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Franz Pernkopf
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- affiliation: Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria
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2020 – today
- 2025
- [j39]Michael Reiter, Franz Pernkopf
:
Acoustic COVID-19 Detection Using Multiple Instance Learning. IEEE J. Biomed. Health Informatics 29(1): 620-630 (2025) - 2024
- [j38]Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. J. Mach. Learn. Res. 25: 50:1-50:51 (2024) - [c115]Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf:
Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. ICASSP 2024: 6695-6699 - [i38]Christian Oswald, Máté Tóth, Paul Meissner, Franz Pernkopf:
Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar. CoRR abs/2401.05385 (2024) - [i37]Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz:
Rao-Blackwellising Bayesian Causal Inference. CoRR abs/2402.14781 (2024) - [i36]Harald Leisenberger, Christian Knoll, Franz Pernkopf:
On the Convexity and Reliability of the Bethe Free Energy Approximation. CoRR abs/2405.15514 (2024) - [i35]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) - [i34]Sophie Steger, Christian Knoll, Bernhard Klein, Holger Fröning, Franz Pernkopf:
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles. CoRR abs/2412.15758 (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 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 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 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 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]