https://sites.temple.edu/ticlj/files/2017/02/30.1.Scharre-TICLJ.pdf
Paul Scharre* Much of the debate on autonomous weapons presumes a choice between human versus autonomous decision-making over targeting and engagement decisions. In fact, in many situations, human-machine teaming in engagement decisions will not only be possible but preferable. Hybrid human-machine cognitive architectures will be able to leverage the precision and reliability of automation ...
https://sites.temple.edu/wise2022/files/2022/11/WISE-2022-Schedule-and-Program-11.24.22.pdf
December 14-16, 2022, Copenhagen Business School, Denmark Preliminary – Subject to Change
https://cis.temple.edu/~yu/research/mobicomPOS06-bo.pdf
ABSTRACT In this work, we present SilentSense, a framework to authenticate users silently and transparently by exploiting the user touch behav-ior biometrics and leveraging the integrated sensors to capture the micro-movement of the device caused by user’s screen-touch ac-tions. By tracking the fine-detailed touch actions of the user, we build a “touch-based biometrics” model of the ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/WENJUNJIANG2021TWeb.pdf
In online systems, including e-commerce platforms, many users resort to the reviews or comments generated by previous consumers for decision making, while their time is limited to deal with many reviews. Therefore, a review summary, which contains all important features in user-generated reviews, is expected. In this paper, we study “how to generate a comprehensive review summary from a ...
https://scholarshare.temple.edu/server/api/core/bitstreams/d5d8ff3d-a246-44fa-ba1a-7ed48b4e6adf/content
Professor of Law, Temple University, Beasley School of Law. The author thanks Temple University, Beasley School of Law for research support, and Kristen Tiscione, Kirsten Davis, and Kristen Murray for the discussions and feedback that inspired this article. Many thanks also to Megan Albright and Emily Kowey for their able research assistance.