activity
20172024
most citedi6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome

1 citations · 2 across the 6 of their papers we have counts for

collaborators

9 papers

cs.LG20241 cited

Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles

Md. Tarek Hasan, Mohammad Nazmush Shamael, H. M. Mutasim Billah +5

Peer review is the quality assessment of a manuscript by one or more peer experts. Papers are submitted by the authors to scientific venues, and these papers must be reviewed by pe…

cs.CL2021

Text2Chart: A Multi-Staged Chart Generator from Natural Language Text

Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat +5

Generation of scientific visualization from analytical natural language text is a challenging task. In this paper, we propose Text2Chart, a multi-staged chart generator method. Tex…

q-bio.GN20201 cited

i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome

Ruhul Amin, Chowdhury Rafeed Rahman, Md. Sadrul Islam Toaha +1

DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification and is responsible for many biological functions. Experimental methods for genome wide 6mA site de…

q-bio.QM2019

iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters

Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat +4

Promoter is a short region of DNA which is responsible for initiating transcription of specific genes. Development of computational tools for automatic identification of promoters…

cs.HC2019

Find It: A Novel Way to Learn Through Play

Md. Tashfiqul Bari, Tanvir Hassan, Raisa Tabassum +2

Autism Spectrum Disorder (ASD) is the area where many researches enduring like Magnetic Resonance Imaging (MRI), called diffusion tensor imaging, Early Start Denver Model (ESDM) to…

cs.LG2018

A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model

Md Mofijul Islam, Amar Debnath, Tahsin Al Sayeed +6

Deep Learning algorithms are often used as black box type learning and they are too complex to understand. The widespread usability of Deep Learning algorithms to solve various mac…