Mohammad Maminur Islam

According to our database, Mohammad Maminur Islam authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling.

Hyun Lee, Chris Yi, Mohammad Maminur Islam, B. D. S. Aritra

CoRR, May, 2025

2024

Enhancing Graph Representation Learning with WalkLM for Effective Community Detection.

Hyun Lee, Mohammad Maminur Islam, Chris Yi, Chandranil Nil Chakraborttii

Proceedings of the 11th International Conference on Networking, Systems, and Security, 2024

TAP: Transformers Driven Adaptive Prefetching for Hybrid Memory Systems.

Chandranil Chakraborttii, Mohammad Maminur Islam

Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence, 2024

MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers.

Chandranil Chakraborttii, Mohammad Maminur Islam

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2021

Contrastive Learning in Neural Tensor Networks using Asymmetric Examples.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Md. Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain

Mach. Learn. Knowl. Extr., 2020

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.

Md. Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain

CoRR, 2020

Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

On Lifted Inference Using Neural Embeddings.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Scaling up Inference in MLNs with Spark.

Mohammad Maminur Islam, Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Learning Mixtures of MLNs.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adaptive blocked Gibbs sampling for inference in probabilistic graphical models.

Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017