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2020 – today
- 2025
[j32]Mehedi Hasan Bijoy
, Nahid Hossain, Salekul Islam, Swakkhar Shatabda:
A transformer-based spelling error correction framework for Bangla and resource scarce Indic languages. Comput. Speech Lang. 89: 101703 (2025)- 2024
- [j31]Muhammad Sakib Khan Inan, Nabila Sabrin Sworna, A. K. M. Muzahidul Islam, Salekul Islam, Md. Zulfikar Alom, Mohammad Abdul Azim, Swakkhar Shatabda:
A slice selection guided deep integrated pipeline for Alzheimer's prediction from Structural Brain MRI. Biomed. Signal Process. Control. 89: 105773 (2024) - [j30]Mohaimenul Azam Khan Raiaan, Nur Mohammad Fahad, Md. Saddam Hossain Mukta, Swakkhar Shatabda:
Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images. Biomed. Signal Process. Control. 94: 106279 (2024) - [j29]Proma Hossain Progga, Md. Jobayer Rahman, Swapnil Biswas, Md. Shakil Ahmed, Arif Reza Anwary, Swakkhar Shatabda:
A bidirectional Siamese recurrent neural network for accurate gait recognition using body landmarks. Neurocomputing 605: 128313 (2024) - [j28]Akib Zaman, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma:
SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification. Medical Biol. Eng. Comput. 62(9): 2769-2783 (2024) - [j27]Akib Zaman, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma:
Correction to: SleepBoost: a multi‑level tree‑based ensemble model for automatic sleep stage classification. Medical Biol. Eng. Comput. 62(9): 2785 (2024) - [j26]Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, Hamid Alinejad-Rokny, Iman Dehzangi:
MethEvo: an accurate evolutionary information-based methylation site predictor. Neural Comput. Appl. 36(1): 201-212 (2024) - [j25]Nahid Hossain, Mehedi Hasan Bijoy, Salekul Islam, Swakkhar Shatabda:
Panini: a transformer-based grammatical error correction method for Bangla. Neural Comput. Appl. 36(7): 3463-3477 (2024) - [c23]Ridwan Arefin Islam, Rezwan-Ul-Islam, Swakkhar Shatabda, Salekul Islam:
ElectroBlock: Reinforcement Learning and Blockchain-based Energy Trade to Optimize Tariffs. CIoT 2024: 1-5 - [i26]Al Mohimanul Islam, Sadia Shakiba Bhuiyan, Mysun Mashira, Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda:
Polyp segmentation in colonoscopy images using DeepLabV3++. CoRR abs/2407.19327 (2024) - [i25]Md. Tarek Hasan, Mohammad Nazmush Shamael, H. M. Mutasim Billah, Arifa Akter, Md Al Emran Hossain, Sumayra Islam, Salekul Islam, Swakkhar Shatabda:
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles. CoRR abs/2410.04202 (2024) - 2023
- [j24]Md. Rayhan Ahmed, Salekul Islam, A. K. M. Muzahidul Islam, Swakkhar Shatabda:
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition. Expert Syst. Appl. 218: 119633 (2023) - [j23]Md. Rayhan Ahmed, Md. Asif Iqbal Fahim, A. K. M. Muzahidul Islam, Salekul Islam, Swakkhar Shatabda:
DOLG-NeXt: Convolutional neural network with deep orthogonal fusion of local and global features for biomedical image segmentation. Neurocomputing 546: 126362 (2023) - [j22]Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A. K. M. Muzahidul Islam, Salekul Islam:
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images. Neural Comput. Appl. 35(19): 14379-14401 (2023) - 2022
- [j21]Mohammad Akter Hossain, A. K. M. Muzahidul Islam, Salekul Islam, Swakkhar Shatabda, Ashir Ahmed:
Symptom Based Explainable Artificial Intelligence Model for Leukemia Detection. IEEE Access 10: 57283-57298 (2022) - [j20]Md. Rayhan Ahmed, A. K. M. Muzahidul Islam, Swakkhar Shatabda, Salekul Islam:
Blockchain-Based Identity Management System and Self-Sovereign Identity Ecosystem: A Comprehensive Survey. IEEE Access 10: 113436-113481 (2022) - [j19]Sumit Tarafder, Mazharul Islam, Swakkhar Shatabda, Atif Rahman:
Figbird: a probabilistic method for filling gaps in genome assemblies. Bioinform. 38(15): 3717-3724 (2022) - [j18]Abdullah Al Muksit, Fakhrul Hasan, Md. Fahad Hasan Bhuiyan Emon, Md. Rakibul Haque, Arif Reza Anwary, Swakkhar Shatabda:
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment. Ecol. Informatics 72: 101847 (2022) - [j17]Soumitra Saha, Partho Sarathi Sarker, Alam Al Saud, Swakkhar Shatabda, M. A. Hakim Newton:
Cluster-oriented instance selection for classification problems. Inf. Sci. 602: 143-158 (2022) - [c22]Md. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael, Md Al Emran Hossain, H. M. Mutasim Billah, Sumayra Islam, Swakkhar Shatabda:
Adaptive Tabu Dropout for Regularization of Deep Neural Networks. ICONIP (1) 2022: 355-366 - [c21]Proma Hossain Progga, Swakkhar Shatabda:
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation. ICONIP (3) 2022: 567-578 - [c20]Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md. Saddam Hossain Mukta, Swakkhar Shatabda:
Text2Chart: A Multi-staged Chart Generator from Natural Language Text. PAKDD (2) 2022: 3-16 - [c19]Iftakhar Ali Khandokar, Abdullah-All-Tanvir, Tanvina Khondokar, Nabila Tabassum Jhilik, Swakkhar Shatabda:
A Clustering Based Priority Driven Sampling Technique for Imbalance Data Classification. SKIMA 2022: 176-180 - [i24]Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam, Swakkhar Shatabda:
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages. CoRR abs/2211.03730 (2022) - [i23]Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A. K. M. Muzahidul Islam, Salekul Islam:
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images. CoRR abs/2211.14235 (2022) - 2021
- [j16]H. M. Fazlul Haque, Rafsanjani Muhammod, Fariha Arifin, Sheikh Adilina, Swakkhar Shatabda:
SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences. Comput. Biol. Chem. 92: 107489 (2021) - [j15]Samia Tasnim Sara, Md. Mehedi Hasan, Ahsan Ahmad, Swakkhar Shatabda:
Convolutional neural networks with image representation of amino acid sequences for protein function prediction. Comput. Biol. Chem. 92: 107494 (2021) - [j14]Sayed Mehedi Azim, Md. Rakibul Haque, Swakkhar Shatabda:
OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae. Comput. Biol. Chem. 92: 107502 (2021) - [j13]Nabila Sabrin Sworna, A. K. M. Muzahidul Islam, Swakkhar Shatabda, Salekul Islam:
Towards development of IoT-ML driven healthcare systems: A survey. J. Netw. Comput. Appl. 196: 103244 (2021) - [i22]Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md. Saddam Hossain Mukta, Swakkhar Shatabda:
Text2Chart: A Multi-Staged Chart Generator from Natural Language Text. CoRR abs/2104.04584 (2021) - [i21]Md. Rayhan Ahmed, Salekul Islam, A. K. M. Muzahidul Islam, Swakkhar Shatabda:
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition. CoRR abs/2112.05666 (2021) - 2020
- [j12]Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, Alok Sharma, Shubhashis Roy Dipta, Abdollah Dehzangi, Swakkhar Shatabda:
Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features. IEEE Access 8: 77888-77902 (2020) - [j11]Ruhul Amin, Chowdhury Rafeed Rahman, Sajid Ahmed, Md. Habibur Rahman Sifat, Md Nazmul Khan Liton, Md. Moshiur Rahman, Md Zahid Hossain Khan, Swakkhar Shatabda:
iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters. Bioinform. 36(19): 4869-4875 (2020) - [j10]Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, Md. Easin Arafat, Swakkhar Shatabda, Abdollah Dehzangi:
SEMal: Accurate protein malonylation site predictor using structural and evolutionary information. Comput. Biol. Medicine 125: 104022 (2020) - [j9]Nafees Sadique, Al Amin Neaz Ahmed, Md Tajul Islam, Md. Nawshad Pervage, Swakkhar Shatabda:
Image-based effective feature generation for protein structural class and ligand binding prediction. PeerJ Comput. Sci. 6: e253 (2020) - [i20]Ruhul Amin, Chowdhury Rafeed Rahman, Swakkhar Shatabda, Md. Sadrul Islam Toaha:
i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome. CoRR abs/2007.10458 (2020) - [i19]Alif Choyon, Ashiqur Rahman, Md. Hasanuzzaman, Dewan Md. Farid, Swakkhar Shatabda:
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites. F1000Research 9: 262 (2020)
2010 – 2019
- 2019
- [j8]Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi:
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [j7]Md. Lisul Islam, Swakkhar Shatabda, Mahmood A. Rashid, M. G. M. Khan, M. Sohel Rahman:
Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm. Comput. Biol. Chem. 79: 6-15 (2019) - [c18]Sabila Nawshin, Sarah Ahsin, Mohmmad Ali, Salekul Islam, Swakkhar Shatabda:
Voice-Enabled Intelligent IDE in Cloud. IJCCI 2019: 57-69 - [c17]Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, Md. Abulkalam Azad, Swakkhar Shatabda, Dewan Md. Farid:
Big Data with Decision Tree Induction. SKIMA 2019: 1-6 - [i18]Md. Tashfiqul Bari, Tanvir Hassan, Raisa Tabassum, Zubaida Ahmed, Swakkhar Shatabda:
Find It: A Novel Way to Learn Through Play. CoRR abs/1907.05800 (2019) - [i17]Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, Md Nazmul Khan Liton, Md. Moshiur Rahman, Swakkhar Shatabda, Sajid Ahmed:
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters. CoRR abs/1912.10251 (2019) - [i16]Nafees Sadique, Al Amin Neaz Ahmed, Md Tajul Islam, Md. Nawshad Pervage, Swakkhar Shatabda:
Image based effective feature generation for protein structural class and ligand binding prediction. PeerJ Prepr. 7: e27743 (2019) - 2018
- [j6]Md. Rafsan Jani, Md Toha Khan Mozlish, Sajid Ahmed, Niger Sultana Tahniat, Dewan Md. Farid, Swakkhar Shatabda:
iRecSpot-EF: Effective sequence based features for recombination hotspot prediction. Comput. Biol. Medicine 103: 17-23 (2018) - [c16]Sakib Shahriar Khan, Shakim Ahamed, Miftahul Jannat, Swakkhar Shatabda, Dewan Md. Farid:
Classification by Clustering (CbC): An Approach of Classifying Big Data Based on Similarities. IJCCI 2018: 593-605 - [i15]Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda:
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction. CoRR abs/1806.07174 (2018) - [i14]Md. Mofijul Islam, Amar Debnath, Tahsin Al Sayeed, Jyotirmay Nag Setu, Md Mahmudur Rahman, Md Sadman Sakib, Md. Abdur Razzaque, Md. Mosaddek Khan, Swakkhar Shatabda:
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model. CoRR abs/1811.08374 (2018) - 2017
- [c15]Sujata Baral, Swakkhar Shatabda, Mahmood A. Rashid:
CycloAnt: sequencing cyclic peptides using hybrid ants. GECCO 2017: 4-11 - [c14]Fahim Shahriar, Aakib Bin Nesar, Naweed Mohammad Mahbub, Swakkhar Shatabda:
EGAGP: An enhanced genetic algorithm for producing efficient graph partitions. NSysS (2) 2017: 1-9 - [c13]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
MEBoost: Mixing estimators with boosting for imbalanced data classification. SKIMA 2017: 1-6 - [i13]Al Amin Neaz Ahmed, H. M. Fazlul Haque, Abdur Rahman, Md Susam Ashraf, Sanjay Saha, Swakkhar Shatabda:
A Participatory Sensing Framework for Environment Pollution Monitoring and Management. CoRR abs/1701.06429 (2017) - [i12]Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman:
iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting. CoRR abs/1707.00994 (2017) - [i11]Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification. CoRR abs/1711.05365 (2017) - [i10]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid:
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification. CoRR abs/1712.04356 (2017) - [i9]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification. CoRR abs/1712.06658 (2017) - 2016
- [i8]Rezaul Karim, Mohd. Momin Al Aziz, Swakkhar Shatabda, Mohammad Sohel Rahman:
A novel and effective scoring scheme for structure classification and pairwise similarity measurement. CoRR abs/1610.01052 (2016) - 2015
- [c12]Shanjida Khatun, Hasib Ul Alam, Mahmood A. Rashid, Swakkhar Shatabda:
Gene Transfer: A Novel Genetic Operator for Discovering Diverse-Frequent Patterns. Australasian Conference on Artificial Intelligence 2015: 309-316 - [c11]Md. Lisul Islam, Novia Nurain, Swakkhar Shatabda, M. Sohel Rahman:
FGPGA: An efficient genetic approach for producing feasible graph partitions. NSysS 2015: 1-8 - [i7]Shanjida Khatun, Hasib Ul Alam, Swakkhar Shatabda:
An Efficient Genetic Algorithm for Discovering Diverse-Frequent Patterns. CoRR abs/1507.05275 (2015) - 2014
- [j5]Swakkhar Shatabda, M. A. Hakim Newton, Mahmood A. Rashid, Duc Nghia Pham, Abdul Sattar:
How Good Are Simplified Models for Protein Structure Prediction? Adv. Bioinformatics 2014: 867179:1-867179:9 (2014) - [j4]Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Abdul Sattar:
A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction. Adv. Bioinformatics 2014: 985968:1-985968:17 (2014) - [c10]Md. Lisul Islam, Swakkhar Shatabda, Mohammad Sohel Rahman:
GreMuTRRR: A novel genetic algorithm to solve distance geometry problem for protein structures. BIBM 2014: 38-42 - [c9]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Constraint-Based Evolutionary Local Search for Protein Structures with Secondary Motifs. PRICAI 2014: 333-344 - [i6]Rezaul Karim, Mohd. Momin Al Aziz, Swakkhar Shatabda, M. Sohel Rahman, Md. Abul Kashem Mia, Farhana Zaman, Salman Rakin:
CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval. CoRR abs/1409.0814 (2014) - [i5]Md. Lisul Islam, Swakkhar Shatabda, Mohammad Sohel Rahman:
GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures. CoRR abs/1411.4246 (2014) - [i4]Md. Lisul Islam, Novia Nurain, Swakkhar Shatabda, M. Sohel Rahman:
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions. CoRR abs/1411.4379 (2014) - [i3]Mohammad Murtaza Mahmud, Swakkhar Shatabda, Mohammad Nurul Huda:
GraATP: A Graph Theoretic Approach for Automated Theorem Proving in Plane Geometry. CoRR abs/1412.5980 (2014) - [i2]Muktadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan Md. Farid:
Stochastic Local Search for Pattern Set Mining. CoRR abs/1412.5984 (2014) - 2013
- [j3]Mahmood A. Rashid, M. A. Hakim Newton, Tamjidul Hoque, Swakkhar Shatabda, Duc Nghia Pham, Abdul Sattar:
Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice. BMC Bioinform. 14(S-2): S16 (2013) - [j2]Swakkhar Shatabda, M. A. Hakim Newton, Mahmood A. Rashid, Duc Nghia Pham, Abdul Sattar:
The road not taken: retreat and diverge in local search for simplified protein structure prediction. BMC Bioinform. 14(S-2): S19 (2013) - [c8]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Mixed Heuristic Local Search for Protein Structure Prediction. AAAI 2013: 876-882 - [c7]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Simplified Lattice Models for Protein Structure Prediction: How Good Are They? AAAI 2013: 1639-1640 - [c6]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction. Australasian Conference on Artificial Intelligence 2013: 44-55 - [c5]Swakkhar Shatabda, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar:
A Hybrid Local Search for Simplified Protein Structure Prediction. BIOINFORMATICS 2013: 158-163 - [c4]Swakkhar Shatabda, M. A. Hakim Newton, Mahmood A. Rashid, Abdul Sattar:
An efficient encoding for simplified protein structure prediction using genetic algorithms. IEEE Congress on Evolutionary Computation 2013: 1217-1224 - [i1]Swakkhar Shatabda, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar:
A Hybrid Local Search for Simplified Protein Structure Prediction. CoRR abs/1310.8583 (2013) - 2012
- [c3]Swakkhar Shatabda, Muhammad Abdul Hakim Newton, Duc Nghia Pham, Abdul Sattar:
Memory-based local search for simplified protein structure prediction. BCB 2012: 345-352 - [c2]Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Duc Nghia Pham, Abdul Sattar:
Random-walk: a stagnation recovery technique for simplified protein structure prediction. BCB 2012: 620-622
2000 – 2009
- 2008
- [j1]Atif Rahman, Swakkhar Shatabda, Masud Hasan:
An approximation algorithm for sorting by reversals and transpositions. J. Discrete Algorithms 6(3): 449-457 (2008) - 2007
- [c1]Atif Rahman, Swakkhar Shatabda, Masud Hasan:
Approximation Algorithm for Sorting by Reversals and Transpositions. WALCOM 2007: 97-108
Coauthor Index
M. A. Hakim Newton
aka: Muhammad Abdul Hakim Newton
aka: Muhammad Abdul Hakim Newton
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