1 citations · 1 across the 3 of their papers we have counts for
4 papers
Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport
Mehmet Yigit Balik, Harri Lähdesmäki
Single-cell RNA sequencing provides insights into gene expression at single-cell resolution, yet inferring temporal processes from these static snapshot measurements remains a fund…
Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stay
Mehmet Yigit Balik
Predicting hospital length of stay (LOS) reliably is an essential need for efficient resource allocation at hospitals. Traditional predictive modeling tools frequently have difficu…
Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals
Toygar Tanyel, Sezgin Atmaca, Kaan Gökçe +4
In the evolving landscape of ECG signal analysis, the challenge of limited transparency in machine learning models remains a significant barrier to their effective integration into…
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets
Mehmet Yigit Balik, Arwa Rekik, Islem Rekik
Graph neural networks (GNNs) have achieved extraordinary enhancements in various areas including the fields medical imaging and network neuroscience where they displayed a high acc…