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ECML PKDD 2018 Workshops

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Cover of 'ECML PKDD 2018 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Label Sanitization Against Label Flipping Poisoning Attacks
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    Chapter 2 Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples
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    Chapter 3 Understanding Adversarial Space Through the Lens of Attribution
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    Chapter 4 Detecting Potential Local Adversarial Examples for Human-Interpretable Defense
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    Chapter 5 Smart Cities with Deep Edges
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    Chapter 6 Computational Model for Urban Growth Using Socioeconomic Latent Parameters
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    Chapter 7 Object Geolocation from Crowdsourced Street Level Imagery
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    Chapter 8 Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations
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    Chapter 9 SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration
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    Chapter 10 MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
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    Chapter 11 Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches
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    Chapter 12 Host Based Intrusion Detection System with Combined CNN/RNN Model
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    Chapter 13 Cyber Attacks Against the PC Learning Algorithm
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    Chapter 14 Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space
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    Chapter 15 Pseudo-Random Number Generation Using Generative Adversarial Networks
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    Chapter 16 Context Delegation for Context-Based Access Control
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    Chapter 17 An Information Retrieval System for CBRNe Incidents
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    Chapter 18 A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support
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    Chapter 19 Event Relevancy Pruning in Support of Energy-Efficient Sequential Pattern Mining
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    Chapter 20 How to Measure Energy Consumption in Machine Learning Algorithms
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Citations

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17 Mendeley
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Title
ECML PKDD 2018 Workshops
Published by
Springer International Publishing, April 2019
DOI 10.1007/978-3-030-13453-2
ISBNs
978-3-03-013452-5, 978-3-03-013453-2
Editors

Alzate, Carlos, Monreale, Anna, Assem, Haytham, Bifet, Albert, Buda, Teodora Sandra, Caglayan, Bora, Drury, Brett, García-Martín, Eva, Gavaldà, Ricard, Kramer, Stefan, Lavesson, Niklas, Madden, Michael, Molloy, Ian, Nicolae, Maria-Irina, Sinn, Mathieu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Master 6 35%
Student > Bachelor 1 6%
Lecturer > Senior Lecturer 1 6%
Researcher 1 6%
Other 0 0%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 6 35%
Engineering 5 29%
Energy 1 6%
Arts and Humanities 1 6%
Unknown 4 24%