39 citations · 73 across the 11 of their papers we have counts for
11 papers
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer
Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal +3
Domain experts often rely on most recent knowledge for apprehending and disseminating specific biological processes that help them design strategies for developing prevention and t…
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
Md. Rezaul Karim, Lina Molinas Comet, Oya Beyan +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…
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim, Tanhim Islam, Oya Beyan +4
Artificial intelligence (AI) systems utilizing deep neural networks (DNNs) and machine learning (ML) algorithms are widely used for solving important problems in bioinformatics, bi…
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…
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
Md. Rezaul Karim, Md. Shajalal, Alex Graß +5
Deep neural networks (DNNs) have been shown to outperform traditional machine learning algorithms in a broad variety of application domains due to their effectiveness in modeling c…
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…
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…
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…
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…
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…
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
Md. Rezaul Karim, Michael Cochez, Achille Zappa +4
The study of genetic variants can help find correlating population groups to identify cohorts that are predisposed to common diseases and explain differences in disease susceptibil…