Mohammad Maminur Islam
Mohammad Maminur Islam
Graduate Assistant, University Of Memphis
Bestätigte E-Mail-Adresse bei memphis.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
MM Ahsan, KD Gupta, MM Islam, S Sen, M Rahman, MS Hossain
arXiv preprint arXiv:2007.12525, 2020
32020
Learning mixtures of mlns
MM Islam, S Sarkhel, D Venugopal
Thirty-Second AAAI Conference on Artificial Intelligence, https://www.aaai …, 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
22017
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
MM Ahsan, KD Gupta, MM Islam, S Sen, M Rahman, ...
Machine Learning and Knowledge Extraction 2 (4), 490-504, 2020
12020
On Lifted Inference Using Neural Embeddings
MM Islam, S Sarkhel, D Venugopal
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
12019
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
12018
“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
2020
MAPREDUCE IMPLEMENTATION FOR MALICIOUS WEBSITES CLASSIFICATION
MM Islam, S Poudyal, KD Gupta
Learning Embeddings for Approximate Lifted Inference in MLNs
MM Islam, S Sarkhel, D Venugopal
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