COVID-19 Kaggle Literature Organization. - Maksim Ekin Eren; Nick Solovyev 001; Edward Raff; Charles Nicholas; Ben Johnson (DocEng, 2020)

Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Boian S. Alexandrov (ISI, 2020)

Project-based learning continues to inspire cybersecurity students: the 2018-2019 SFS research studies at UMBC. - Enis Golaszewski; Alan T. Sherman; Linda Oliva; Peter A. H. Peterson; Michael R. Bailey; Scott Bohon; Cyrus J. Bonyadi; Casey Borror; Ryan Coleman; Johannah Flenner; Elias Enamorado; Maksim Ekin Eren; et al. (Inroads, 2020)

COVID-19 multidimensional kaggle literature organization. - Maksim Ekin Eren; Nick Solovyev 001; Chris Hamer; Renee McDonald; Boian S. Alexandrov; Charles Nicholas (DocEng, 2021)

Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. - John Boutsikas; Maksim Ekin Eren; Charles K. Varga; Edward Raff; Cynthia Matuszek; Charles Nicholas (CoRR, 2021)

SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. - Maksim Ekin Eren; Nick Solovyev 001; Manish Bhattarai; Kim Ø. Rasmussen; Charles Nicholas; Boian S. Alexandrov (DocEng, 2022)

Distributed Out-of-Memory SVD on CPU/GPU Architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Nick Solovyev 001; Hristo N. Djidjev; Boian S. Alexandrov (HPEC, 2022)

One-Shot Federated Group Collaborative Filtering. - Maksim Ekin Eren; Manish Bhattarai; Nicholas Solovyev 001; Luke E. Richards; Roberto Yus; Charles Nicholas; Boian S. Alexandrov (ICMLA, 2022)

Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (CoRR, 2022)

FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. - Maksim Ekin Eren; Luke E. Richards; Manish Bhattarai; Roberto Yus; Charles Nicholas; Boian S. Alexandrov (CoRR, 2022)

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. - Nicholas Solovyev 001; Ryan Barron; Manish Bhattarai; Maksim Ekin Eren; Kim Ø. Rasmussen; Boian S. Alexandrov (ICMLA, 2023)

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. - Maksim Ekin Eren; Manish Bhattarai; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas (ISI, 2023)

Electrical Grid Anomaly Detection via Tensor Decomposition. - Alexander Most; Maksim Ekin Eren; Boian S. Alexandrov; Nigel Lawrence (MILCOM, 2023)

Can Feature Engineering Help Quantum Machine Learning for Malware Detection? - Ran Liu; Maksim Ekin Eren; Charles Nicholas (CoRR, 2023)

General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Erik Skau; Elisabeth Moore; Manish Bhattarai; Gopinath Chennupati; Boian S. Alexandrov (DTRAP, 2023)

Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. - Maksim Ekin Eren; Manish Bhattarai; Robert J. Joyce; Edward Raff; Charles Nicholas; Boian S. Alexandrov (ACM Trans. Priv. Secur., 2023)

TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. - Selma Wanna; Nicholas Solovyev 001; Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Kim Ø. Rasmussen; Boian S. Alexandrov (DocEng, 2024)

Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. - Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Ismael Boureima; Cynthia Matuszek; Boian S. Alexandrov (HPEC, 2024)

Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. - Afia Anjum; Maksim Ekin Eren; Ismael Boureima; Boian S. Alexandrov; Manish Bhattarai (ICMLA, 2024)

Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. - Ryan Barron; Ves Grantcharov; Selma Wanna; Maksim Ekin Eren; Manish Bhattarai; Nicholas Solovyev 001; George Tompkins; Charles Nicholas; Kim Ø. Rasmussen; Cynthia Matuszek; Boian S. Alexandrov (ICMLA, 2024)

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. - Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Selma Wanna; Nick Solovyev 001; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas; Cynthia Matuszek (ISDFS, 2024)

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. - Maksim Ekin Eren; Ryan Barron; Manish Bhattarai; Selma Wanna; Nicholas Solovyev 001; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas (ISDFS, 2024)

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. - Manish Bhattarai; Ryan Barron; Maksim Ekin Eren; Minh Vu; Ves Grantcharov; Ismael Boureima; Valentin G. Stanev; Cynthia Matuszek; Vladimir I. Valtchinov; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2024)

Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. - Ryan Barron; Maksim Ekin Eren; Olga M. Serafimova; Cynthia Matuszek; Boian S. Alexandrov (CoRR, 2025)

Matrix Factorization for Inferring Associations and Missing Links. - Ryan Barron; Maksim Ekin Eren; Duc P. Truong; Cynthia Matuszek; James Wendelberger; Mary F. Dorn; Boian S. Alexandrov (CoRR, 2025)

Topic Modeling and Link-Prediction for Material Property Discovery. - Ryan Barron; Maksim Ekin Eren; Valentin G. Stanev; Cynthia Matuszek; Boian S. Alexandrov (CoRR, 2025)