Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off. - Nicholas Pellegrino; David Szczecina; Paul W. Fieguth (CoRR, 2025)

Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development. - David Szczecina; Senan Gaffori; Edmond Li (CoRR, 2025)

Effects of Initialization Biases on Deep Neural Network Training Dynamics. - Nicholas Pellegrino; David Szczecina; Paul W. Fieguth (CoRR, 2025)

Pre-train to Gain: Robust Learning Without Clean Labels. - David Szczecina; Nicholas Pellegrino; Paul W. Fieguth (CoRR, 2025)

Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images. - David Szczecina; Hudson Sun; Anthony Bertnyk; Niloofar Azad; Kyle Gao; Lincoln Linlin Xu (CoRR, 2026)