Kuldip K. Paliwal - Concepedia

Author

Kuldip K. Paliwal

Also Known As

Conrad S, Jack Hanson, Jaspreet Singh, Jaswinder Singh, K K Paliwal, K. K. Paliwal, K. Paliwal, K.K Paliwal, K.K. Paliwal, Komal Paliwal

313

Publications

20.5K

Citations

H-Index

130

Concepts

All Affiliations

Griffith University University of the South Pacific Tata Institute of Fundamental Research Data61

About

Kuldip K. Paliwal is an author at Griffith University specializing in engineering, speech recognition, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	39	97	14.4K
2	Health Sciences	29	72	3.5K
3	Language Studies	14	18	808
4	Medicine	14	14	905
5	Education	1	1	11

Kuldip K. Paliwal

153

Publications

19.4K

Citations

H-Index

Page 1

	Year	Citations
Bidirectional recurrent neural networks Mike Schuster, Kuldip K. Paliwal IEEE Transactions on Signal Processing Natural Language ProcessingStructured PredictionConditional Posterior ProbabilityEngineeringMachine Learning	1997	9.6K
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning Jaswinder Singh, Jack Hanson, Kuldip K. Paliwal, Nature Communications	2019	437
The importance of phase in speech enhancement Kuldip K. Paliwal, Kamil Wójcicki, Benjamin J. Shannon Speech Communication Health SciencesSpeech EnhancementSpeech ProcessingSpeech PerceptionSpeech Communication	2010	404
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility Rhys Heffernan, Yuedong Yang, Kuldip K. Paliwal, Bioinformatics	2017	381
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning Rhys Heffernan, Kuldip K. Paliwal, James Lyons, Scientific Reports	2015	364
A speech enhancement method based on Kalman filtering Kuldip K. Paliwal, Ayanendranath Basu Adaptive FilterEngineeringHealth SciencesFiltering TechniqueSpeech Signal	2005	323
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks Jack Hanson, Yuedong Yang, Kuldip K. Paliwal, Bioinformatics	2016	303
Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition Xuechuan Wang, Kuldip K. Paliwal Pattern Recognition EngineeringPattern RecognitionPhoneticsBiometricsFeature Extraction	2003	260
Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Yuedong Yang, Jianzhao Gao, Jihua Wang, Briefings in Bioinformatics Structural BioinformaticsBiomolecular Structure PredictionTorsion AnglesMolecular BiologyBackbone Torsion Angles	2016	256
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Journal of Theoretical Biology Protein FunctionProtein ExpressionBiochemistryEvolutionary-based DescriptorsNatural Sciences	2014	243

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