Swakkhar Shatabda

发表

Prediction of Origin of Replication in Genome Using DNA Sequence Based Features

Sristy Sangskriti, Mashiyat Alam Promi, Dewan Md. Farid, 2018, 2018 10th International Conference on Electrical and Computer Engineering (ICECE).

Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction

Abdul Sattar, Swakkhar Shatabda, M. A. Hakim Newton, 2013, Australasian Conference on Artificial Intelligence.

An efficient encoding for simplified protein structure prediction using genetic algorithms

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model

Md. Mosaddek Khan, Swakkhar Shatabda, Md. Mofijul Islam, 2018, 2019 IEEE Region 10 Symposium (TENSYMP).

An efficient genetic algorithm for discovering diverse-frequent patterns

Swakkhar Shatabda, Shanjida Khatun, Hasib Ul Alam, 2015, 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).

Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm

Mahmood A. Rashid, Mohammad Sohel Rahman, Swakkhar Shatabda, 2019, Comput. Biol. Chem..

Hybrid Methods for Class Imbalance Learning Employing Bagging with Sampling Techniques

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2017, 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).

MEBoost: Mixing estimators with boosting for imbalanced data classification

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2017, 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA).

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

Sajid Ahmed, Swakkhar Shatabda, Ruhul Amin, 2020, Bioinformatics.

DeepDBP: Deep Neural Networks for Identification of DNA-binding Proteins

Nazia Afrin Neezi, Shadman Shadab, Md. Tawab Alam Khan, 2019, bioRxiv.

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

Abdollah Dehzangi, Mohammad Sohel Rahman, Sajid Ahmed, 2017, Scientific Reports.

CycloAnt: sequencing cyclic peptides using hybrid ants

Mahmood A. Rashid, Swakkhar Shatabda, Sujata Baral, 2017, GECCO.

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2013, BMC Bioinformatics.

Big Data Mining in the Presence of Concept Drifting

Swakkhar Shatabda, Terbium Siraj, Efrana Jannat, 2019, 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT).

EGAGP: An enhanced genetic algorithm for producing efficient graph partitions

Swakkhar Shatabda, Fahim Shahriar, Aakib Bin Nesar, 2017, 2017 4th International Conference on Networking, Systems and Security (NSysS).

An Effective Leukemia Prediction Technique Using Supervised Machine Learning Classification Algorithm

Ashir Ahmed, Swakkhar Shatabda, Salekul Islam, 2020, Advances in Intelligent Systems and Computing.

A tabu-based heuristic optimization algorithm for load shedding minimization

Mohammad Nurul Huda, Swakkhar Shatabda, Jannatul Ferdous, 2015, 2015 International Conference on Advances in Electrical Engineering (ICAEE).

iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features

Abdollah Dehzangi, Swakkhar Shatabda, Shahana Yasmin Chowdhury, 2017, Scientific Reports.

Mixed Heuristic Local Search for Protein Structure Prediction

Abdul Sattar, Swakkhar Shatabda, M. A. Hakim Newton, 2013, AAAI.

PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites

Md. Hasanuzzaman, Swakkhar Shatabda, Alif Choyon, 2020 .

Find It: A Novel Way to Learn Through Play pdf

Swakkhar Shatabda, Md. Tashfiqul Bari, Tanvir Hassan, 2019, ArXiv.

Active Learning for Mining Big Data

Dewan Md. Farid, Swakkhar Shatabda, Sadia Jahan, 2018, 2018 21st International Conference of Computer and Information Technology (ICCIT).

An ant colony optimization algorithm for load shedding minimization in smart grids

Swakkhar Shatabda, Mehadi Hasan, Jannatul Ferdous, 2016, 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV).

Effective DNA binding protein prediction by using key features via Chou's general PseAAC.

Swakkhar Shatabda, Sheikh Adilina, Dewan Md Farid, 2019, Journal of theoretical biology.

Local Search Heuristics for Protein Structure Prediction

Swakkhar Shatabda, 2014 .

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, IEEE Access.

Voice-Enabled Intelligent IDE in Cloud

Swakkhar Shatabda, Salekul Islam, Sabila Nawshin, 2019, IJCCI.

Image based effective feature generation for protein structural class and ligand binding prediction

Swakkhar Shatabda, Nafees Sadique, Al Amin Neaz Ahmed, 2019, PeerJ Prepr..

An approximation algorithm for sorting by reversals and transpositions

Masud Hasan, Swakkhar Shatabda, Atif Rahman, 2008, J. Discrete Algorithms.

Bangla Content Categorization Using Text Based Supervised Learning Methods

Swakkhar Shatabda, Sadek Al Mostakim, Faiza Ehsan, 2018, 2018 International Conference on Bangla Speech and Language Processing (ICBSLP).

FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction

Sajid Ahmed, Swakkhar Shatabda, Farshid Rayhan, 2020, Heliyon.

FGPGA: An efficient genetic approach for producing feasible graph partitions

Mohammad Sohel Rahman, Swakkhar Shatabda, Novia Nurain, 2014, 2015 International Conference on Networking Systems and Security (NSysS).

CUSBoost: Cluster-Based Under-Sampling with Boosting for Imbalanced Classification

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2017, 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).

Wavelet and Pyramid Histogram Features for Image-Based Leaf Detection

Swakkhar Shatabda, Abdur Rahman, Al Amin Neaz Ahmed, 2018, Advances in Intelligent Systems and Computing.

FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction pdf

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2018, ArXiv.

Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites

Swakkhar Shatabda, Hiroyuki Kurata, Md. Mehedi Hasan, 2020, Current genomics.

A Participatory Sensing Framework for Environment Pollution Monitoring and Management pdf

Abdur Rahman, Swakkhar Shatabda, Sanjay Saha, 2017, ArXiv.

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, Comput. Biol. Medicine.

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

Swakkhar Shatabda, Ruhul Amin, Chowdhury Rafeed Rahman, 2020, bioRxiv.

Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests

Swakkhar Shatabda, Md. Ochiuddin Miah, Dewan Md. Farid, 2019, 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT).

Gene Transfer: A Novel Genetic Operator for Discovering Diverse-Frequent Patterns

Mahmood A. Rashid, Swakkhar Shatabda, Shanjida Khatun, 2015, Australasian Conference on Artificial Intelligence.

The road not taken: retreat and diverge in local search for simplified protein structure prediction

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2013, BMC Bioinformatics.

An Adaptive Video-based Vehicle Detection, Classification, Counting, and Speed-measurement System for Real-time Traffic Data Collection

Swakkhar Shatabda, Amit Ghosh, Dewan Md. Farid, 2019, 2019 IEEE Region 10 Symposium (TENSYMP).

iRecSpot-EF: Effective sequence based features for recombination hotspot prediction

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2018, Comput. Biol. Medicine.

CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction.

Abdollah Dehzangi, Sajid Ahmed, Swakkhar Shatabda, 2019, Journal of theoretical biology.

Big Data with Decision Tree Induction

Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, 2019, 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA).

Random-walk: a stagnation recovery technique for simplified protein structure prediction

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2012, BCB '12.

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

Sajid Ahmed, Swakkhar Shatabda, Chowdhury Rafeed Rahman, 2020, Bioinform..

DeepDBP: Deep neural networks for identification of DNA-binding proteins

Nazia Afrin Neezi, Shadman Shadab, Swakkhar Shatabda, 2020 .

Enhanced Prediction of Lysine Propionylation Sites using Bi-peptide Evolutionary Features Resolving Data Imbalance

Swakkhar Shatabda, S.M. Shovan, Md. Wakil Ahmad, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

How Good Are Simplified Models for Protein Structure Prediction?

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2014, Adv. Bioinformatics.

Simplified Lattice Models for Protein Structure Prediction: How Good Are They?

Abdul Sattar, Swakkhar Shatabda, M. A. Hakim Newton, 2013, AAAI.

Guiding Artificial Neural Networks Using Discriminatory Information In Hidden Layers

Swakkhar Shatabda, Chowdhury Mofizur Rahman, Md. Abdullah Al Mashud, 2017, 2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).

ACP-MHCNN: An Accurate Multi-Headed Deep-Convolutional Neural Network to Predict Anticancer peptides

Sajid Ahmed, Swakkhar Shatabda, Abdollah Dehzangi, 2020 .

Supervised Machine Learning for Multi-label Classification of Bangla Articles

Swakkhar Shatabda, Dip Bhakta, Avimonnu Arnob Dash, 2020 .

VIM: A Big Data Analytics Tool for Data Visualization and Knowledge Mining

Md. Mahmudul Hasan, Swakkhar Shatabda, Md. Mofijul Islam, 2017, 2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).

A Hybrid Local Search for Simplified Protein Structure Prediction pdf

Abdul Sattar, Swakkhar Shatabda, Duc Nghia Pham, 2013, BIOINFORMATICS.

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features

Abdollah Dehzangi, Alok Sharma, Mahmood A. Rashid, 2017, BioMed research international.

Classification by Clustering (CbC): An Approach of Classifying Big Data Based on Similarities

Swakkhar Shatabda, Dewan Md. Farid, Sakib Shahriar Khan, 2018, IJCCI.

Real-Time EEG Classification of Voluntary Hand Movement Directions using Brain Machine Interface

Swakkhar Shatabda, Md. Ochiuddin Miah, Dewan Md. Farid, 2019, 2019 IEEE Region 10 Symposium (TENSYMP).

IEEE WIECON-ECE 2018 Novel Class Detection in Concept Drifting Data Streams Using Decision Tree Leaves

Swakkhar Shatabda, Akash Sarkar, Dewan Md Farid, 2018, 2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Al Mehedi Hasan, 2020, Genes.

FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction

Sajid Ahmed, Swakkhar Shatabda, Farshid Rayhan, 2018, 1806.07174.

Bangla Sentence Correction Using Deep Neural Network Based Sequence to Sequence Learning

Swakkhar Shatabda, Md. Mehedi Hasan, Dewan Md Farid, 2018, 2018 21st International Conference of Computer and Information Technology (ICCIT).

GreMuTRRR: A novel genetic algorithm to solve distance geometry problem for protein structures

Mohammad Sohel Rahman, Swakkhar Shatabda, Md. Lisul Islam, 2014, 8th International Conference on Electrical and Computer Engineering.

Constraint-Based Evolutionary Local Search for Protein Structures with Secondary Motifs

Abdul Sattar, Swakkhar Shatabda, M. A. Hakim Newton, 2014, PRICAI.

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval

Mohammad Sohel Rahman, Swakkhar Shatabda, Rezaul Karim, 2014, Scientific Reports.

Memory-based local search for simplified protein structure prediction

Abdul Sattar, Swakkhar Shatabda, Duc Nghia Pham, 2012, BCB.

GreMuTRRR: A novel genetic algorithm to solve distance geometry problem for protein structures

Mohammad Sohel Rahman, Swakkhar Shatabda, Md. Lisul Islam, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

RAiTA: Recommending Accepted Answer Using Textual Metadata

Swakkhar Shatabda, Md. Mofijul Islam, Md. Mahmudur Rahman, 2019 .

SubFeat: Feature Subspacing Ensemble Classifier for Function Prediction of DNA, RNA and Protein Sequences

Swakkhar Shatabda, Sheikh Adilina, H.M.Fazlul Haque, 2020, bioRxiv.

EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.

Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda, 2018, Journal of theoretical biology.

A novel and effective scoring scheme for structure classification and pairwise similarity measurement pdf

Mohammad Sohel Rahman, Swakkhar Shatabda, Rezaul Karim, 2016, ArXiv.

Image-based effective feature generation for protein structural class and ligand binding prediction

Swakkhar Shatabda, Nafees Sadique, Al Amin Neaz Ahmed, 2020, PeerJ. Computer science.

A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction

Abdul Sattar, Mahmood A. Rashid, Swakkhar Shatabda, 2014, Adv. Bioinformatics.

DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.

Mohammad Sohel Rahman, Swakkhar Shatabda, M Sohel Rahman, 2018, Journal of theoretical biology.

Efficient conformational space exploration in ab initio protein folding simulation

Mohammad Sohel Rahman, Swakkhar Shatabda, M. Sohel Rahman, 2015, Royal Society Open Science.

iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Mofijul Islam, 2018, Proteins.

Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors

Sajid Ahmed, Swakkhar Shatabda, Abdollah Dehzangi, 2020, Computational and structural biotechnology journal.

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

Abdollah Dehzangi, Sajid Ahmed, Swakkhar Shatabda, 2019, Bioinform..

EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions.

Swakkhar Shatabda, Ahsan Ahmad, Swakkhar Shatabda, 2019, Analytical biochemistry.

Native Vehicles Classification on Bangladeshi Roads Using CNN with Transfer Learning

Swakkhar Shatabda, Shaira Tabassum, Md. Sabbir Ullah, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification

Swakkhar Shatabda, Shaira Tabassum, Sabbir Ullah, 2020, Data in brief.

A Two-Tier Classification Model for Financial Fraud Detection

Swakkhar Shatabda, Md. Jahidul Islam, Fazlul Hoque, 2015 .

Stochastic local search for pattern set mining

Dewan Md. Farid, Swakkhar Shatabda, Muktadir Hossain, 2014, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).

GraATP: A graph theoretic approach for Automated Theorem Proving in plane geometry

Mohammad Nurul Huda, Swakkhar Shatabda, Mohammad Murtaza Mahmud, 2014, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).

LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification pdf

Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, 2017, ArXiv.

OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae

Swakkhar Shatabda, Md. Rakibul Haque, Sayed Mehedi Azim, 2021, Comput. Biol. Chem..

SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences

Swakkhar Shatabda, Sheikh Adilina, Rafsanjani Muhammod, 2021, Comput. Biol. Chem..

Convolutional neural networks with image representation of amino acid sequences for protein function prediction

Swakkhar Shatabda, Md. Mehedi Hasan, Samia Tasnim Sara, 2021, Comput. Biol. Chem..

Text2Chart: A Multi-Staged Chart Generator from Natural Language Text pdf

Swakkhar Shatabda, Md. Saddam Hossain Mukta, Md. Mahinur Rashid, 2021, PAKDD.

An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition pdf

Swakkhar Shatabda, Salekul Islam, Md. Rayhan Ahmed, 2021, ArXiv.

Layered Ensemble Learning for Effective Binary Classification

Dewan Md. Farid, Swakkhar Shatabda, Md. Abulkalam Azad, 2021 .

Towards development of IoT-ML driven healthcare systems: A survey

Swakkhar Shatabda, Nabila Sabrin Sworna, Salekul Islam, 2021, J. Netw. Comput. Appl..

Pattern mining from historical traffic big data

Rosaldo J. F. Rossetti, Dewan Md. Farid, Swakkhar Shatabda, 2017, 2017 IEEE Region 10 Symposium (TENSYMP).

iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features

Swakkhar Shatabda, Md. Rafsan Jani, Usma Aktar, 2018, Molecular Genetics and Genomics.

Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions.

Swakkhar Shatabda, Hao Lin, Ahsan Ahmad, 2020, Genomics.

iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features.

Abdollah Dehzangi, Swakkhar Shatabda, Sanjay Saha, 2017, Journal of theoretical biology.