22 citations · 51 across the 7 of their papers we have counts for
7 papers
Überprüfung von Integritätsbedingungen in Deduktiven Datenbanken
Stefan Decker
Advancements in computer science and AI lead to the development of larger, more complex knowledge bases. These are susceptible to contradictions, particularly when multiple experts…
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…
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…
Structured Query Construction via Knowledge Graph Embedding
Ruijie Wang, Meng Wang, Jun Liu +2
In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language ques…
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…