Volumes and issues

Special Issue of the ACML 2021 Journal Track; Guest Editors: Yu-Feng Li, Mehmet Gönen, Kee-Eung Kim

Special Issue of the ACML 2020 Journal Track; Guest Editors: Kee-Eung Kim, Vineeth N Balasubramanian

Special Issue on Discovery Science; Guest Editors: Larisa Soldatova, Joaquin Vanschoren

Special Issue of the ECML PKDD 2020 Journal Track; Guest Editors: Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier

Special Issue on Inductive Logic Programming

Special Issue of the ACML 2019 Journal Track; Guest Editors: Kee-Eung Kim and Jun Zhu

Special Issue for the ECML PKDD 2019 Journal Track; Guest Editors: Karsten Borgwardt, Po-Ling Loh, Evimaria Terzi, and Antti Ukkonen

Special Issue on Inductive Logic Programming, ILP 2017 and 2018

Special Issue of the ACML 2018 Journal Track; Guest Editors: Masashi Sugiyama and Yung-Kyun Noh

Special Issue: Conformal and Probabilistic Prediction with Applications; Guest Editors: Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson

Special Issue: Discovery Science; Guest Editors: Michelangelo Ceci, Toon Calders

Special Issue of the ECML PKDD 2018 Journal Track; Guest Editors: Jesse Davis, Elisa Fromont, Derek Greene, and Bjorn Bringmann

Special Issue: Inductive Logic Programming; Guest Editors: James Cussens, Alessandra Russo

Special Issue on Asian Conference on Machine Learning; Guest Editors: Lee Wee Sun and Robert Durrant

Special Issue on Metalearning and Algorithm Selection; Guest Editors: Pavel Brazdil and Christophe Giraud-Carrier

Special Issue on Inductive Logic Programming; Guest Editors: Katsumi Inoue, Hayato Ohwada, and Akihiro Yamamoto

Special Issue of the ECML PKDD 2017 Journal Track; Guest Editors: Kurt Driessens, Dragi Kocev, Marko Robnik‐Šikonja, and Myra Spiliopoulou

Special Issue on Dynamic Networks and Knowledge Discovery; Guest Editors: Céline Rouveirol, Ruggero G. Pensa, and Rushed Kanawati

Special Issue on Discovery Science; Guest Editors: Nathalie Japkowicz and Stan Matwin

Special Issue for the Journal Track of the 8th Asian Conference on Machine Learning (ACML 2016); Guest Editors: Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, and Zhi-Hua Zhou

Special Issue of Selected Papers from ACML 2015; Guest Editors: Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, and Zhi-Hua Zhou

Special Issue on Discovery Science; Guest Editors: Sašo Džeroski, Dragi Kocev, and Panče Panov

Special Issue of the ECMLPKDD 2016 Journal Track; Guest Editors: Thomas Gärtner , Mirco Nanni, Andrea Passerini, and Celine Robardet

Special Issue on Inductive Logic Programming; Guest Editors: Jesse Davis and Jan Ramon

Special Issue of Selected Papers from ACML 2014; Guest Editors: Hang Li, Dinh Phung, Tru Cao, Tu-Bao Ho, and Zhi-Hua Zhou

Special Issue on Machine Learning for Health and Medicine; Guest Editors: Jenna Wiens and Byron C. Wallace

Special Issue: Data Analysis and Intelligent Optimization with Applications; Guest Editors: Vadim Strijov • Gerhard-Wilhelm Weber • Richard Weber • Süreyya Ozogur Akyüz

Special Issue of the ECMLPKDD 2015 Journal Track; Guest Editors: Concha Bielza • João Gama • Alípio Jorge • Indrė Žliobaitė

Special Issue on Inductive Logic Programming and on Multi-Relational Learning; Guest Editors: Gerson Zaverucha and Vitor Santos Costa

Special Issue of Selected Papers of ACML 2013; Guest Editors: Cheng Soon Ong, Wray Buntine, Tu-Bao Ho, Masashi Sugiyama and Geoffrey I. Webb

Special issue on MultiClust: discovering, summarizing and using multiple clusterings; Guest Editors: Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, and Jennifer Dy

Special Issue of the ECML/PKDD 2014 Journal Track; Guest Editors: Toon Calders, Floriana Esposito, Eyke Hüllermeier, and Rosa Meo

Special Issue on Grammatical Inference; Guest Editors: Jeffrey Heinz, C. de la Higuera, and Tim Oates

Special Issue: Computational social science and social computing; Guest Editors: Winter Mason, Jennifer Wortman Vaughan, and Hanna Wallach

Special Issue: Machine learning for science and society; Guest Editors: Cynthia Rudin and Kiri L. Wagstaff

Special Issue on Learning Semantics; Guest Editors: Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, and Luke Zettlemoyer

Special Issue on Inductive Logic Programming (ILP 2012); Guest Editors: Fabrizio Riguzzi and Filip Železný

Special Issue: Preference Learning and Ranking; Guest Editors: Eyke Hüllermeier and Johannes Fürnkranz

Special Issue of the ECML PKDD 2013 Journal Track; Guest Editors: Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, and Filip Železný

Special Issue of Selected Papers of ACML 2012; Guest Editors: Zhi-Hua Zhou, Wee Sun Lee, Steven C.H. Hoi, Wray Buntine, and Hiroshi Motoda

Special Issue of Selected Papers from ECML-PKDD 2012; Guest Editors: Tijl De Bie and Peter A. Flach

Special Issue on Inductive Logic Programming (ILP 2011); Guest Editors: Stephen Muggleton and Jianzhong Chen

Special Issue of Selected Papers from ECML PKDD 2011; Guest Editors: Dimitrios Gunopulos, Donato Malerba, and Michalis Vazirgiannis

Special Issue on Learning from Multi-Label Data; Guest Editors: Grigorios Tsoumakas, Min-Ling Zhang, and Zhi-Hua Zhou

Special Issue on Inductive Logic Programming (ILP 2010); Guest Editors: Paolo Frasconi and Francesca A. Lisi

Special Issue on Model Selection and Optimization in Machine Learning; Guest Editors: Süreyya Özöğür-Akyüz, Devrim Ünay, and Alex Smola

Includes Special Section on Machine Learning in Space--Guest Editors: Amy McGovern and Kiri L. Wagstaff

Special Issue on Empirical Evaluations in Reinforcement Learning; Guest Editors: Shimon Whiteson and Michael L. Littman

Special Issue on Inductive Logic Programming, Mining and Learning in Graphs and Statistical Relational Learning; Guest Editors: Hendrik Blockeel, Karsten Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting and Xifeng Yan

25th Anniversary Issue

Special Issue on Learning and Mining with Graphs; Guest Editors: S.V.N. Vishwanathan, Samuel Kaski, Jennifer Neville, and Stefan Wrobel

Special Issue on Swarm Intelligence; Guest Editors: David Martens, Bart Baesens, and Tom Fawcett

Special Issue on Machine Learning in Adversarial Environments; Guest Editors: Pavel Laskov and Richard Lippmann

Special Issue: Selected Papers from ECML PKDD 2010; Guest Editors: José L Balcázar, Francesco Bonchi, Aristides Gionis, and Michèle Sebag

Special Issue on Learning Theory; Guest Editors: Sham Kakade and Ping Li

Special Issue on Machine Learning Algorithms for Event Detection; Guest Editors: Dragos Margineantu, Weng-Keen Wong, and Denver Dash

Special Issue on Learning from Multiple Sources; Guest Editors: Nicolò Cesa-Bianchi, David R. Hardoon, and Gayle Leen

Special Issue on Structured Prediction; Guest Editors: Charles Parker, Yasemin Altun, and Prasad Tadepalli

Special Issue from ECML PKDD 2009 Guest Editors: Aleksander Kołcz, Dunja Mladenić, Wray Buntine, Marko Grobelnik, and John Shawe-Taylor

Special Issue: Inductive Logic Programming; Guest Editors: Filip Železný and Nada Lavrač

Special issue on mining and learning with graphs; Guest editors: Thomas Gärtner, Gemma C. Garriga

Special Issue on Inductive Transfer Learning; Guest Editors: Daniel L. Silver and Kristin P. Bennett

Special issue on Inductive Logic Programming (ILP 2007); Guest Editors:Hendrik Blockeel, Jude Shavlik, Prasad Tadepalli

Special issue on Selected Papers from ECML PKDD 2008; Guest editors: Walter Daelemans, Bart Goethals, Katharina Morik

Special issue on Learning Theory (COLT-2007); Guest Editors: Claudio Gentile, Nader H. Bshouty

Special Issue on Inductive Logic Programming (ILP); Guest Editors: Stephen Muggleton, Ramon Otero, Simon Colton

Special Issue on COLT 2006; Guest Editors: Avrim Blum, Gabor Lugosi and Hans Ulrich Simon

Special Issue on Learning & Computational Game Theory

Special Issue on Learning Theory

Special Issue on Grammatical Inference

Special Issue on Machine Learning in and for Music

Special ILP Mega-Issue: ILP-2003 and ILP-2004; ILP-2003 Guest Editors: Tamás Horváth and Akihiro Yamamoto; ILP-2004 Guest Editors: Rui Camacho, Ross King and Ashwin Srinivasan

Special Issue: Machine Learning and Games

Special Issue: Multi-Relational Data Mining and Statistical Relational Learning

Inductive Logic Programming (ILP)

Special Issue: Data Mining Lessons Learned

Theoretical Advances in Data Clustering

Special Issue: Inductive Logic Programming (ILP)

Special Issue: Meta-Learning

Special Issue: Machine Learning in the Genomics Era

Special Issue: Inductive Logic Programming

Special Issue on Inductive Logic Programming

Special Issue on Unsupervised Learning

Special Issue on Reinforcement Learning

Connectionist Approaches to Language Learning

Genetic Algorithms

Computational Learning Theory

Knowledge Acquisition

Genetic Algorithms