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Mohammad Maminur Islam
Mohammad Maminur Islam
Assistant Professor, Trinity College
Verified email at memphis.edu - Homepage
Title
Cited by
Cited by
Year
Covid-19 symptoms detection based on nasnetmobile with explainable ai using various imaging modalities
MM Ahsan, KD Gupta, MM Islam, S Sen, ML Rahman, ...
Machine Learning and Knowledge Extraction 2 (4), 490-504, 2020
164*2020
“can nlp techniques be utilized as a reliable tool for medical science?”-building a nlp framework to classify medical reports
N Sadman, S Tasneem, A Haque, MM Islam, MM Ahsan, KD Gupta
2020 11th IEEE Annual Information Technology, Electronics and Mobile …, 2020
112020
On Lifted Inference Using Neural Embeddings
MM Islam, S Sarkhel, D Venugopal
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
92019
Learning mixtures of mlns
MM Islam, S Sarkhel, D Venugopal
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
62018
Augmenting deep learning with relational knowledge from markov logic networks
MM Islam, S Sarkhel, D Venugopal
2020 IEEE International Conference on Big Data (Big Data), 54-63, 2020
42020
MAPREDUCE IMPLEMENTATION FOR MALICIOUS WEBSITES CLASSIFICATION
MM Islam, S Poudyal, KD Gupta
International Journal of Network Security & Its Applications (IJNSA) 11, 2019
32019
Scaling up inference in mlns with spark
MM Islam, KM Al Farabi, S Sarkhel, D Venugopal
2018 IEEE International Conference on Big Data (Big Data), 118-125, 2018
32018
Adaptive blocked gibbs sampling for inference in probabilistic graphical models
MM Islam, MK Al Farabi, D Venugopal
2017 International Joint Conference on Neural Networks (IJCNN), 262-269, 2017
32017
Contrastive learning in neural tensor networks using asymmetric examples
MM Islam, S Sarkhel, D Venugopal
2021 IEEE International Conference on Big Data (Big Data), 28-39, 2021
12021
MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers
C Chakraborttii, MM Islam
2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024
2024
EXPLAINABLE VIDEO PERFORMANCE PREDICTION
MMI Somdeb Sarkhel, Viswanathan Swaminathan, Stefano Petrangeli
US Patent 11,430,219, 2022
2022
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
M Manjurul Ahsan, K Datta Gupta, M Maminur Islam, S Sen, ...
arXiv e-prints, arXiv: 2007.12525, 2020
2020
Learning Embeddings for Approximate Lifted Inference in MLNs
MM Islam, S Sarkhel, D Venugopal
32nd Conference on Neural Information Processing Systems(NIPS), 2018
2018
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