Maksim Ekin Eren

44 papers B 5C 7Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. ICAIL Ryan Calvin Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Matrix Factorization for Inferring Associations and Missing Links. CoRR Ryan Barron, Maksim Ekin Eren, Duc P. Truong, Cynthia Matuszek, James Wendelberger, Mary F. Dorn, Boian S. Alexandrov
2025	B	`conf`	Topic Modeling and Link-Prediction for Material Property Discovery. DocEng Ryan C. Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Topic Modeling and Link-Prediction for Material Property Discovery. CoRR Ryan Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2024	—	`conf`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. HPEC Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	—	`conf`	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024	J	`jnl`	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024	J	`jnl`	Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	—	`conf`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	J	`jnl`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	J	`jnl`	Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	C	`conf`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. ICMLA Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. CoRR 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
2024	J	`jnl`	HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. CoRR 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
2024	C	`conf`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. ICMLA Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. CoRR Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024	B	`conf`	TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. DocEng Selma Wanna, Nicholas Solovyev, Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. CoRR Selma Wanna, Ryan Barron, Nick Solovyev, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
2023	J	`jnl`	Can Feature Engineering Help Quantum Machine Learning for Malware Detection? CoRR Ran Liu, Maksim Ekin Eren, Charles Nicholas
2023	—	`conf`	Electrical Grid Anomaly Detection via Tensor Decomposition. MILCOM Alexander Most, Maksim Ekin Eren, Boian S. Alexandrov, Nigel Lawrence
2023	J	`jnl`	Electrical Grid Anomaly Detection via Tensor Decomposition. CoRR Alexander Most, Maksim Ekin Eren, Nigel Lawrence, Boian S. Alexandrov
2023	J	`jnl`	General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. DTRAP Maksim Ekin Eren, Juston S. Moore, Erik Skau, Elisabeth Moore, Manish Bhattarai, Gopinath Chennupati, Boian S. Alexandrov
2023	C	`conf`	Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. ICMLA Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
2023	J	`jnl`	Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. CoRR Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
2023	C	`conf`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	J	`jnl`	Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2022	—	`conf`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	C	`conf`	One-Shot Federated Group Collaborative Filtering. ICMLA Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	J	`jnl`	SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2022	B	`conf`	SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2021	J	`jnl`	COVID-19 Multidimensional Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
2021	B	`conf`	COVID-19 multidimensional kaggle literature organization. DocEng Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
2021	J	`jnl`	Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
2020	B	`conf`	COVID-19 Kaggle Literature Organization. DocEng Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	J	`jnl`	COVID-19 Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	C	`conf`	Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. ISI Maksim Ekin Eren, Juston S. Moore, Boian S. Alexandrov
2020	J	`jnl`	Project-based learning continues to inspire cybersecurity students: the 2018-2019 SFS research studies at UMBC. Inroads 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