Johannes Jurgovsky
About
Johannes Jurgovsky has authored 4 papers that have received a total of 201 indexed citations.
This includes 3 papers in Artificial Intelligence, 3 papers in Accounting and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Imbalanced Data Classification Techniques (3 papers), Financial Distress and Bankruptcy Prediction (3 papers) and Data Visualization and Analytics (1 paper). Johannes Jurgovsky is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Financial Distress and Bankruptcy Prediction (3 papers) and Data Visualization and Analytics (1 paper) and collaborates with scholars based in Germany, Austria and France. Johannes Jurgovsky's co-authors include Michael Granitzer, Liyun He-Guelton, Pierre-Édouard Portier, Christin Seifert and Olivier Caelen and has published in prestigious journals such as Expert Systems with Applications and Knowledge and Information Systems
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