39 citations · 73 across the 9 of their papers we have counts for
9 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…
Towards General Deep Leakage in Federated Learning
Jiahui Geng, Yongli Mou, Feifei Li +4
Unlike traditional central training, federated learning (FL) improves the performance of the global model by sharing and aggregating local models rather than local data to protect…
Secure Evaluation of Knowledge Graph Merging Gain
Leandro Eichenberger, Michael Cochez, Benjamin Heitmann +1
Finding out the differences and commonalities between the knowledge of two parties is an important task. Such a comparison becomes necessary, when one party wants to determine how…
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…
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces
Andrei Ionita, André Pomp, Michael Cochez +2
Smart cities around the world have begun monitoring parking areas in order to estimate available parking spots and help drivers looking for parking. The current results are promisi…
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…
Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies
Michael Cochez, Stefan Decker, Eric Prud'hommeaux
In recent years RDF and OWL have become the most common knowledge representation languages in use on the Web, propelled by the recommendation of the W3C. In this paper we present a…