Articles with public access mandates - Franz PernkopfLearn more
Not available anywhere: 8
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
Mandates: Austrian Science Fund
Crackle and breathing phase detection in lung sounds with deep bidirectional gated recurrent neural networks
E Messner, M Fediuk, P Swatek, S Scheidl, FM Smolle-Juttner, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Mandates: Austrian Science Fund
Representation learning for single-channel source separation and bandwidth extension
M Zöhrer, R Peharz, F Pernkopf
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015
Mandates: Austrian Science Fund
Eigenvector-based speech mask estimation for multi-channel speech enhancement
L Pfeifenberger, M Zöhrer, F Pernkopf
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
Mandates: Austrian Science Fund
Bayesian neural networks with weight sharing using Dirichlet processes
W Roth, F Pernkopf
IEEE transactions on pattern analysis and machine intelligence 42 (1), 246-252, 2018
Mandates: Austrian Science Fund
Respiratory airflow estimation from lung sounds based on regression
E Messner, M Hagmüller, P Swatek, FM Smolle-Jüttner, F Pernkopf
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Mandates: Austrian Science Fund
Resource efficient deep eigenvector beamforming
M Zohrer, L Pfeifenberger, G Schindler, H Froning, F Pemkopf
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Mandates: Austrian Science Fund
Towards efficient forward propagation on resource-constrained systems
G Schindler, M Zöhrer, F Pernkopf, H Fröning
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
Mandates: Austrian Science Fund, German Research Foundation
Available somewhere: 93
Sparse nonnegative matrix factorization with ℓ0-constraints
R Peharz, F Pernkopf
Neurocomputing 80, 38-46, 2012
Mandates: Austrian Science Fund
A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario.
G Pirker, M Wohlmayr, S Petrik, F Pernkopf
Interspeech, 1509-1512, 2011
Mandates: Austrian Science Fund
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
Mandates: Austrian Science Fund
On theoretical properties of sum-product networks
R Peharz, S Tschiatschek, F Pernkopf, P Domingos
Artificial Intelligence and Statistics, 744-752, 2015
Mandates: Austrian Science Fund
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
Mandates: Bill & Melinda Gates Foundation, US National Institutes of Health, Austrian …
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
Mandates: Austrian Science Fund
Greedy part-wise learning of sum-product networks
R Peharz, BC Geiger, F Pernkopf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
Mandates: Austrian Science Fund
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
Mandates: Austrian Science Fund
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
Mandates: Austrian Science Fund, European Commission
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
Mandates: Austrian Science Fund
Maximum margin Bayesian network classifiers
F Pernkopf, M Wohlmayr, S Tschiatschek
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 521-532, 2011
Mandates: Austrian Science Fund
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
Mandates: Austrian Science Fund
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