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09/19/2023
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
Highly specific datasets of scientific literature are important for both...
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09/12/2023
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection
Identification of the family to which a malware specimen belongs is esse...
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09/06/2023
Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation
Tensor network techniques, known for their low-rank approximation abilit...
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09/04/2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
Malware is one of the most dangerous and costly cyber threats to nationa...
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08/21/2022
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection
As the amount of text data continues to grow, topic modeling is serving ...
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08/17/2022
Distributed Out-of-Memory SVD on CPU/GPU Architectures
We propose an efficient, distributed, out-of-memory implementation of th...
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05/04/2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Non-negative matrix factorization (NMF) with missing-value completion is...
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12/01/2021
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization
We utilize a recently developed topic modeling method called SeNMFk, ext...
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07/17/2021
COVID-19 Multidimensional Kaggle Literature Organization
The unprecedented outbreak of Severe Acute Respiratory Syndrome Coronavi...
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10/05/2020
Identification of Anomalous Diffusion Sources by Unsupervised Learning
Fractional Brownian motion (fBm) is a ubiquitous diffusion process in wh...
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06/22/2020
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization
Non-negative Matrix Factorization (NMF) has proven to be a powerful unsu...
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02/29/2020
Determination of Latent Dimensionality in International Trade Flow
Currently, high-dimensional data is ubiquitous in data science, which ne...
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02/20/2018
Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering
Analyzing large X-ray diffraction (XRD) datasets is a key step in high-t...
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04/05/2017
