Mohammad Maminur Islam

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 8

Top Topics

Statistical Relational

Probabilistic Graphical Models

Markov Logic Networks

Top Venues

Publications

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. IEEE BigData (2021)
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks. IEEE BigData (2020)
Md. Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain
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. CoRR (2020)
Md. Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities. Mach. Learn. Knowl. Extr. 2 (4) (2020)
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
On Lifted Inference Using Neural Embeddings. AAAI (2019)
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
Learning Mixtures of MLNs. AAAI (2018)
Mohammad Maminur Islam, Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal
Scaling up Inference in MLNs with Spark. IEEE BigData (2018)
Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. IJCNN (2017)