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ORCIDMichael Guerzhoy
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2020 – today
- 2024
[c16]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: 118-127- [c15]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 - [i12]Chunsheng Zuo, Michael Guerzhoy:
Breaking Symmetry When Training Transformers. CoRR abs/2402.05969 (2024) - [i11]Sayed Sajad Hashemi, Michael Guerzhoy, Noah H. Paulson:
Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space. CoRR abs/2402.11103 (2024) - [i10]Claire S. Lee, Noelle Lim, Michael Guerzhoy:
Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data. CoRR abs/2403.05561 (2024) - [i9]Kamron Zaidi, Michael Guerzhoy:
Predicting User Perception of Move Brilliance in Chess. CoRR abs/2406.11895 (2024) - [i8]Amy Saranchuk, Michael Guerzhoy:
Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent. CoRR abs/2407.05218 (2024) - [i7]Michael Guerzhoy:
Occam's Razor and Bender and Koller's Octopus. CoRR abs/2407.21070 (2024) - 2023
- [j4]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): 24-29 (2023) - [c14]Jackson Kaunismaa, Michael Guerzhoy:
How do ConvNets Understand Image Intensity? Tiny Papers @ ICLR 2023 - [c13]Michael Guerzhoy
:
"Medium-n studies" in computing education conferences. Koli Calling 2023: 50:1-50:2 - [i6]Michael Guerzhoy:
Boosting Local Spectro-Temporal Features for Speech Analysis. CoRR abs/2305.10270 (2023) - [i5]Ujash Joshi, Michael Guerzhoy:
Automatic Photo Orientation Detection with Convolutional Neural Networks. CoRR abs/2305.10319 (2023) - [i4]Jackson Kaunismaa, Michael Guerzhoy:
How Do ConvNets Understand Image Intensity? CoRR abs/2306.00360 (2023) - [i3]Michael Guerzhoy:
"Medium-n studies" in computing education conferences. CoRR abs/2311.14679 (2023) - [i2]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 abs/2312.11509 (2023) - 2022
- [j3]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): 16-21 (2022) - 2021
- [c12]Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy:
Random Forests for Opponent Hand Estimation in Gin Rummy. AAAI 2021: 15545-15550 - [c11]Tabitha Belshee, Adam Chang, Nebil Ibrahim, Mikako Inaba, Nikoo Karbassi, Angelo Kayser-Browne, Hye Jee Kim, Rachel Kim, Seung Jae Lee, Natalia Orlovsky, Michael Guerzhoy:
Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students. SIGCSE 2021: 1280 - 2020
- [c10]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: 13509-13511 - [c9]Claire S. Lee, Jeremy Du, Michael Guerzhoy:
Auditing the COMPAS Recidivism Risk Assessment Tool: Predictive Modelling and Algorithmic Fairness in CS1. ITiCSE 2020: 535-536 - [i1]Shanmeng Sun, Wei Zhen Teoh, Michael Guerzhoy:
Salient Facial Features from Humans and Deep Neural Networks. CoRR abs/2003.08765 (2020)
2010 – 2019
- 2019
- [j2]Michael Guerzhoy, Lisa Zhang, Georgy Noarov:
AI education matters: building a fake news detector. AI Matters 5(3): 18-20 (2019) - [c8]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: 9751-9753 - [c7]Michael Guerzhoy:
Introduction to Data Science as a Pathway to Further Study in Computing. ICER 2019: 303 - 2018
- [j1]Michael Guerzhoy:
AI education matters: teaching with deep learning frameworks in introductory machine learning courses. AI Matters 4(3): 14-15 (2018) - [c6]Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth:
Model AI Assignments 2018. AAAI 2018: 7959-7961 - [c5]Nick Parlante, Julie Zelenski, Ben Stephenson, Ali Malik, Phil Ventura, Michael Guerzhoy, David Reed, Josh Hug:
Nifty Assignments. SIGCSE 2018: 912-913 - 2017
- [c4]Ujash Joshi, Michael Guerzhoy:
Automatic Photo Orientation Detection with Convolutional Neural Networks. CRV 2017: 103-108 - [c3]Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, Jackie Chi Kit Cheung, François Pitt:
Nifty Assignments. SIGCSE 2017: 695-696 - 2014
- [c2]Michael Guerzhoy, Aaron Hertzmann:
Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis. Canadian AI 2014: 131-142
2000 – 2009
Coauthor Index
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