publications

MLJ 2023 Tree-Based Dynamic Classifier Chains Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz

MLJ 2022 A Flexible Class of Dependence-Aware Multi-Label Loss Functions Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp

ECML-PKDD 2021 Gradient-Based Label Binning in Multi-Label Classification Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier

ECML-PKDD 2020 Learning Gradient Boosted Multi-Label Classification Rules Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier

ICML 2019 Learning Context-Dependent Label Permutations for Multi-Label Classification Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencia, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz

NeurIPS 2017 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-Label Classification Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J Kim, Johannes Fürnkranz

AAAI 2016 All-in Text: Learning Document, Label, and Word Representations Jointly Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz

MLJ 2016 Learning Rules for Multi-Label Classification: A Stacking and a Separate-and-Conquer Approach Eneldo Loza Mencía, Frederik Janssen

ECML-PKDD 2015 Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-Label Learning Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz

ECML-PKDD 2014 Large-Scale Multi-Label Text Classification - Revisiting Neural Networks Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz

ECML-PKDD 2008 Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain Eneldo Loza Mencía, Johannes Fürnkranz

MLJ 2008 Multilabel Classification via Calibrated Label Ranking Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker