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ORCIDNemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: Dublin, Ireland
- Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5
Nemesis 2018: Recent Advances in Adversarial Machine Learning
- Andrea Paudice, Luis Muñoz-González
, Emil C. Lupu:
Label Sanitization Against Label Flipping Poisoning Attacks. 5-15 - Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha:
Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples. 16-29 - Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy:
Understanding Adversarial Space Through the Lens of Attribution. 30-40 - Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki:
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. 41-47
UrbReas 2018: Urban Reasoning from Complex Challenges in Cities
- Gary White, Siobhán Clarke:
Smart Cities with Deep Edges. 53-64 - Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry:
Computational Model for Urban Growth Using Socioeconomic Latent Parameters. 65-78 - Vladimir A. Krylov, Rozenn Dahyot:
Object Geolocation from Crowdsourced Street Level Imagery. 79-83
SoGood 2018: Data Science for Social Good
- Tu Ngo, Vera Georgescu, Carmen Gervet, Anne Laurent, Thérèse Libourel, Grégoire Mercier:
Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations. 89-102 - Fernando Martínez-Plumed, Juan Carlos Casamayor, Cèsar Ferri, Jon Ander Gómez, Eduardo Vendrell Vidal:
SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration. 103-117 - Dominika Woszczyk, Gerasimos Spanakis:
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities. 118-133 - Janardan Misra, Divya Rawat, Sanjay Podder:
Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches. 134-144
IWAISe 2018: Artificial Intelligence in Security
- Ashima Chawla, Brian Lee, Sheila Fallon, Paul Jacob:
Host Based Intrusion Detection System with Combined CNN/RNN Model. 149-158 - Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas:
Cyber Attacks Against the PC Learning Algorithm. 159-176 - Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy:
Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space. 177-190 - Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria:
Pseudo-Random Number Generation Using Generative Adversarial Networks. 191-200 - Mouiad Al-Wahah, Csilla Farkas:
Context Delegation for Context-Based Access Control. 201-210 - Brett Drury, Ihsan Ullah, Michael G. Madden:
An Information Retrieval System for CBRNe Incidents. 211-215 - Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden:
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. 216-221
Green Data Mining: Energy Efficient Data Mining and Knowledge Discovery
- Pierre Dagnely, Tom Tourwé, Elena Tsiporkova:
Event Relevancy Pruning in Support of Energy-Efficient Sequential Pattern Mining. 227-242 - Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
How to Measure Energy Consumption in Machine Learning Algorithms. 243-255
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