Maksim Ekin Eren

Orcid: 0000-0002-4362-0256

According to our database1, Maksim Ekin Eren authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Distributed out-of-memory NMF on CPU/GPU architectures.
J. Supercomput., February, 2024

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.
CoRR, 2024

2023
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.
ACM Trans. Priv. Secur., November, 2023

Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
CoRR, 2023

Electrical Grid Anomaly Detection via Tensor Decomposition.
Proceedings of the IEEE Military Communications Conference, 2023

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation.
CoRR, 2022

Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data.
CoRR, 2022

One-Shot Federated Group Collaborative Filtering.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Distributed Out-of-Memory SVD on CPU/GPU Architectures.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2021
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery.
CoRR, 2021

COVID-19 multidimensional kaggle literature organization.
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2020
Project-based learning continues to inspire cybersecurity students: the 2018-2019 SFS research studies at UMBC.
Inroads, 2020

Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

COVID-19 Kaggle Literature Organization.
Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020


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