Selected Publications
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Journal & conference publications
2026
Towards a Fairer Non-negative Matrix Factorization
L. Kassab, E. George, H. Geng, N. Nia, A. Li, D. Needell
Frontiers in Big Data, 9, 1737043
2025
Block Gauss–Seidel methods for t-product tensor regression
A. Castillo, J. Haddock, I. Hartsock, P. Hoyos, L. Kassab, A. Kryshchenko, K. R. Larripa, D. Needell, S. Suryanarayanan, K. Yacoubou-Djima
Numerical Algorithms, 1–33
2025
Randomized Kaczmarz Methods for t-product Tensor Linear Systems with Factorized Operators
A. Castillo, J. Haddock, I. Hartsock, P. Hoyos, L. Kassab, A. Kryshchenko, K. R. Larripa, D. Needell, S. Suryanarayanan, K. Yacoubou-Djima
BIT Numerical Mathematics, 65(3), 1–42
2025
Randomized Iterative Methods for Tensor Regression Under the t-product
A. Castillo, J. Haddock, I. Hartsock, P. Hoyos, L. Kassab, A. Kryshchenko, K. R. Larripa, D. Needell, S. Suryanarayanan, K. Yacoubou-Djima
Advances in Data Science, 3–38
2024
Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons
B. Jarman, L. Kassab, D. Needell, A. Sietsema
BIT Numerical Mathematics, 64(3), 26
2024
Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales
L. Kassab, A. Kryshchenko, H. Lyu, D. Molitor, D. Needell, E. Rebrova, J. Yuan
Frontiers in Applied Mathematics and Statistics, 10, 1287074
2024
Towards Understanding Neurological Manifestations of Lyme Disease through a Machine Learning Approach with Patient Registry Data
L. Johnson, L. Kassab, J. Liu, D. Needell, M. Shapiro
PharmaSUG · SESUG (updated registry data)
2023
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing
S. Howland, L. Kassab, K. Kappagantula, H. Kvinge, T. Emerson
Integrating Materials and Manufacturing Innovation, 12(1), 1–10
2022
Interpretability of Automatic Infectious Disease Classification Analysis with Concept Discovery
E. Sizikova, J. Vendrow, X. Cao, R. Grotheer, J. Haddock, L. Kassab, A. Kryshchenko, T. Merkh, R. W. M. A. Madushani, K. Moise, A. Ulichney, H. V. Vo, C. Wang, M. Coffee, K. Leonard, D. Needell
Machine Learning for Health (ML4H)
2022
TopTemp: Parsing Precipitate Structure from Temper Topology
L. Kassab, S. Howland, H. Kvinge, K. Sahithi Kappagantula, T. Emerson
ICLR Workshop on Geometrical and Topological Representation Learning
2021
Semi-supervised Nonnegative Matrix Factorization for Document Classification
J. Haddock, L. Kassab, S. Li, A. Kryshchenko, R. Grotheer, E. Sizikova, C. Wang, T. Merkh, R. W. M. A. Madushani, M. Ahn, D. Needell, K. Leonard
55th Asilomar Conf. on Signals, Systems & Computers
2021
An Adaptation for Iterative Structured Matrix Completion
H. Adams, L. Kassab, D. Needell
Foundations of Data Science, 3:769–791 · 54th Asilomar Conf.
2020
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, C. Wang
Advances in Data Science, AWM–Springer series
2020
Multidimensional Scaling on Metric Measure Spaces
H. Adams, M. Blumstein, L. Kassab
Rocky Mountain Journal of Mathematics, 50:397–413
2020
A torus model for optical flow
H. Adams, J. Bush, B. Carr, L. Kassab, J. Mirth
Pattern Recognition Letters, 129:304–310 · CTIC (LNCS 11382)