Swakkhar Shatabda

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Dewan Md. FaridProfessor of Computer Science, United International UniversityDirección de correo verificada de cse.uiu.ac.bd
Iman DehzangiAssistant Professor at the Department of Computer Science, Rutgers UniversityDirección de correo verificada de rutgers.edu
Alok SharmaSenior Scientist at RIKEN; Griffith University; Korea UniversityDirección de correo verificada de griffith.edu.au
Sajid AhmedGraduate Student, Vanderbilt UniversityDirección de correo verificada de vanderbilt.edu
Newton M A HakimLecturer - Data Science, The University of Newcastle, AustraliaDirección de correo verificada de newcastle.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityDirección de correo verificada de griffith.edu.au
M Sohel RahmanCSE, BUETDirección de correo verificada de cse.buet.ac.bd
Mahmood A. RashidGriffith University, AustraliaDirección de correo verificada de griffith.edu.au
Sanjay SahaPhD Candidate, Computer Science, National University of SingaporeDirección de correo verificada de comp.nus.edu.sg
Duc Nghia PhamMIMOS BerhadDirección de correo verificada de griffith.edu.au
Md Rayhan AhmedPh.D. Student, University of British ColumbiaDirección de correo verificada de mail.ubc.ca
Zaynab MousavianKarolinska InstituteDirección de correo verificada de ki.se
Saddam MuktaPost-doctoral Researcher, LUT University, FinlandDirección de correo verificada de lut.fi
Gazelle TaherzadehWilkes UniversityDirección de correo verificada de wilkes.edu
Atif RahmanBangladesh University of Engineering and Technology (BUET)Dirección de correo verificada de cse.buet.ac.bd
Md Mofijul IslamPhD Student, University of VirginiaDirección de correo verificada de virginia.edu
Masud HasanUniversity of Prince MugrinDirección de correo verificada de upm.edu.sa
KaykobadProfessor, Computer Science and Engineering, BUETDirección de correo verificada de cse.buet.ac.bd

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Swakkhar Shatabda

School of Data and Sciences, BRAC University

Dirección de correo verificada de bracu.ac.bd

optimization machine learning computational biology bioinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
DPP-PseAAC: a DNA-binding protein prediction model using Chou’s general PseAAC MS Rahman, S Shatabda, S Saha, M Kaykobad, MS Rahman Journal of theoretical biology 452, 22-34, 2018	154	2018
Cusboost: Cluster-based under-sampling with boosting for imbalanced classification F Rayhan, S Ahmed, A Mahbub, R Jani, S Shatabda, DM Farid 2017 2nd international conference on computational systems and information …, 2017	116	2017
iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting F Rayhan, S Ahmed, S Shatabda, DM Farid, Z Mousavian, A Dehzangi, ... Scientific reports 7 (1), 17731, 2017	114	2017
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences R Muhammod, S Ahmed, D Md Farid, S Shatabda, A Sharma, A Dehzangi Bioinformatics 35 (19), 3831-3833, 2019	111	2019
iDNAProt-ES: identification of DNA-binding proteins using evolutionary and structural features SY Chowdhury, S Shatabda, A Dehzangi Scientific reports 7 (1), 14938, 2017	105	2017
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition MR Ahmed, S Islam, AKMM Islam, S Shatabda Expert Systems with Applications 218, 119633, 2023	94	2023
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment A Al Muksit, F Hasan, MFHB Emon, MR Haque, AR Anwary, S Shatabda Ecological Informatics 72, 101847, 2022	84	2022
An approximation algorithm for sorting by reversals and transpositions A Rahman, S Shatabda, M Hasan Journal of Discrete Algorithms 6 (3), 449-457, 2008	80	2008
Towards development of IoT-ML driven healthcare systems: A survey NS Sworna, AKMM Islam, S Shatabda, S Islam Journal of Network and Computer Applications 196, 103244, 2021	76	2021
ACP-MHCNN: An accurate multi-headed deep-convolutional neural network to predict anticancer peptides S Ahmed, R Muhammod, ZH Khan, S Adilina, A Sharma, S Shatabda, ... Scientific reports 11 (1), 23676, 2021	66	2021
FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction F Rayhan, S Ahmed, Z Mousavian, DM Farid, S Shatabda Heliyon 6 (3), 2020	63	2020
iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components MA Al Maruf, S Shatabda Genomics 111 (4), 966-972, 2019	58	2019
Hybrid methods for class imbalance learning employing bagging with sampling techniques S Ahmed, A Mahbub, F Rayhan, R Jani, S Shatabda, DM Farid 2017 2nd International Conference on Computational Systems and Information …, 2017	58	2017
Effective DNA binding protein prediction by using key features via Chou’s general PseAAC S Adilina, DM Farid, S Shatabda Journal of theoretical biology 460, 64-78, 2019	55	2019
Improving detection accuracy for imbalanced network intrusion classification using cluster-based under-sampling with random forests MO Miah, SS Khan, S Shatabda, DM Farid 2019 1st international conference on advances in science, engineering and …, 2019	54	2019
iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters R Amin, CR Rahman, S Ahmed, MHR Sifat, MNK Liton, MM Rahman, ... Bioinformatics 36 (19), 4869-4875, 2020	52	2020
HMMBinder: DNA‐binding protein prediction using HMM profile based features R Zaman, SY Chowdhury, MA Rashid, A Sharma, A Dehzangi, ... BioMed research international 2017 (1), 4590609, 2017	47	2017
Blockchain-based identity management system and self-sovereign identity ecosystem: A comprehensive survey MR Ahmed, AKMM Islam, S Shatabda, S Islam IEEE Access 10, 113436-113481, 2022	45	2022
Locate-R: subcellular localization of long non-coding RNAs using nucleotide compositions A Ahmad, H Lin, S Shatabda Genomics 112 (3), 2583-2589, 2020	44	2020
iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier MS Rahman, U Aktar, MR Jani, S Shatabda Genomics 111 (5), 1160-1166, 2019	42	2019

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