Robin Szekely

According to our database, Robin Szekely authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Permutation-invariant linear classifiers.

Ludwig Lausser, Robin Szekely, Hans A. Kestler

Mach. Learn., October, 2024

2021

Robust and nonparametric classification of gene expression data.

Robin Szekely

PhD thesis, 2021

Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment.

Julian D. Schwab, Johannes Schobel, Silke D. Werle, Axel Fürstberger, Nensi Ikonomi, Robin Szekely, Patrick Thiam, Rolf Hühne, Niels Jahn, Rainer Schuler, Peter Kuhn, Martin Holderried, Florian Steger, Manfred Reichert, Udo X. Kaisers, Angelika M. R. Kestler, Thomas Seufferlein, Hans A. Kestler

IEEE Access, 2021

2020

Chained correlations for feature selection.

Ludwig Lausser, Robin Szekely, Hans A. Kestler

Adv. Data Anal. Classif., 2020

2018

The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes.

Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler

Neural Process. Lett., 2018

Selecting Features from Foreign Classes.

Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018