Alok Sharma

According to our database1, Alok Sharma authored at least 69 papers between 1991 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




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

Facilitating Media Distribution with Monetary Incentives.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Computational Pipelines and Workflows in Bioinformatics.
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

GlyStruct: glycation prediction using structural properties of amino acid residues.
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

Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness.
Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

A new parameter tuning approach for enhanced motor imagery EEG signal classification.
Medical Biol. Eng. Comput., 2018

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.
Bioinform., 2018

Hierarchical Maximum Likelihood Clustering Approach.
IEEE Trans. Biomed. Eng., 2017

Detecting TCP SYN Flood Attack in the Cloud.
J. Softw., 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

Divisive hierarchical maximum likelihood clustering.
BMC Bioinform., 2017

2D-EM clustering approach for high-dimensional data through folding feature vectors.
BMC Bioinform., 2017

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
BMC Bioinform., 2017

Mortality Prediction of ICU patients using Machine Leaning: A survey.
Proceedings of the International Conference on Compute and Data Analysis, 2017

Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram.
J. Softw., 2016

Stepwise iterative maximum likelihood clustering approach.
BMC Bioinform., 2016

Predicting MoRFs in protein sequences using HMM profiles.
BMC Bioinform., 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

Detecting Denial of Service Attacks in the Cloud.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Linear discriminant analysis for the small sample size problem: an overview.
Int. J. Mach. Learn. Cybern., 2015

A deterministic approach to regularized linear discriminant analysis.
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

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A feature selection method using improved regularized linear discriminant analysis.
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

Importance of Computational Intelligent in Proteomics.
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

Principal component analysis using QR decomposition.
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

A Top-r Feature Selection Algorithm for Microarray Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A two-stage linear discriminant analysis for face-recognition.
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

Null space based feature selection method for gene expression data.
Int. J. Mach. Learn. Cybern., 2012

A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis.
J. Bioinform. Comput. Biol., 2012

Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction.
Int. J. Pattern Recognit. Artif. Intell., 2012

Tanimoto Based Similarity Measure for Intrusion Detection System.
J. Information Security, 2011

Managing Knowledge for Organization-Wide Ad Hoc Committees.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

Improved direct LDA and its application to DNA microarray gene expression data.
Pattern Recognit. Lett., 2010

Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., 2008

A Gradient Linear Discriminant Analysis for Small Sample Sized Problem.
Neural Process. Lett., 2008

Cancer classification by gradient LDA technique using microarray gene expression data.
Data Knowl. Eng., 2008

Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach.
J. Comput. Virol., 2007

Fast principal component analysis using fixed-point algorithm.
Pattern Recognit. Lett., 2007

Intrusion detection using text processing techniques with a kernel based similarity measure.
Comput. Secur., 2007

Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification.
Pattern Recognit., 2006

Subspace independent component analysis using vector kurtosis.
Pattern Recognit., 2006

InSyn: integrated scheduling for DSP applications.
IEEE Trans. Signal Process., 1995

Register Estimation from Behavioral Specifications.
Proceedings of the Proceedings 1994 IEEE International Conference on Computer Design: VLSI in Computer & Processors, 1994

Estimating architectural resources and performance for high-level synthesis applications.
IEEE Trans. Very Large Scale Integr. Syst., 1993

Empirical Evaluation of Some High-Level Synthesis Scheduling Heuristics.
Proceedings of the 28th Design Automation Conference, 1991