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Computers in Biology and Medicine
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January 7, 2023
Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Physical Chemistry Chemical Physics : PCCP
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January 5, 2026
Predicting protein-nucleic acid flexibility using persistent sheaf Laplacians
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Arxiv
|
November 24, 2025
Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Arxiv
|
July 1, 2024
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Applied Intelligence (Dordrecht, Netherlands)
|
November 30, 2023
Multiscale Laplacian Learning
Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei
Machine Learning
|
September 25, 2025
Persistent Laplacian-enhanced algorithm for scarcely labeled data classification
Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
Journal of Computational Biophysics and Chemistry
|
September 29, 2025
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
The Journal of Physical Chemistry. B
|
April 22, 2025
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
The Journal of Physical Chemistry. B
|
June 6, 2025
Correction to "Persistent Sheaf Laplacian Analysis of Protein Flexibility"
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
Arxiv
|
February 24, 2025
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Computers in Biology and Medicine
|
January 7, 2023
Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Physical Chemistry Chemical Physics : PCCP
|
January 5, 2026
Predicting protein-nucleic acid flexibility using persistent sheaf Laplacians
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Arxiv
|
November 24, 2025
Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Arxiv
|
July 1, 2024
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Applied Intelligence (Dordrecht, Netherlands)
|
November 30, 2023
Multiscale Laplacian Learning
Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei
Machine Learning
|
September 25, 2025
Persistent Laplacian-enhanced algorithm for scarcely labeled data classification
Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
Journal of Computational Biophysics and Chemistry
|
September 29, 2025
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
The Journal of Physical Chemistry. B
|
April 22, 2025
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
The Journal of Physical Chemistry. B
|
June 6, 2025
Correction to "Persistent Sheaf Laplacian Analysis of Protein Flexibility"
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
Arxiv
|
February 24, 2025
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng, et al.
Page
of 2