Michael Guerzhoy

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 30

Top Topics

Image Intensity

Convolutional Neural Networks

Top Venues

Publications

Amy Saranchuk, Michael Guerzhoy
Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent. CoRR (2024)
Pavlos Constas, Vikram Rawal, Matthew Honorio Oliveira, Andreas Constas, Aditya Khan, Kaison Cheung, Najma Sultani, Carrie Chen, Micol Altomare, Michael Akzam, Jiacheng Chen, Vhea He, Lauren Altomare, Heraa Murqi, Asad Khan, Nimit Amikumar Bhanshali, Youssef Rachad, Michael Guerzhoy
Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency. ML4CMH@AAAI (2024)
Sayed Sajad Hashemi, Michael Guerzhoy, Noah H. Paulson
Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space. CoRR (2024)
Chunsheng Zuo, Michael Guerzhoy
Breaking Symmetry When Training Transformers. CoRR (2024)
Michael Guerzhoy
Occam's Razor and Bender and Koller's Octopus. CoRR (2024)
Kamron Zaidi, Michael Guerzhoy
Predicting User Perception of Move Brilliance in Chess. CoRR (2024)
Claire S. Lee, Noelle Lim, Michael Guerzhoy
Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data. CoRR (2024)
Sayed Sajad Hashemi, Michael Guerzhoy, Noah H. Paulson
Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space. Tiny Papers @ ICLR (2024)
Michael Guerzhoy
"Medium-n studies" in computing education conferences. Koli Calling (2023)
Michael Guerzhoy, Ujash Joshi
Automatic Photo Orientation Detection with Convolutional Neural Networks. CoRR (2023)
Michael Guerzhoy
Boosting Local Spectro-Temporal Features for Speech Analysis. CoRR (2023)
Pavlos Constas, Vikram Rawal, Matthew Honorio Oliveira, Andreas Constas, Aditya Khan, Kaison Cheung, Najma Sultani, Carrie Chen, Micol Altomare, Michael Akzam, Jiacheng Chen, Vhea He, Lauren Altomare, Heraa Murqi, Asad Khan, Nimit Amikumar Bhanshali, Youssef Rachad, Michael Guerzhoy
Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency. CoRR (2023)
Michael Guerzhoy
"Medium-n studies" in computing education conferences. CoRR (2023)
Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman Kumar Singla, Alexi Orchard, Rajiv Ratn Shah
EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 9 (2) (2023)
Jackson Kaunismaa, Michael Guerzhoy
How Do ConvNets Understand Image Intensity? CoRR (2023)
Jackson Kaunismaa, Michael Guerzhoy
How do ConvNets Understand Image Intensity? Tiny Papers @ ICLR (2023)
Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan
EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 8 (2) (2022)
Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy
Random Forests for Opponent Hand Estimation in Gin Rummy. AAAI (2021)
Tabitha Belshee, Adam Chang, Nebil Ibrahim, Mikako Inaba, Nikoo Karbassi, Angelo Kayser-Browne, Hye Jee Kim, Rachel Kim, Seungjae Ryan Lee, Natalia Orlovsky, Michael Guerzhoy
Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students. SIGCSE (2021)
Claire S. Lee, Jeremy Du, Michael Guerzhoy
Auditing the COMPAS Recidivism Risk Assessment Tool: Predictive Modelling and Algorithmic Fairness in CS1. ITiCSE (2020)
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett
Model AI Assignments 2020. AAAI (2020)
Shanmeng Sun, Wei Zhen Teoh, Michael Guerzhoy
Salient Facial Features from Humans and Deep Neural Networks. CoRR (2020)
Michael Guerzhoy, Lisa Zhang, Georgy Noarov
AI education matters: building a fake news detector. AI Matters 5 (3) (2019)
Michael Guerzhoy
Introduction to Data Science as a Pathway to Further Study in Computing. ICER (2019)
Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist
Model AI Assignments 2019. AAAI (2019)
Michael Guerzhoy
AI education matters: teaching with deep learning frameworks in introductory machine learning courses. AI Matters 4 (3) (2018)
Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth
Model AI Assignments 2018. AAAI (2018)
Nick Parlante, Julie Zelenski, Ben Stephenson, Ali Malik, Phil Ventura, Michael Guerzhoy, David Reed, Josh Hug
Nifty Assignments. SIGCSE (2018)
Ujash Joshi, Michael Guerzhoy
Automatic Photo Orientation Detection with Convolutional Neural Networks. CRV (2017)
Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, Jackie Chi Kit Cheung, François Pitt
Nifty Assignments. SIGCSE (2017)
Michael Guerzhoy, Aaron Hertzmann
Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis. Canadian Conference on AI (2014)
Michael Guerzhoy, Hui Zhou
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image. CRV (2008)