Journal Articles (17)
- 1. Julia Rahman, MA Hakim Newton, Mohammed Eunus Ali, Abdul Sattar; "Distance plus attention for binding affinity prediction", Journal of Cheminformatics 16 (1), 52, 2024
- 2. Jiffriya Mohamed Abdul Cader, MA Hakim Newton, Julia Rahman, Akmal Jahan Mohamed Abdul Cader, Abdul Sattar; "Ensembling methods for protein-ligand binding affinity prediction", Scientific Reports 14 (1), 24447, 2024
- 3. Julia Rahman, MA Hakim Newton, Md Al Mehedi Hasan, Abdul Sattar; "Real-to-bin conversion for protein residue distances", Computational Biology and Chemistry 104, 107834, 2023
- 4. MM Mohamed Mufassirin, MA Hakim Newton, Julia Rahman, Abdul Sattar; "Multi-S3p: protein secondary structure prediction with specialized multi-network and self-attention-based deep learning model", IEEE Access 11, 57083-57096, 2023
- 5. Julia Rahman, MA Hakim Newton, Md Khaled Ben Islam, Abdul Sattar; "Enhancing protein inter-residue real distance prediction by scrutinising deep learning models", Scientific Reports 12 (1), 787, 2022
- 6. MA Hakim Newton, Julia Rahman, Rianon Zaman, Abdul Sattar; "Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors", Computational Biology and Chemistry 99, 107700, 2022
- 7. Julia Rahman, MA Hakim Newton, Md Al Mehedi Hasan, Abdul Sattar; "A stacked meta-ensemble for protein inter-residue distance prediction", Computers in Biology and Medicine 148, 105824, 2022
- 8. Md Khaled Ben Islam, MA Hakim Newton, Julia Rahman, Jarrod Trevathan, Abdul Sattar; "Long range multi-step water quality forecasting using iterative ensembling", Engineering Applications of Artificial Intelligence 114, 105166, 2022
- 9. MA Hakim Newton, Rianon Zaman, Fereshteh Mataeimoghadam, Julia Rahman, Abdul Sattar; "Constraint guided beta-sheet refinement for protein structure prediction", Computational Biology and Chemistry, 107773, 2022
- 10. Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, Shamim Ahmad; "predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance", Plos one 16 (4), e0249396, 2021
- 11. Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam, Shamim Ahmad; "predML-Site: Predicting Multiple Lysine PTM Sites with Optimal Feature Representation and Data Imbalance Minimization", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-1, 2021
- 12. Md Khaled Ben Islam, Julia Rahman, Md Al Mehedi Hasan, Shamim Ahmad; "predForm-Site: Formylation site prediction by incorporating multiple features and resolving data imbalance", Computational Biology and Chemistry 94, 107553, 2021
- 13. Afrida Rahman, Julia Rahman, Sabit Ahmed, Md Al Mehedi Hasan; "Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC", IEEE Region 10 Symposium (TENSYMP), 2020
- 14. Md AM Hasan, Md K Ben Islam, Julia Rahman, Shamim Ahmad; "Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue", Current Bioinformatics 15 (3), 235-245, 2020
- 15. Md Khaled Ben Islam, Md Nazrul Islam Mondal, Julia Rahman, Md Al Mehedi Hassan; "DV-iSucLys: Decision Voting to Improve Protein Lysine Succinylation Site Identification from Sequence Data", American Journal of Biomedical and Life Sciences 5 (6), 135-143, 2017
- 16. Julia Rahman, Nazrul Islam Mondal, Khaled Ben Islam, Al Mehedi Hasan; "Feature fusion based svm classifier for protein subcellular localization prediction", Journal of integrative bioinformatics 13 (1), 23-33, 2016
- 17. Boshir Ahmed, Md Khaled Ben Islam, Julia Rahman; "Simulation, Analysis and Performance Comparison among different Routing Protocols for Wireless Sensor Network", Computer Engineering and Intelligent Systems 2 (4), 61-71, 2011
Conference Papers (8)
- 1. Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam; "Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets", 2020 IEEE Region 10 Symposium (TENSYMP), 2020
- 2. A Intisar, MKB Islam, Julia Rahman; "A Deep Convolutional Neural Network Based Small Scale Test-bed for Autonomous Car", International Conference on Computing Advancements (ICCA 2020), 2020
- 3. Md Jahidul Islam, Julia Rahman, Md Khaled Ben Islam; "Improving Patient Cohort Identification using Neural Word Embedding with Structured Analysis", 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2019
- 4. Utsha Das, Md Al Mehedi Hasan, Julia Rahman; "Influential Gene Identification for Cancer Classification", 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019
- 5. Habibur Rahman, Julia Rahman, Asmaul Husna; "WALGES: Weighted Probability Based Scoring Approach for Solving Algebraic Word Problems using Semantic Parsing", 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019
- 6. KM Shawkat Zamil, Julia Rahman; "Prediction of Protein-Protein Interaction from Amino Acid Sequence Using Ensemble Classifier", 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), 2018
- 7. Julia Rahman, Md Nazrul Islam Mondal, Md Khaled Ben Islam, Md Al Mehedi Hasan, SM Sabbir Amin; "Gram-positive bacterial protein subcellular localization prediction using features fusion strategy", 2016 9th International Conference on Electrical and Computer Engineering (ICECE), 2016
- 8. ulia Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam; "Comparative analysis the performance of AODV, DSDV and DSR routing protocols in wireless sensor network", 2012 7th International Conference on Electrical and Computer Engineering, 2012