activity
20182022
most citedQuestion Answering Over Biological Knowledge Graph via Amazon Alexa

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

collaborators

7 papers

cs.AI20224 cited

Question Answering Over Biological Knowledge Graph via Amazon Alexa

Md. Rezaul Karim, Hussain Ali, Prinon Das +2

Structured and unstructured data and facts about drugs, genes, protein, viruses, and their mechanism are spread across a huge number of scientific articles. These articles are a la…

cs.CL2020

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam +6

The exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also enables people to…

cs.CL20202 cited

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae +1

Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices but also enables people to expre…

eess.IV2020

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann +3

Amid the coronavirus disease(COVID-19) pandemic, humanity experiences a rapid increase in infection numbers across the world. Challenge hospitals are faced with, in the fight again…

q-bio.QM2019

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data

Md. Rezaul Karim, Michael Cochez, Oya Beyan +2

The discovery of important biomarkers is a significant step towards understanding the molecular mechanisms of carcinogenesis; enabling accurate diagnosis for, and prognosis of, a c…

cs.LG2019

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares +3

Interference between pharmacological substances can cause serious medical injuries. Correctly predicting so-called drug-drug interactions (DDI) does not only reduce these cases but…