Kuldip K. Paliwal

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 61

Top Venues

Publications

Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51 (W1) (2023)
Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. CoRR (2023)
Sisi Shi, Kuldip K. Paliwal, Andrew Busch
Log-Spectral Amplitude and Spectral Polarity Estimation in Short-Time Discrete Cosine Transform Domain. IEEE Access 11 (2023)
Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal
On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement. Speech Commun. 142 (2022)
Md. Solayman, Thomas Litfin, Jaswinder Singh, Kuldip K. Paliwal, Yaoqi Zhou, Jian Zhan
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives. Briefings Bioinform. 23 (3) (2022)
Jaswinder Singh, Kuldip K. Paliwal, Thomas Litfin, Jaspreet Singh, Yaoqi Zhou
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling. Bioinform. 38 (16) (2022)
Jaspreet Singh, Thomas Litfin, Jaswinder Singh, Kuldip K. Paliwal, Yaoqi Zhou
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model. Bioinform. 38 (7) (2022)
Tongchuan Zhang, Jaswinder Singh, Thomas Litfin, Jian Zhan, Kuldip K. Paliwal, Yaoqi Zhou
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis. Bioinform. 37 (20) (2021)
Jaspreet Singh, Jaswinder Singh, Kuldip K. Paliwal, Andrew Busch, Yaoqi Zhou
SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks. CIBCB (2021)
Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou
RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks. J. Chem. Inf. Model. 61 (6) (2021)
Anil Kumar Hanumanthappa, Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network. Bioinform. 36 (21) (2021)
Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal
DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement. IEEE Access 9 (2021)
Jaswinder Singh, Kuldip K. Paliwal, Tongchuan Zhang, Jaspreet Singh, Thomas Litfin, Yaoqi Zhou
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning. Bioinform. 37 (17) (2021)
Sujan Kumar Roy, Kuldip K. Paliwal
A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions. EURASIP J. Audio Speech Music. Process. 2021 (1) (2021)
Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal
DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement. IEEE Access 9 (2021)
Yufeng Cai, Xiongjun Li, Zhe Sun, Yutong Lu, Huiying Zhao, Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou, Yuedong Yang
SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. J. Comput. Chem. 41 (8) (2020)
Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio. CoRR (2020)
Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal
A Deep Learning-Based Kalman Filter for Speech Enhancement. INTERSPEECH (2020)
Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang
DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Sujan Kumar Roy, Kuldip K. Paliwal
Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement. APSIPA (2020)
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI (2020)
Aaron Nicolson, Kuldip K. Paliwal
Masked multi-head self-attention for causal speech enhancement. Speech Commun. 125 (2020)
Timothy Roberts, Kuldip K. Paliwal
A Time-Scale Modification Dataset with Subjective Quality Labels. CoRR (2020)
Aaron Nicolson, Kuldip K. Paliwal
Sum-Product Networks for Robust Automatic Speaker Identification. INTERSPEECH (2020)
Jack Hanson, Thomas Litfin, Kuldip K. Paliwal, Yaoqi Zhou
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning. Bioinform. 36 (4) (2020)
Sujan Kumar Roy, Kuldip K. Paliwal
Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement. ICSPCS (2020)
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR (2020)
Sisi Shi, Andrew Busch, Kuldip K. Paliwal, Thomas Fickenscher
On The Use of Discrete Cosine Transform Polarity Spectrum in Speech Enhancement. EUSIPCO (2020)
Timothy Roberts, Kuldip K. Paliwal
An Objective Measure of Quality for Time-Scale Modification of Audio. CoRR (2020)
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou
Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. J. Comput. Biol. 27 (5) (2020)
Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal
Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement. ISCAS (2020)
Sujan Kumar Roy, Kuldip K. Paliwal
Causal Convolutional Encoder Decoder-Based Augmented Kalman Filter for Speech Enhancement. ICSPCS (2020)
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning. Genom. Proteom. Bioinform. 17 (6) (2019)
Timothy Roberts, Kuldip K. Paliwal
Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA). WASPAA (2019)
Aaron Nicolson, Kuldip K. Paliwal
Deep learning for minimum mean-square error approaches to speech enhancement. Speech Commun. 111 (2019)
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks. Bioinform. 35 (14) (2019)
Aaron Nicolson, Kuldip K. Paliwal
Sum-Product Networks for Robust Automatic Speaker Recognition. CoRR (2019)
Aaron Nicolson, Kuldip K. Paliwal
Deep Xi as a Front-End for Robust Automatic Speech Recognition. CoRR (2019)
Jaswinder Singh, Jack Hanson, Rhys Heffernan, Kuldip K. Paliwal, Yuedong Yang, Yaoqi Zhou
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning. J. Chem. Inf. Model. 58 (9) (2018)
Timothy Roberts, Kuldip K. Paliwal
Frequency Dependent Time-Scale Modification. ICSPCS (2018)
Stephen So, Kuldip K. Paliwal
Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform [Tips & Tricks]. IEEE Signal Process. Mag. 35 (2) (2018)
Sujan Kumar Roy, Kuldip K. Paliwal
A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition. ICSPCS (2018)
Aidan E. W. George, Stephen So, Ratna Ghosh, Kuldip K. Paliwal
Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise. Speech Commun. 105 (2018)
Timothy Roberts, Kuldip K. Paliwal
Stereo Time-Scale Modification Using Sum and Difference Transformation. ICSPCS (2018)
Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou
Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures. J. Chem. Inf. Model. 58 (11) (2018)
Aadel Alatwi, Kuldip K. Paliwal
A Smoothed and Thresholded Linear Prediction Analysis for Efficient Speech Coding. J. Commun. 13 (5) (2018)
Yuedong Yang, Jianzhao Gao, Jihua Wang, Rhys Heffernan, Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou
Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Briefings Bioinform. 19 (3) (2018)
Aaron Nicolson, Kuldip K. Paliwal
Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations. INTERSPEECH (2018)
Rhys Heffernan, Kuldip K. Paliwal, James G. Lyons, Jaswinder Singh, Yuedong Yang, Yaoqi Zhou
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning. J. Comput. Chem. 39 (26) (2018)
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks. Bioinform. 34 (23) (2018)
Rhys Heffernan, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou
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. Bioinform. 33 (18) (2017)
Jack Hanson, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks. Bioinform. 33 (5) (2017)
Stephen So, Aidan E. W. George, Ratna Ghosh, Kuldip K. Paliwal
Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech. Circuits Syst. Signal Process. 36 (4) (2017)
Aadel Alatwi, Stephen So, Kuldip K. Paliwal
Perceptually motivated linear prediction cepstral features for network speech recognition. ICSPCS (2016)
Roger Chappel, Belinda Schwerin, Kuldip K. Paliwal
Phase distortion resulting in a just noticeable difference in the perceived quality of speech. Speech Commun. 81 (2016)
Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32 (6) (2016)
Alok Sharma, Kuldip K. Paliwal
Linear discriminant analysis for the small sample size problem: an overview. Int. J. Mach. Learn. Cybern. 6 (3) (2015)
Alok Sharma, Kuldip K. Paliwal
A deterministic approach to regularized linear discriminant analysis. Neurocomputing 151 (2015)
Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11 (1) (2015)
Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16 (S-4) (2015)
Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15 (S-1) (2014)
Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (3) (2014)
Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. 15 (S-16) (2014)
James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35 (28) (2014)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano, Vandana Sharma, Rajeshkannan Ananthanarayanan
A feature selection method using fixed-point algorithm for DNA microarray gene expression data. Int. J. Knowl. Based Intell. Eng. Syst. 18 (1) (2014)
Roger Chappel, Kuldip K. Paliwal
An educational platform to demonstrate speech processing techniques on Android based smart phones and tablets. Speech Commun. 57 (2014)
Belinda Schwerin, Kuldip K. Paliwal
Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement. Speech Commun. 58 (2014)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano
A feature selection method using improved regularized linear discriminant analysis. Mach. Vis. Appl. 25 (3) (2014)
Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics 18 (4) (2014)
Belinda Schwerin, Kuldip K. Paliwal
An improved speech transmission index for intelligibility prediction. Speech Commun. 65 (2014)
Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14 (2013)
Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB (2013)
Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB (2013)
Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence (2013)
Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano
Principal component analysis using QR decomposition. Int. J. Mach. Learn. Cybern. 4 (6) (2013)
Roger Chappel, Kuldip K. Paliwal
Speech Enhancement for Android (SEA): A Speech Processing Demonstration Tool for Android Based Smart Phones and Tablets. INTERSPEECH (2012)
Alok Sharma, Kuldip K. Paliwal
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices. Pattern Recognit. 45 (6) (2012)
Kuldip K. Paliwal, Alok Sharma
Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction. Int. J. Pattern Recognit. Artif. Intell. 26 (1) (2012)
Angel M. Gomez, Belinda Schwerin, Kuldip K. Paliwal
Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio. Speech Commun. 54 (3) (2012)
Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki
Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator. Speech Commun. 54 (2) (2012)
Alok Sharma, Kuldip K. Paliwal
A two-stage linear discriminant analysis for face-recognition. Pattern Recognit. Lett. 33 (9) (2012)
Anthony P. Stark, Kuldip K. Paliwal
Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition. Speech Commun. 53 (1) (2011)
Angel M. Gomez, Belinda Schwerin, Kuldip K. Paliwal
Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion Based Techniques. INTERSPEECH (2011)
Stephen So, Kuldip K. Paliwal
Modulation-domain Kalman filtering for single-channel speech enhancement. Speech Commun. 53 (6) (2011)
Stephen So, Kuldip K. Paliwal
Suppressing the influence of additive noise on the Kalman gain for low residual noise speech enhancement. Speech Commun. 53 (3) (2011)
Anthony P. Stark, Kuldip K. Paliwal
MMSE estimation of log-filterbank energies for robust speech recognition. Speech Commun. 53 (3) (2011)
Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki
Single Channel Speech Enhancement Using MMSE Estimation of Short-Time Modulation Magnitude Spectrum. INTERSPEECH (2011)
Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki
Role of modulation magnitude and phase spectrum towards speech intelligibility. Speech Commun. 53 (3) (2011)
Kuldip K. Paliwal, Kamil K. Wójcicki, Benjamin J. Shannon
The importance of phase in speech enhancement. Speech Commun. 53 (4) (2011)
Kuldip K. Paliwal, Alok Sharma
Improved direct LDA and its application to DNA microarray gene expression data. Pattern Recognit. Lett. 31 (16) (2010)
Stephen So, Kuldip K. Paliwal
Fast converging iterative kalman filtering for speech enhancement using long and overlapped tapered windows with large side lobe attenuation. INTERSPEECH (2010)
Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin
Single-channel speech enhancement using spectral subtraction in the short-time modulation domain. Speech Commun. 52 (5) (2010)
Stephen So, Kamil K. Wójcicki, Kuldip K. Paliwal
Single-channel speech enhancement using kalman filtering in the modulation domain. INTERSPEECH (2010)
Mohamed Chetouani, Marcos Faúndez-Zanuy, Amir Hussain, Bruno Gas, Jean-Luc Zarader, Kuldip K. Paliwal
Special issue on non-linear and non-conventional speech processing. Speech Commun. 51 (9) (2009)
Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki
Modulation domain spectral subtraction for speech enhancement. INTERSPEECH (2009)
Kuldip K. Paliwal, Benjamin J. Shannon, James G. Lyons, Kamil K. Wójcicki
Speech-Signal-Based Frequency Warping. IEEE Signal Process. Lett. 16 (4) (2009)
Anthony P. Stark, Kuldip K. Paliwal
Group-delay-deviation based spectral analysis of speech. INTERSPEECH (2009)
Stephen So, Kamil K. Wójcicki, James G. Lyons, Anthony P. Stark, Kuldip K. Paliwal
Kalman fitler with phase spectrum compensation algorithm for speech enhancement. ICASSP (2009)
Alok Sharma, Kuldip K. Paliwal
A Gradient Linear Discriminant Analysis for Small Sample Sized Problem. Neural Process. Lett. 27 (1) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kuldip K. Paliwal