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The Journal of the Acoustical Society of America
|
March 26, 2021
An objective measure of quality for time-scale modification of audio
Timothy Roberts, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
August 6, 2020
A time-scale modification dataset with subjective quality labels
Timothy Roberts, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
November 3, 2020
Spectral distortion level resulting in a just-noticeable difference between an a priori signal-to-noise ratio estimate and its instantaneous case
Aaron Nicolson, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
July 9, 2021
On training targets for deep learning approaches to clean speech magnitude spectrum estimation
Aaron Nicolson, Kuldip K Paliwal
Computational and Structural Biotechnology Journal
|
April 11, 2025
Transformers in RNA structure prediction: A review
Mayank Chaturvedi, Mahmood A Rashid, Kuldip K Paliwal
Computers in Biology and Medicine
|
February 21, 2025
RNA structure prediction using deep learning - A comprehensive review
Mayank Chaturvedi, Mahmood A Rashid, Kuldip K Paliwal
BMC Bioinformatics
|
December 19, 2014
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
Kuldip K Paliwal, Alok Sharma, James Lyons, et al.
IEEE Transactions on Nanobioscience
|
March 6, 2014
A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition
Kuldip K Paliwal, Alok Sharma, James Lyons, et al.
Journal of Theoretical Biology
|
December 19, 2012
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Alok Sharma, James Lyons, Abdollah Dehzangi, et al.
Genomics, Proteomics & Bioinformatics
|
March 17, 2020
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning
Jack Hanson, Kuldip K Paliwal, Thomas Litfin, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
The Journal of the Acoustical Society of America
|
March 26, 2021
An objective measure of quality for time-scale modification of audio
Timothy Roberts, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
August 6, 2020
A time-scale modification dataset with subjective quality labels
Timothy Roberts, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
November 3, 2020
Spectral distortion level resulting in a just-noticeable difference between an a priori signal-to-noise ratio estimate and its instantaneous case
Aaron Nicolson, Kuldip K Paliwal
The Journal of the Acoustical Society of America
|
July 9, 2021
On training targets for deep learning approaches to clean speech magnitude spectrum estimation
Aaron Nicolson, Kuldip K Paliwal
Computational and Structural Biotechnology Journal
|
April 11, 2025
Transformers in RNA structure prediction: A review
Mayank Chaturvedi, Mahmood A Rashid, Kuldip K Paliwal
Computers in Biology and Medicine
|
February 21, 2025
RNA structure prediction using deep learning - A comprehensive review
Mayank Chaturvedi, Mahmood A Rashid, Kuldip K Paliwal
BMC Bioinformatics
|
December 19, 2014
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
Kuldip K Paliwal, Alok Sharma, James Lyons, et al.
IEEE Transactions on Nanobioscience
|
March 6, 2014
A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition
Kuldip K Paliwal, Alok Sharma, James Lyons, et al.
Journal of Theoretical Biology
|
December 19, 2012
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Alok Sharma, James Lyons, Abdollah Dehzangi, et al.
Genomics, Proteomics & Bioinformatics
|
March 17, 2020
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning
Jack Hanson, Kuldip K Paliwal, Thomas Litfin, et al.
Page
of 2