Swakkhar Shatabda

发表

iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier.

Md. Rafsan Jani, M. Rahman, Usma Aktar, 2019, Genomics.

iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components.

Swakkhar Shatabda, Md Abdullah Al Maruf, 2019, Genomics.

Identification from Song Lyrics Nazmun Nisat Ontika Student

M. N. Huda, Swakkhar Shatabda, 2019 .

Abusive Comments Detection in Bangla-English Code-mixed and Transliterated Text

Swakkhar Shatabda, Maliha Jahan, Istiak Ahamed, 2019, 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET).

Predicting Academic Performance: Analysis of Students’ Mental Health Condition from Social Media Interactions

Md. Saddam Hossain Mukta, Swakkhar Shatabda, Salekul Islam, 2022, Behavioral sciences.

Subcellular Localization of Gram-Negative Proteins Using Label Powerset Encoding

Swakkhar Shatabda, R. Uddin, Hasnaeen Ferdous, 2018, Advances in Intelligent Systems and Computing.

Prediction of Bacteriophage Protein Locations Using Deep Neural Networks

Arefeen Rahman Niloy, Farzana Afrin Taniza, Swakkhar Shatabda, 2018, Advances in Intelligent Systems and Computing.

au Spiral Search : A Hydrophobic-Core Directed Local Search for Simplified PSP on 3 D FCC Lattice

Mahmood A. Rashid, M. A. Hakim Newton, Swakkhar Shatabda, 2017 .

A new effective algorithm for protein chain lattice fit problem

Farhan Anan Himu, Swakkhar Shatabda, Khushnur Binte Jahangir, 2015, 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).

MethEvo: an accurate evolutionary information-based methylation site predictor

Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, 2022, Neural Computing and Applications.

Symptom Based Explainable Artificial Intelligence Model for Leukemia Detection

Swakkhar Shatabda, Salekul Islam, Ashir Ahmed, 2022, IEEE Access.

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

Md. Rayhan Ahmed, Swakkhar Shatabda, Salekul Islam, 2021, Expert Syst. Appl..

Blockchain-Based Identity Management System and Self-Sovereign Identity Ecosystem: A Comprehensive Survey

Md. Rayhan Ahmed, Swakkhar Shatabda, Salekul Islam, 2022, IEEE Access.

Accurately predicting microbial phosphorylation sites using evolutionary and structural features.

Md. Al Mehedi Hasan, Swakkhar Shatabda, Iman Dehzangi, 2022, Gene.

CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks.

T. Tsunoda, Swakkhar Shatabda, Alok Sharma, 2022, Gene.

DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images

Adnan Ferdous Ashrafi, Md. Rayhan Ahmed, Swakkhar Shatabda, 2022, Neural Computing and Applications.

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).

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).

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

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

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..

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

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

PanClassif: Improving pan cancer classification of single cell RNA-seq gene expression data using machine learning

Swakkhar Shatabda, F. Yeasmin, Kazi Ferdous Mahin, 2021, bioRxiv.

Figbird: A probabilistic method for filling gaps in genome assemblies

Swakkhar Shatabda, A. Rahman, Sumit Tarafder, 2021, bioRxiv.

Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites

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

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

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

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.

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

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

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

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

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.

An Effective Leukemia Prediction Technique Using Supervised Machine Learning Classification Algorithm

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

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

Md. Rafsan Jani, M. Rahman, Usma Aktar, 2018, Molecular Genetics and Genomics.

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

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

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

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

Efficient conformational space exploration in ab initio protein folding simulation

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

How Good Are Simplified Models for Protein Structure Prediction?

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

Improved performance of Lysine Glutarylation PTM using Peptide Evolutionary Features

Md. Wakil Ahmad, Md. Easin Arafat, Md. Al Mehedi Hasan, 2019, 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE).

DeepAmp: A Convolutional Neural Network Based Tool for Predicting Protein AMPylation Sites From Binary Profile Representation

Sayed Mehedi Azim, Swakkhar Shatabda, A. Dehzangi, 2021 .

CycloAnt: sequencing cyclic peptides using hybrid ants

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

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides

Swakkhar Shatabda, A. Dehzangi, Alok Sharma, 2020, Scientific Reports.

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.

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

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

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

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

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

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

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

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

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).

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.

A Participatory Sensing Framework for Environment Pollution Monitoring and Management pdf

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

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..

Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques –A Comprehensive Survey

Md. Towhidul Islam Robin, Md. Rayhan Ahmed, Swakkhar Shatabda, 2021 .

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

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

YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment

Md. Rakibul Haque, Arif Reza Anwary, Swakkhar Shatabda, 2022, Ecol. Informatics.

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

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

A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome

Md. Sadrul Islam Toaha, Swakkhar Shatabda, Ruhul Amin, 2020, Scientific reports.

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

Md Nazmul Khan Liton, Md. Habibur Rahman Sifat, Md. Moshiur Rahman, 2019, bioRxiv.

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

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

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

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

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

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

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).

An approximation algorithm for sorting by reversals and transpositions

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

Memory-based local search for simplified protein structure prediction

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

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

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

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).

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).

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

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

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).

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.

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

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

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

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

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.

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

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

Supervised Machine Learning for Multi-label Classification of Bangla Articles

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

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).

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).

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).

BanglaSER: A speech emotion recognition dataset for the Bangla language

Md. Rayhan Ahmed, Swakkhar Shatabda, Salekul Islam, 2022, Data in brief.

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).

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).

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..

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.

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

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

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation

Sayed Mehedi Azim, Swakkhar Shatabda, Alok Sharma, 2022, Scientific Reports.

FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs

Tareque Mohmud Chowdhury, Md Ashiqur Rahman, Swakkhar Shatabda, 2023, Scientific data.

Cluster-oriented instance selection for classification problems

M. A. Hakim Newton, Partho Sarathi Sarker, Swakkhar Shatabda, 2022, Inf. Sci..

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).

PCA-ANN: Feature selection based hybrid intrusion detection system in software defined network

Swakkhar Shatabda, Salekul Islam, Sabila Nawshin, 2024, Journal of Intelligent & Fuzzy Systems.

A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price

Swakkhar Shatabda, Mohammad Ali, 2020, 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT).

Layered Ensemble Learning for Effective Binary Classification

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

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

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

A Clustering Based Priority Driven Sampling Technique for Imbalance Data Classification

Abdullah-All-Tanvir, Iftakhar Ali Khandokar, Swakkhar Shatabda, 2022, 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA).

A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome

Md. Sadrul Islam Toaha, Swakkhar Shatabda, Ruhul Amin, 2021, Scientific Reports.

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.

Virtual screening of flavonoids as potential RIPK1 inhibitors for neurodegeneration therapy

Swakkhar Shatabda, A. Bepari, H. M. Reza, 2024, PeerJ.

Polyp segmentation in colonoscopy images using DeepLabV3++

Md. Rayhan Ahmed, Swakkhar Shatabda, Salekul Islam, 2024, ArXiv.

DOLG-NeXt: Convolutional neural network with deep orthogonal fusion of local and global features for biomedical image segmentation

Swakkhar Shatabda, Salekul Islam, A. Islam, 2023, Neurocomputing.

A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

Md. Saddam Hossain Mukta, Swakkhar Shatabda, Mohaimenul Azam Khan Raiaan, 2024, Decision Analytics Journal.

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

Swakkhar Shatabda, A. Dehzangi, Alok Sharma, 2019, Bioinform..

A Convolutional Neural Network for Goal Recognition

Swakkhar Shatabda, Nusrat Jahan Tithi, 2023, 2023 26th International Conference on Computer and Information Technology (ICCIT).