https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
Abstract—Most intrusion detection systems (IDS) are vul-nerable to novel attacks and struggle to maintain a balance between high accuracy and a low false positive rate. Furthermore, the relevant features of Distributed Denial of Service (DDoS) attacks in conventional networks may not necessarily apply to the Software-defined network (SDN) environment. Additionally, weak feature selection ...
https://law.temple.edu/wp-content/uploads/Cognitive-Bias-and-Its-Impact-on-Expert-Witnesses-and-the-Court.pdf
Expert evidence provides a much needed contribution to the courts in administering justice. Understanding the way humans think and how the brain processes information offers insights to circumstances in which even expert evidence may be influenced by contextual information and cognitive bias. Cognitive science can identify such potential weaknesses and suggest practical ways to mitigate them.
https://community.mis.temple.edu/mis5206sec001fall2021/files/2017/08/ISACA_Risk-IT-Framework_fmk_Eng_0610.pdf
IT risk is a component of the overall risk universe of the enterprise, as shown in figure 3. Other risks an enterprise faces include strategic risk, environmental risk, market risk, credit risk, operational risk and compliance risk.
https://tyler.temple.edu/sites/tyler/files/Translations4_Trauma-informed%20Art%20Education.pdf
Trauma-informed art education involves commitment to relationships and programs that attempt to mitigate the efects of past traumatic experiences and to avoid retraumatization (Kay, 2020). Art educators who are trauma-informed build relationships, listen and afirm, empathize, assess to teach, and instruct in ways that help students build on their strengths. We utilize the therapeutic ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...
https://cph.temple.edu/sites/cph/files/node/profile/resume/Michael%20Sachs%20CV%20Oct%202018.pdf
Hollins College (VA) - 1973-1974, M.A. in general- experimental psychology, 1975. University of Windsor (Canada) - 1974-1975, first year doctoral work in social-personality psychology. Florida State University (FL) - 1975-1980, Ph.D. in motor learning (specialization in sport psychology), 1980, from the Department of Movement Science and Physical Education. Loyola College (MD) - 1983-1989, M.S ...
https://sites.temple.edu/cognitionlearning/files/2017/08/Gunderson-et-al-in-press-DP-Parent-Praise.pdf
1 For consistency with prior work, we chose to restrict our sample to the N=53 parent-child dyads reported in Gunderson et al. (2013). This subsample included only dyads who had complete data for praise and motivational frameworks. However, we also repeated our main path analyses including all available data (i.e., N=60 parent-child dyads who had at least some data on dependent variables). The ...
https://sites.temple.edu/assessment/
Profiling assessment activities at Temple University Libraries and beyond
https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases Xueming Luo,aSiliang Tong,aZheng Fang,bZhe Quc
https://cis.temple.edu/~latecki/Courses/RobotFall07/PapersFall07/fox-ijrr-2003.pdf
a small part of the state space, and it chooses a large number of samples if the state un-certainty is high. Both the implementation and computation overhead of this approach are small. Extensive experiments using mobile robot localization as a test application show that our approach yields drastic improvements over particle filters with fixed sample set sizes and over a previously introduced ...