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Franz Pernkopf
Person information
- affiliation: Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria
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2020 – today
- 2024
- [c115]Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf:
Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. ICASSP 2024: 6695-6699 - [i37]Christian Oswald, Máté Tóth, Paul Meissner, Franz Pernkopf:
Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar. CoRR abs/2401.05385 (2024) - [i36]Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz:
Rao-Blackwellising Bayesian Causal Inference. CoRR abs/2402.14781 (2024) - [i35]Harald Leisenberger, Christian Knoll, Franz Pernkopf:
On the Convexity and Reliability of the Bethe Free Energy Approximation. CoRR abs/2405.15514 (2024) - [i34]Benedikt Kantz, Clemens Staudinger, Christoph Feilmayr, Johannes Wachlmayr, Alexander Haberl, Stefan Schuster, Franz Pernkopf:
Robustness of Explainable Artificial Intelligence in Industrial Process Modelling. CoRR abs/2407.09127 (2024) - 2023
- [j37]Christian Knoll
, Adrian Weller
, Franz Pernkopf
:
Self-Guided Belief Propagation - A Homotopy Continuation Method. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5139-5157 (2023) - [c114]Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf:
Self-Attention for Enhanced OAMP Detection in MIMO Systems. ICASSP 2023: 1-5 - [c113]Jakob Möderl
, Erik Leitinger, Franz Pernkopf, Klaus Witrisal:
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals. ICASSP 2023: 1-5 - [c112]Christian Knoll, Franz Pernkopf:
Reliable Belief Propagation: Recent Theoretical and Practical Advances. MLSP 2023: 1-6 - [e5]Irena Koprinska
, Paolo Mignone, Riccardo Guidotti
, Szymon Jaroszewicz, Holger Fröning
, Francesco Gullo, Pedro M. Ferreira
, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk
, João Gama
, Rita P. Ribeiro, Ricard Gavaldà
, Elio Masciari
, Zbigniew W. Ras
, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek
, Wouter Verbeke
, Gregor Schiele
, Franz Pernkopf
, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice
, Giuseppina Andresini
, Ibéria Medeiros, Guilherme Graça
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Diego Saldana Miranda, Konstantinos Sechidis
, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet
, Sepideh Pashami
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e4]Irena Koprinska
, Paolo Mignone, Riccardo Guidotti
, Szymon Jaroszewicz, Holger Fröning
, Francesco Gullo, Pedro M. Ferreira
, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk
, João Gama
, Rita P. Ribeiro, Ricard Gavaldà
, Elio Masciari
, Zbigniew W. Ras
, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek
, Wouter Verbeke, Gregor Schiele
, Franz Pernkopf
, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice
, Giuseppina Andresini
, Ibéria Medeiros, Guilherme Graça
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Diego Saldana Miranda, Konstantinos Sechidis
, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet
, Sepideh Pashami
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - [i33]Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf:
Self-attention for Enhanced OAMP Detection in MIMO Systems. CoRR abs/2303.07821 (2023) - [i32]Christian Oswald, Máté Tóth, Paul Meissner, Franz Pernkopf:
End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation. CoRR abs/2312.09790 (2023) - 2022
- [j36]Lukas Pfeifenberger
, Franz Pernkopf
:
Blind Speech Separation and Dereverberation using neural beamforming. Speech Commun. 140: 29-41 (2022) - [j35]Truc Nguyen
, Franz Pernkopf
:
Lung Sound Classification Using Co-Tuning and Stochastic Normalization. IEEE Trans. Biomed. Eng. 69(9): 2872-2882 (2022) - [c111]Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann:
Example or Prototype? Learning Concept-Based Explanations in Time-Series. ACML 2022: 816-831 - [c110]David Peter, Wolfgang Roth, Franz Pernkopf
:
End-to-End Keyword Spotting Using Neural Architecture Search and Quantization. ICASSP 2022: 3423-3427 - [c109]Barbara Schuppler
, Emil Berger
, Xenia Kogler, Franz Pernkopf
:
Homophone Disambiguation Profits from Durational Information. INTERSPEECH 2022: 3198-3202 - [c108]Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen:
Active Bayesian Causal Inference. NeurIPS 2022 - [c107]Harald Leisenberger, Franz Pernkopf, Christian Knoll:
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation. UAI 2022: 1085-1095 - [i31]Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf:
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation. CoRR abs/2201.10360 (2022) - [i30]Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio, William Millar, Lukas Felsberger, Lorenz Fischl, Holger Severin Bovbjerg, Daniel Wollmann, Walter Wuensch, Nuria Catalan Lasheras, Marçà Boronat, Franz Pernkopf, Graeme Burt:
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities. CoRR abs/2202.05610 (2022) - [i29]Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf
, Robert Peharz, Julius von Kügelgen:
Active Bayesian Causal Inference. CoRR abs/2206.02063 (2022) - 2021
- [j34]Johanna Rock
, Wolfgang Roth
, Máté Tóth, Paul Meissner
, Franz Pernkopf
:
Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation. IEEE J. Sel. Top. Signal Process. 15(4): 927-940 (2021) - [j33]Philipp Aichinger
, Franz Pernkopf
:
Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms. IEEE ACM Trans. Audio Speech Lang. Process. 29: 914-926 (2021) - [c106]Truc Nguyen, Franz Pernkopf
:
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks. EMBC 2021: 80-83 - [c105]Stefan Fragner, Tobias Topar, Maximilian Giller, Lukas Pfeifenberger, Franz Pernkopf:
Autonomous Robot for Measuring Room Impulse Responses. Interspeech 2021: 2341-2342 - [c104]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
:
Acoustic Echo Cancellation with Cross-Domain Learning. Interspeech 2021: 4753-4757 - [c103]Harald Leisenberger, Christian Knoll, Richard Seeber, Franz Pernkopf:
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions. UAI 2021: 1863-1873 - [e3]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i28]Lukas Pfeifenberger, Franz Pernkopf:
Blind Speech Separation and Dereverberation using Neural Beamforming. CoRR abs/2103.13443 (2021) - [i27]David Peter, Wolfgang Roth, Franz Pernkopf:
End-to-end Keyword Spotting using Neural Architecture Search and Quantization. CoRR abs/2104.06666 (2021) - [i26]Truc Nguyen, Franz Pernkopf:
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks. CoRR abs/2104.14921 (2021) - [i25]Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf:
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation. CoRR abs/2105.00929 (2021) - [i24]Truc Nguyen, Franz Pernkopf:
Lung Sound Classification Using Co-tuning and Stochastic Normalization. CoRR abs/2108.01991 (2021) - [i23]Alexander Fuchs, Christian Knoll, Franz Pernkopf:
Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. CoRR abs/2110.01955 (2021) - 2020
- [j32]Elmar Messner
, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf
:
Multi-channel lung sound classification with convolutional recurrent neural networks. Comput. Biol. Medicine 122: 103831 (2020) - [j31]Wolfgang Roth
, Franz Pernkopf
:
Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 246-252 (2020) - [j30]Nikolaus Mutsam
, Franz Pernkopf
:
Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences. IEEE Trans. Instrum. Meas. 69(9): 6101-6111 (2020) - [c102]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen:
Deep Structured Mixtures of Gaussian Processes. AISTATS 2020: 2251-2261 - [c101]Truc Nguyen, Franz Pernkopf
:
Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks. EMBC 2020: 760-763 - [c100]Truc Nguyen, Franz Pernkopf
, Michal Kosmider:
Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. ICASSP 2020: 126-130 - [c99]Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf
, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. ICASSP 2020: 806-810 - [c98]David Peter, Wolfgang Roth, Franz Pernkopf
:
Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. ICPR 2020: 9273-9279 - [c97]Wolfgang Roth, Franz Pernkopf
, Günther Schindler, Holger Fröning:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. ICPR 2020: 10297-10304 - [c96]Lukas Pfeifenberger, Franz Pernkopf
:
Nonlinear Residual Echo Suppression Using a Recurrent Neural Network. INTERSPEECH 2020: 3950-3954 - [c95]Günther Schindler, Wolfgang Roth, Franz Pernkopf
, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. LOD (2) 2020: 16-27 - [c94]Wolfgang Roth, Franz Pernkopf:
Differentiable TAN Structure Learning for Bayesian Network Classifiers. PGM 2020: 389-400 - [e1]João Gama
, Sepideh Pashami
, Albert Bifet
, Moamar Sayed Mouchaweh
, Holger Fröning
, Franz Pernkopf
, Gregor Schiele
, Michaela Blott
:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1325, Springer 2020, ISBN 978-3-030-66769-6 [contents] - [i22]Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. CoRR abs/2001.03048 (2020) - [i21]Alexander Fuchs, Franz Pernkopf:
Wasserstein Routed Capsule Networks. CoRR abs/2007.11465 (2020) - [i20]Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf:
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. CoRR abs/2007.11477 (2020) - [i19]Wolfgang Roth, Franz Pernkopf:
Differentiable TAN Structure Learning for Bayesian Network Classifiers. CoRR abs/2008.09566 (2020) - [i18]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. CoRR abs/2010.11773 (2020) - [i17]Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf:
Quantized Neural Networks for Radar Interference Mitigation. CoRR abs/2011.12706 (2020) - [i16]Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf:
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals. CoRR abs/2012.02529 (2020) - [i15]David Peter, Wolfgang Roth, Franz Pernkopf:
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. CoRR abs/2012.10138 (2020)
2010 – 2019
- 2019
- [j29]Philipp Aichinger
, Franz Pernkopf
, Jean Schoentgen:
Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices. Biomed. Signal Process. Control. 50: 158-167 (2019) - [j28]Lukas Pfeifenberger
, Matthias Zöhrer
, Franz Pernkopf
:
Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2162-2172 (2019) - [c93]Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf:
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. FUSION 2019: 1-8 - [c92]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
:
Deep Complex-valued Neural Beamformers. ICASSP 2019: 2902-2906 - [c91]Truc Nguyen, Franz Pernkopf
:
Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer. ICME 2019: 1666-1671 - [c90]Alexander Fuchs, Robin Priewald, Franz Pernkopf
:
Recurrent Dilated DenseNets for a Time-Series Segmentation Task. ICMLA 2019: 75-80 - [c89]Truc Nguyen, Alexander Fuchs, Franz Pernkopf
:
Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. ICMLA 2019: 871-875 - [c88]Truc Nguyen, Franz Pernkopf
:
Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation. INTERSPEECH 2019: 2330-2334 - [c87]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. NeurIPS 2019: 6344-6355 - [c86]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
:
Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. ECML/PKDD (2) 2019: 382-398 - [c85]Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf
, Wolfgang Roth, Astrid Rupp, Martin Tappler
, Markus Tranninger
:
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning. ICTSS 2019: 3-21 - [c84]Bernhard K. Aichernig, Franz Pernkopf
, Richard Schumi, Andreas Wurm:
Predicting and Testing Latencies with Deep Learning: An IoT Case Study. TAP@FM 2019: 93-111 - [c83]Christian Knoll, Franz Pernkopf:
Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? UAI 2019: 627-636 - [i14]Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. CoRR abs/1905.08196 (2019) - [i13]Martin Trapp, Robert Peharz
, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. CoRR abs/1905.10884 (2019) - [i12]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. CoRR abs/1906.05180 (2019) - [i11]Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf:
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. CoRR abs/1906.10044 (2019) - [i10]Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger:
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). CoRR abs/1907.04708 (2019) - [i9]Martin Trapp, Robert Peharz
, Franz Pernkopf, Carl E. Rasmussen:
Deep Structured Mixtures of Gaussian Processes. CoRR abs/1910.04536 (2019) - 2018
- [j27]Christian Knoll
, Dhagash Mehta, Tianran Chen, Franz Pernkopf
:
Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2124-2136 (2018) - [j26]Wolfgang Roth, Robert Peharz
, Sebastian Tschiatschek, Franz Pernkopf
:
Hybrid generative-discriminative training of Gaussian mixture models. Pattern Recognit. Lett. 112: 131-137 (2018) - [j25]Philipp Aichinger
, Martin Hagmüller
, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf
:
Tracking of Multiple Fundamental Frequencies in Diplophonic Voices. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 330-341 (2018) - [j24]Elmar Messner
, Matthias Zöhrer, Franz Pernkopf
:
Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1964-1974 (2018) - [c82]Truc Nguyen, Franz Pernkopf:
Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters. DCASE 2018: 34-38 - [c81]Robert Harb, Franz Pernkopf:
Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement. DCASE 2018: 83-87 - [c80]Elmar Messner, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf
:
Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks. EMBC 2018: 356-359 - [c79]Günther Schindler, Matthias Zöhrer, Franz Pernkopf
, Holger Fröning:
Towards Efficient Forward Propagation on Resource-Constrained Systems. ECML/PKDD (1) 2018: 426-442 - [i8]Tobias Schrank, Franz Pernkopf:
Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. CoRR abs/1806.00981 (2018) - [i7]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Sum-Product Networks for Sequence Labeling. CoRR abs/1807.02324 (2018) - [i6]Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf:
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. CoRR abs/1809.04400 (2018) - [i5]Robert Harb, Franz Pernkopf:
Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement. CoRR abs/1810.06897 (2018) - [i4]Christian Knoll, Florian Kulmer, Franz Pernkopf:
Self-Guided Belief Propagation - A Homotopy Continuation Method. CoRR abs/1812.01339 (2018) - [i3]Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. CoRR abs/1812.02240 (2018) - 2017
- [j23]Philipp Aichinger
, Martin Hagmüller
, Imme Roesner, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf
:
Fundamental frequency tracking in diplophonic voices. Biomed. Signal Process. Control. 37: 69-81 (2017) - [j22]Robert Peharz
, Robert Gens, Franz Pernkopf
, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2030-2044 (2017) - [c78]Elmar Messner, Martin Hagmüller
, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf
:
Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds. BIOSIGNALS 2017: 49-53 - [c77]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
:
DNN-based speech mask estimation for eigenvector beamforming. ICASSP 2017: 66-70 - [c76]Elmar Messner, Martin Hagmüller
, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf
:
Respiratory airflow estimation from lung sounds based on regression. ICASSP 2017: 1123-1127 - [c75]Matthias Zöhrer, Franz Pernkopf
:
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. INTERSPEECH 2017: 493-497 - [c74]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
:
Frame and Segment Level Recurrent Neural Networks for Phone Classification. INTERSPEECH 2017: 1318-1322 - [c73]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
:
Eigenvector-Based Speech Mask Estimation Using Logistic Regression. INTERSPEECH 2017: 2660-2664 - [c72]Christian Knoll, Franz Pernkopf:
On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields. UAI 2017 - [c71]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. UAI 2017 - [i2]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. CoRR abs/1710.03444 (2017) - 2016
- [j21]Nikolaus Mutsam, Franz Pernkopf
:
Maximum margin hidden Markov models for sequence classification. Pattern Recognit. Lett. 77: 14-20 (2016) - [c70]Elmar Messner, Martin Hagmüller
, Paul Swatek, Franz Pernkopf
:
A Robust Multichannel Lung Sound Recording Device. BIODEVICES 2016: 34-39 - [c69]Matthias Zöhrer, Franz Pernkopf:
Gated Recurrent Networks applied to Acoustic Scene Classification. DCASE 2016: 115-119 - [c68]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
:
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification. INTERSPEECH 2016: 2756-2760 - [c67]Florian B. Pokorny
, Robert Peharz
, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf
, Peter B. Marschik, Björn W. Schuller
:
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. INTERSPEECH 2016: 2997-3001 - [c66]Johannes Fahringer, Tobias Schrank, Johannes Stahl, Pejman Mowlaee
, Franz Pernkopf
:
Phase-Aware Signal Processing for Automatic Speech Recognition. INTERSPEECH 2016: 3374-3378 - [i1]Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. CoRR abs/1601.06180 (2016) - 2015
- [j20]Sebastian Tschiatschek, Franz Pernkopf
:
On Bayesian Network Classifiers with Reduced Precision Parameters. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 774-785 (2015) - [j19]Matthias Zöhrer, Robert Peharz
, Franz Pernkopf
:
Representation Learning for Single-Channel Source Separation and Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2398-2409 (2015) - [c65]Florian B. Pokorny
, Franz Graf, Franz Pernkopf
, Björn W. Schuller
:
Detection of negative emotions in speech signals using bags-of-audio-words. ACII 2015: 879-884 - [c64]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos:
On Theoretical Properties of Sum-Product Networks. AISTATS 2015 - [c63]Lukas Pfeifenberger, Tobias Schrank, Matthias Zöhrer, Martin Hagmüller
, Franz Pernkopf
:
Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results. ASRU 2015: 452-459 - [c62]Matthias Zöhrer, Franz Pernkopf
:
Representation models in single channel source separation. ICASSP 2015: 713-717 - [c61]Matthias Zöhrer, Robert Peharz, Franz Pernkopf:
On representation learning for artificial bandwidth extension. INTERSPEECH 2015: 791-795 - [c60]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Neural higher-order factors in conditional random fields for phoneme classification. INTERSPEECH 2015: 2137-2141 - [c59]Sebastian Tschiatschek, Franz Pernkopf
:
Parameter Learning of Bayesian Network Classifiers Under Computational Constraints. ECML/PKDD (1) 2015: 86-101 - [c58]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
:
Structured Regularizer for Neural Higher-Order Sequence Models. ECML/PKDD (1) 2015: 168-183 - [c57]Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf
:
Message Scheduling Methods for Belief Propagation. ECML/PKDD (2) 2015: 295-310 - 2014
- [c56]Lukas Pfeifenberger, Franz Pernkopf:
A multi-channel postfilter based on the diffuse noise sound field. EUSIPCO 2014: 686-690 - [c55]A. Zehetner, Martin Hagmüller, Franz Pernkopf:
Wake-up-word spotting for mobile systems. EUSIPCO 2014: 1472-1476 - [c54]Christina Leitner, Juan Andres Morales-Cordovilla, Franz Pernkopf:
Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition. EUSIPCO 2014: 1801-1805 - [c53]Robert Peharz
, Georg Kapeller, Pejman Mowlaee
, Franz Pernkopf
:
Modeling speech with sum-product networks: Application to bandwidth extension. ICASSP 2014: 3699-3703 - [c52]Matthias Zöhrer, Franz Pernkopf:
Single channel source separation with general stochastic networks. INTERSPEECH 2014: 978-982 - [c51]Michael Wohlmayr, Ludwig Mohr, Franz Pernkopf:
Self-adaption in single-channel source separation. INTERSPEECH 2014: 1003-1007 - [c50]Lukas Pfeifenberger, Franz Pernkopf:
Blind source extraction based on a direction-dependent a-priori SNR. INTERSPEECH 2014: 2700-2704 - [c49]Matthias Zöhrer, Franz Pernkopf:
General Stochastic Networks for Classification. NIPS 2014: 2015-2023 - [c48]Sebastian Tschiatschek, Karin Paul, Franz Pernkopf
:
Integer Bayesian Network Classifiers. ECML/PKDD (3) 2014: 209-224 - 2013
- [j18]Franz Pernkopf
, Michael Wohlmayr:
Stochastic margin-based structure learning of Bayesian network classifiers. Pattern Recognit. 46(2): 464-471 (2013) - [j17]Michael Wohlmayr, Franz Pernkopf
:
Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. IEEE Trans. Speech Audio Process. 21(8): 1742-1754 (2013) - [c47]Sebastian Tschiatschek, Franz Pernkopf:
On the Asymptotic Optimality of Maximum Margin Bayesian Networks. AISTATS 2013: 590-598 - [c46]Sebastian Tschiatschek, Carlos Eduardo Cancino Chacón
, Franz Pernkopf
:
Bounds for Bayesian network classifiers with reduced precision parameters. ICASSP 2013: 3357-3361 - [c45]Michael Wohlmayr, Franz Pernkopf
:
Model adaptation of factorial HMMS for multipitch tracking. ICASSP 2013: 6792-6796 - [c44]Christina Leitner, Franz Pernkopf
:
Generalization of pre-image iterations for speech enhancement. ICASSP 2013: 7010-7014 - [c43]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf:
The Most Generative Maximum Margin Bayesian Networks. ICML (3) 2013: 235-243 - [c42]Robert Peharz
, Bernhard C. Geiger
, Franz Pernkopf
:
Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) 2013: 612-627 - 2012
- [j16]Robert Peharz
, Franz Pernkopf
:
Sparse nonnegative matrix factorization with ℓ0-constraints. Neurocomputing 80: 38-46 (2012) - [j15]Franz Pernkopf
, Michael Wohlmayr, Sebastian Tschiatschek:
Maximum Margin Bayesian Network Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 521-532 (2012) - [c41]Christina Leitner, Franz Pernkopf:
Suppression of musical noise in enhanced speech using pre-image iterations. EUSIPCO 2012: 345-349 - [c40]Robert Peharz
, Franz Pernkopf
:
On linear and mixmax interaction models for single channel source separation. ICASSP 2012: 249-252 - [c39]Christina Leitner, Franz Pernkopf
:
Speech enhancement using pre-image iterations. ICASSP 2012: 4665-4668 - [c38]Robert Peharz, Franz Pernkopf:
Exact Maximum Margin Structure Learning of Bayesian Networks. ICML 2012 - [c37]Sebastian Tschiatschek, Franz Pernkopf:
Convex Combinations of Maximum Margin Bayesian Network Classifiers. ICPRAM (1) 2012: 69-77 - [c36]Christina Leitner, Franz Pernkopf:
Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone. IWAENC 2012 - [c35]Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf
:
Handling missing features in maximum margin Bayesian network classifiers. MLSP 2012: 1-6 - [c34]Sebastian Tschiatschek, Peter Reinprecht, Manfred Mücke
, Franz Pernkopf
:
Bayesian Network Classifiers with Reduced Precision Parameters. ECML/PKDD (1) 2012: 74-89 - 2011
- [j14]Stefan Petrik, Christina Drexel, Leo Fessler, Jeremy Jancsary, Alexandra Klein, Gernot Kubin, Johannes Matiasek, Franz Pernkopf
, Harald Trost:
Semantic and phonetic automatic reconstruction of medical dictations. Comput. Speech Lang. 25(2): 363-385 (2011) - [j13]Michael Stark, Michael Wohlmayr, Franz Pernkopf
:
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information. IEEE Trans. Speech Audio Process. 19(2): 242-255 (2011) - [j12]Michael Wohlmayr, Michael Stark, Franz Pernkopf
:
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. IEEE Trans. Speech Audio Process. 19(4): 799-810 (2011) - [c33]Franz Pernkopf, Michael Wohlmayr, Manfred Mücke
:
Maximum margin structure learning of Bayesian network classifiers. ICASSP 2011: 2076-2079 - [c32]Michael Wohlmayr, Robert Peharz
, Franz Pernkopf
:
Efficient implementation of probabilistic multi-pitch tracking. ICASSP 2011: 5412-5415 - [c31]Robert Peharz
, Michael Wohlmayr, Franz Pernkopf
:
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. ICASSP 2011: 5416-5419 - [c30]Christina Leitner, Franz Pernkopf, Gernot Kubin:
Kernel PCA for Speech Enhancement. INTERSPEECH 2011: 1221-1224 - [c29]Gregor Pirker, Michael Wohlmayr, Stefan Petrik, Franz Pernkopf:
A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. INTERSPEECH 2011: 1509-1512 - [c28]Michael Wohlmayr, Franz Pernkopf:
EM-Based Gain Adaptation for Probabilistic Multipitch Tracking. INTERSPEECH 2011: 1969-1972 - [c27]Christina Leitner, Franz Pernkopf
:
The Pre-image Problem and Kernel PCA for Speech Enhancement. NOLISP 2011: 199-206 - 2010
- [j11]Franz Pernkopf, Jeff A. Bilmes:
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. 11: 2323-2360 (2010) - [j10]Charturong Tantibundhit, Franz Pernkopf
, Gernot Kubin:
Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement. IEEE Trans. Speech Audio Process. 18(6): 1417-1428 (2010) - [c26]Michael Stark, Franz Pernkopf
:
On optimizing the computational complexity for VQ-based single channel source separation. ICASSP 2010: 237-240 - [c25]Michael Wohlmayr, Michael Stark, Franz Pernkopf
:
A mixture maximization approach to multipitch tracking with factorial hidden Markov models. ICASSP 2010: 5070-5073 - [c24]Michael Stark, Michael Wohlmayr, Franz Pernkopf
:
Single Channel Speech Separation Using Source-Filter Representation. ICPR 2010: 826-829 - [c23]Robert Peharz, Michael Stark, Franz Pernkopf, Yannis Stylianou:
A factorial sparse coder model for single channel source separation. INTERSPEECH 2010: 386-389 - [c22]Franz Pernkopf
, Michael Wohlmayr:
Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. ECML/PKDD (3) 2010: 50-66
2000 – 2009
- 2009
- [j9]Franz Pernkopf
, Tuan Van Pham, Jeff A. Bilmes:
Broad phonetic classification using discriminative Bayesian networks. Speech Commun. 51(2): 151-166 (2009) - [c21]Michael Stark, Franz Pernkopf
:
Towards source-filter based single sensor speech separation. ICASSP 2009: 97-100 - [c20]Christoph Böhm, Franz Pernkopf
:
Effective metric-based speaker segmentation in the frequency domain. ICASSP 2009: 4081-4084 - [c19]Charturong Tantibundhit, Franz Pernkopf
, Gernot Kubin:
Speech enhancement based on joint time-frequency segmentation. ICASSP 2009: 4673-4676 - [c18]Michael Wiesenegger, Franz Pernkopf:
Wavelet-based speaker change detection in single channel speech data. INTERSPEECH 2009: 836-839 - [c17]Michael Wohlmayr, Franz Pernkopf:
Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model. INTERSPEECH 2009: 1079-1082 - [c16]Franz Pernkopf
, Michael Wohlmayr:
On Discriminative Parameter Learning of Bayesian Network Classifiers. ECML/PKDD (2) 2009: 221-237 - 2008
- [j8]Franz Pernkopf
:
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1465-1475 (2008) - [c15]Stefan Petrik, Franz Pernkopf
:
Automatic phonetics-driven reconstruction of medical dictations on multiple levels of segmentation. ICASSP 2008: 4317-4320 - [c14]Michael Wohlmayr, Franz Pernkopf:
Multipitch tracking using a factorial hidden Markov model. INTERSPEECH 2008: 147-150 - [c13]Tuan Van Pham, Michael Stadtschnitzer, Franz Pernkopf, Gernot Kubin:
Voice activity detection algorithms using subband power distance feature for noisy environments. INTERSPEECH 2008: 2586-2589 - [c12]Franz Pernkopf, Jeff A. Bilmes:
Order-based Discriminative Structure Learning for Bayesian Network Classifiers. ISAIM 2008 - [c11]Franz Pernkopf:
Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation. VISAPP (2) 2008: 463-468 - 2007
- [c10]Franz Pernkopf:
Discriminative learning of bayesian network classifiers. Artificial Intelligence and Applications 2007: 452-457 - [c9]Marián Képesi, Franz Pernkopf
, Michael Wohlmayr:
Joint Position-Pitch Tracking for 2-Channel Audio. CBMI 2007: 303-306 - [c8]Franz Pernkopf
:
Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation. ICIAR 2007: 602-614 - 2006
- [c7]Franz Pernkopf, Tuan Van Pham:
Bayesian networks for phonetic classification using time-scale features. INTERSPEECH 2006 - 2005
- [j7]Franz Pernkopf
:
3D surface acquisition and reconstruction for inspection of raw steel products. Comput. Ind. 56(8-9): 876-885 (2005) - [j6]Franz Pernkopf
:
3D surface analysis using coupled HMMs. Mach. Vis. Appl. 16(5): 298-305 (2005) - [j5]Franz Pernkopf
, Djamel Bouchaffra:
Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1344-1348 (2005) - [j4]Franz Pernkopf
:
Bayesian network classifiers versus selective k-NN classifier. Pattern Recognit. 38(1): 1-10 (2005) - [c6]Franz Pernkopf
:
On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm. ICASSP (1) 2005: 693-696 - [c5]Franz Pernkopf
, Jeff A. Bilmes:
Discriminative versus generative parameter and structure learning of Bayesian network classifiers. ICML 2005: 657-664 - 2004
- [j3]Franz Pernkopf
:
Detection of surface defects on raw steel blocks using Bayesian network classifiers. Pattern Anal. Appl. 7(3): 333-342 (2004) - [c4]Franz Pernkopf:
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection. AAAI 2004: 360-365 - [c3]Vedran Dizdarevic, Martin Hagmüller
, Gernot Kubin, Franz Pernkopf, Micha Baum:
Prosody-based recognition of spoken German varieties. ICASSP (1) 2004: 929-932 - [c2]Franz Pernkopf
:
3D Surface Inspection using Coupled HMMs. ICPR (3) 2004: 223-226 - 2003
- [j2]Franz Pernkopf
, Paul O'Leary:
Floating search algorithm for structure learning of Bayesian network classifiers. Pattern Recognit. Lett. 24(15): 2839-2848 (2003) - 2002
- [j1]Franz Pernkopf
, Paul O'Leary:
Visual Inspection of Machined Metallic High-Precision Surfaces. EURASIP J. Adv. Signal Process. 2002(7): 667-678 (2002) - 2001
- [c1]Franz Pernkopf
, Paul O'Leary:
Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding. CAIP 2001: 161-168
Coauthor Index
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