9 citations · 22 across the 7 of their papers we have counts for
7 papers
Simple Contrastive Representation Learning for Time Series Forecasting
Xiaochen Zheng, Xingyu Chen, Manuel Schürch +3
Contrastive learning methods have shown an impressive ability to learn meaningful representations for image or time series classification. However, these methods are less effective…
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
Aron N. Horvath, Matteo Berchier, Farhad Nooralahzadeh +2
Background: Federated learning methods offer the possibility of training machine learning models on privacy-sensitive data sets, which cannot be easily shared. Multiple regulations…
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
Kyriakos Schwarz, Alicia Pliego-Mendieta, Amina Mollaysa +4
Drug synergy arises when the combined impact of two drugs exceeds the sum of their individual effects. While single-drug effects on cell lines are well-documented, the scarcity of…
AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
Kyriakos Schwarz, Ahmed Allam, Nicolas Andres Perez Gonzalez +1
Background: Drug-drug interactions (DDIs) refer to processes triggered by the administration of two or more drugs leading to side effects beyond those observed when drugs are admin…
Patient Similarity Analysis with Longitudinal Health Data
Ahmed Allam, Matthias Dittberner, Anna Sintsova +2
Healthcare professionals have long envisioned using the enormous processing powers of computers to discover new facts and medical knowledge locked inside electronic health records.…
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks
Laura Kinkead, Ahmed Allam, Michael Krauthammer
Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the i…