Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image. - Michael Guerzhoy; Hui Zhou (CRV, 2008)

Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis. - Michael Guerzhoy; Aaron Hertzmann (Canadian AI, 2014)

Automatic Photo Orientation Detection with Convolutional Neural Networks. - Ujash Joshi; Michael Guerzhoy (CRV, 2017)

Nifty Assignments. - Nick Parlante; Julie Zelenski; Dave Feinberg; Kunal Mishra; Josh Hug; Kevin Wayne; Michael Guerzhoy; Jackie Chi Kit Cheung; François Pitt (SIGCSE, 2017)

Model AI Assignments 2018. - Todd W. Neller; Zack Butler 001; Nate Derbinsky; Heidi Furey; Fred Martin; Michael Guerzhoy; Ariel Anders; Joshua Eckroth (AAAI, 2018)

Nifty Assignments. - Nick Parlante; Julie Zelenski; Ben Stephenson; Ali Malik; Phil Ventura; Michael Guerzhoy; David Reed 001; Josh Hug (SIGCSE, 2018)

AI education matters: teaching with deep learning frameworks in introductory machine learning courses. - Michael Guerzhoy (AI Matters, 2018)

Model AI Assignments 2019. - Todd W. Neller; Raja Sooriamurthi; Michael Guerzhoy; Lisa Zhang; Paul G. Talaga; Christopher Archibald; Adam Summerville; Joseph C. Osborn; Cinjon Resnick; Avital Oliver; Surya Bhupatiraju; Kumar Krishna Agrawal; et al. (AAAI, 2019)

Introduction to Data Science as a Pathway to Further Study in Computing. - Michael Guerzhoy (ICER, 2019)

AI education matters: building a fake news detector. - Michael Guerzhoy; Lisa Zhang; Georgy Noarov (AI Matters, 2019)

Model AI Assignments 2020. - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li 001; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (AAAI, 2020)

Auditing the COMPAS Recidivism Risk Assessment Tool: Predictive Modelling and Algorithmic Fairness in CS1. - Claire S. Lee; Jeremy Du; Michael Guerzhoy (ITiCSE, 2020)

Salient Facial Features from Humans and Deep Neural Networks. - Shanmeng Sun; Wei Zhen Teoh; Michael Guerzhoy (CoRR, 2020)

Random Forests for Opponent Hand Estimation in Gin Rummy. - Anthony Hein; May Jiang; Vydhourie Thiyageswaran; Michael Guerzhoy (AAAI, 2021)

Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students. - Tabitha Belshee; Adam Chang; Nebil Ibrahim; Mikako Inaba; Nikoo Karbassi; Angelo Kayser-Browne; Hye Jee Kim; Rachel Kim; Seung Jae Lee 001; Natalia Orlovsky; Michael Guerzhoy (SIGCSE, 2021)

EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. - Michael Guerzhoy; Marion Neumann; Emmanuel Johnson; David Johnson 006; Henry Chai; Daniel Garijo; Zhuoyue Lyu; Christopher J. MacLellan (AI Matters, 2022)

How do ConvNets Understand Image Intensity? - Jackson Kaunismaa; Michael Guerzhoy (Tiny Papers @ ICLR, 2023)

"Medium-n studies" in computing education conferences. - Michael Guerzhoy (Koli Calling, 2023)

Boosting Local Spectro-Temporal Features for Speech Analysis. - Michael Guerzhoy (CoRR, 2023)

EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. - Michael Guerzhoy; Marion Neumann; Pat Virtue; Carolyn Jane Anderson; Yaman Kumar Singla; Alexi Orchard; Rajiv Ratn Shah (AI Matters, 2023)

Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency. - 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; et al. (ML4CMH@AAAI, 2024)

Predicting User Perception of Move Brilliance in Chess. - Kamron Zaidi; Michael Guerzhoy (ICCC, 2024)

Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space. - Sayed Sajad Hashemi; Michael Guerzhoy; Noah H. Paulson (Tiny Papers @ ICLR, 2024)

Breaking Symmetry When Training Transformers. - Chunsheng Zuo; Michael Guerzhoy (CoRR, 2024)

Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data. - Claire S. Lee; Noelle Lim; Michael Guerzhoy (CoRR, 2024)

Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent. - Amy Saranchuk; Michael Guerzhoy (CoRR, 2024)

Occam's Razor and Bender and Koller's Octopus. - Michael Guerzhoy (CoRR, 2024)

Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis. - Juho Kim; Michael Guerzhoy (CoRR, 2024)

Barriers to Complexity-Theoretic Proofs that Achieving AGI Using Machine Learning is Intractable. - Michael Guerzhoy (CoRR, 2024)

Semantic, Orthographic, and Morphological Biases in Humans' Wordle Gameplay. - Gary Liang; Adam Kabbara; Cindy Liu; Ronaldo Luo; Kina Kim; Michael Guerzhoy (CoRR, 2024)

Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs. - Kexin Chen; Noelle Lim; Claire S. Lee; Michael Guerzhoy (CoRR, 2024)

Position Information Emerges in Causal Transformers Without Positional Encodings via Similarity of Nearby Embeddings. - Chunsheng Zuo; Pavel Guerzhoy; Michael Guerzhoy (COLING, 2025)

Getting Used to Pointers with Pointer Drills. - Michael Guerzhoy (ITiCSE (2), 2025)

Automatically Detecting Amusing Games in Wordle. - Ronaldo Luo; Gary Liang; Cindy Liu; Adam Kabbara; Minahil Bakhtawar; Kina Kim; Michael Guerzhoy (CoRR, 2025)