Mohammad Maminur Islam

Adaptive blocked Gibbs sampling for inference in probabilistic graphical models

Deepak Venugopal, Mohammad Maminur Islam, Mohammad Khan Al Farabi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Scaling up Inference in MLNs with Spark

Somdeb Sarkhel, Deepak Venugopal, Mohammad Maminur Islam, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Learning Mixtures of MLNs

Somdeb Sarkhel, Deepak Venugopal, Mohammad Maminur Islam, 2018, AAAI.

Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset pdf

Kishor Datta Gupta, Sajib Sen, Md Lutfar Rahman, 2020, ArXiv.

COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities

Kishor Datta Gupta, Md Lutfar Rahman, Mohammad Maminur Islam, 2020, Mach. Learn. Knowl. Extr..

Contrastive Learning in Neural Tensor Networks using Asymmetric Examples

Mohammad Maminur Islam, D. Venugopal, Somdeb Sarkhel, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks

Mohammad Maminur Islam, D. Venugopal, Somdeb Sarkhel, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset

Kishor Datta Gupta, Md Lutfar Rahman, Mohammad Maminur Islam, 2020, ArXiv.

COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities

Kishor Datta Gupta, Md Lutfar Rahman, Mohammad Maminur Islam, 2020, Mach. Learn. Knowl. Extr..