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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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Carlos Alzate

    1. IBM Research - Ireland, Dublin, Ireland

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  2. Anna Monreale

    1. KDD Lab, University of Pisa, Pisa, Italy

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  3. Haytham Assem

    1. IBM (Ireland), Dublin, Ireland

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  4. Albert Bifet

    1. Telecom ParisTech, Paris Cedex 13, France

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  5. Teodora Sandra Buda

    1. IBM (Ireland), Dublin, Ireland

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  6. Bora Caglayan

    1. IBM (Ireland), Dublin, Ireland

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  7. Brett Drury

    1. LIAAD-INESC-TEC, Porto, Portugal

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  8. Eva García-Martín

    1. Blekinge Institute of Technology, Karlskrona, Sweden

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  9. Ricard Gavaldà

    1. UPC BarcelonaTech, Barcelona, Spain

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  10. Irena Koprinska

    1. University of Sydney, Sydney, Australia

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  11. Stefan Kramer

    1. Johannes Gutenberg University of Mainz, Mainz, Germany

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  12. Niklas Lavesson

    1. Jönköping University, Jönköping, Sweden

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  13. Michael Madden

    1. National University of Ireland, Galway, Galway, Ireland

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  14. Ian Molloy

    1. IBM Research, Yorktown Heights, USA

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  15. Maria-Irina Nicolae

    1. IBM Research - Ireland, Dublin, Ireland

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  16. Mathieu Sinn

    1. IBM Research - Ireland, Dublin, Ireland

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECML PKDD 2018.

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Table of contents (21 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Nemesis 2018: Recent Advances in Adversarial Machine Learning

    1. Front Matter

      Pages 1-3
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    2. Label Sanitization Against Label Flipping Poisoning Attacks

      • Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
      Pages 5-15

    3. Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples

      • Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha
      Pages 16-29

    4. Understanding Adversarial Space Through the Lens of Attribution

      • Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy
      Pages 30-40

    5. Detecting Potential Local Adversarial Examples for Human-Interpretable Defense

      • 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
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    2. Smart Cities with Deep Edges

      • Gary White, Siobhán Clarke
      Pages 53-64

    3. Computational Model for Urban Growth Using Socioeconomic Latent Parameters

      • Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry
      Pages 65-78

    4. Object Geolocation from Crowdsourced Street Level Imagery

      • Vladimir A. Krylov, Rozenn Dahyot
      Pages 79-83

  4. SoGood 2018: Data Science for Social Good

    1. Front Matter

      Pages 85-88
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    2. Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations

      • Tu Ngo, Vera Georgescu, Carmen Gervet, Anne Laurent, Thérèse Libourel, Grégoire Mercier
      Pages 89-102

    3. SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration

      • Fernando Martínez-Plumed, Juan Carlos Casamayor, Cèsar Ferri, Jon Ander Gómez, Eduardo Vendrell Vidal
      Pages 103-117

    4. MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities

      • Dominika Woszczyk, Gerasimos Spanakis
      Pages 118-133

    5. Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches

      • Janardan Misra, Divya Rawat, Sanjay Podder
      Pages 134-144

  5. IWAISe 2018: Artificial Intelligence in Security

    1. Front Matter

      Pages 145-147
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    2. Host Based Intrusion Detection System with Combined CNN/RNN Model

      • Ashima Chawla, Brian Lee, Sheila Fallon, Paul Jacob
      Pages 149-158

    3. Cyber Attacks Against the PC Learning Algorithm

      • Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas
      Pages 159-176

    4. Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space

      • Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy
      Pages 177-190

    5. Pseudo-Random Number Generation Using Generative Adversarial Networks

      • Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria
      Pages 191-200
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Other volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

  4. ECML PKDD 2018 Workshops

  5. ECML PKDD 2018 Workshops

Keywords

About this book

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


Editors and Affiliations

  • IBM Research - Ireland, Dublin, Ireland

    Carlos Alzate, Maria-Irina Nicolae, Mathieu Sinn

  • KDD Lab, University of Pisa, Pisa, Italy

    Anna Monreale

  • IBM (Ireland), Dublin, Ireland

    Haytham Assem, Teodora Sandra Buda, Bora Caglayan

  • Telecom ParisTech, Paris Cedex 13, France

    Albert Bifet

  • LIAAD-INESC-TEC, Porto, Portugal

    Brett Drury

  • Blekinge Institute of Technology, Karlskrona, Sweden

    Eva García-Martín

  • UPC BarcelonaTech, Barcelona, Spain

    Ricard Gavaldà

  • University of Sydney, Sydney, Australia

    Irena Koprinska

  • Johannes Gutenberg University of Mainz, Mainz, Germany

    Stefan Kramer

  • Jönköping University, Jönköping, Sweden

    Niklas Lavesson

  • National University of Ireland, Galway, Galway, Ireland

    Michael Madden

  • IBM Research, Yorktown Heights, USA

    Ian Molloy

Bibliographic Information

  • Book Title: ECML PKDD 2018 Workshops

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

  • Editors: 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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-13453-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-13452-5Published: 16 February 2019

  • eBook ISBN: 978-3-030-13453-2Published: 15 February 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 257

  • Number of Illustrations: 33 b/w illustrations, 59 illustrations in colour

  • Topics: Artificial Intelligence, Systems and Data Security, Image Processing and Computer Vision, Computer Communication Networks

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