Michael Guerzhoy

Orcid: 0000-0003-1856-6742

According to our database1, Michael Guerzhoy authored at least 27 papers between 2008 and 2024.

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Bibliography

2024
Occam's Razor and Bender and Koller's Octopus.
CoRR, 2024

Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent.
CoRR, 2024

Predicting User Perception of Move Brilliance in Chess.
CoRR, 2024

Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data.
CoRR, 2024

Breaking Symmetry When Training Transformers.
CoRR, 2024

Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency.
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.
AI Matters, June, 2023

Boosting Local Spectro-Temporal Features for Speech Analysis.
CoRR, 2023

"Medium-n studies" in computing education conferences.
Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

How do ConvNets Understand Image Intensity?
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.
AI Matters, 2022

2021
Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Random Forests for Opponent Hand Estimation in Gin Rummy.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Salient Facial Features from Humans and Deep Neural Networks.
CoRR, 2020

Auditing the COMPAS Recidivism Risk Assessment Tool: Predictive Modelling and Algorithmic Fairness in CS1.
Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020


2019
AI education matters: building a fake news detector.
AI Matters, 2019

Introduction to Data Science as a Pathway to Further Study in Computing.
Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019


2018
AI education matters: teaching with deep learning frameworks in introductory machine learning courses.
AI Matters, 2018

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

Model AI Assignments 2018.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Automatic Photo Orientation Detection with Convolutional Neural Networks.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2014
Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis.
Proceedings of the Advances in Artificial Intelligence, 2014

2008
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image.
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008


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