The Utility of Knowledge Transfer for Noisy Data. - Steven Gutstein; Olac Fuentes; Eric Freudenthal (FLAIRS, 2008)

Knowledge Transfer in Deep convolutional Neural Nets. - Steven Gutstein; Olac Fuentes; Eric Freudenthal (Int. J. Artif. Intell. Tools, 2008)

Training to a Neural Net's Inherent Bias. - Steven Gutstein; Olac Fuentes; Eric Freudenthal (FLAIRS, 2009)

Latent learning in deep neural nets. - Steven Gutstein; Olac Fuentes; Eric Freudenthal (IJCNN, 2010)

Work in progress - The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation. - Steven Gutstein; Eric Freudenthal; Ali Jamal-Kamali; Vladik Kreinovich; David Morgenthaler (FIE, 2011)

Latent learning - What your net also learned. - Steven Gutstein; Olac Fuentes; Eric Freudenthal (IJCNN, 2011)

Reduction of catastrophic forgetting with transfer learning and ternary output codes. - Steven Gutstein; Ethan Stump (IJCNN, 2015)

On the Impacts of Noise from Group-Based Label Collection for Visual Classification. - Maggie B. Wigness; Steven Gutstein (ICMLA, 2017)

The effects of output codes on transfer learning in a deep convolutional neural net. - Steven Gutstein; Ethan Stump (IJCNN, 2017)

Pareto Optimal Streaming Unsupervised Classification. - Soumya Basu 001; Steven Gutstein; Brent Lance; Sanjay Shakkottai (ICML, 2019)

Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? - Steven Gutstein; Brent Lance; Sanjay Shakkottai (CoRR, 2021)