Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding. - Franz Pernkopf; Paul O'Leary (CAIP, 2001)

Visual Inspection of Machined Metallic High-Precision Surfaces. - Franz Pernkopf; Paul O'Leary (EURASIP J. Adv. Signal Process., 2002)

Floating search algorithm for structure learning of Bayesian network classifiers. - Franz Pernkopf; Paul O'Leary (Pattern Recognit. Lett., 2003)

Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection. - Franz Pernkopf (AAAI, 2004)

Prosody-based recognition of spoken German varieties. - Vedran Dizdarevic; Martin Hagmüller; Gernot Kubin; Franz Pernkopf; Micha Baum (ICASSP (1), 2004)

3D Surface Inspection using Coupled HMMs. - Franz Pernkopf (ICPR (3), 2004)

Detection of surface defects on raw steel blocks using Bayesian network classifiers. - Franz Pernkopf (Pattern Anal. Appl., 2004)

On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm. - Franz Pernkopf (ICASSP (1), 2005)

Discriminative versus generative parameter and structure learning of Bayesian network classifiers. - Franz Pernkopf; Jeff A. Bilmes (ICML, 2005)

3D surface acquisition and reconstruction for inspection of raw steel products. - Franz Pernkopf (Comput. Ind., 2005)

3D surface analysis using coupled HMMs. - Franz Pernkopf (Mach. Vis. Appl., 2005)

Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. - Franz Pernkopf; Djamel Bouchaffra (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Bayesian network classifiers versus selective k-NN classifier. - Franz Pernkopf (Pattern Recognit., 2005)

Bayesian networks for phonetic classification using time-scale features. - Franz Pernkopf; Tuan Van Pham (INTERSPEECH, 2006)

Discriminative learning of bayesian network classifiers. - Franz Pernkopf (Artificial Intelligence and Applications, 2007)

Joint Position-Pitch Tracking for 2-Channel Audio. - Marián Képesi; Franz Pernkopf; Michael Wohlmayr (CBMI, 2007)

Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation. - Franz Pernkopf (ICIAR, 2007)

Automatic phonetics-driven reconstruction of medical dictations on multiple levels of segmentation. - Stefan Petrik; Franz Pernkopf (ICASSP, 2008)

Voice activity detection algorithms using subband power distance feature for noisy environments. - Tuan Van Pham; Michael Stadtschnitzer; Franz Pernkopf; Gernot Kubin (INTERSPEECH, 2008)

Multipitch tracking using a factorial hidden Markov model. - Michael Wohlmayr; Franz Pernkopf (INTERSPEECH, 2008)

Order-based Discriminative Structure Learning for Bayesian Network Classifiers. - Franz Pernkopf; Jeff A. Bilmes (ISAIM, 2008)

Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation. - Franz Pernkopf (VISAPP (2), 2008)

Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation. - Franz Pernkopf (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Effective metric-based speaker segmentation in the frequency domain. - Christoph Böhm 003; Franz Pernkopf (ICASSP, 2009)

Towards source-filter based single sensor speech separation. - Michael Stark 004; Franz Pernkopf (ICASSP, 2009)

Speech enhancement based on joint time-frequency segmentation. - Charturong Tantibundhit; Franz Pernkopf; Gernot Kubin (ICASSP, 2009)

Wavelet-based speaker change detection in single channel speech data. - Michael Wiesenegger; Franz Pernkopf (INTERSPEECH, 2009)

Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model. - Michael Wohlmayr; Franz Pernkopf (INTERSPEECH, 2009)

On Discriminative Parameter Learning of Bayesian Network Classifiers. - Franz Pernkopf; Michael Wohlmayr (ECML/PKDD (2), 2009)

Broad phonetic classification using discriminative Bayesian networks. - Franz Pernkopf; Tuan Van Pham; Jeff A. Bilmes (Speech Commun., 2009)

On optimizing the computational complexity for VQ-based single channel source separation. - Michael Stark 004; Franz Pernkopf (ICASSP, 2010)

A mixture maximization approach to multipitch tracking with factorial hidden Markov models. - Michael Wohlmayr; Michael Stark 004; Franz Pernkopf (ICASSP, 2010)

Single Channel Speech Separation Using Source-Filter Representation. - Michael Stark 004; Michael Wohlmayr; Franz Pernkopf (ICPR, 2010)

A factorial sparse coder model for single channel source separation. - Robert Peharz; Michael Stark 004; Franz Pernkopf; Yannis Stylianou (INTERSPEECH, 2010)

Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. - Franz Pernkopf; Michael Wohlmayr (ECML/PKDD (3), 2010)

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. - Franz Pernkopf; Jeff A. Bilmes (J. Mach. Learn. Res., 2010)

Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement. - Charturong Tantibundhit; Franz Pernkopf; Gernot Kubin (IEEE Trans. Speech Audio Process., 2010)

Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. - Robert Peharz; Michael Wohlmayr; Franz Pernkopf (ICASSP, 2011)

Maximum margin structure learning of Bayesian network classifiers. - Franz Pernkopf; Michael Wohlmayr; Manfred Mücke (ICASSP, 2011)

Efficient implementation of probabilistic multi-pitch tracking. - Michael Wohlmayr; Robert Peharz; Franz Pernkopf (ICASSP, 2011)

Kernel PCA for Speech Enhancement. - Christina Leitner; Franz Pernkopf; Gernot Kubin (INTERSPEECH, 2011)

A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. - Gregor Pirker; Michael Wohlmayr; Stefan Petrik; Franz Pernkopf (INTERSPEECH, 2011)

EM-Based Gain Adaptation for Probabilistic Multipitch Tracking. - Michael Wohlmayr; Franz Pernkopf (INTERSPEECH, 2011)

The Pre-image Problem and Kernel PCA for Speech Enhancement. - Christina Leitner; Franz Pernkopf (NOLISP, 2011)

Semantic and phonetic automatic reconstruction of medical dictations. - Stefan Petrik; Christina Drexel; Leo Fessler; Jeremy Jancsary; Alexandra Klein; Gernot Kubin; Johannes Matiasek; Franz Pernkopf; Harald Trost (Comput. Speech Lang., 2011)

Source-Filter-Based Single-Channel Speech Separation Using Pitch Information. - Michael Stark 004; Michael Wohlmayr; Franz Pernkopf (IEEE Trans. Speech Audio Process., 2011)

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. - Michael Wohlmayr; Michael Stark 004; Franz Pernkopf (IEEE Trans. Speech Audio Process., 2011)

Suppression of musical noise in enhanced speech using pre-image iterations. - Christina Leitner; Franz Pernkopf (EUSIPCO, 2012)

Speech enhancement using pre-image iterations. - Christina Leitner; Franz Pernkopf (ICASSP, 2012)

On linear and mixmax interaction models for single channel source separation. - Robert Peharz; Franz Pernkopf (ICASSP, 2012)

Exact Maximum Margin Structure Learning of Bayesian Networks. - Robert Peharz; Franz Pernkopf (ICML, 2012)

Convex Combinations of Maximum Margin Bayesian Network Classifiers. - Sebastian Tschiatschek; Franz Pernkopf (ICPRAM (1), 2012)

Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone. - Christina Leitner; Franz Pernkopf (IWAENC, 2012)

Handling missing features in maximum margin Bayesian network classifiers. - Sebastian Tschiatschek; Nikolaus Mutsam; Franz Pernkopf (MLSP, 2012)

Bayesian Network Classifiers with Reduced Precision Parameters. - Sebastian Tschiatschek; Peter Reinprecht; Manfred Mücke; Franz Pernkopf (ECML/PKDD (1), 2012)

Sparse nonnegative matrix factorization with ℓ0-constraints. - Robert Peharz; Franz Pernkopf (Neurocomputing, 2012)

Maximum Margin Bayesian Network Classifiers. - Franz Pernkopf; Michael Wohlmayr; Sebastian Tschiatschek (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

On the Asymptotic Optimality of Maximum Margin Bayesian Networks. - Sebastian Tschiatschek; Franz Pernkopf (AISTATS, 2013)

Generalization of pre-image iterations for speech enhancement. - Christina Leitner; Franz Pernkopf (ICASSP, 2013)

Bounds for Bayesian network classifiers with reduced precision parameters. - Sebastian Tschiatschek; Carlos Eduardo Cancino Chacón; Franz Pernkopf (ICASSP, 2013)

Model adaptation of factorial HMMS for multipitch tracking. - Michael Wohlmayr; Franz Pernkopf (ICASSP, 2013)

The Most Generative Maximum Margin Bayesian Networks. - Robert Peharz; Sebastian Tschiatschek; Franz Pernkopf (ICML (3), 2013)

Greedy Part-Wise Learning of Sum-Product Networks. - Robert Peharz; Bernhard C. Geiger; Franz Pernkopf (ECML/PKDD (2), 2013)

Stochastic margin-based structure learning of Bayesian network classifiers. - Franz Pernkopf; Michael Wohlmayr (Pattern Recognit., 2013)

Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. - Michael Wohlmayr; Franz Pernkopf (IEEE Trans. Speech Audio Process., 2013)

Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition. - Christina Leitner; Juan Andres Morales-Cordovilla; Franz Pernkopf (EUSIPCO, 2014)

A multi-channel postfilter based on the diffuse noise sound field. - Lukas Pfeifenberger; Franz Pernkopf (EUSIPCO, 2014)

Wake-up-word spotting for mobile systems. - A. Zehetner; Martin Hagmüller; Franz Pernkopf (EUSIPCO, 2014)

Modeling speech with sum-product networks: Application to bandwidth extension. - Robert Peharz; Georg Kapeller; Pejman Mowlaee; Franz Pernkopf (ICASSP, 2014)

Blind source extraction based on a direction-dependent a-priori SNR. - Lukas Pfeifenberger; Franz Pernkopf (INTERSPEECH, 2014)

Self-adaption in single-channel source separation. - Michael Wohlmayr; Ludwig Mohr; Franz Pernkopf (INTERSPEECH, 2014)

Single channel source separation with general stochastic networks. - Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2014)

General Stochastic Networks for Classification. - Matthias Zöhrer; Franz Pernkopf (NIPS, 2014)

Integer Bayesian Network Classifiers. - Sebastian Tschiatschek; Karin Paul; Franz Pernkopf (ECML/PKDD (3), 2014)

Detection of negative emotions in speech signals using bags-of-audio-words. - Florian B. Pokorny; Franz Graf 002; Franz Pernkopf; Björn W. Schuller (ACII, 2015)

On Theoretical Properties of Sum-Product Networks. - Robert Peharz; Sebastian Tschiatschek; Franz Pernkopf; Pedro M. Domingos (AISTATS, 2015)

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results. - Lukas Pfeifenberger; Tobias Schrank; Matthias Zöhrer; Martin Hagmüller; Franz Pernkopf (ASRU, 2015)

Representation models in single channel source separation. - Matthias Zöhrer; Franz Pernkopf (ICASSP, 2015)

Neural higher-order factors in conditional random fields for phoneme classification. - Martin Ratajczak; Sebastian Tschiatschek; Franz Pernkopf (INTERSPEECH, 2015)

On representation learning for artificial bandwidth extension. - Matthias Zöhrer; Robert Peharz; Franz Pernkopf (INTERSPEECH, 2015)

Message Scheduling Methods for Belief Propagation. - Christian Knoll 002; Michael Rath 001; Sebastian Tschiatschek; Franz Pernkopf (ECML/PKDD (2), 2015)

Structured Regularizer for Neural Higher-Order Sequence Models. - Martin Ratajczak; Sebastian Tschiatschek; Franz Pernkopf (ECML/PKDD (1), 2015)

Parameter Learning of Bayesian Network Classifiers Under Computational Constraints. - Sebastian Tschiatschek; Franz Pernkopf (ECML/PKDD (1), 2015)

On Bayesian Network Classifiers with Reduced Precision Parameters. - Sebastian Tschiatschek; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Representation Learning for Single-Channel Source Separation and Bandwidth Extension. - Matthias Zöhrer; Robert Peharz; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

A Robust Multichannel Lung Sound Recording Device. - Elmar Messner; Martin Hagmüller; Paul Swatek; Franz Pernkopf (BIODEVICES, 2016)

Gated Recurrent Networks applied to Acoustic Scene Classification. - Matthias Zöhrer; Franz Pernkopf (DCASE, 2016)

Phase-Aware Signal Processing for Automatic Speech Recognition. - Johannes Fahringer; Tobias Schrank; Johannes Stahl 003; Pejman Mowlaee; Franz Pernkopf (INTERSPEECH, 2016)

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. - Florian B. Pokorny; Robert Peharz; Wolfgang Roth; Matthias Zöhrer; Franz Pernkopf; Peter B. Marschik; Björn W. Schuller (INTERSPEECH, 2016)

Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification. - Martin Ratajczak; Sebastian Tschiatschek; Franz Pernkopf (INTERSPEECH, 2016)

Maximum margin hidden Markov models for sequence classification. - Nikolaus Mutsam; Franz Pernkopf (Pattern Recognit. Lett., 2016)

Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds. - Elmar Messner; Martin Hagmüller; Paul Swatek; Freyja-Maria Smolle-Jüttner; Franz Pernkopf (BIOSIGNALS, 2017)

Respiratory airflow estimation from lung sounds based on regression. - Elmar Messner; Martin Hagmüller; Paul Swatek; Freyja-Maria Smolle-Jüttner; Franz Pernkopf (ICASSP, 2017)

DNN-based speech mask estimation for eigenvector beamforming. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (ICASSP, 2017)

Eigenvector-Based Speech Mask Estimation Using Logistic Regression. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2017)

Frame and Segment Level Recurrent Neural Networks for Phone Classification. - Martin Ratajczak; Sebastian Tschiatschek; Franz Pernkopf (INTERSPEECH, 2017)

Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. - Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2017)

On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields. - Christian Knoll 002; Franz Pernkopf (UAI, 2017)

Safe Semi-Supervised Learning of Sum-Product Networks. - Martin Trapp 001; Tamas Madl; Robert Peharz; Franz Pernkopf; Robert Trappl (UAI, 2017)

Fundamental frequency tracking in diplophonic voices. - Philipp Aichinger; Martin Hagmüller; Imme Roesner; Berit Schneider-Stickler; Jean Schoentgen; Franz Pernkopf (Biomed. Signal Process. Control., 2017)

On the Latent Variable Interpretation in Sum-Product Networks. - Robert Peharz; Robert Gens; Franz Pernkopf; Pedro M. Domingos (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement. - Robert Harb; Franz Pernkopf (DCASE, 2018)

Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters. - Truc Nguyen; Franz Pernkopf (DCASE, 2018)

Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks. - Elmar Messner; Melanie Fediuk; Paul Swatek; Stefan Scheidl; Freyja-Maria Smolle-Jüttner; Horst Olschewski; Franz Pernkopf (EMBC, 2018)

Towards Efficient Forward Propagation on Resource-Constrained Systems. - Günther Schindler; Matthias Zöhrer; Franz Pernkopf; Holger Fröning (ECML/PKDD (1), 2018)

Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. - Tobias Schrank; Franz Pernkopf (CoRR, 2018)

Sum-Product Networks for Sequence Labeling. - Martin Ratajczak; Sebastian Tschiatschek; Franz Pernkopf (CoRR, 2018)

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Carl E. Rasmussen; Franz Pernkopf (CoRR, 2018)

Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement. - Robert Harb; Franz Pernkopf (CoRR, 2018)

Self-Guided Belief Propagation - A Homotopy Continuation Method. - Christian Knoll 002; Florian Kulmer; Franz Pernkopf (CoRR, 2018)

Efficient and Robust Machine Learning for Real-World Systems. - Franz Pernkopf; Wolfgang Roth; Matthias Zöhrer; Lukas Pfeifenberger; Günther Schindler; Holger Fröning; Sebastian Tschiatschek; Robert Peharz; Matthew Mattina; Zoubin Ghahramani (CoRR, 2018)

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. - Christian Knoll 002; Dhagash Mehta; Tianran Chen; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Hybrid generative-discriminative training of Gaussian mixture models. - Wolfgang Roth; Robert Peharz; Sebastian Tschiatschek; Franz Pernkopf (Pattern Recognit. Lett., 2018)

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices. - Philipp Aichinger; Martin Hagmüller; Berit Schneider-Stickler; Jean Schoentgen; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks. - Elmar Messner; Matthias Zöhrer; Franz Pernkopf (IEEE Trans. Biomed. Eng., 2018)

Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. - Johanna Rock; Máté Tóth; Elmar Messner; Paul Meissner; Franz Pernkopf (FUSION, 2019)

Deep Complex-valued Neural Beamformers. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (ICASSP, 2019)

Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer. - Truc Nguyen; Franz Pernkopf (ICME, 2019)

Recurrent Dilated DenseNets for a Time-Series Segmentation Task. - Alexander Fuchs 009; Robin Priewald; Franz Pernkopf (ICMLA, 2019)

Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. - Truc Nguyen; Alexander Fuchs 009; Franz Pernkopf (ICMLA, 2019)

Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation. - Truc Nguyen; Franz Pernkopf (INTERSPEECH, 2019)

Bayesian Learning of Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Hong Ge; Franz Pernkopf; Zoubin Ghahramani (NeurIPS, 2019)

Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. - Wolfgang Roth; Günther Schindler; Holger Fröning; Franz Pernkopf (ECML/PKDD (2), 2019)

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning. - Bernhard K. Aichernig; Roderick Bloem; Masoud Ebrahimi 002; Martin Horn; Franz Pernkopf; Wolfgang Roth; Astrid Rupp; Martin Tappler; Markus Tranninger (ICTSS, 2019)

Predicting and Testing Latencies with Deep Learning: An IoT Case Study. - Bernhard K. Aichernig; Franz Pernkopf; Richard Schumi; Andreas Wurm (TAP@FM, 2019)

Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? - Christian Knoll 002; Franz Pernkopf (UAI, 2019)

Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices. - Philipp Aichinger; Franz Pernkopf; Jean Schoentgen (Biomed. Signal Process. Control., 2019)

Optimisation of Overparametrized Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Franz Pernkopf (CoRR, 2019)

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). - Bernhard K. Aichernig; Roderick Bloem; Masoud Ebrahimi 002; Martin Horn; Franz Pernkopf; Wolfgang Roth; Astrid Rupp; Martin Tappler; Markus Tranninger (CoRR, 2019)

Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Deep Structured Mixtures of Gaussian Processes. - Martin Trapp 001; Robert Peharz; Franz Pernkopf; Carl Edward Rasmussen (AISTATS, 2020)

Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks. - Truc Nguyen; Franz Pernkopf (EMBC, 2020)

Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. - Markus Huber; Günther Schindler; Christian Schörkhuber; Wolfgang Roth; Franz Pernkopf; Holger Fröning (ICASSP, 2020)

Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. - Truc Nguyen; Franz Pernkopf; Michal Kosmider (ICASSP, 2020)

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. - David Peter; Wolfgang Roth; Franz Pernkopf (ICPR, 2020)

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. - Wolfgang Roth; Franz Pernkopf; Günther Schindler; Holger Fröning (ICPR, 2020)

Nonlinear Residual Echo Suppression Using a Recurrent Neural Network. - Lukas Pfeifenberger; Franz Pernkopf (INTERSPEECH, 2020)

Parameterized Structured Pruning for Deep Neural Networks. - Günther Schindler; Wolfgang Roth; Franz Pernkopf; Holger Fröning (LOD (2), 2020)

Differentiable TAN Structure Learning for Bayesian Network Classifiers. - Wolfgang Roth; Franz Pernkopf (PGM, 2020)

Multi-channel lung sound classification with convolutional recurrent neural networks. - Elmar Messner; Melanie Fediuk; Paul Swatek; Stefan Scheidl; Freyja-Maria Smolle-Jüttner; Horst Olschewski; Franz Pernkopf (Comput. Biol. Medicine, 2020)

Resource-Efficient Neural Networks for Embedded Systems. - Wolfgang Roth; Günther Schindler; Matthias Zöhrer; Lukas Pfeifenberger; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani (CoRR, 2020)

Wasserstein Routed Capsule Networks. - Alexander Fuchs 009; Franz Pernkopf (CoRR, 2020)

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. - Lukas Pfeifenberger; Matthias Zöhrer; Günther Schindler; Wolfgang Roth; Holger Fröning; Franz Pernkopf (CoRR, 2020)

Quantized Neural Networks for Radar Interference Mitigation. - Johanna Rock; Wolfgang Roth; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2020)

Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals. - Johanna Rock; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2020)

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. - Wolfgang Roth; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences. - Nikolaus Mutsam; Franz Pernkopf (IEEE Trans. Instrum. Meas., 2020)

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks. - Truc Nguyen; Franz Pernkopf (EMBC, 2021)

Autonomous Robot for Measuring Room Impulse Responses. - Stefan Fragner; Tobias Topar; Maximilian Giller; Lukas Pfeifenberger; Franz Pernkopf (Interspeech, 2021)

Acoustic Echo Cancellation with Cross-Domain Learning. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (Interspeech, 2021)

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions. - Harald Leisenberger; Christian Knoll 002; Richard Seeber; Franz Pernkopf (UAI, 2021)

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks. - Truc Nguyen; Franz Pernkopf (CoRR, 2021)

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation. - Alexander Fuchs 009; Johanna Rock; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2021)

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. - Alexander Fuchs 009; Christian Knoll 002; Franz Pernkopf (CoRR, 2021)

Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation. - Johanna Rock; Wolfgang Roth; Máté Tóth; Paul Meissner; Franz Pernkopf (IEEE J. Sel. Top. Signal Process., 2021)

Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms. - Philipp Aichinger; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Example or Prototype? Learning Concept-Based Explanations in Time-Series. - Christoph Obermair; Alexander Fuchs 009; Franz Pernkopf; Lukas Felsberger; Andrea Apollonio; Daniel Wollmann (ACML, 2022)

End-to-End Keyword Spotting Using Neural Architecture Search and Quantization. - David Peter; Wolfgang Roth; Franz Pernkopf (ICASSP, 2022)

Homophone Disambiguation Profits from Durational Information. - Barbara Schuppler; Emil Berger; Xenia Kogler; Franz Pernkopf (INTERSPEECH, 2022)

Active Bayesian Causal Inference. - Christian Toth; Lars Lorch; Christian Knoll 002; Andreas Krause 001; Franz Pernkopf; Robert Peharz; Julius von Kügelgen (NeurIPS, 2022)

Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation. - Harald Leisenberger; Franz Pernkopf; Christian Knoll 002 (UAI, 2022)

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities. - 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; et al. (CoRR, 2022)

Blind Speech Separation and Dereverberation using neural beamforming. - Lukas Pfeifenberger; Franz Pernkopf (Speech Commun., 2022)

Lung Sound Classification Using Co-Tuning and Stochastic Normalization. - Truc Nguyen; Franz Pernkopf (IEEE Trans. Biomed. Eng., 2022)

Self-Attention for Enhanced OAMP Detection in MIMO Systems. - Alexander Fuchs 009; Christian Knoll 002; Nima N. Moghadam; Alexey Pak; Jinliang Huang; Erik Leitinger; Franz Pernkopf (ICASSP, 2023)

Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals. - Jakob Möderl; Erik Leitinger; Franz Pernkopf; Klaus Witrisal (ICASSP, 2023)

Reliable Belief Propagation: Recent Theoretical and Practical Advances. - Christian Knoll 002; Franz Pernkopf (MLSP, 2023)

End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation. - Christian Oswald; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2023)

Self-Guided Belief Propagation - A Homotopy Continuation Method. - Christian Knoll 002; Adrian Weller; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

UWBCarGraz Dataset. - Jakob Möderl; Stefan Posch; Franz Pernkopf; Klaus Witrisal (TU Graz Repo, 2023)

Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. - Nikolaus Mutsam; Alexander Fuchs 009; Fabio Ziegler; Franz Pernkopf (ICASSP, 2024)

On Loopy Belief Propagation for SASCAs: An Analysis and Empirical Study of the Inference Problem. - Rishub Nagpal; Gaëtan Cassiers; Robert Primas; Christian Knoll 002; Franz Pernkopf; Stefan Mangard (IACR Commun. Cryptol., 2024)

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar. - Christian Oswald; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2024)

Rao-Blackwellising Bayesian Causal Inference. - Christian Toth; Christian Knoll 002; Franz Pernkopf; Robert Peharz (CoRR, 2024)

On the Convexity and Reliability of the Bethe Free Energy Approximation. - Harald Leisenberger; Christian Knoll 002; Franz Pernkopf (CoRR, 2024)

Robustness of Explainable Artificial Intelligence in Industrial Process Modelling. - Benedikt Kantz; Clemens Staudinger; Christoph Feilmayr; Johannes Wachlmayr; Alexander Haberl; Stefan Schuster; Franz Pernkopf (CoRR, 2024)

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles. - Sophie Steger; Christian Knoll 002; Bernhard Klein; Holger Fröning; Franz Pernkopf (CoRR, 2024)

Resource-Efficient Neural Networks for Embedded Systems. - Wolfgang Roth; Günther Schindler; Bernhard Klein; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani (J. Mach. Learn. Res., 2024)

Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders. - Christian Toth; Christian Knoll 002; Franz Pernkopf; Robert Peharz (AISTATS, 2025)

Input Uncertainty Attribution by Uncertainty Propagation. - Benedikt Kantz; Sophie Steger; Clemens Staudinger; Christoph Feilmayr; Johannes Wachlmayr; Alexander Haberl; Stefan Schuster; Franz Pernkopf (ICASSP, 2025)

Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions. - Nina Lampl; João Machado de Freitas; Alexander Fuchs 009; Benedikt Brezina; Michael Klitzsch; Franz Pernkopf (ICASSP, 2025)

Uncertainty prediction for prominence classification with chroma features. - Julian Linke; Sophie Steger; Philipp Steinwender; Gernot Kubin; Franz Pernkopf; Barbara Schuppler (ICASSP, 2025)

Acoustic COVID-19 Detection Using Multiple Instance Learning. - Michael Reiter; Franz Pernkopf (IEEE J. Biomed. Health Informatics, 2025)

Adaptive Variational Inference in Probabilistic Graphical Models: Beyond Bethe, Tree-Reweighted, and Convex Free Energies. - Harald Leisenberger; Franz Pernkopf (CoRR, 2025)

Multiantenna Radar Signal Interference Mitigation Using Complex-Valued Convolutional Neural Networks. - Alexander Fuchs 009; Johanna Rock; Máté Tóth; Paul Meissner; Franz Pernkopf (IEEE Trans. Syst. Man Cybern. Syst., 2025)