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ECML PKDD 2018 Workshops

Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

  • Carlos Alzate
  • Anna Monreale
  • Haytham Assem
  • Albert Bifet
  • Teodora Sandra Buda
  • Bora Caglayan
  • Brett Drury
  • Eva García-Martín
  • Ricard Gavaldà
  • Irena Koprinska
  • Stefan Kramer
  • Niklas Lavesson
  • Michael Madden
  • Ian Molloy
  • Maria-Irina Nicolae
  • Mathieu Sinn
Conference proceedings ECML PKDD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11329)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11329)

Table of contents

  1. Front Matter
    Pages I-X
  2. Nemesis 2018: Recent Advances in Adversarial Machine Learning

    1. Front Matter
      Pages 1-3
    2. Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
      Pages 5-15
    3. Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha
      Pages 16-29
    4. Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy
      Pages 30-40
    5. Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
      Pages 41-47
  3. UrbReas 2018: Urban Reasoning from Complex Challenges in Cities

    1. Front Matter
      Pages 49-51
    2. Gary White, Siobhán Clarke
      Pages 53-64
    3. Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry
      Pages 65-78
    4. Vladimir A. Krylov, Rozenn Dahyot
      Pages 79-83
  4. SoGood 2018: Data Science for Social Good

    1. Front Matter
      Pages 85-88
    2. Tu Ngo, Vera Georgescu, Carmen Gervet, Anne Laurent, Thérèse Libourel, Grégoire Mercier
      Pages 89-102
    3. Fernando Martínez-Plumed, Juan Carlos Casamayor, Cèsar Ferri, Jon Ander Gómez, Eduardo Vendrell Vidal
      Pages 103-117
    4. Dominika Woszczyk, Gerasimos Spanakis
      Pages 118-133
    5. Janardan Misra, Divya Rawat, Sanjay Podder
      Pages 134-144
  5. IWAISe 2018: Artificial Intelligence in Security

    1. Front Matter
      Pages 145-147
    2. Ashima Chawla, Brian Lee, Sheila Fallon, Paul Jacob
      Pages 149-158
    3. Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
      Pages 159-176
    4. Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy
      Pages 177-190
    5. Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria
      Pages 191-200
    6. Mouiad Al-Wahah, Csilla Farkas
      Pages 201-210
    7. Brett Drury, Ihsan Ullah, Michael G. Madden
      Pages 211-215
    8. Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin et al.
      Pages 216-221
  6. Green Data Mining: Energy Efficient Data Mining and Knowledge Discovery

    1. Front Matter
      Pages 223-225
    2. Pierre Dagnely, Tom Tourwé, Elena Tsiporkova
      Pages 227-242
    3. Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
      Pages 243-255
  7. Carlos Alzate, Anna Monreale
    Pages C1-C1
  8. Back Matter
    Pages 257-257

Other volumes

  1. DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
  2. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I
  3. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II
  4. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
  5. ECML PKDD 2018 Workshops
    Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

About these proceedings

Introduction

This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018.
 
The 20 papers presented in this volume were carefully reviewed and selected from a total of 32 submissions.

The workshops included are:

Nemesis 2018: First Workshop on Recent Advances in Adversarial Machine Learning

UrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities

SoGood 2018: Third Workshop on Data Science for Social Good

IWAISe 2018: Second International Workshop on Artificial Intelligence in Security

Green Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery

Keywords

adversarial attacks artificial intelligence data science green computing image processing image reconstruction IoT machine learning neural networks privacy security sensors wireless sensor networks

Editors and affiliations

  1. 1.IBM Research - IrelandDublinIreland
  2. 2.KDD LabUniversity of PisaPisaItaly
  3. 3.IBM (Ireland)DublinIreland
  4. 4.Telecom ParisTechParis Cedex 13France
  5. 5.IBM (Ireland)DublinIreland
  6. 6.IBM (Ireland)DublinIreland
  7. 7.LIAAD-INESC-TECPortoPortugal
  8. 8.Blekinge Institute of TechnologyKarlskronaSweden
  9. 9.UPC BarcelonaTechBarcelonaSpain
  10. 10.University of SydneySydneyAustralia
  11. 11.Johannes Gutenberg University of MainzMainzGermany
  12. 12.Jönköping UniversityJönköpingSweden
  13. 13.National University of Ireland, GalwayGalwayIreland
  14. 14.IBM ResearchYorktown HeightsUSA
  15. 15.IBM Research - IrelandDublinIreland
  16. 16.IBM Research - IrelandDublinIreland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-13453-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-13452-5
  • Online ISBN 978-3-030-13453-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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