ECML PKDD 2018 Workshops, Kartoniert / Broschiert
ECML PKDD 2018 Workshops
- Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Carlos Alzate, Irena Koprinska, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian Molloy, Maria-Irina Nicolae, Mathieu Sinn, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà
- Verlag:
- Springer, 02/2019
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783030134525
- Artikelnummer:
- 8995639
- Umfang:
- 272 Seiten
- Gewicht:
- 410 g
- Maße:
- 235 x 155 mm
- Stärke:
- 14 mm
- Erscheinungstermin:
- 16.2.2019
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
Label Sanitization against Label Flipping Poisoning Attacks.- Limitations of the Lipschitz constant as a Defense Against Adversarial Examples.- Understanding Adversarial Space through the Lens of Attribution.- Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.- Smart Cities with Deep Edges.- Computational Model for Urban Growth Using Socioeconomic Latent Parameters.- Object Geolocation from Crowdsourced Street Level Imagery.- Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations.- SALER: a Data Science Solution to Detect and Prevent Corruption in Public Administration.- MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities.- Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches.- Host based Intrusion Detection System with Combined CNN/RNN Model.- Cyber Attacks against the PC Learning Algorithm.- Neural Networks in an AdversarialSetting and Ill-Conditioned Weight Space.- Pseudo-Random Number Generation using Generative Adversarial Networks.- Context Delegation for Context-Based Access Control.- An Information Retrieval System For CBRNe Incidents.- A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support.- Event relevancy pruning in support of energy-efficient sequential pattern mining.- How to Measure Energy Consumption in Machine Learning Algorithms.
Biografie (Stefan Kramer)
Stefan Kramer (PD Dr. Phil.) ist Hochschuldozent für Medienwissenschaft an der Universität Konstanz. Er forscht u.a. zu Kultur, Kulturgeschichte, Kulturtheorie und Diskursgeschichte der Medien, Medienkommunikation und Interkulturalität, kulturelle Identität sowie den Medien Ostasiens.