Robert Peharz
About
Robert Peharz has authored 21 papers that have received a total of 351 indexed citations.
This includes 16 papers in Artificial Intelligence, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Gaussian Processes and Bayesian Inference (6 papers), Machine Learning and Data Classification (5 papers) and Bayesian Modeling and Causal Inference (5 papers). Robert Peharz is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Machine Learning and Data Classification (5 papers) and Bayesian Modeling and Causal Inference (5 papers) and collaborates with scholars based in Austria, United Kingdom and Germany. Robert Peharz's co-authors include Franz Pernkopf, Peter B. Marschik, Christa Einspieler, Kristian Kersting and Sebastian Tschiatschek and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Neurocomputing
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