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Franz Pernkopf
Title
Cited by
Cited by
Year
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
3592005
Sparse nonnegative matrix factorization with ℓ0-constraints
R Peharz, F Pernkopf
Neurocomputing 80, 38-46, 2012
2022012
Image acquisition techniques for automatic visual inspection of metallic surfaces
F Pernkopf, P O'Leary
NDT & E International 36 (8), 609-617, 2003
1792003
Bayesian network classifiers versus selective k-NN classifier
F Pernkopf
Pattern recognition 38 (1), 1-10, 2005
1562005
A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario.
G Pirker, M Wohlmayr, S Petrik, F Pernkopf
Interspeech, 1509-1512, 2011
1482011
Detection of surface defects on raw steel blocks using Bayesian network classifiers
F Pernkopf
Pattern Analysis and Applications 7, 333-342, 2004
1352004
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
1302016
On theoretical properties of sum-product networks
R Peharz, S Tschiatschek, F Pernkopf, P Domingos
Artificial Intelligence and Statistics, 744-752, 2015
1302015
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
1142018
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
1072005
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
932010
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
922017
Greedy part-wise learning of sum-product networks
R Peharz, BC Geiger, F Pernkopf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
882013
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
872010
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
822014
Visual inspection of machined metallic high-precision surfaces
F Pernkopf, P O'Leary
EURASIP Journal on Advances in Signal Processing 2002, 1-12, 2002
812002
Maximum margin Bayesian network classifiers
F Pernkopf, M Wohlmayr, S Tschiatschek
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 521-532, 2011
772011
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
722020
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
612020
Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters.
T Nguyen, F Pernkopf
DCASE, 34-38, 2018
612018
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