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20202026
most citedCOVID-19 Kaggle Literature Organization

11 citations · 34 across the 22 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

Electrical Grid Anomaly Detection via Tensor Decomposition

Alexander Most, Maksim Eren, Nigel Lawrence +1

Supervisory Control and Data Acquisition (SCADA) systems often serve as the nervous system for substations within power grids. These systems facilitate real-time monitoring, data a…

cs.IR2023

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers

Nicholas Solovyev, Ryan Barron, Manish Bhattarai +3

Highly specific datasets of scientific literature are important for both research and education. However, it is difficult to build such datasets at scale. A common approach is to b…

cs.CR2023

Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection

Maksim E. Eren, Manish Bhattarai, Robert J. Joyce +3

Identification of the family to which a malware specimen belongs is essential in understanding the behavior of the malware and developing mitigation strategies. Solutions proposed…

cs.CR2023

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware

Maksim E. Eren, Manish Bhattarai, Kim Rasmussen +2

Malware is one of the most dangerous and costly cyber threats to national security and a crucial factor in modern cyber-space. However, the adoption of machine learning (ML) based…

cs.LG2023★ 1 cited

Can Feature Engineering Help Quantum Machine Learning for Malware Detection?

Ran Liu, Maksim Eren, Charles Nicholas

With the increasing number and sophistication of malware attacks, malware detection systems based on machine learning (ML) grow in importance. At the same time, many popular ML mod…