Swakkhar Shatabda

According to our database1, Swakkhar Shatabda authored at least 48 papers between 2007 and 2021.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Text2Chart: A Multi-Staged Chart Generator from Natural Language Text.
CoRR, 2021

Convolutional neural networks with image representation of amino acid sequences for protein function prediction.
Comput. Biol. Chem., 2021

SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences.
Comput. Biol. Chem., 2021

OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in <i>S. cerevisiae</i>.
Comput. Biol. Chem., 2021

2020
Image-based effective feature generation for protein structural class and ligand binding prediction.
PeerJ Comput. Sci., 2020

i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome.
CoRR, 2020

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information.
Comput. Biol. Medicine, 2020

iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters.
Bioinform., 2020

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features.
IEEE Access, 2020

2019
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters.
CoRR, 2019

Find It: A Novel Way to Learn Through Play.
CoRR, 2019

Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm.
Comput. Biol. Chem., 2019

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.
Bioinform., 2019

Big Data with Decision Tree Induction.
Proceedings of the 13th International Conference on Software, 2019

Voice-Enabled Intelligent IDE in Cloud.
Proceedings of International Joint Conference on Computational Intelligence, 2019

2018
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model.
CoRR, 2018

FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction.
CoRR, 2018

iRecSpot-EF: Effective sequence based features for recombination hotspot prediction.
Comput. Biol. Medicine, 2018

Classification by Clustering (CbC): An Approach of Classifying Big Data Based on Similarities.
Proceedings of International Joint Conference on Computational Intelligence, 2018

2017
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification.
CoRR, 2017

LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification.
CoRR, 2017

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.
CoRR, 2017

A Participatory Sensing Framework for Environment Pollution Monitoring and Management.
CoRR, 2017

MEBoost: Mixing estimators with boosting for imbalanced data classification.
Proceedings of the 11th International Conference on Software, 2017

EGAGP: An enhanced genetic algorithm for producing efficient graph partitions.
Proceedings of the 4th International Conference on Networking, Systems and Security, 2017

CycloAnt: sequencing cyclic peptides using hybrid ants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
A novel and effective scoring scheme for structure classification and pairwise similarity measurement.
CoRR, 2016

2015
An Efficient Genetic Algorithm for Discovering Diverse-Frequent Patterns.
CoRR, 2015

FGPGA: An efficient genetic approach for producing feasible graph partitions.
Proceedings of the International Conference on Networking Systems and Security, 2015

Gene Transfer: A Novel Genetic Operator for Discovering Diverse-Frequent Patterns.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
GraATP: A Graph Theoretic Approach for Automated Theorem Proving in Plane Geometry.
CoRR, 2014

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval.
CoRR, 2014

Stochastic Local Search for Pattern Set Mining.
CoRR, 2014

How Good Are Simplified Models for Protein Structure Prediction?
Adv. Bioinformatics, 2014

A Parallel Framework for Multipoint Spiral Search in <i>ab Initio</i> Protein Structure Prediction.
Adv. Bioinformatics, 2014

Constraint-Based Evolutionary Local Search for Protein Structures with Secondary Motifs.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

GreMuTRRR: A novel genetic algorithm to solve distance geometry problem for protein structures.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
The road not taken: retreat and diverge in local search for simplified protein structure prediction.
BMC Bioinform., 2013

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice.
BMC Bioinform., 2013

An efficient encoding for simplified protein structure prediction using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A Hybrid Local Search for Simplified Protein Structure Prediction.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Simplified Lattice Models for Protein Structure Prediction: How Good Are They?
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Mixed Heuristic Local Search for Protein Structure Prediction.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Memory-based local search for simplified protein structure prediction.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Random-walk: a stagnation recovery technique for simplified protein structure prediction.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2008
An approximation algorithm for sorting by reversals and transpositions.
J. Discrete Algorithms, 2008

2007
Approximation Algorithm for Sorting by Reversals and Transpositions.
Proceedings of the Workshop on Algorithms and Computation 2007, 2007


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