| Set-valued prediction in hierarchical classification with constrained representation complexity. | 0 | 0.34 | 2022 |
| On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification | 0 | 0.34 | 2022 |
| Propensity-scored Probabilistic Label Trees | 0 | 0.34 | 2021 |
| Efficient Set-Valued Prediction In Multi-Class Classification | 0 | 0.34 | 2021 |
| Online probabilistic label trees. | 0 | 0.34 | 2021 |
| Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. | 0 | 0.34 | 2019 |
| Multi-Target Prediction: A Unifying View on Problems and Methods. | 2 | 0.37 | 2019 |
| Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. | 0 | 0.34 | 2018 |
| A no-regret generalization of hierarchical softmax to extreme multi-label classification. | 1 | 0.34 | 2018 |
| Consistency Analysis for Binary Classification Revisited. | 1 | 0.35 | 2017 |
| Extreme F-measure Maximization using Sparse Probability Estimates. | 10 | 0.54 | 2016 |
| Online F-Measure Optimization | 6 | 0.53 | 2015 |
| Surrogate regret bounds for generalized classification performance metrics. | 0 | 0.34 | 2015 |
| Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty | 16 | 0.85 | 2014 |
| Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. | 34 | 1.16 | 2013 |
| On the bayes-optimality of F-measure maximizers | 0 | 0.34 | 2013 |
| Consistent Multilabel Ranking through Univariate Losses. | 5 | 0.45 | 2012 |
| Learning monotone nonlinear models using the choquet integral | 13 | 0.66 | 2012 |
| On label dependence and loss minimization in multi-label classification | 114 | 2.76 | 2012 |
| F-Measure Maximization in Topical Classification. | 4 | 0.42 | 2012 |
| Adapting Travel Time Estimates to Current Traffic Conditions. | 0 | 0.34 | 2012 |
| An Analysis of Chaining in Multi-Label Classification. | 1 | 0.38 | 2012 |
| Community Traffic: A Technology for the Next Generation Car Navigation. | 0 | 0.34 | 2012 |
| An Exact Algorithm for F-Measure Maximization. | 40 | 1.64 | 2011 |
| Bipartite Ranking through Minimization of Univariate Loss. | 33 | 1.05 | 2011 |
| Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains | 1 | 0.61 | 2010 |
| ENDER: a statistical framework for boosting decision rules | 23 | 0.84 | 2010 |
| Label Ranking Methods based on the Plackett-Luce Model | 14 | 1.05 | 2010 |
| Regret analysis for performance metrics in multi-label classification: the case of hamming and subset zero-one loss | 13 | 0.68 | 2010 |
| Rough set approach to multiple criteria classification with imprecise evaluations and assignments | 54 | 1.50 | 2009 |
| Stochastic dominance-based rough set model for ordinal classification | 70 | 2.04 | 2008 |
| Solving Regression by Learning an Ensemble of Decision Rules | 10 | 0.63 | 2008 |
| Maximum likelihood rule ensembles | 16 | 0.82 | 2008 |
| Ensemble of decision rules for ordinal classification with monotonicity constraints | 11 | 0.59 | 2008 |
| Optimized generalized decision in dominance-based rough set approach | 7 | 0.72 | 2007 |
| Relationship between Loss Functions and Confirmation Measures | 0 | 0.34 | 2007 |
| Ordinal classification with decision rules | 9 | 0.60 | 2007 |
| Mining direct marketing data by ensembles of weak learners and rough set methods | 1 | 0.35 | 2006 |
| Additive preference model with piecewise linear components resulting from dominance-based rough set approximations | 5 | 0.49 | 2006 |
| Quality of rough approximation in multi-criteria classification problems | 9 | 1.07 | 2006 |
| Ensembles of decision rules for solving binary classification problems in the presence of missing values | 3 | 0.46 | 2006 |
| Interactive analysis of preference-ordered data using dominance-based rough set approach | 0 | 0.34 | 2006 |
| Flexible querying with fuzzy projection | 0 | 0.34 | 2005 |
| Second-order rough approximations in multi-criteria classification with imprecise evaluations and assignments | 16 | 1.06 | 2005 |
| Dominance-based Rough Set Classifier without Induction of Decision Rules | 22 | 0.91 | 2003 |
| Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach | 30 | 1.13 | 2003 |
