Franz Pernkopf

215 papers A* 5A 35B 7C 8Misc 30Journal 86Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GaPaTTA: Gaussian Entropy-Guided Prompt Placement for Test-Time Adaptation in Semantic Segmentation. Mach. Learn. Jixiang Lei, Franz Pernkopf
2026	J	`jnl`	Lightweight and perceptually-guided voice conversion for electro-laryngeal speech. CoRR Benedikt Mayrhofer, Franz Pernkopf, Philipp Aichinger, Martin Hagmüller
2026	J	`jnl`	Lung-Sound Respiratory Disease Classification via Multiple-Instance Learning. IEEE Access Truc Thi Kim Nguyen, Minh Dang Nhat Nguyen, Si van Nguyen, Thao Thi Nguyen Tran, Nghia Thanh Huu Ma, Hung Thanh Quach, An Le Pham, Franz Pernkopf
2026	J	`jnl`	Variational Inference of Structured Line Spectra Exploiting Group-Sparsity. IEEE Trans. Signal Process. Jakob Möderl, Erik Leitinger, Franz Pernkopf, Klaus Witrisal
2025	J	`jnl`	Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation. CoRR Bernhard Klein, Falk Selker, Hendrik Borras, Sophie Steger, Franz Pernkopf, Holger Fröning
2025	J	`jnl`	Acoustic COVID-19 Detection Using Multiple Instance Learning. IEEE J. Biomed. Health Informatics Michael Reiter, Franz Pernkopf
2025	J	`jnl`	Adaptive Variational Inference in Probabilistic Graphical Models: Beyond Bethe, Tree-Reweighted, and Convex Free Energies. CoRR Harald Leisenberger, Franz Pernkopf
2025	Misc	`conf`	Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions. ICASSP Nina Lampl, João Machado de Freitas, Alexander Fuchs, Benedikt Brezina, Michael Klitzsch, Franz Pernkopf
2025	A	`conf`	Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders. AISTATS Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz
2025	J	`jnl`	Fast Variational Block-Sparse Bayesian Learning. IEEE Trans. Signal Process. Jakob Möderl, Erik Leitinger, Bernard H. Fleury, Franz Pernkopf, Klaus Witrisal
2025	B	`conf`	HR-OTTA: Robust Online Test-Time Adaptation with Hybrid Fine-Tuning. IJCNN Jixiang Lei, Franz Pernkopf
2025	Misc	`conf`	Input Uncertainty Attribution by Uncertainty Propagation. ICASSP Benedikt Kantz, Sophie Steger, Clemens Staudinger, Christoph Feilmayr, Johannes Wachlmayr, Alexander Haberl, Stefan Schuster, Franz Pernkopf
2025	—	`conf`	Model-Agnostic Uncertainty Calibration for Noisy Constraint Modeling in Bainitic Steel Optimization. MLSP Sophie Steger, Bernd Schuscha, Franz Pernkopf
2025	J	`jnl`	Multiantenna Radar Signal Interference Mitigation Using Complex-Valued Convolutional Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf
2025	B	`conf`	PromptCAL: Entropy-Calibrated and Prompt-Tuned Test-Time Adaptation for Semantic Segmentation. SMC Jixiang Lei, Franz Pernkopf
2025	B	`conf`	Two-Level Test-Time Adaptation in Multimodal Learning. IJCNN Jixiang Lei, Franz Pernkopf
2025	Misc	`conf`	Uncertainty prediction for prominence classification with chroma features. ICASSP Julian Linke, Sophie Steger, Philipp Steinwender, Gernot Kubin, Franz Pernkopf, Barbara Schuppler
2024	J	`jnl`	Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar. CoRR Christian Oswald, Máté Tóth, Paul Meissner, Franz Pernkopf
2024	Misc	`conf`	Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. ICASSP Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf
2024	J	`jnl`	Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles. CoRR Sophie Steger, Christian Knoll, Bernhard Klein, Holger Fröning, Franz Pernkopf
2024	J	`jnl`	On Loopy Belief Propagation for SASCAs: An Analysis and Empirical Study of the Inference Problem. IACR Commun. Cryptol. Rishub Nagpal, Gaëtan Cassiers, Robert Primas, Christian Knoll, Franz Pernkopf, Stefan Mangard
2024	J	`jnl`	On the Convexity and Reliability of the Bethe Free Energy Approximation. CoRR Harald Leisenberger, Christian Knoll, Franz Pernkopf
2024	J	`jnl`	Rao-Blackwellising Bayesian Causal Inference. CoRR Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz
2024	J	`jnl`	Resource-Efficient Neural Networks for Embedded Systems. J. Mach. Learn. Res. Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani
2024	J	`jnl`	Robustness of Explainable Artificial Intelligence in Industrial Process Modelling. CoRR Benedikt Kantz, Clemens Staudinger, Christoph Feilmayr, Johannes Wachlmayr, Alexander Haberl, Stefan Schuster, Franz Pernkopf
2023	J	`jnl`	End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation. CoRR Christian Oswald, Máté Tóth, Paul Meissner, Franz Pernkopf
2023	—	`ed.`	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 PKDD/ECML Workshops (1) 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
2023	—	`ed.`	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 PKDD/ECML Workshops (2) 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
2023	—	`conf`	Reliable Belief Propagation: Recent Theoretical and Practical Advances. MLSP Christian Knoll, Franz Pernkopf
2023	Misc	`conf`	Self-Attention for Enhanced OAMP Detection in MIMO Systems. ICASSP Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf
2023	J	`jnl`	Self-Guided Belief Propagation - A Homotopy Continuation Method. IEEE Trans. Pattern Anal. Mach. Intell. Christian Knoll, Adrian Weller, Franz Pernkopf
2023	J	`jnl`	Self-attention for Enhanced OAMP Detection in MIMO Systems. CoRR Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf
2023	Misc	`conf`	Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals. ICASSP Jakob Möderl, Erik Leitinger, Franz Pernkopf, Klaus Witrisal
2022	A*	`conf`	Active Bayesian Causal Inference. NeurIPS Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
2022	J	`jnl`	Active Bayesian Causal Inference. CoRR Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
2022	J	`jnl`	Blind Speech Separation and Dereverberation using neural beamforming. Speech Commun. Lukas Pfeifenberger, Franz Pernkopf
2022	Misc	`conf`	End-to-End Keyword Spotting Using Neural Architecture Search and Quantization. ICASSP David Peter, Wolfgang Roth, Franz Pernkopf
2022	C	`conf`	Example or Prototype? Learning Concept-Based Explanations in Time-Series. ACML Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann
2022	J	`jnl`	Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities. CoRR 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
2022	A	`conf`	Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation. UAI Harald Leisenberger, Franz Pernkopf, Christian Knoll
2022	A	`conf`	Homophone Disambiguation Profits from Durational Information. INTERSPEECH Barbara Schuppler, Emil Berger, Xenia Kogler, Franz Pernkopf
2022	J	`jnl`	Lung Sound Classification Using Co-Tuning and Stochastic Normalization. IEEE Trans. Biomed. Eng. Truc Nguyen, Franz Pernkopf
2022	J	`jnl`	Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation. CoRR Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf
2021	A	`conf`	Acoustic Echo Cancellation with Cross-Domain Learning. Interspeech Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
2021	A	`conf`	Autonomous Robot for Measuring Room Impulse Responses. Interspeech Stefan Fragner, Tobias Topar, Maximilian Giller, Lukas Pfeifenberger, Franz Pernkopf
2021	J	`jnl`	Blind Speech Separation and Dereverberation using Neural Beamforming. CoRR Lukas Pfeifenberger, Franz Pernkopf
2021	J	`jnl`	Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation. CoRR Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf
2021	A	`conf`	Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions. UAI Harald Leisenberger, Christian Knoll, Richard Seeber, Franz Pernkopf
2021	J	`jnl`	Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks. CoRR Truc Nguyen, Franz Pernkopf
2021	—	`conf`	Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks. EMBC Truc Nguyen, Franz Pernkopf
2021	J	`jnl`	Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. CoRR Alexander Fuchs, Christian Knoll, Franz Pernkopf
2021	J	`jnl`	End-to-end Keyword Spotting using Neural Architecture Search and Quantization. CoRR David Peter, Wolfgang Roth, Franz Pernkopf
2021	J	`jnl`	Lung Sound Classification Using Co-tuning and Stochastic Normalization. CoRR Truc Nguyen, Franz Pernkopf
2021	—	`ed.`	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 PKDD/ECML Workshops (1) 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
2021	—	`ed.`	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 PKDD/ECML Workshops (2) 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
2021	J	`jnl`	Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation. IEEE J. Sel. Top. Signal Process. Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf
2021	J	`jnl`	Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms. IEEE ACM Trans. Audio Speech Lang. Process. Philipp Aichinger, Franz Pernkopf
2020	Misc	`conf`	Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. ICASSP Truc Nguyen, Franz Pernkopf, Michal Kosmider
2020	J	`jnl`	Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. Wolfgang Roth, Franz Pernkopf
2020	J	`jnl`	Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals. CoRR Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf
2020	A	`conf`	Deep Structured Mixtures of Gaussian Processes. AISTATS Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen
2020	—	`conf`	Differentiable TAN Structure Learning for Bayesian Network Classifiers. PGM Wolfgang Roth, Franz Pernkopf
2020	J	`jnl`	Differentiable TAN Structure Learning for Bayesian Network Classifiers. CoRR Wolfgang Roth, Franz Pernkopf
2020	—	`ed.`	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 IoT Streams/ITEM@PKDD/ECML João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
2020	—	`conf`	Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks. EMBC Truc Nguyen, Franz Pernkopf
2020	J	`jnl`	Multi-channel lung sound classification with convolutional recurrent neural networks. Comput. Biol. Medicine Elmar Messner, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf
2020	A	`conf`	Nonlinear Residual Echo Suppression Using a Recurrent Neural Network. INTERSPEECH Lukas Pfeifenberger, Franz Pernkopf
2020	B	`conf`	On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. ICPR Wolfgang Roth, Franz Pernkopf, Günther Schindler, Holger Fröning
2020	J	`jnl`	On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. CoRR Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
2020	—	`conf`	Parameterized Structured Pruning for Deep Neural Networks. LOD (2) Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning
2020	J	`jnl`	Quantized Neural Networks for Radar Interference Mitigation. CoRR Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf
2020	B	`conf`	Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. ICPR David Peter, Wolfgang Roth, Franz Pernkopf
2020	J	`jnl`	Resource-Efficient Neural Networks for Embedded Systems. CoRR Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani
2020	J	`jnl`	Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. CoRR Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf
2020	J	`jnl`	Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. CoRR David Peter, Wolfgang Roth, Franz Pernkopf
2020	Misc	`conf`	Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. ICASSP Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf, Holger Fröning
2020	J	`jnl`	Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences. IEEE Trans. Instrum. Meas. Nikolaus Mutsam, Franz Pernkopf
2020	J	`jnl`	Wasserstein Routed Capsule Networks. CoRR Alexander Fuchs, Franz Pernkopf
2019	C	`conf`	Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. ICMLA Truc Nguyen, Alexander Fuchs, Franz Pernkopf
2019	A	`conf`	Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation. INTERSPEECH Truc Nguyen, Franz Pernkopf
2019	A	`conf`	Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer. ICME Truc Nguyen, Franz Pernkopf
2019	A*	`conf`	Bayesian Learning of Sum-Product Networks. NeurIPS Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani
2019	J	`jnl`	Bayesian Learning of Sum-Product Networks. CoRR Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani
2019	A	`conf`	Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? UAI Christian Knoll, Franz Pernkopf
2019	C	`conf`	Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. FUSION Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf
2019	J	`jnl`	Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. CoRR Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf
2019	Misc	`conf`	Deep Complex-valued Neural Beamformers. ICASSP Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
2019	J	`jnl`	Deep Structured Mixtures of Gaussian Processes. CoRR Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen
2019	J	`jnl`	Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices. Biomed. Signal Process. Control. Philipp Aichinger, Franz Pernkopf, Jean Schoentgen
2019	J	`jnl`	Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
2019	J	`jnl`	Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). CoRR Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger
2019	C	`conf`	Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning. ICTSS Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger
2019	J	`jnl`	Optimisation of Overparametrized Sum-Product Networks. CoRR Martin Trapp, Robert Peharz, Franz Pernkopf
2019	J	`jnl`	Parameterized Structured Pruning for Deep Neural Networks. CoRR Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning
2019	—	`conf`	Predicting and Testing Latencies with Deep Learning: An IoT Case Study. TAP@FM Bernhard K. Aichernig, Franz Pernkopf, Richard Schumi, Andreas Wurm
2019	C	`conf`	Recurrent Dilated DenseNets for a Time-Series Segmentation Task. ICMLA Alexander Fuchs, Robin Priewald, Franz Pernkopf
2019	—	`conf`	Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. ECML/PKDD (2) Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
2018	—	`conf`	Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters. DCASE Truc Nguyen, Franz Pernkopf
2018	J	`jnl`	Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. CoRR Tobias Schrank, Franz Pernkopf
2018	—	`conf`	Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks. EMBC Elmar Messner, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf
2018	J	`jnl`	Efficient and Robust Machine Learning for Real-World Systems. CoRR Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani
2018	J	`jnl`	Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. IEEE Trans. Pattern Anal. Mach. Intell. Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf
2018	J	`jnl`	Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks. IEEE Trans. Biomed. Eng. Elmar Messner, Matthias Zöhrer, Franz Pernkopf
2018	J	`jnl`	Hybrid generative-discriminative training of Gaussian mixture models. Pattern Recognit. Lett. Wolfgang Roth, Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
2018	J	`jnl`	Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. CoRR Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf
2018	Misc	`conf`	Resource Efficient Deep Eigenvector Beamforming. ICASSP Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Franz Pernkopf
2018	J	`jnl`	Self-Guided Belief Propagation - A Homotopy Continuation Method. CoRR Christian Knoll, Florian Kulmer, Franz Pernkopf
2018	—	`conf`	Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement. DCASE Robert Harb, Franz Pernkopf
2018	J	`jnl`	Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement. CoRR Robert Harb, Franz Pernkopf
2018	J	`jnl`	Sum-Product Networks for Sequence Labeling. CoRR Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
2018	—	`conf`	Towards Efficient Forward Propagation on Resource-Constrained Systems. ECML/PKDD (1) Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning
2018	J	`jnl`	Tracking of Multiple Fundamental Frequencies in Diplophonic Voices. IEEE ACM Trans. Audio Speech Lang. Process. Philipp Aichinger, Martin Hagmüller, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf
2017	Misc	`conf`	DNN-based speech mask estimation for eigenvector beamforming. ICASSP Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
2017	A	`conf`	Eigenvector-Based Speech Mask Estimation Using Logistic Regression. INTERSPEECH Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf
2017	A	`conf`	Frame and Segment Level Recurrent Neural Networks for Phone Classification. INTERSPEECH Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
2017	J	`jnl`	Fundamental frequency tracking in diplophonic voices. Biomed. Signal Process. Control. Philipp Aichinger, Martin Hagmüller, Imme Roesner, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf
2017	—	`conf`	Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds. BIOSIGNALS Elmar Messner, Martin Hagmüller, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf
2017	A	`conf`	On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields. UAI Christian Knoll, Franz Pernkopf
2017	J	`jnl`	On the Latent Variable Interpretation in Sum-Product Networks. IEEE Trans. Pattern Anal. Mach. Intell. Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos
2017	Misc	`conf`	Respiratory airflow estimation from lung sounds based on regression. ICASSP Elmar Messner, Martin Hagmüller, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf
2017	A	`conf`	Safe Semi-Supervised Learning of Sum-Product Networks. UAI Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
2017	J	`jnl`	Safe Semi-Supervised Learning of Sum-Product Networks. CoRR Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
2017	A	`conf`	Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. INTERSPEECH Matthias Zöhrer, Franz Pernkopf
2016	—	`conf`	A Robust Multichannel Lung Sound Recording Device. BIODEVICES Elmar Messner, Martin Hagmüller, Paul Swatek, Franz Pernkopf
2016	—	`conf`	Gated Recurrent Networks applied to Acoustic Scene Classification. DCASE Matthias Zöhrer, Franz Pernkopf
2016	A	`conf`	Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. INTERSPEECH Florian B. Pokorny, Robert Peharz, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf, Peter B. Marschik, Björn W. Schuller
2016	J	`jnl`	Maximum margin hidden Markov models for sequence classification. Pattern Recognit. Lett. Nikolaus Mutsam, Franz Pernkopf
2016	J	`jnl`	On the Latent Variable Interpretation in Sum-Product Networks. CoRR Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos
2016	A	`conf`	Phase-Aware Signal Processing for Automatic Speech Recognition. INTERSPEECH Johannes Fahringer, Tobias Schrank, Johannes Stahl, Pejman Mowlaee, Franz Pernkopf
2016	A	`conf`	Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification. INTERSPEECH Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
2015	B	`conf`	Detection of negative emotions in speech signals using bags-of-audio-words. ACII Florian B. Pokorny, Franz Graf, Franz Pernkopf, Björn W. Schuller
2015	—	`conf`	Message Scheduling Methods for Belief Propagation. ECML/PKDD (2) Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf
2015	C	`conf`	Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results. ASRU Lukas Pfeifenberger, Tobias Schrank, Matthias Zöhrer, Martin Hagmüller, Franz Pernkopf
2015	A	`conf`	Neural higher-order factors in conditional random fields for phoneme classification. INTERSPEECH Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
2015	J	`jnl`	On Bayesian Network Classifiers with Reduced Precision Parameters. IEEE Trans. Pattern Anal. Mach. Intell. Sebastian Tschiatschek, Franz Pernkopf
2015	A	`conf`	On Theoretical Properties of Sum-Product Networks. AISTATS Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos
2015	A	`conf`	On representation learning for artificial bandwidth extension. INTERSPEECH Matthias Zöhrer, Robert Peharz, Franz Pernkopf
2015	—	`conf`	Parameter Learning of Bayesian Network Classifiers Under Computational Constraints. ECML/PKDD (1) Sebastian Tschiatschek, Franz Pernkopf
2015	J	`jnl`	Representation Learning for Single-Channel Source Separation and Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. Matthias Zöhrer, Robert Peharz, Franz Pernkopf
2015	Misc	`conf`	Representation models in single channel source separation. ICASSP Matthias Zöhrer, Franz Pernkopf
2015	—	`conf`	Structured Regularizer for Neural Higher-Order Sequence Models. ECML/PKDD (1) Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
2014	—	`conf`	A multi-channel postfilter based on the diffuse noise sound field. EUSIPCO Lukas Pfeifenberger, Franz Pernkopf
2014	A	`conf`	Blind source extraction based on a direction-dependent a-priori SNR. INTERSPEECH Lukas Pfeifenberger, Franz Pernkopf
2014	—	`conf`	Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition. EUSIPCO Christina Leitner, Juan Andres Morales-Cordovilla, Franz Pernkopf
2014	—	`conf`	General Stochastic Networks for Classification. NIPS Matthias Zöhrer, Franz Pernkopf
2014	—	`conf`	Integer Bayesian Network Classifiers. ECML/PKDD (3) Sebastian Tschiatschek, Karin Paul, Franz Pernkopf
2014	Misc	`conf`	Modeling speech with sum-product networks: Application to bandwidth extension. ICASSP Robert Peharz, Georg Kapeller, Pejman Mowlaee, Franz Pernkopf
2014	A	`conf`	Self-adaption in single-channel source separation. INTERSPEECH Michael Wohlmayr, Ludwig Mohr, Franz Pernkopf
2014	A	`conf`	Single channel source separation with general stochastic networks. INTERSPEECH Matthias Zöhrer, Franz Pernkopf
2014	—	`conf`	Wake-up-word spotting for mobile systems. EUSIPCO A. Zehetner, Martin Hagmüller, Franz Pernkopf
2013	Misc	`conf`	Bounds for Bayesian network classifiers with reduced precision parameters. ICASSP Sebastian Tschiatschek, Carlos Eduardo Cancino-Chacón, Franz Pernkopf
2013	Misc	`conf`	Generalization of pre-image iterations for speech enhancement. ICASSP Christina Leitner, Franz Pernkopf
2013	—	`conf`	Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) Robert Peharz, Bernhard C. Geiger, Franz Pernkopf
2013	Misc	`conf`	Model adaptation of factorial HMMS for multipitch tracking. ICASSP Michael Wohlmayr, Franz Pernkopf
2013	J	`jnl`	Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. IEEE Trans. Speech Audio Process. Michael Wohlmayr, Franz Pernkopf
2013	A	`conf`	On the Asymptotic Optimality of Maximum Margin Bayesian Networks. AISTATS Sebastian Tschiatschek, Franz Pernkopf
2013	J	`jnl`	Stochastic margin-based structure learning of Bayesian network classifiers. Pattern Recognit. Franz Pernkopf, Michael Wohlmayr
2013	—	`conf`	The Most Generative Maximum Margin Bayesian Networks. ICML (3) Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
2012	—	`conf`	Bayesian Network Classifiers with Reduced Precision Parameters. ECML/PKDD (1) Sebastian Tschiatschek, Peter Reinprecht, Manfred Mücke, Franz Pernkopf
2012	—	`conf`	Convex Combinations of Maximum Margin Bayesian Network Classifiers. ICPRAM (1) Sebastian Tschiatschek, Franz Pernkopf
2012	A*	`conf`	Exact Maximum Margin Structure Learning of Bayesian Networks. ICML Robert Peharz, Franz Pernkopf
2012	—	`conf`	Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone. IWAENC Christina Leitner, Franz Pernkopf
2012	—	`conf`	Handling missing features in maximum margin Bayesian network classifiers. MLSP Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf
2012	J	`jnl`	Maximum Margin Bayesian Network Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. Franz Pernkopf, Michael Wohlmayr, Sebastian Tschiatschek
2012	Misc	`conf`	On linear and mixmax interaction models for single channel source separation. ICASSP Robert Peharz, Franz Pernkopf
2012	J	`jnl`	Sparse nonnegative matrix factorization with ℓ Neurocomputing Robert Peharz, Franz Pernkopf
2012	Misc	`conf`	Speech enhancement using pre-image iterations. ICASSP Christina Leitner, Franz Pernkopf
2012	—	`conf`	Suppression of musical noise in enhanced speech using pre-image iterations. EUSIPCO Christina Leitner, Franz Pernkopf
2011	A	`conf`	A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. INTERSPEECH Gregor Pirker, Michael Wohlmayr, Stefan Petrik, Franz Pernkopf
2011	J	`jnl`	A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. IEEE Trans. Speech Audio Process. Michael Wohlmayr, Michael Stark, Franz Pernkopf
2011	A	`conf`	EM-Based Gain Adaptation for Probabilistic Multipitch Tracking. INTERSPEECH Michael Wohlmayr, Franz Pernkopf
2011	Misc	`conf`	Efficient implementation of probabilistic multi-pitch tracking. ICASSP Michael Wohlmayr, Robert Peharz, Franz Pernkopf
2011	Misc	`conf`	Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. ICASSP Robert Peharz, Michael Wohlmayr, Franz Pernkopf
2011	A	`conf`	Kernel PCA for Speech Enhancement. INTERSPEECH Christina Leitner, Franz Pernkopf, Gernot Kubin
2011	Misc	`conf`	Maximum margin structure learning of Bayesian network classifiers. ICASSP Franz Pernkopf, Michael Wohlmayr, Manfred Mücke
2011	J	`jnl`	Semantic and phonetic automatic reconstruction of medical dictations. Comput. Speech Lang. Stefan Petrik, Christina Drexel, Leo Fessler, Jeremy Jancsary, Alexandra Klein, Gernot Kubin, Johannes Matiasek, Franz Pernkopf, Harald Trost
2011	J	`jnl`	Source-Filter-Based Single-Channel Speech Separation Using Pitch Information. IEEE Trans. Speech Audio Process. Michael Stark, Michael Wohlmayr, Franz Pernkopf
2011	—	`conf`	The Pre-image Problem and Kernel PCA for Speech Enhancement. NOLISP Christina Leitner, Franz Pernkopf
2010	A	`conf`	A factorial sparse coder model for single channel source separation. INTERSPEECH Robert Peharz, Michael Stark, Franz Pernkopf, Yannis Stylianou
2010	Misc	`conf`	A mixture maximization approach to multipitch tracking with factorial hidden Markov models. ICASSP Michael Wohlmayr, Michael Stark, Franz Pernkopf
2010	J	`jnl`	Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. Franz Pernkopf, Jeff A. Bilmes
2010	J	`jnl`	Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement. IEEE Trans. Speech Audio Process. Charturong Tantibundhit, Franz Pernkopf, Gernot Kubin
2010	—	`conf`	Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. ECML/PKDD (3) Franz Pernkopf, Michael Wohlmayr
2010	Misc	`conf`	On optimizing the computational complexity for VQ-based single channel source separation. ICASSP Michael Stark, Franz Pernkopf
2010	B	`conf`	Single Channel Speech Separation Using Source-Filter Representation. ICPR Michael Stark, Michael Wohlmayr, Franz Pernkopf
2009	J	`jnl`	Broad phonetic classification using discriminative Bayesian networks. Speech Commun. Franz Pernkopf, Tuan Van Pham, Jeff A. Bilmes
2009	Misc	`conf`	Effective metric-based speaker segmentation in the frequency domain. ICASSP Christoph Böhm, Franz Pernkopf
2009	A	`conf`	Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model. INTERSPEECH Michael Wohlmayr, Franz Pernkopf
2009	—	`conf`	On Discriminative Parameter Learning of Bayesian Network Classifiers. ECML/PKDD (2) Franz Pernkopf, Michael Wohlmayr
2009	Misc	`conf`	Speech enhancement based on joint time-frequency segmentation. ICASSP Charturong Tantibundhit, Franz Pernkopf, Gernot Kubin
2009	Misc	`conf`	Towards source-filter based single sensor speech separation. ICASSP Michael Stark, Franz Pernkopf
2009	A	`conf`	Wavelet-based speaker change detection in single channel speech data. INTERSPEECH Michael Wiesenegger, Franz Pernkopf
2008	Misc	`conf`	Automatic phonetics-driven reconstruction of medical dictations on multiple levels of segmentation. ICASSP Stefan Petrik, Franz Pernkopf
2008	A	`conf`	Multipitch tracking using a factorial hidden Markov model. INTERSPEECH Michael Wohlmayr, Franz Pernkopf
2008	—	`conf`	Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation. VISAPP (2) Franz Pernkopf
2008	Misc	`conf`	Order-based Discriminative Structure Learning for Bayesian Network Classifiers. ISAIM Franz Pernkopf, Jeff A. Bilmes
2008	J	`jnl`	Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation. IEEE Trans. Syst. Man Cybern. Part B Franz Pernkopf
2008	A	`conf`	Voice activity detection algorithms using subband power distance feature for noisy environments. INTERSPEECH Tuan Van Pham, Michael Stadtschnitzer, Franz Pernkopf, Gernot Kubin
2007	—	`conf`	Discriminative learning of bayesian network classifiers. Artificial Intelligence and Applications Franz Pernkopf
2007	C	`conf`	Joint Position-Pitch Tracking for 2-Channel Audio. CBMI Marián Képesi, Franz Pernkopf, Michael Wohlmayr
2007	—	`conf`	Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation. ICIAR Franz Pernkopf
2006	A	`conf`	Bayesian networks for phonetic classification using time-scale features. INTERSPEECH Franz Pernkopf, Tuan Van Pham
2005	J	`jnl`	3D surface acquisition and reconstruction for inspection of raw steel products. Comput. Ind. Franz Pernkopf
2005	J	`jnl`	3D surface analysis using coupled HMMs. Mach. Vis. Appl. Franz Pernkopf
2005	J	`jnl`	Bayesian network classifiers versus selective k-NN classifier. Pattern Recognit. Franz Pernkopf
2005	A*	`conf`	Discriminative versus generative parameter and structure learning of Bayesian network classifiers. ICML Franz Pernkopf, Jeff A. Bilmes
2005	J	`jnl`	Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Franz Pernkopf, Djamel Bouchaffra
2005	—	`conf`	On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm. ICASSP (1) Franz Pernkopf
2004	—	`conf`	3D Surface Inspection using Coupled HMMs. ICPR (3) Franz Pernkopf
2004	A*	`conf`	Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection. AAAI Franz Pernkopf
2004	J	`jnl`	Detection of surface defects on raw steel blocks using Bayesian network classifiers. Pattern Anal. Appl. Franz Pernkopf
2004	—	`conf`	Prosody-based recognition of spoken German varieties. ICASSP (1) Vedran Dizdarevic, Martin Hagmüller, Gernot Kubin, Franz Pernkopf, Micha Baum
2003	J	`jnl`	Floating search algorithm for structure learning of Bayesian network classifiers. Pattern Recognit. Lett. Franz Pernkopf, Paul O'Leary
2002	J	`jnl`	Visual Inspection of Machined Metallic High-Precision Surfaces. EURASIP J. Adv. Signal Process. Franz Pernkopf, Paul O'Leary
2001	C	`conf`	Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding. CAIP Franz Pernkopf, Paul O'Leary