Philipp Probst

14 papers and 1.5k indexed citations i.

Philipp Probst has authored 14 papers that have received a total of 1.5k indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Epidemiology and 3 papers in Emergency Medicine. The topics of these papers are Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Philipp Probst is often cited by papers focused on Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and Algorithms (3 papers) and collaborates with scholars based in Germany, The Netherlands and United Kingdom. Philipp Probst's co-authors include Anne‐Laure Boulesteix, Bernd Bischl, Quay Au, Barbara Schäpers and Klaus Jahn and has published in prestigious journals such as Critical Care Medicine, BMC Bioinformatics and Journal of Machine Learning Research