Tree-based dynamic classifier chains.

Eneldo Loza Mencía http://www.ke.tu-darmstadt.de/staff/eneldo https://scholar.google.com/citations?user=8Kv6q8wAAAAJ https://orcid.org/0000-0002-2735-9326 TU Darmstadt, Department of Computer Science, Germany

Eneldo Loza Mencía Moritz Kulessa Simon Bohlender Johannes Fürnkranz Tree-based dynamic classifier chains. 4129-4165 2023 November 112 Mach. Learn. 11 https://doi.org/10.1007/s10994-022-06162-3 db/journals/ml/ml112.html#MenciaKBF23

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. 4:1-4:32 2023 1 TGDK 1 https://doi.org/10.4230/TGDK.1.1.4 https://www.wikidata.org/entity/Q125216032 db/journals/tgdk/tgdk1.html#BiswasKCDJLLMPS23

Antonella Plaia Simona Buscemi Johannes Fürnkranz Eneldo Loza Mencía Comparing Boosting and Bagging for Decision Trees of Rankings. 78-99 2022 39 J. Classif. 1 https://doi.org/10.1007/s00357-021-09397-2 db/journals/classification/classification39.html#PlaiaBFM22

Eyke Hüllermeier Marcel Wever Eneldo Loza Mencía Johannes Fürnkranz Michael Rapp A flexible class of dependence-aware multi-label loss functions. 713-737 2022 111 Mach. Learn. 2 https://doi.org/10.1007/s10994-021-06107-2 db/journals/ml/ml111.html#HullermeierWMFR22

Florian Busch Moritz Kulessa Eneldo Loza Mencía Hendrik Blockeel Combining Predictions under Uncertainty: The Case of Random Decision Trees. 2022 abs/2208.07403 CoRR https://doi.org/10.48550/arXiv.2208.07403 db/journals/corr/corr2208.html#abs-2208-07403

Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance. 32 2021 10 Comput. 3 https://doi.org/10.3390/computers10030032 db/journals/computers/computers10.html#KulessaMF21

Michael Rapp Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. 784159 2021 4 Frontiers Big Data https://doi.org/10.3389/fdata.2021.784159 db/journals/fdata/fdata4.html#RappKMF21

Moritz Kulessa Bennet Wittelsbach Eneldo Loza Mencía Johannes Fürnkranz Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. 61-71 2021 AIME https://doi.org/10.1007/978-3-030-77211-6_7 conf/aime/2021 db/conf/aime/aime2021.html#KulessaWMF21 Florian Busch Moritz Kulessa Eneldo Loza Mencía Hendrik Blockeel Combining Predictions Under Uncertainty: The Case of Random Decision Trees. 78-93 2021 DS https://doi.org/10.1007/978-3-030-88942-5_7 conf/dis/2021 db/conf/dis/dis2021.html#BuschKMB21 Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Revisiting Non-specific Syndromic Surveillance. 128-140 2021 IDA https://doi.org/10.1007/978-3-030-74251-5_11 conf/ida/2021 db/conf/ida/ida2021.html#KulessaMF21 Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Eyke Hüllermeier Gradient-Based Label Binning in Multi-label Classification. 462-477 2021 ECML/PKDD (3) https://doi.org/10.1007/978-3-030-86523-8_28 conf/pkdd/2021-3 db/conf/pkdd/pkdd2021-3.html#RappMFH21

Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Revisiting Non-Specific Syndromic Surveillance. 2021 abs/2101.12246 CoRR https://arxiv.org/abs/2101.12246 db/journals/corr/corr2101.html#abs-2101-12246

Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Eyke Hüllermeier Gradient-based Label Binning in Multi-label Classification. 2021 abs/2106.11690 CoRR https://arxiv.org/abs/2106.11690 db/journals/corr/corr2106.html#abs-2106-11690

Michael Rapp Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. 2021 abs/2110.09208 CoRR https://arxiv.org/abs/2110.09208 db/journals/corr/corr2110.html#abs-2110-09208

Eneldo Loza Mencía Moritz Kulessa Simon Bohlender Johannes Fürnkranz Tree-Based Dynamic Classifier Chains. 2021 abs/2112.06672 CoRR https://arxiv.org/abs/2112.06672 db/journals/corr/corr2112.html#abs-2112-06672

Simon Bohlender Eneldo Loza Mencía Moritz Kulessa Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. 471-485 2020 DS https://doi.org/10.1007/978-3-030-61527-7_31 conf/dis/2020 db/conf/dis/dis2020.html#BohlenderMK20 Vu-Linh Nguyen Eyke Hüllermeier Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz On Aggregation in Ensembles of Multilabel Classifiers. 533-547 2020 DS https://doi.org/10.1007/978-3-030-61527-7_35 conf/dis/2020 db/conf/dis/dis2020.html#NguyenHRMF20 Eyke Hüllermeier Johannes Fürnkranz Eneldo Loza Mencía Conformal Rule-Based Multi-label Classification. 290-296 2020 KI https://doi.org/10.1007/978-3-030-58285-2_25 conf/ki/2020 db/conf/ki/ki2020.html#HullermeierFM20 Margot Mieskes Eneldo Loza Mencía Tim Kronsbein A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation. 6690-6699 2020 LREC https://aclanthology.org/2020.lrec-1.826/ conf/lrec/2020 db/conf/lrec/lrec2020.html#MieskesMK20 Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Vu-Linh Nguyen Eyke Hüllermeier Learning Gradient Boosted Multi-label Classification Rules. 124-140 2020 ECML/PKDD (3) https://doi.org/10.1007/978-3-030-67664-3_8 conf/pkdd/2020-3 db/conf/pkdd/pkdd2020-3.html#RappMFNH20 Eyke Hüllermeier Johannes Fürnkranz Eneldo Loza Mencía Vu-Linh Nguyen Michael Rapp Rule-Based Multi-label Classification: Challenges and Opportunities. 3-19 2020 RuleML+RR https://doi.org/10.1007/978-3-030-57977-7_1 conf/ruleml/2020 db/conf/ruleml/ruleml2020.html#HullermeierFMNR20

Simon Bohlender Eneldo Loza Mencía Moritz Kulessa Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. 2020 abs/2006.08094 CoRR https://arxiv.org/abs/2006.08094 db/journals/corr/corr2006.html#abs-2006-08094

Vu-Linh Nguyen Eyke Hüllermeier Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz On Aggregation in Ensembles of Multilabel Classifiers. 2020 abs/2006.11916 CoRR https://arxiv.org/abs/2006.11916 db/journals/corr/corr2006.html#abs-2006-11916

Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Vu-Linh Nguyen Eyke Hüllermeier Learning Gradient Boosted Multi-label Classification Rules. 2020 abs/2006.13346 CoRR https://arxiv.org/abs/2006.13346 db/journals/corr/corr2006.html#abs-2006-13346

Eyke Hüllermeier Johannes Fürnkranz Eneldo Loza Mencía Conformal Rule-Based Multi-label Classification. 2020 abs/2007.08145 CoRR https://arxiv.org/abs/2007.08145 db/journals/corr/corr2007.html#abs-2007-08145

Eyke Hüllermeier Marcel Wever Eneldo Loza Mencía Johannes Fürnkranz Michael Rapp A Flexible Class of Dependence-aware Multi-Label Loss Functions. 2020 abs/2011.00792 CoRR https://arxiv.org/abs/2011.00792 db/journals/corr/corr2011.html#abs-2011-00792

Johannes Fürnkranz Eyke Hüllermeier Eneldo Loza Mencía Michael Rapp Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning. 2020 abs/2012.04377 CoRR https://arxiv.org/abs/2012.04377 db/journals/corr/corr2012.html#abs-2012-04377

Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Improving the Fusion of Outbreak Detection Methods with Supervised Learning. 55-66 2019 CIBB https://doi.org/10.1007/978-3-030-63061-4_6 conf/cibb/2019 db/conf/cibb/cibb2019.html#KulessaMF19 Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. 96-111 2019 DS https://doi.org/10.1007/978-3-030-33778-0_9 conf/dis/2019 db/conf/dis/dis2019.html#RappMF19 Yannik Klein Michael Rapp Eneldo Loza Mencía Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. 367-382 2019 DS https://doi.org/10.1007/978-3-030-33778-0_28 conf/dis/2019 db/conf/dis/dis2019.html#KleinRM19 Jinseok Nam Young-Bum Kim Eneldo Loza Mencía Sunghyun Park Ruhi Sarikaya Johannes Fürnkranz Learning Context-dependent Label Permutations for Multi-label Classification. 4733-4742 2019 ICML http://proceedings.mlr.press/v97/nam19a.html conf/icml/2019 db/conf/icml/icml2019.html#NamKMPSF19

Moritz Kulessa Eneldo Loza Mencía Johannes Fürnkranz Improving Outbreak Detection with Stacking of Statistical Surveillance Methods. 2019 abs/1907.07464 CoRR http://arxiv.org/abs/1907.07464 db/journals/corr/corr1907.html#abs-1907-07464

Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. 2019 abs/1908.03032 CoRR http://arxiv.org/abs/1908.03032 db/journals/corr/corr1908.html#abs-1908-03032

Yannik Klein Michael Rapp Eneldo Loza Mencía Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning. 2019 abs/1908.06874 CoRR http://arxiv.org/abs/1908.06874 db/journals/corr/corr1908.html#abs-1908-06874

Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy. 2019 abs/1911.04393 CoRR http://arxiv.org/abs/1911.04393 db/journals/corr/corr1911.html#abs-1911-04393

Moritz Kulessa Eneldo Loza Mencía Dynamic Classifier Chain with Random Decision Trees. 33-50 2018 DS https://doi.org/10.1007/978-3-030-01771-2_3 conf/dis/2018 db/conf/dis/dis2018.html#KulessaM18 Patryk Hopner Eneldo Loza Mencía Analysis and Optimization of Deep Counterfactual Value Networks. 305-312 2018 KI https://doi.org/10.1007/978-3-030-00111-7_26 conf/ki/2018 db/conf/ki/ki2018.html#HopnerM18 Markus Zopf Eneldo Loza Mencía Johannes Fürnkranz Which Scores to Predict in Sentence Regression for Text Summarization? 1782-1791 2018 NAACL-HLT https://doi.org/10.18653/v1/n18-1161 https://aclanthology.org/N18-1161/ conf/naacl/2018-1 db/conf/naacl/naacl2018-1.html#ZopfMF18 Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. 29-42 2018 PAKDD (1) https://doi.org/10.1007/978-3-319-93034-3_3 conf/pakdd/2018-1 db/conf/pakdd/pakdd2018-1.html#RappMF18 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. 272-277 2018 SNAMS https://doi.org/10.1109/SNAMS.2018.8554853 conf/snams/2018 db/conf/snams/snams2018.html#ZopfBFHMMSMFF18

Eneldo Loza Mencía Patryk Hopner Analysis and Optimization of Deep CounterfactualValue Networks. 2018 abs/1807.00900 CoRR http://arxiv.org/abs/1807.00900 db/journals/corr/corr1807.html#abs-1807-00900

Eneldo Loza Mencía Johannes Fürnkranz Eyke Hüllermeier Michael Rapp Learning Interpretable Rules for Multi-label Classification. 2018 abs/1812.00050 CoRR http://arxiv.org/abs/1812.00050 db/journals/corr/corr1812.html#abs-1812-00050

Michael Rapp Eneldo Loza Mencía Johannes Fürnkranz Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. 2018 abs/1812.06833 CoRR http://arxiv.org/abs/1812.06833 db/journals/corr/corr1812.html#abs-1812-06833

Camila González Eneldo Loza Mencía Johannes Fürnkranz Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. 127-143 2017 DS https://doi.org/10.1007/978-3-319-67786-6_10 https://www.wikidata.org/entity/Q59195202 conf/dis/2017 db/conf/dis/dis2017.html#GonzalezMF17 Jinseok Nam Eneldo Loza Mencía Hyunwoo J. Kim Johannes Fürnkranz Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. 5413-5423 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/2eb5657d37f474e4c4cf01e4882b8962-Abstract.html http://papers.nips.cc/paper/7125-maximizing-subset-accuracy-with-recurrent-neural-networks-in-multi-label-classification conf/nips/2017 db/conf/nips/nips2017.html#NamMKF17 Mohammed Arif Khan Asif Ekbal Eneldo Loza Mencía Johannes Fürnkranz Multi-objective Optimisation-Based Feature Selection for Multi-label Classification. 38-41 2017 NLDB https://doi.org/10.1007/978-3-319-59569-6_5 conf/nldb/2017 db/conf/nldb/nldb2017.html#KhanEMF17

Axel Schulz 0001 Eneldo Loza Mencía Benedikt Schmidt 0001 A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets. 88-110 2016 57 Inf. Syst. https://doi.org/10.1016/j.is.2015.10.010 db/journals/is/is57.html#SchulzMS16

Eneldo Loza Mencía Frederik Janssen Learning rules for multi-label classification: a stacking and a separate-and-conquer approach. 77-126 2016 105 Mach. Learn. 1 https://doi.org/10.1007/s10994-016-5552-1 db/journals/ml/ml105.html#MenciaJ16

Jinseok Nam Eneldo Loza Mencía Johannes Fürnkranz All-in Text: Learning Document, Label, and Word Representations Jointly. 1948-1954 2016 AAAI https://doi.org/10.1609/aaai.v30i1.10241 https://www.wikidata.org/entity/Q125921407 conf/aaai/2016 db/conf/aaai/aaai2016.html#NamMF16 Markus Zopf Eneldo Loza Mencía Johannes Fürnkranz Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. 1071-1082 2016 COLING https://aclanthology.org/C16-1102/ conf/coling/2016 db/conf/coling/coling2016.html#ZopfMF16 Markus Zopf Eneldo Loza Mencía Johannes Fürnkranz Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. 84-94 2016 CoNLL https://doi.org/10.18653/v1/k16-1009 https://aclanthology.org/K16-1009/ conf/conll/2016 db/conf/conll/conll2016.html#ZopfMF16 Jan Ruben Zilke Eneldo Loza Mencía Frederik Janssen DeepRED - Rule Extraction from Deep Neural Networks. 457-473 2016 DS https://doi.org/10.1007/978-3-319-46307-0_29 conf/dis/2016 db/conf/dis/dis2016.html#ZilkeMJ16 Prateek Veeranna Sappadla Jinseok Nam Eneldo Loza Mencía Johannes Fürnkranz Using semantic similarity for multi-label zero-shot classification of text documents. 2016 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2016-174.pdf conf/esann/2016 db/conf/esann/esann2016.html#SappadlaNMF16 Eneldo Loza Mencía Gerard de Melo Jinseok Nam Medical Concept Embeddings via Labeled Background Corpora. 2016 LREC http://www.lrec-conf.org/proceedings/lrec2016/summaries/1190.html conf/lrec/2016 db/conf/lrec/lrec2016.html#MenciaMN16 Mohammed Arif Khan Asif Ekbal Eneldo Loza Mencía Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis. 285-294 2015 ICON https://aclanthology.org/W15-5942/ conf/icon-nlp/2015 db/conf/icon-nlp/icon-nlp2015.html#KhanEM15 Jinseok Nam Eneldo Loza Mencía Hyunwoo J. Kim Johannes Fürnkranz Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. 102-118 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_7 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#NamMKF15 Eneldo Loza Mencía Frederik Janssen Stacking Label Features for Learning Multilabel Rules. 192-203 2014 Discovery Science https://doi.org/10.1007/978-3-319-11812-3_17 conf/dis/2014 db/conf/dis/dis2014.html#MenciaJ14 Petar Ristoski Eneldo Loza Mencía Heiko Paulheim A Hybrid Multi-strategy Recommender System Using Linked Open Data. 150-156 2014 SemWebEval@ESWC https://doi.org/10.1007/978-3-319-12024-9_19 conf/esws/2014semwebeval db/conf/esws/semwebeval2014.html#RistoskiMP14 Christian Brinker Eneldo Loza Mencía Johannes Fürnkranz Graded Multilabel Classification by Pairwise Comparisons. 731-736 2014 ICDM https://doi.org/10.1109/ICDM.2014.102 https://doi.ieeecomputersociety.org/10.1109/ICDM.2014.102 https://www.wikidata.org/entity/Q59195215 conf/icdm/2014 db/conf/icdm/icdm2014.html#BrinkerMF14 Axel Schulz 0001 Eneldo Loza Mencía Thanh-Tung Dang Benedikt Schmidt 0001 Evaluating Multi-label Classification of Incident-related Tweet. 26-33 2014 #MSM https://ceur-ws.org/Vol-1141/paper_01.pdf conf/msm/2014 db/conf/msm/msm2014.html#SchulzMDS14 Jinseok Nam Jungi Kim Eneldo Loza Mencía Iryna Gurevych Johannes Fürnkranz Large-Scale Multi-label Text Classification - Revisiting Neural Networks. 437-452 2014 ECML/PKDD (2) https://doi.org/10.1007/978-3-662-44851-9_28 conf/pkdd/2014-2 db/conf/pkdd/pkdd2014-2.html#NamKMGF14 Eneldo Loza Mencía Efficient pairwise multilabel classification. 2013 1-247 Darmstadt University of Technology, Germany http://tuprints.ulb.tu-darmstadt.de/3226/ https://nbn-resolving.org/urn:nbn:de:tuda-tuprints-32260 https://d-nb.info/1038456223 https://d-nb.info/1107769655 Eneldo Loza Mencía Simon Holthausen Axel Schulz 0001 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. 2013 DMoLD https://ceur-ws.org/Vol-1082/paper4.pdf conf/dmold/2013 db/conf/dmold/dmold2013.html#MenciaHSJ13 Eneldo Loza Mencía Frederik Janssen Towards Multilabel Rule Learning. 144-147 2013 LWA conf/lwa/2013 db/conf/lwa/lwa2013.html#MenciaJ13 Wouter Duivesteijn Eneldo Loza Mencía Johannes Fürnkranz Arno J. Knobbe Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. 114-125 2012 IDA https://doi.org/10.1007/978-3-642-34156-4_12 conf/ida/2012 db/conf/ida/ida2012.html#DuivesteijnMFK12

Eneldo Loza Mencía Sang-Hyeun Park Johannes Fürnkranz Efficient voting prediction for pairwise multilabel classification. 1164-1176 2010 73 Neurocomputing 7-9 https://doi.org/10.1016/j.neucom.2009.11.024 https://www.wikidata.org/entity/Q59195231 db/journals/ijon/ijon73.html#MenciaPF10

Eneldo Loza Mencía Johannes Fürnkranz Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. 192-215 2010 Semantic Processing of Legal Texts https://doi.org/10.1007/978-3-642-12837-0_11 conf/lrec/2010legal db/conf/lrec/legal2010.html#MenciaF10 Eneldo Loza Mencía An Evaluation of Multilabel Classification for the Automatic Annotation of Texts. 121-123 2010 LWA http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml11.pdf conf/lwa/2010 db/conf/lwa/lwa2010.html#Mencia10 Eneldo Loza Mencía Sang-Hyeun Park Johannes Fürnkranz Efficient voting prediction for pairwise multilabel classification. 2009 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2009-112.pdf conf/esann/2009 db/conf/esann/esann2009.html#MenciaPF09 Eneldo Loza Mencía Segmentation of legal documents. 88-97 2009 ICAIL https://doi.org/10.1145/1568234.1568245 conf/icail/2009 db/conf/icail/icail2009.html#Mencia09 Eneldo Loza Mencía Sang-Hyeun Park Johannes Fürnkranz Efficient Voting Prediction for Pairwise Multilabel Classification. KDML:72-75 2009 LWA conf/lwa/2009 db/conf/lwa/lwa2009.html#MenciaPF09

Johannes Fürnkranz Eyke Hüllermeier Eneldo Loza Mencía Klaus Brinker Multilabel classification via calibrated label ranking. 133-153 2008 73 Mach. Learn. 2 https://doi.org/10.1007/s10994-008-5064-8 https://www.wikidata.org/entity/Q59195246 db/journals/ml/ml73.html#FurnkranzHMB08

Eneldo Loza Mencía Johannes Fürnkranz Pairwise learning of multilabel classifications with perceptrons. 2899-2906 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634206 https://www.wikidata.org/entity/Q59195248 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#MenciaF08 Eneldo Loza Mencía Johannes Fürnkranz Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. 50-65 2008 ECML/PKDD (2) https://doi.org/10.1007/978-3-540-87481-2_4 conf/pkdd/2008-2 db/conf/pkdd/pkdd2008-2.html#MenciaF08 Eneldo Loza Mencía Johannes Fürnkranz An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. 126-132 2007 conf/lwa/2007 LWA db/conf/lwa/lwa2007.html#MenciaF07 P. V. S. AvineshAvinesh P. V. S. Russa Biswas Hendrik Blockeel Simon Bohlender Teresa Botschen Christian Brinker Klaus Brinker Simona Buscemi Florian Busch Michael Cochez Thanh-Tung Dang Wouter Duivesteijn Stefania Dumbrava Asif Ekbal Tobias Falke Anette Frank Johannes Fürnkranz Camila González Iryna Gurevych Benjamin Heinzerling Simon Holthausen Patryk Hopner Eyke Hüllermeier Frederik Janssen Theis E. Jendal Lucie-Aimée Kaffee Mohammed Arif Khan Hyunwoo J. Kim Jungi Kim Young-Bum Kim Yannik Klein Arno J. Knobbe Tim Kronsbein Moritz Kulessa Matteo Lissandrini Vanessa López Ana Marasovic Gerard de Melo Margot Mieskes Todor Mihaylov Jinseok Nam Vu-Linh Nguyen Sang-Hyeun Park Sunghyun Park Heiko Paulheim Antonella Plaia Michael Rapp Petar Ristoski Harald Sack Prateek Veeranna Sappadla Ruhi Sarikaya Benedikt Schmidt 0001 Axel Schulz 0001 Edlira Vakaj Marcel Wever Bennet Wittelsbach Jan Ruben Zilke Markus Zopf