Publications

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

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

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Maksim E. Eren, Juston S. Moore, Erik Skau, Elisabeth Moore, Manish Bhattarai, Gopinath Chennupati, Boian S. Alexandrov (2022). General-Purpose Unsupervised Cyber Anomaly Detection via Non-Negative Tensor Factorization. In ACM Digital Threats Research and Practice (DTRAP) Journal, 2022.

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Maksim E. Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas (2021). COVID-19 Multidimensional Kaggle Literature Organization. In ACM Symposium on Document Engineering 2021 (DocEng ’21), 2021.

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Maksim E. Eren, Charles Nicholas, Renee McDonald, Chris Hamer (2021). Random Forest of Tensors (RFoT). Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

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John Boutsikas, Maksim E. Eren, Charles Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas (2021). Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

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Maksim E. Eren, Juston S. Moore, Boian S. Alexandrov (2020). Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. In IEEE International Conference on Intelligence and Security Informatics (ISI), 2020.

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Maksim E. Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson (2020). COVID-19 Kaggle Literature Organization. In ACM Symposium on Document Engineering 2020 (DocEng ’20), 2020.

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Enis Golaszewski, Alan T. Sherman, Linda Oliva, Peter A. H. Peterson, Michael R. Bailey, Scott Bohon, Cyrus Bonyadi, Casey Borror, Ryan Coleman, Johannah Flenner, Elias Enamorado, Maksim E. Eren, Mohammad Khan, Emmanuel Larbi, Kyle Marshall, William Morgan, Lauren Mundy, Gabriel Onana, Selma Gomez Orr, Lauren Parker, Caleb Pinkney, Mykah Rather, Jimmy Rodriguez, Bryan Solis, Wubnyonga Tete, Tsigereda B. Tsega, Edwin Valdez, Charles K. Varga, Brian Weber, Ryan Wnuk-Fink, Armand Yonkeu, Lindsay Zetlmeisl, Damian Doyle, Casey O'Brien, Joseph Roundy, Jack Suess (2020). Project-based learning continues to inspire cybersecurity students: the 2018--2019 SFS research studies at UMBC. In Association for Computing Machinery (ACM), 2020.

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