Articles, papers, presentations, and other materials authored by faculty from the Computer Science department of Loyola University Chicago's College of Arts & Sciences.

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Submissions from 2024

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Exploring Perceptions of Algorithmic Bias in Video Interviewing Software: The Importance of AI Hiring Education, Theresa Fister and George K. Thiruvathukal

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Robust Source Attribution of Synthetically Generated Western Blot Images, Matt Hyattt, George K. Thiruvathukal, and Daniel Moreira

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PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software, Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, and James C. Davis

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Intermediate C Programming (2nd Edition) Supplemental Lecture Materials, Yung-Hsiang Lu and George K. Thiruvathukal

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An Automated Approach for Improving The Inference Latency and Energy Efficiency of Pretrained CNNs by Removing Irrelevant Pixels with Focused Convolutions, Caleb Tung, Nick Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, and Yung-Hsiang Lu

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Terry Riley's "In C" for Mobile Ensemble, David B. Wetzel, Griffin Moe, and George K. Thiruvathukal

Submissions from 2023

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Poster: Userland Containers for Mobile Systems, Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, and Neil Klingensmith

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SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA), Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, and Neil Klingensmith

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Observing Human Mobility Internationally During COVID-19, Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, XinXin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, and Yung-Hsiang Lu

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Human Saliency-driven Patch-based Matching for Interpretable Post-mortem Iris Recognition, Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin Bowyer, and Adam Czajka

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Reusing Deep Learning Models: Challenges and Directions in Software Engineering, James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, and George K. Thiruvathukal

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Conversations with ChatGPT about C Programming: An Ongoing Study, James C. Davis, Yung-Hsiang Lu, and George K. Thiruvathukal

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Tree-based Unidirectional Neural Networks for Low-Power Computer Vision, Abhinav Goel, Caleb Tung, Nick Eliopoulos, Amy Wang, Jamie C. Davis, George K. Thiruvathukal, and Yung-Hisang Lu

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Assessing the Impact of a CSforALL Research-Practice Partnership Using the PROSPER Framework: A Case Study of the Chicago Alliance for Equity in Computer Science (CAFÉCS), Erin Henrick, Steven McGee, Ronald I. Greenberg, Dale Reed, Don Yanek, Lucia Dettori, and Haley Williamson

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Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge, Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, and Yung-Hsiang Lu

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Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem, Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, George K. Thiruvathukal, and James C. Davis

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Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs, Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, and James C. Davis

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PeaTMOSS: Mining Pre-Trained Models in Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, and James C. Davis

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An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry, Wenxin Jiang, Nicholas Synovic, Matt Hyattt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hisang Lu, George K. Thiruvathukal, and James C. Davis

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PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages, Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, and James C. Davis

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Using MPI For Distributed Hyper-Parameter Optimization andUncertainty Evaluation, Erik Pautsch, John Li, Silvio Rizzi, Maria Pantoja, and George K. Thiruvathukal

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Evaluation of Novel AI Architectures for Uncertainty Estimation, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja

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Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja

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Optimizing Uncertainty Quantification of Vision Transformers in Deep Learning on Novel AI Architectures, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja

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WebTracker: Real Webbrowsing Behaviors, Daisy Reyes, Eno Dynowski, Taryn Chovan, John Mikos, Eric Chan-Tin, Mohammed Abuhamad, and Shelia Kennison

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Lightweight and Effective Website Fingerprinting over Encrypted DNS, Yong Shao, Kenneth Hernandez, Kia Yang, Eric Chan-Tin, and Mohammed Abuhamad

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Predicting Phishing Victimization: Comparing Prior Victimization, Cognitive, and Emotional Styles, and Vulnerable or Protective E-mail Strategies, Loretta Stalans, Eric Chan-Tin, Anna Hart, Madeline Moran, and Shelia Kennison

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Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics, Nicholas Synovic, Matt Hyattt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, and George K. Thiruvathukal

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Motif Mining: Finding and Summarizing Remixed Image Content, William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, and Walter Scheirer

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ACM/IEEE CS Curriculum Mapping Project - An Ongoing Study, George K. Thiruvathukal and Konstantin Laufer

On the Effectiveness of Image Manipulation Detection in the Age of Social Media, Rosaura VidalMata, Priscila Saboia, Daniel Moreira, Grant Jensen, Jason Schlessman, and Walter Scheirer

Submissions from 2022

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Predicting Phishing Victimization: Roles of Protective and Vulnerable Strategies and Decision-Making Styles, Eric Chan-Tin, Loretta Stalans, Spencer Johnston, Daisy Reyes, and Shelia Kennison

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Bias Mitigation for Toxicity Detection via Sequential Decisions, Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah Hall, and Huan Liu

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Towards an Active Foveated Approach to Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, and Alejandro Javier Wainselboim

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Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision, Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, and Yung-Hisang Lu

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Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks, Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, and Yung-Hsiang Lu

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Finding Approximate Pythagorean Triples (and Applications to LEGO Robot Building), Ronald I. Greenberg, Matthew Fahrenbacher, and George K. Thiruvathukal

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A Labeled Dataset for Investigating Cyberbullying Content Patterns in Instagram, Mara Hamlett, Grace Powell, Yasin N. Silva, and Deborah Hall

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SoftwareSystemsLaboratory/ssl-metrics, Matt Hyatt, Amy Kuhl, Jake Palmer, Rohan Sethi, Ethan Stoneman, Nicholas Synovic, Sohini Thota, and George K. Thiruvathukal

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SoftwareSystemsLaboratory/ssl-metrics-git-bus-factor, Matt Hyatt, Nicholas Synovic, and George K. Thiruvathukal

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SoftwareSystemsLaboratory/ssl-metrics-git-productivity, Matt Hyatt, Nicholas Synovic, and George K. Thiruvathukal

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College teaching and AI, Leo Irakliotis

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An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain, Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyattt, Taylor R. Schorlemmer, George K. Thiruvathukal, and James C. Davis

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UnoAPI: Balancing Performance, Portability, and Productivity (P3) in HPC Education, Konstantin Laufer and George K. Thiruvathukal

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AEROKEY: Using Ambient Electromagnetic Radiation for Secure and Usable Wireless Device Authentication, Kyuin Lee, Yucheng Yang, Omkar Prabhune, Aishwarya Lekshmi Chithra, Jack West, Kassem Fawaz, Neil Klingensmith, Uman Banerjee, and Younghyun Kim

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Forensic Analysis of Synthetically Generated Western Blot Images, Sara Mandelli, Davide Cozzolino, Edoardo Cannas, João Phillipe Cardenuto, Daniel Moreira, Paolo Bestagini, Walter Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, and Edward Delp

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Chicago Alliance For Equity in Computer Science, Steven McGee, Lucia Dettori, Ronald I. Greenberg, Andrew M. Rasmussen, Dale F. Reed, and Don Yanek

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Phishing for Fun, Madeline Moran, Anna Hart, Loretta Stalans, Eric Chan-Tin, and Shelia Kennison

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SILA: A System for Scientific Image Analysis, Daniel Moreira, João Phillipe Cardenuto, Ruiting Shao, Sriram Baireddy, Davide Cozzolino, Diego Gragnaniello, Wael Abd-Almageed, Paolo Bestagini, Stefano Tubaro, Anderson Rocha, Walter Scheirer, Luisa Verdoliva, and Edward Delp

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Image Provenance Analysis, Daniel Moreira, William Theisen, Walter Scheirer, Aparna Bharati, Joel Brogan, and Anderson Rocha

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Using Magic to Teach Computer Programming, Dale F. Reed and Ronald I. Greenberg

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DBSnap 2: New Features to Construct Database Queries by Snapping Blocks, Yasin N. Silva, Alexis Loza, and Humberto Razente

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DBSnap-Eval: Identifying Database Query Construction Patterns, Yasin N. Silva, Alexis Loza, and Humberto Razente

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Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence, George K. Thiruvathukal, Yung-Hisang Lu, Jaeyoun Kim, Yiran Chen, and Bo Chen

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Efficient Computer Vision for Embedded Systems, George K. Thiruvathukal and Yung-Hsiang Lu

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Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision, Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel Amobi, George K. Thiruvathukal, Vipin Chaudhary, and Yung-Hisang Lu

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Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, and Younghyun Kim

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Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, and Younghyun Kim

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Comparing Online Surveys for Cybersecurity: SONA and Mturk, Anne Wagner, Anna Bakas, Shelia Kennison, and Eric Chan-Tin

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The Personalities of Social Media Posts and Photos, Anne Wagner, Anna Bakas, Daisy Reyes, Shelia Kennison, and Eric Chan-Tin

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Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps, Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, and Kassem Fawaz

Submissions from 2021

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AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning, Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, and Tamer Abuhmed

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Impact of Personality Types and Matching Messaging on Password Strength, Anna Bakas, Anne Wagner, Spencer Johnston, Shelia Kennison, and Eric Chan-Tin

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An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors, Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hisang Lu, George Thiruvathukal, and James C. Davis

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Automated Discovery of Network Cameras in Heterogeneous Web Pages, Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hisang Lu, and George K. Thiruvathukal

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Research-Practice Partnership Strategies to Conduct and Use Research to Inform Practice, Erin Henrick, Steven McGee, Lucia Dettori, Troy Williams, Andrew M. Rasmussen, Don Yanek, Ronald I. Greenberg, and Dale Reed

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Establishing Suitable Metrics to Encourage Broader Use of Atomic Requirements, William L. Honig

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Requirements Metrics - A Working List, William L. Honig

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SSL Metrics Datasets, Matt Hyatt, Amy Kuhl, Jake Palmer, Rohan Sethi, Nicholas Synovic, George K. Thiruvathukal, and Sohini Thota

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Predicting the Adoption of Password Managers: A Tale of Two Samples, Shelia Kennison and D. Eric Chan-Tin

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Nudging Students to Use Stronger Passwords: A Test of Big Five Personality-Based Messages, Shelia Kennison and Eric Chan-Tin

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Who creates strong passwords when nudging fails, Shelia M. Kennison, Ian T. Jones, Victoria H. Spooner, and D. Eric Chan-Tin

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Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology, Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, and Ofer Harel

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Chicago Alliance For Equity in Computer Science, Steven McGee, Lucia Dettori, Ronald I. Greenberg, Andrew M. Rasmussen, Dale F. Reed, and Don Yanek

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Tweets R Us: Predicting Personality from Language and Emoji Use on Twitter, Maxwell Meckling, Sarah Shoup, D. E. Chan-Tin, and Shelia Kennison

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SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc, Nicholas Synovic and George K. Thiruvathukal

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SoftwareSystemsLaboratory/ssl-metrics-github-issues, Nicholas Synovic and George K. Thiruvathukal

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Leveraging New Data Sources to Analyze the Risk of COVID-19 in Crowded Locations., George Thiruvathukal

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A Comparison of SONA and MTurk for Cybersecurity Surveys, Anne Wagner, Anna Bakas, Shelia Kennison, and Eric Chan-Tin

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Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication, Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, and Neil Klingensmith

Submissions from 2020

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Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information, Brook Abegaz, David Chan-Tin, Neil Klingensmith, and George K. Thiruvathukal

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Observing human behavior through worldwide network cameras., Sara Aghajanzadeh, Andrew T. Jebb, Yifan Li, Yung-Hsiang Lu, and George K. Thiruvathukal

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Camera Placement Meeting Restrictions of Computer Vision, Sara Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, and George K. Thiruvathukal

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A Real-Time Feature Indexing System on Live Video Streams, Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, and Yung-Hsiang Lu

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Towards High-End Scalability on Bio-Inspired Computational Models, Dario Dematties, Silvio Rizzi, and George K. Thiruvathukal

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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Mauricio D. Perez, Alejandro Javier Wainselboim, and Bonifacio Silvano Zanutto

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Towards High-End Scalability on Biologically-Inspired Computational Models, Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, and Bonifacio Silvano Zanutto

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Computer Science through Concurrent Enrollment: A Strategy to Broaden Participation, Renee Fall, Seth Freeman, Ronald I. Greenberg, Dan Kaiser, and Nigamanth Sridhar

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Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras, isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sara Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Elliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, and George K. Thiruvathukal

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Modular Neural Networks for Low-Power Image Classification on Embedded Devices, Abhinav Goel, Sara Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, and Yung-Hisang Lu

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Using Network Cameras to Observe COVID-19 Social Distancing, Abhinav Goel, Aditya Chakraborty, Akhil Chinnakotla, Ashley Kim, Caleb Tung, Damini Rijhwani, Fischer Bordwell, Gore Kao, Isha Ghodgaonkar, Kate Lee, Nick Eliopoulos, Sara Aghajanzadeh, Sneha Mahapatra, Sripath Mishra, Wei Zakharov, George K. Thiruvathukal, and Yung-Hisang Lu

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Low-Power Object Counting with Hierarchical Neural Networks, Abhinav Goel, Caleb Tung, Sara Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, and Yung-Hisang Lu

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A Survey of Methods for Low-Power Deep Learning and Computer Vision, Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, and George K. Thiruvathukal

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The Impact of CS for All on College Placement in Computer Science, Ronald I. Greenberg, Julie Medero, Samuel A. Rebelsky, Frances P. Trees, and Dale Reed

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Crowdsourcing Detection of Sampling Biases in Image Datasets, Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, and Ming Yin

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Taking Risks with Cybersecurity: Using Knowledge and Personal Characteristics to Predict Self-Reported Cybersecurity Behaviors, Shelia Kennison and Eric Chan-Tin

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ivPair: context-based fast intra-vehicle device pairing for secure wireless connectivity, Kyuin Lee, Neil Klingensmith, Dong He, Suman Banerjee, and Younghyun Kim

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Chicago Alliance For Equity in Computer Science, Steven McGee, Lucia Dettori, Ronald I. Greenberg, Andrew M. Rasmussen, Dale F. Reed, and Don Yanek

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The Changing Profile of ECS Teachers, Steven McGee, Lucia Dettori, Ronald I. Greenberg, Andrew M. Rasmussen, Dale F. Reed, and Don Yanek

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Does a Computer Science Graduation Requirement Contribute to Increased Enrollment in Advanced Computer Science Coursework?, Steven McGee, Randi McGee-Tekula, Jennifer Duck, Lucia Dettori, Ronald I. Greenberg, Andrew M. Rasmussen, Erica Wheeler, and Adam Shelton