Alok Sharma
Orcid: 0000-0002-7668-3501
According to our database1,
Alok Sharma
authored at least 83 papers
between 1991 and 2023.
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Bibliography
2023
Neurocomputing, December, 2023
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.
Briefings Bioinform., September, 2023
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res., July, 2023
2022
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi.
CoRR, 2022
A Regression and Neural Network-Based Methodology to Improve Vertical Resolution of Matched Indian Ground Radar Reflectivity Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
PeerJ Comput. Sci., 2021
Briefings Bioinform., 2021
Upscaling IMD Ground Radar Vertical Reflectivity Using TRMM PR Observations and Artificial Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021
A Hybrid Multi-Modal System for Conducting Virtual Workshops Using Interactive Voice Response and the WhatsApp Business API.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences.
Comput. Biol. Chem., 2020
Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features.
IEEE Access, 2020
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field.
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019
Protein secondary structure prediction using neural networks and deep learning: A review.
Comput. Biol. Chem., 2019
Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions.
BMC Bioinform., 2019
BMC Bioinform., 2019
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.
Bioinform., 2019
Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019
2018
A new parameter tuning approach for enhanced motor imagery EEG signal classification.
Medical Biol. Eng. Comput., 2018
Bioinform., 2018
2017
CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
Comput. Biol. Medicine, 2017
Application of sequential factorial design and orthogonal array composite design (OACD) to study combination of 5 prostate cancer drugs.
Comput. Biol. Chem., 2017
BMC Bioinform., 2017
An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
BMC Bioinform., 2017
Proceedings of the International Conference on Compute and Data Analysis, 2017
2016
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram.
J. Softw., 2016
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.
Bioinform., 2016
Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016
2015
Int. J. Mach. Learn. Cybern., 2015
Neurocomputing, 2015
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition.
Int. J. Data Min. Bioinform., 2015
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.
BMC Bioinform., 2015
Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015
2014
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Mach. Vis. Appl., 2014
A feature selection method using fixed-point algorithm for DNA microarray gene expression data.
Int. J. Knowl. Based Intell. Eng. Syst., 2014
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.
J. Comput. Chem., 2014
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix.
J. Adv. Comput. Intell. Intell. Informatics, 2014
J. Adv. Comput. Intell. Intell. Informatics, 2014
Proposing a highly accurate protein structural class predictor using segmentation-based features.
BMC Genom., 2014
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.
BMC Bioinform., 2014
2013
Int. J. Mach. Learn. Cybern., 2013
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.
BMC Bioinform., 2013
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy.
Proceedings of the Pattern Recognition in Bioinformatics, 2013
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features.
Proceedings of the Pattern Recognition in Bioinformatics, 2013
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Pattern Recognit. Lett., 2012
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices.
Pattern Recognit., 2012
Int. J. Mach. Learn. Cybern., 2012
J. Bioinform. Comput. Biol., 2012
Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction.
Int. J. Pattern Recognit. Artif. Intell., 2012
2011
J. Information Security, 2011
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011
2010
Pattern Recognit. Lett., 2010
2008
IEEE Trans. Knowl. Data Eng., 2008
Neural Process. Lett., 2008
Cancer classification by gradient LDA technique using microarray gene expression data.
Data Knowl. Eng., 2008
2007
J. Comput. Virol., 2007
Pattern Recognit. Lett., 2007
Intrusion detection using text processing techniques with a kernel based similarity measure.
Comput. Secur., 2007
2006
Pattern Recognit., 2006
Pattern Recognit., 2006
1995
1994
Proceedings of the Proceedings 1994 IEEE International Conference on Computer Design: VLSI in Computer & Processors, 1994
1993
Estimating architectural resources and performance for high-level synthesis applications.
IEEE Trans. Very Large Scale Integr. Syst., 1993
1991
Proceedings of the 28th Design Automation Conference, 1991