
Mohammad Mohaiminul IslamUniversity of Amsterdam | UVA · Institute of Informatics
Mohammad Mohaiminul Islam
Master of Science
Computer Vision | Uncertainty-aware deep learning | Medical Image Analysis
About
11
Publications
6,939
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Citations
Introduction
Additional affiliations
January 2022 - November 2022
January 2018 - July 2019
Education
November 2022 - November 2026
September 2020 - February 2021
Université de Bordeaux
Field of study
- Image Processing and Computer Vision
February 2020 - July 2022
Publications
Publications (11)
Sentiment Analysis is the study of people’s opinions and emotional feedbacks towards an entity which can be products, services, individuals or events. The opinions are most presumably be expressed as reviews or comments. With the advent of social networks, forums and blogs, these reviews emerged as an important factor for the customers’ decision fo...
In the era of digital explosion, a huge amount of data is generated every second from different sources, which requires rigorous analysis for decision-making and knowledge gathering. Recently, one such challenging issue that found to be interesting to many researchers is sentiment classification through opinion mining. From the latest research on s...
Bangla handwritten digit recognition (BHDR) is a well-known problem in the digitization of Bangla language and Bengali script. A lot of work has been done on BHDR and very good accuracy has been achieved. This success can be extended to handwritten Bangla character (vowel, consonant) recognition which will result in automatic understanding of Bangl...
Automation is the use of control systems and information technology to control
equipment, industrial machinery and processes, reducing the need for human
intervention. In the scope of industrialization, automation is a step beyond
mechanization. Mechanization provided human operators with machinery to assist
them with the physical requirements of w...
Evaluating treatment response is essential in patients who develop colorectal liver metastases to decide the necessity for second-line treatment or the admissibility for surgery. Currently, RECIST1.1 is the most widely used criteria in this context. However, it involves time-consuming, precise manual delineation and size measurement of main liver m...
A convolutional neural network (CNN) is sometimes understood as a black box in the sense that while it can approximate any function, studying its structure will not give us any insights into the nature of the function being approximated. In other terms, the discriminative ability does not reveal much about the latent representation of a network. Th...
A convolutional neural network (CNN) is sometimes understood as a black box in the sense that while it can approximate any function, studying its structure will not give us any insights into the nature of the function being approximated. In other terms, the discriminative ability does not reveal much about the latent representation of a network. Th...
A convolutional neural network (CNN) is sometimes understood as a black box in the sense that while it can approximate any function, studying its structure will not give us any insights into the nature of the function being approximated. In other terms, the discriminative ability does not reveal much about the latent representation of a network. Th...
Recognition of handwritten characters from Bangla handwritten texts is of immense importance considering the complexity of the task. Researchers have explored the task of recognizing Bangla handwritten digits, but a few numbers of published works are available for Bangla Handwritten Character Recognition (BHCR). In our paper, we present a comparati...
The internet of things (IOT) enables interchange of data between the heterogeneous networks which are self-organizing, self-configured, and dynamic .However, due to the lack of experimentation, integration and implementation , these networks suffer with low interest among users as well as in the industries. Even though some routing protocols for th...
Bangla handwritten digit recognition (BHDR) is a well-known problem in the digitization of Bangla language and Bengali script. A lot of work has been done on BHDR and very good accuracy has been achieved. This success can be extended to handwritten Bangla character (vowel, consonant) recognition which will result in an automatic understanding of Ba...