| Genetic-based EM algorithm for learning Gaussian mixture models F Pernkopf, D Bouchaffra IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (8), 1344-1348, 2005 | 372 | 2005 |
| Sparse nonnegative matrix factorization with ℓ0-constraints R Peharz, F Pernkopf Neurocomputing 80, 38-46, 2012 | 220 | 2012 |
| Image acquisition techniques for automatic visual inspection of metallic surfaces F Pernkopf, P O'Leary NDT & E International 36 (8), 609-617, 2003 | 179 | 2003 |
| Bayesian network classifiers versus selective k-NN classifier F Pernkopf Pattern recognition 38 (1), 1-10, 2005 | 166 | 2005 |
| A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. G Pirker, M Wohlmayr, S Petrik, F Pernkopf Interspeech, 1509-1512, 2011 | 162 | 2011 |
| On the latent variable interpretation in sum-product networks R Peharz, R Gens, F Pernkopf, P Domingos IEEE transactions on pattern analysis and machine intelligence 39 (10), 2030 …, 2016 | 144 | 2016 |
| Detection of surface defects on raw steel blocks using Bayesian network classifiers F Pernkopf Pattern Analysis and Applications 7, 333-342, 2004 | 143 | 2004 |
| Heart sound segmentation—an event detection approach using deep recurrent neural networks E Messner, M Zöhrer, F Pernkopf IEEE transactions on biomedical engineering 65 (9), 1964-1974, 2018 | 142 | 2018 |
| On theoretical properties of sum-product networks R Peharz, S Tschiatschek, F Pernkopf, P Domingos Artificial Intelligence and Statistics, 744-752, 2015 | 142 | 2015 |
| Lung sound classification using co-tuning and stochastic normalization T Nguyen, F Pernkopf IEEE Transactions on Biomedical Engineering 69 (9), 2872-2882, 2022 | 121 | 2022 |
| Discriminative versus generative parameter and structure learning of Bayesian network classifiers F Pernkopf, J Bilmes Proceedings of the 22nd international conference on Machine learning, 657-664, 2005 | 109 | 2005 |
| A novel way to measure and predict development: A heuristic approach to facilitate the early detection of neurodevelopmental disorders PB Marschik, FB Pokorny, R Peharz, D Zhang, J O’Muircheartaigh, ... Current neurology and neuroscience reports 17, 1-15, 2017 | 108 | 2017 |
| Source–filter-based single-channel speech separation using pitch information M Stark, M Wohlmayr, F Pernkopf IEEE Transactions on Audio, Speech, and Language Processing 19 (2), 242-255, 2010 | 93 | 2010 |
| Greedy part-wise learning of sum-product networks R Peharz, BC Geiger, F Pernkopf Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 92 | 2013 |
| Lung sound classification using snapshot ensemble of convolutional neural networks T Nguyen, F Pernkopf 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 91 | 2020 |
| Modeling speech with sum-product networks: Application to bandwidth extension R Peharz, G Kapeller, P Mowlaee, F Pernkopf 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 88 | 2014 |
| A probabilistic interaction model for multipitch tracking with factorial hidden Markov models M Wohlmayr, M Stark, F Pernkopf IEEE Transactions on Audio, Speech, and Language Processing 19 (4), 799-810, 2010 | 88 | 2010 |
| Multi-channel lung sound classification with convolutional recurrent neural networks E Messner, M Fediuk, P Swatek, S Scheidl, FM Smolle-Jüttner, ... Computers in Biology and Medicine 122, 103831, 2020 | 82 | 2020 |
| Visual inspection of machined metallic high-precision surfaces F Pernkopf, P O'Leary EURASIP Journal on Advances in Signal Processing 2002, 1-12, 2002 | 81 | 2002 |
| Maximum margin Bayesian network classifiers F Pernkopf, M Wohlmayr, S Tschiatschek IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 521-532, 2011 | 75 | 2011 |
Robert PeharzAssistant Professor of AI, TU GrazVerified email at tugraz.at