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  • Volume 113

  • Volume 112

  • Volume 111

  • Volume 110

  • Volume 109

    • Issue 12

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

    • Issue 11

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

    • Issue 9-10

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

    • Issue 8
    • Issue 7

      Special Issue on Inductive Logic Programming

    • Issue 6
    • Issue 5
    • Issue 4
    • Issue 3

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

    • Issue 2
    • Issue 1
  • Volume 108

    • Issue 12
    • Issue 11
    • Issue 10
    • Issue 8-9

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

    • Issue 7

      Special Issue on Inductive Logic Programming, ILP 2017 and 2018

    • Issue 6
    • Issue 5

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

    • Issue 4
    • Issue 3

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

    • Issue 2
    • Issue 1
  • Volume 107

    • Issue 12
    • Issue 11

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

    • Issue 8-10

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

    • Issue 7

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

    • Issue 6
    • Issue 5
    • Issue 4

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

    • Issue 3
    • Issue 2
    • Issue 1

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

  • Volume 106

    • Issue 12

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

    • Issue 11
    • Issue 9-10

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

    • Issue 8

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

    • Issue 7
    • Issue 6

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

    • Issue 5

      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

    • Issue 4

      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

    • Issue 3
    • Issue 2
    • Issue 1
  • Volume 105

    • Issue 3
    • Issue 2
    • Issue 1

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

  • Volume 104

    • Issue 2-3

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

    • Issue 1
  • Volume 103

    • Issue 3

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

    • Issue 2

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

    • Issue 1
  • Volume 102

    • Issue 3

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

    • Issue 2
    • Issue 1
  • Volume 101

    • Issue 1-3

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

  • Volume 100

    • Issue 2-3

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

    • Issue 1

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

  • Volume 99

    • Issue 3
    • Issue 2

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

    • Issue 1
  • Volume 98

    • Issue 3
    • Issue 1-2

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

  • Volume 97

    • Issue 3
    • Issue 1-2

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

  • Volume 96

    • Issue 3
    • Issue 1-2

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

  • Volume 95

    • Issue 3

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

    • Issue 2
    • Issue 1

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

  • Volume 94

    • Issue 3
    • Issue 2

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

    • Issue 1

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

  • Volume 93

    • Issue 2-3

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

    • Issue 1

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

  • Volume 92

    • Issue 2-3

      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

    • Issue 1

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

  • Volume 91

  • Volume 90

  • Volume 89

    • Issue 3

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

    • Issue 1-2

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

  • Volume 88

    • Issue 3
    • Issue 1-2

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

  • Volume 87

  • Volume 86

    • Issue 3
    • Issue 2
    • Issue 1

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

  • Volume 85

    • Issue 3
    • Issue 1-2

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

  • Volume 84

    • Issue 3

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

    • Issue 1-2

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

  • Volume 83

    • Issue 3
    • Issue 2

      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

    • Issue 1
  • Volume 82

    • Issue 3

      25th Anniversary Issue

    • Issue 2

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

    • Issue 1

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

  • Volume 81

    • Issue 3
    • Issue 2

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

    • Issue 1

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

  • Volume 80

    • Issue 2-3

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

    • Issue 1
  • Volume 79

    • Issue 3

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

    • Issue 1-2

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

  • Volume 78

  • Volume 77

    • Issue 2-3

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

    • Issue 1
  • Volume 76

    • Issue 2-3

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

    • Issue 1

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

  • Volume 75

    • Issue 3
    • Issue 2
    • Issue 1

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

  • Volume 74

  • Volume 73

    • Issue 3

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

    • Issue 2
    • Issue 1

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

  • Volume 72

    • Issue 3

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

    • Issue 1-2

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

  • Volume 71

  • Volume 70

    • Issue 2-3

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

    • Issue 1
  • Volume 69

    • Issue 2-3

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

    • Issue 1
  • Volume 68

  • Volume 67

    • Issue 3
    • Issue 1-2

      Special Issue on Learning & Computational Game Theory

  • Volume 66

    • Issue 2-3

      Special Issue on Learning Theory

    • Issue 1

      Special Issue on Grammatical Inference

  • Volume 65

    • Issue 2-3

      Special Issue on Machine Learning in and for Music

    • Issue 1
  • Volume 64

    • Issue 1-3

      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

  • Volume 63

  • Volume 62

    • Issue 3
    • Issue 1-2

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

  • Volume 61

  • Volume 60

  • Volume 59

  • Volume 58

  • Volume 57

    • Issue 3

      Inductive Logic Programming (ILP)

    • Issue 1-2

      Special Issue: Data Mining Lessons Learned

  • Volume 56

    • Issue 1-3

      Theoretical Advances in Data Clustering

  • Volume 55

  • Volume 54

  • Volume 53

  • Volume 52

    • Issue 3
    • Issue 1-2

      Special Issue: Machine Learning in the Genomics Era

  • Volume 51

  • Volume 50

  • Volume 49

  • Volume 48

  • Volume 47

  • Volume 46

  • Volume 45

  • Volume 44

    • Issue 3

      Special Issue: Inductive Logic Programming

    • Issue 1-2
  • Volume 43

    • Issue 3
    • Issue 1-2

      Special Issue on Inductive Logic Programming

  • Volume 42

    • Issue 3
    • Issue 1-2

      Special Issue on Unsupervised Learning

  • Volume 41

  • Volume 40

  • Volume 39

  • Volume 38

  • Volume 37

  • Volume 36

  • Volume 35

  • Volume 34

  • Volume 33

  • Volume 32

  • Volume 31

  • Volume 30

  • Volume 29

  • Volume 28

  • Volume 27

  • Volume 26

  • Volume 25

  • Volume 24

  • Volume 23

  • Volume 22

    • Issue 1-3

      Special Issue on Reinforcement Learning

  • Volume 21

  • Volume 20

  • Volume 19

  • Volume 18

  • Volume 17

  • Volume 16

  • Volume 15

  • Volume 14

  • Volume 13

  • Volume 12

  • Volume 11

  • Volume 10

  • Volume 9

  • Volume 8

  • Volume 7

    • Issue 2-3

      Connectionist Approaches to Language Learning

    • Issue 1
  • Volume 6

  • Volume 5

  • Volume 4

  • Volume 3

  • Volume 2

  • Volume 1

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