Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions. - Christopher J. Hazard; Christopher Fusting; Michael Resnick; Michael Auerbach; Michael Meehan; Valeri Korobov (CoRR, 2019)

Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning. - Amartya Banerjee; Christopher J. Hazard; Jacob Beel; Cade Mack; Jack Xia; Michael Resnick; Will Goddin (CoRR, 2023)