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Cognitive Bias and Its Impact on Expert Witnesses and the Court

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.

Mindy Shi's Homepage at Temple University

https://cis.temple.edu/~mindyshi/

Candidate must have or be close to obtaining a Ph.D. in quantitative fields (include but not limited to Computer Science, Statistics, Mathematics, and Physics) and have demonstrated a high level of research productivity through publication in peer-reviewed conferences and journals. Experiences with machine learning or data privacy is required. As a team player working closely with cross ...

Wang Lab - Temple University

https://cis.temple.edu/~yu/wanglab/index.html

About The W ireless and A dvanced N etworking G roup (WANG Lab) in the Department of Computer and Information Sciences at Temple University focuses on research that advances the way that people, devices and applications interact in emerging wireless networking, smart sensing, distributed computing, and artificial intelligence. Wang Lab was established in the University of North Carolina at ...

Pei Wang Publications - Temple University

https://cis.temple.edu/~wangp/papers.html

Selected Papers of Pei Wang All the following publications are authored by Pei Wang unless specified otherwise.

2023-2024 Student Basic Needs Survey Report | The Hope Center for ...

https://hope.temple.edu/research/hope-center-basic-needs-survey/2023-2024-student-basic-needs-survey-report

This report shares findings from 91 institutions across 16 states that participated in Hope Impact Partnerships (HIP) and fielded The Hope Center Student Basic Needs Survey between Spring 2023 and Summer 2024.

silent-Sense.dvi - cis.temple.edu

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 ...

A Survival Guide to AI and Teaching pt.4: Make AI Your Friend

https://sites.temple.edu/edvice/2023/06/21/a-survival-guide-to-ai-and-teaching-pt-4-make-ai-your-friend/

Allow students to submit an AI-generated first draft of a paper early in the semester, then focus their efforts on the revision process. Students submit both the AI draft and their revised version in a collaborative document (such as MS Word or Google Docs) so that you can track changes and see the version history.

Bloom's Taxonomy Blooms Digitally | Tech Learning

https://teaching.temple.edu/sites/teaching/files/resource/pdf/1%20Bloom%27s%20Taxonomy%20Blooms%20Digitally%20_%20Tech%20Learning.pdf

Bloom's Revised Taxonomy In the 1990's, a former student of Bloom, Lorin Anderson, revised Bloom's Taxonomy and published this-Bloom's Revised Taxonomy in 2001.Key to this is the use of verbs rather than nouns for each of the categories and a rearrangement of the sequence within the taxonomy. They are arranged below in increasing order, from low to high.

A Modern Introduction to Probability and Statistics

https://cis.temple.edu/~latecki/Courses/CIS2033-Spring13/Modern_intro_probability_statistics_Dekking05.pdf

A modern introduction to probability and statistics. — (Springer texts in statistics) 1. Probabilities 2. Mathematical statistics I. Dekking, F. M.

DeepIDPS: An Adaptive DRL-based Intrusion Detection and Prevention ...

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 ...