Counterterrorism for Cyber-Physical Spaces-Reference-Cited by-同舟云学术

Counterterrorism for Cyber-Physical Spaces

Published:2020-09-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Advanced Visual Interfaces
language:
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Author:

Cascavilla Giuseppe¹,Slabber Johann²,Palomba Fabio³,Di Nucci Dario²,Tamburri Damian A.¹,van den Heuvel Willem-Jan²

Affiliation:

1. Eindhoven University of Technology, Den Bosch, Netherlands

2. Tilburg University Den Bosch, Netherlands

3. SeSa Lab - University of Salerno Salerno, Italy

Funder

Swiss National Science Foundation

European Union?s Internal Security Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3399715.3399826

Reference31 articles.

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2. David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou Joshua B. Tenenbaum William T. Freeman and Antonio Torralba. 2018. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. arXiv:cs.CV/1811.10597 David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou Joshua B. Tenenbaum William T. Freeman and Antonio Torralba. 2018. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. arXiv:cs.CV/1811.10597

3. GENERATIVE EXPLANATIONS OF CRIME: USING SIMULATION TO TEST CRIMINOLOGICAL THEORY*

4. Comparing Crime Prevention Strategies by Agent-Based Simulation

5. Andrew Brock Jeff Donahue and Karen Simonyan. 2018. Large Scale GAN Training for High Fidelity Natural Image Synthesis. arXiv:cs.LG/1809.11096 Andrew Brock Jeff Donahue and Karen Simonyan. 2018. Large Scale GAN Training for High Fidelity Natural Image Synthesis. arXiv:cs.LG/1809.11096