Michael Guerzhoy

According to our database, Michael Guerzhoy authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space.

Sayed Sajad Hashemi, Michael Guerzhoy, Noah H. Paulson

CoRR, 2024

Breaking Symmetry When Training Transformers.

Chunsheng Zuo, Michael Guerzhoy

CoRR, 2024

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, Lauren Altomare, Heraa Murqi, Asad Khan, Nimit Amikumar Bhanshali, Youssef Rachad, Michael Guerzhoy

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

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, June, 2023

Boosting Local Spectro-Temporal Features for Speech Analysis.

Michael Guerzhoy

CoRR, 2023

"Medium-n studies" in computing education conferences.

Michael Guerzhoy

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

How do ConvNets Understand Image Intensity?

Jackson Kaunismaa, Michael Guerzhoy

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

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, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan

AI Matters, 2022

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, Natalia Orlovsky, Michael Guerzhoy

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Random Forests for Opponent Hand Estimation in Gin Rummy.

Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Salient Facial Features from Humans and Deep Neural Networks.

Shanmeng Sun, Wei Zhen Teoh, Michael Guerzhoy

CoRR, 2020

Auditing the COMPAS Recidivism Risk Assessment Tool: Predictive Modelling and Algorithmic Fairness in CS1.

Claire S. Lee, Jeremy Du, Michael Guerzhoy

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Model AI Assignments 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

AI education matters: building a fake news detector.

Michael Guerzhoy, Lisa Zhang, Georgy Noarov

AI Matters, 2019

Introduction to Data Science as a Pathway to Further Study in Computing.

Michael Guerzhoy

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Model AI Assignments 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

AI education matters: teaching with deep learning frameworks in introductory machine learning courses.

Michael Guerzhoy

AI Matters, 2018

Nifty Assignments.

Nick Parlante, Julie Zelenski, Ben Stephenson, Ali Malik, Phil Ventura, Michael Guerzhoy, David Reed, Josh Hug

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Model AI Assignments 2018.

Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Nifty Assignments.

Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, Jackie Chi Kit Cheung, François Pitt

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Automatic Photo Orientation Detection with Convolutional Neural Networks.

Ujash Joshi, Michael Guerzhoy

Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2014

Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis.

Michael Guerzhoy, Aaron Hertzmann

Proceedings of the Advances in Artificial Intelligence, 2014

2008

Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image.

Michael Guerzhoy, Hui Zhou

Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008