On the Nonlinear Statistics of Optical Flow. - Henry Adams; Johnathan Bush; Brittany Carr; Lara Kassab; Joshua Mirth (CTIC, 2019)

An Adaptation for Iterative Structured Matrix Completion. - Lara Kassab; Henry Adams; Deanna Needell (ACSSC, 2020)

On Nonnegative CP Tensor Decomposition Robustness to Noise. - Jamie Haddock; Lara Kassab; Alona Kryshchenko; Deanna Needell (ITA, 2020)

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. - Miju Ahn; Nicole Eikmeier; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Kathryn Leonard; Deanna Needell; R. W. M. A. Madushani; Elena Sizikova; Chuntian Wang (CoRR, 2020)

An Iterative Method for Structured Matrix Completion. - Henry Adams; Lara Kassab; Deanna Needell (CoRR, 2020)

On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. - Lara Kassab; Alona Kryshchenko; Hanbaek Lyu; Denali Molitor; Deanna Needell; Elizaveta Rebrova (CoRR, 2020)

Semi-supervised NMF Models for Topic Modeling in Learning Tasks. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (CoRR, 2020)

A torus model for optical flow. - Henry Adams; Johnathan Bush; Brittany Carr; Lara Kassab; Joshua Mirth (Pattern Recognit. Lett., 2020)

Semi-supervised Nonnegative Matrix Factorization for Document Classification. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (ACSCC, 2021)

TopTemp: Parsing Precipitate Structure from Temper Topology. - Lara Kassab; Scott Howland; Henry Kvinge; Keerti Sahithi Kappagantula; Tegan Emerson (TAG-ML, 2022)

Automatic Infectious Disease Classification Analysis with Concept Discovery. - Elena Sizikova; Joshua Vendrow; Xu Cao; Rachel Grotheer; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Thomas Merkh; R. W. M. A. Madushani; Kenny Moise; Annie Ulichney; Huy V. Vo; et al. (CoRR, 2022)

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. - Scott Howland; Lara Kassab; Keerti Kappagantula; Henry Kvinge; Tegan Emerson (CoRR, 2023)

Towards a Fairer Non-negative Matrix Factorization. - Lara Kassab; Erin George; Deanna Needell; Haowen Geng; Nika Jafar Nia; Aoxi Li (CoRR, 2024)

Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators. - Alejandra Castillo; Jamie Haddock; Iryna Hartsock; Paulina Hoyos; Lara Kassab; Alona Kryshchenko; Kamila Larripa; Deanna Needell; Shambhavi Suryanarayanan; Karamatou Yacoubou Djima (CoRR, 2024)

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales. - Lara Kassab; Alona Kryshchenko; Hanbaek Lyu; Denali Molitor; Deanna Needell; Elizaveta Rebrova; Jiahong Yuan (Frontiers Appl. Math. Stat., 2024)

Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems. - Alejandra Castillo; Jamie Haddock; Iryna Hartsock; Paulina Hoyos; Lara Kassab; Alona Kryshchenko; Kamila Larripa; Deanna Needell; Shambhavi Suryanarayanan; Karamatou Yacoubou Djima (CoRR, 2025)

Block Gauss-Seidel methods for t-product tensor regression. - Alejandra Castillo; Jamie Haddock; Iryna Hartsock; Paulina Hoyos; Lara Kassab; Alona Kryshchenko; Kamila Larripa; Deanna Needell; Shambhavi Suryanarayanan; Karamatou Yacoubou Djima (CoRR, 2025)