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Md Mahmudul Hasan
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2020 – today
- 2024
- [j13]Jabed Al Faysal, Md. Noor-E.-Alam
, Gary J. Young, Wei-Hsuan Lo-Ciganic, Amie J. Goodin
An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals. Comput. Biol. Medicine 177: 108493 (2024) - [j12]Md Mahmudul Hasan
Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning. Comput. Methods Programs Biomed. 243: 107925 (2024) - [j11]Mahbuba Ferdowsi
Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model. Comput. Methods Programs Biomed. 254: 108289 (2024) - [c17]Ahmed Abdullah Khaled, Md Mahmudul Hasan, Shareeful Islam, Spyridon Papastergiou, Haralambos Mouratidis:
Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection. AIAI (1) 2024: 362-374 - [i10]Dennis Monari, Jack Larkin, Pedro Machado, Jordan J. Bird, Isibor Kennedy Ihianle
UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection. CoRR abs/2401.06157 (2024) - [i9]Md Mahmudul Hasan, Shaikh Anowarul Fattah:
A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters. CoRR abs/2402.15992 (2024) - [i8]Matthew Gazzard, Helen Hicks
WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware. CoRR abs/2405.07349 (2024) - 2023
- [j10]Md Mahmudul Hasan, Xianyi Zeng
A central compact hybrid-variable method with spectral-like resolution: One-dimensional case. J. Comput. Appl. Math. 421: 114894 (2023) - [c16]Md Mahmudul Hasan, Rajesh Kumar Plamthottathil, Mohammad Jabed Morshed Chowdhury, Dipto Sarkar, Nazia Hameed, Silvia Cirstea:
Circulogy: An AI-Enabled Blockchain-Based e-Waste Management Framework Using Non-Fungible Tokens (NFT) to Achieve Net Zero and Imply the Circular Economy. ICBC 2023: 1-3 - [c15]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP 2023: 2400-2404 - [c14]Md Mahmudul Hasan, Abu Kowshir Bitto
Net0Chain: An AI-Enabled Climate and Environmental Risks (CER) Framework for Achieving Net-Zero. SKIMA 2023: 163-168 - [c13]Md Mahmudul Hasan, Silvia Cirstea, Meherun Nesa Shraboni
NeuroXRFitness: Music Therapy for Mental Stress Relief Using EEG Signal. SKIMA 2023: 231-236 - [i7]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR abs/2303.02310 (2023) - 2022
- [c12]Joe Farrell, Nazia Hameed
Designing a Classification Algorithm for Skin Lesions. SKIMA 2022: 21-26 - [c11]Md Mahmudul Hasan, Pamela Knight
A Novel Framework for Co-designing of An Artificial Intelligence Based Television-enabled Application to Address Social Isolation and Alleviating Loneliness for Older People. SKIMA 2022: 42-47 - 2021
- [j9]Md Mahmudul Hasan, Gary J. Young, Jiesheng Shi, Prathamesh Mohite, Leonard D. Young, Scott G. Weiner, Md. Noor-E.-Alam:
A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study. BMC Medical Informatics Decis. Mak. 21(1): 331 (2021) - 2020
- [b1]Md Mahmudul Hasan:
An intelligent decision-making scheme in a dynamic multi-objective environment using deep reinforcement learning. Anglia Ruskin University, Cambridge, UK, 2020 - [j8]Md Mahmudul Hasan, Dizuo Jiang, A. M. M. Sharif Ullah
Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Syst. Appl. 139 (2020) - [c10]Minhaz Uddin, Ashadul Hoque Jahin, Md Mahmudul Hasan:
A Hybrid Framework for Interconnecting Various Software Engineering Process Models and Techniques. ICCA 2020: 13:1-13:4 - [c9]Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Latent Factor Analysis of Gaussian Distributions under Graphical Constraints. ISIT 2020: 2580-2585 - [i6]Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Latent Factor Analysis of Gaussian Distributions under Graphical Constraints. CoRR abs/2001.02712 (2020) - [i5]Md Mahmudul Hasan, Shuangqing Wei, Ramachandran Vaidyanathan:
Efficient, Effective and Well Justified Estimation of Active Nodes within a Cluster. CoRR abs/2001.09494 (2020) - [i4]Xianyi Zeng, Md Mahmudul Hasan:
On the Stability of Explicit Finite Difference Methods for Advection-Diffusion Equations. CoRR abs/2006.07799 (2020)
2010 – 2019
- 2019
- [j7]Md Mahmudul Hasan, Khin T. Lwin, Maryam Imani
Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality. Eng. Appl. Artif. Intell. 86: 107-135 (2019) - [c8]Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Algebraic Properties of Wyner Common Information Solution under Graphical Constraints. ISIT 2019: 712-716 - [i3]Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Algebraic Properties of Wyner Common Information Solution under Graphical Constraints. CoRR abs/1901.06466 (2019) - 2018
- [j6]Kingshuk Mukherjee, Md Mahmudul Hasan, Christina Boucher, Tamer Kahveci:
Counting motifs in dynamic networks. BMC Syst. Biol. 12(1): 1-12 (2018) - [j5]Md Abdul Alim
Construction of Signaling Pathways with RNAi Data and Multiple Reference Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1079-1091 (2018) - [c7]Md Mahmudul Hasan, Shuangqing Wei, Ramachandran Vaidyanathan:
Estimation of RFID Tag Population Size by Gaussian Estimator. ICC 2018: 1-6 - [i2]Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Latent Factor Analysis of Gaussian Distributions under Graphical Constraints. CoRR abs/1801.03481 (2018) - 2017
- [i1]Md Mahmudul Hasan, Shuangqing Wei, Ramachandran Vaidyanathan:
Estimation of RFID Tag Population Size by Gaussian Estimator. CoRR abs/1701.05952 (2017) - 2016
- [j4]Yuanfang Ren, Qiyao Wang, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci:
Identifying the topology of signaling networks from partial RNAi data. BMC Syst. Biol. 10(S-2): 53 (2016) - [c6]Md Mahmudul Hasan, Kamal J. AbuHassan
Reversible decision support system: Minimising cognitive dissonance in multi-criteria based complex system using fuzzy analytic hierarchy process. CEEC 2016: 210-215 - 2015
- [j3]Md Mahmudul Hasan, Tamer Kahveci:
Indexing a protein-protein interaction network expedites network alignment. BMC Bioinform. 16: 326:1-326:17 (2015) - [c5]Md Abdul Alim, Ahmet Ay, Md Mahmudul Hasan, My T. Thai, Tamer Kahveci:
Multiple reference networks improve accuracy of signaling network construction. BCB 2015: 176-185 - [c4]Qiyao Wang, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci:
Construction of signaling networks with incomplete RNAi data. BIBM 2015: 157-162 - 2014
- [j2]Md Mahmudul Hasan, Rozina Akter, Md. Shahin Ullah, Md. Jaynul Abedin, G. M. Ahsan Ullah, Md. Zakir Hossain
A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome. Adv. Bioinformatics 2014: 967946:1-967946:8 (2014) - [c3]Md Mahmudul Hasan, Tamer Kahveci:
Incremental network querying in biological networks. BCB 2014: 752-759 - 2013
- [j1]Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci:
A scalable method for discovering significant subnetworks. BMC Syst. Biol. 7(S-4): S3 (2013) - [c2]Md Mahmudul Hasan, Tamer Kahveci:
Color distribution can accelerate network alignment. BCB 2013: 52 - 2012
- [c1]Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci:
SiS: Significant subnetworks in massive number of network topologies. BIBM 2012: 1-6
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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