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ORCIDMaksim Ekin Eren
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2020 – today
- 2024
[j5]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80(3): 3970-3999 (2024)- [j4]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80(4): 5731-5732 (2024) - [c12]Selma Wanna
, Nicholas Solovyev, Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov:
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. DocEng 2024: 8:1-8:4 - [c11]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS 2024: 1-6 - [c10]Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alcxandrov, Charles Nicholas:
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS 2024: 1-6 - [i19]Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR abs/2403.02546 (2024) - [i18]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR abs/2403.16222 (2024) - [i17]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov:
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR abs/2407.19125 (2024) - [i16]Selma Wanna, Ryan Barron, Nick Solovyev, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov:
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. CoRR abs/2407.19616 (2024) - [i15]Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai:
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. CoRR abs/2408.01008 (2024) - [i14]Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov:
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. CoRR abs/2410.02721 (2024) - [i13]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:
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. CoRR abs/2412.04661 (2024) - 2023
- [j3]Maksim Ekin Eren, Juston S. Moore, Erik Skau, Elisabeth Moore, Manish Bhattarai, Gopinath Chennupati, Boian S. Alexandrov:
General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. DTRAP 4(1): 6:1-6:28 (2023) - [j2]Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov:
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26(4): 48:1-48:27 (2023) - [c9]Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov:
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. ICMLA 2023: 1000-1005 - [c8]Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI 2023: 1-3 - [c7]Alexander Most, Maksim Ekin Eren, Boian S. Alexandrov, Nigel Lawrence:
Electrical Grid Anomaly Detection via Tensor Decomposition. MILCOM 2023: 162-169 - [i12]Ran Liu, Maksim Ekin Eren, Charles Nicholas:
Can Feature Engineering Help Quantum Machine Learning for Malware Detection? CoRR abs/2305.02396 (2023) - [i11]Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR abs/2309.01350 (2023) - [i10]Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov:
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR abs/2309.06643 (2023) - [i9]Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov:
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. CoRR abs/2309.10772 (2023) - [i8]Alexander Most, Maksim Ekin Eren, Nigel Lawrence, Boian S. Alexandrov:
Electrical Grid Anomaly Detection via Tensor Decomposition. CoRR abs/2310.08650 (2023) - 2022
- [c6]Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov:
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng 2022: 10:1-10:4 - [c5]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC 2022: 1-8 - [c4]Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
One-Shot Federated Group Collaborative Filtering. ICMLA 2022: 647-652 - [i7]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR abs/2202.09518 (2022) - [i6]Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR abs/2205.02359 (2022) - [i5]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR abs/2208.08410 (2022) - [i4]Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov:
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR abs/2208.09942 (2022) - 2021
- [c3]Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas:
COVID-19 multidimensional kaggle literature organization. DocEng 2021: 33:1-33:4 - [i3]John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas:
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR abs/2106.07860 (2021) - [i2]Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas:
COVID-19 Multidimensional Kaggle Literature Organization. CoRR abs/2107.08190 (2021) - 2020
- [j1]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, 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:
Project-based learning continues to inspire cybersecurity students: the 2018-2019 SFS research studies at UMBC. Inroads 11(2): 46-54 (2020) - [c2]Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson:
COVID-19 Kaggle Literature Organization. DocEng 2020: 15:1-15:4 - [c1]Maksim Ekin Eren, Juston S. Moore, Boian S. Alexandrov:
Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. ISI 2020: 1-6 - [i1]Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson:
COVID-19 Kaggle Literature Organization. CoRR abs/2008.13542 (2020)
Coauthor Index
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