F. Pernkopf

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Gated Recurrent Networks applied to Acoustic Scene Classification

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2016, DCASE.

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks pdf

Franz Pernkopf, Christian Knoll, Alexander Fuchs, 2021, ArXiv.

Lung Sound Classification Using Co-tuning and Stochastic Normalization pdf

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2021, IEEE Transactions on Biomedical Engineering.

Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks

Franz Pernkopf, Stefan Scheidl, Elmar Messner, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

Franz Pernkopf, Wolfgang Roth, F. Pernkopf, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Blind Speech Separation and Dereverberation using Neural Beamforming pdf

Franz Pernkopf, Lukas Pfeifenberger, F. Pernkopf, 2021, Speech Commun..

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement pdf

Holger Fröning, Franz Pernkopf, Matthias Zöhrer, 2020, ArXiv.

Belief propagation: accurate marginals or accurate partition function—where is the difference?

Franz Pernkopf, Christian Knoll, F. Pernkopf, 2020, UAI.

Fundamental frequency tracking in diplophonic voices

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2017, Biomed. Signal Process. Control..

Detection of negative emotions in speech signals using bags-of-audio-words

Björn W. Schuller, Franz Pernkopf, Franz Graf, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Wake-up-word spotting for mobile systems

Franz Pernkopf, Martin Hagmüller, A. Zehetner, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Parameterized Structured Pruning for Deep Neural Networks

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2019, LOD.

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Heart Sound Segmentation—An Event Detection Approach Using Deep Recurrent Neural Networks

Franz Pernkopf, Elmar Messner, Matthias Zöhrer, 2018, IEEE Transactions on Biomedical Engineering.

End-to-End Keyword Spotting Using Neural Architecture Search and Quantization

F. Pernkopf, David Peter, Wolfgang Roth, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection of surface defects on raw steel blocks using Bayesian network classifiers

Franz Pernkopf, F. Pernkopf, 2004, Pattern Analysis and Applications.

Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation

Franz Pernkopf, Paul Meissner, Johanna Rock, 2021, IEEE Journal of Selected Topics in Signal Processing.

Deep Structured Mixtures of Gaussian Processes

C. Rasmussen, M. Trapp, F. Pernkopf, 2019, AISTATS.

Self-Guided Belief Propagation – A Homotopy Continuation Method pdf

Franz Pernkopf, Christian Knoll, Florian Kulmer, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Eigenvector-based Speech Mask Estimation using a Logistic Regression for Multi-Channel Speech Enhancement

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zöhrer, 2017 .

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions

Franz Pernkopf, Richard Seeber, Christian Knoll, 2021, UAI.

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version) pdf

Bernhard K. Aichernig, Franz Pernkopf, Martin Horn, 2019, ICTSS.

A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario

Franz Pernkopf, Gregor Pirker, Michael Wohlmayr, 2011, INTERSPEECH.

Stochastic margin-based structure learning of Bayesian network classifiers

Franz Pernkopf, Michael Wohlmayr, F. Pernkopf, 2013, Pattern Recognit..

Discriminative versus generative parameter and structure learning of Bayesian network classifiers

Franz Pernkopf, Jeff A. Bilmes, J. Bilmes, 2005, ICML.

Order-based Discriminative Structure Learning for Bayesian Network Classifiers

Franz Pernkopf, Jeff A. Bilmes, J. Bilmes, 2008, ISAIM.

Guided Selection of Accurate Belief Propagation Fixed Points

Franz Pernkopf, Christian Knoll, Florian Kulmer, 2019 .

Message Scheduling Methods for Belief Propagation

Sebastian Tschiatschek, Franz Pernkopf, Michael Rath, 2015, ECML/PKDD.

Variational Inference of Structured Line Spectra Exploiting Group-Sparsity

K. Witrisal, E. Leitinger, F. Pernkopf, 2023, 2303.03017.

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results

Franz Pernkopf, Matthias Zöhrer, Martin Hagmüller, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition

Franz Pernkopf, Christina Leitner, Juan Andres Morales-Cordovilla, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Differentiable TAN Structure Learning for Bayesian Network Classifiers pdf

Franz Pernkopf, Wolfgang Roth, F. Pernkopf, 2020, PGM.

A Robust Multichannel Lung Sound Recording Device

Franz Pernkopf, Martin Hagmüller, Elmar Messner, 2016, BIODEVICES.

Deep Complex-valued Neural Beamformers

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development

Björn W. Schuller, Franz Pernkopf, Robert Peharz, 2016, INTERSPEECH.

On Discriminative Parameter Learning of Bayesian Network Classifiers

Franz Pernkopf, Michael Wohlmayr, F. Pernkopf, 2009, ECML/PKDD.

Example or Prototype? Learning Concept-Based Explanations in Time-Series

F. Pernkopf, A. Apollonio, L. Felsberger, 2022 .

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models

Franz Pernkopf, Michael Wohlmayr, Michael Stark, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Visual Inspection of Machined Metallic High-Precision Surfaces

Franz Pernkopf, Paul O'Leary, F. Pernkopf, 2002, EURASIP J. Adv. Signal Process..

Floating search algorithm for structure learning of Bayesian network classifiers

Franz Pernkopf, Paul O'Leary, F. Pernkopf, 2003, Pattern Recognit. Lett..

Search-and-score structure learning algorithm for Bayesian network classifiers

Franz Pernkopf, Paul O'Leary, F. Pernkopf, 2003, International Conference on Quality Control by Artificial Vision.

Bayesian network classifiers versus selective k-NN classifier

Franz Pernkopf, F. Pernkopf, 2005, Pattern Recognit..

Variational Inference in Neural Networks using an Approximate Closed-Form Objective

Franz Pernkopf, Wolfgang Roth, F. Pernkopf, 2016 .

On the Asymptotic Optimality of Maximum Margin Bayesian Networks

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2013, AISTATS.

Convex Combinations of Maximum Margin Bayesian Network Classifiers

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2012, ICPRAM.

Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zöhrer, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2019, ECML/PKDD.

Efficient and Robust Machine Learning for Real-World Systems pdf

Holger Fröning, Sebastian Tschiatschek, Franz Pernkopf, 2018, ArXiv.

Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms

Philipp Aichinger, Franz Pernkopf, F. Pernkopf, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering pdf

Franz Pernkopf, Tobias Schrank, F. Pernkopf, 2018, ArXiv.

Acoustic Echo Cancellation with Cross-Domain Learning

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zoehrer, 2021, Interspeech.

Nonlinear Residual Echo Suppression Using a Recurrent Neural Network

Franz Pernkopf, Lukas Pfeifenberger, F. Pernkopf, 2020, INTERSPEECH.

Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement pdf

Franz Pernkopf, Robert Harb, F. Pernkopf, 2018, DCASE.

Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2017, INTERSPEECH.

Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2016, INTERSPEECH.

Advanced Data Mining for Process Optimizations and Use of A.I. to Predict Refractory Wear and to Analyse Refractory Behavior

Nikolaus Mutsam, Franz Pernkopf, Gregor Lammer, 2017 .

Refractory Condition Monitoring and Lifetime Prognosis for RH Degasser

F. Pernkopf, W. Winkler, A. Viertauer, 2019, AISTech2019 Proceedings of the Iron and Steel Technology Conference.

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation

Franz Pernkopf, Paul Meissner, Johanna Rock, 2021, International Radar Conference.

Parameter Learning of Bayesian Network Classifiers Under Computational Constraints

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2015, ECML/PKDD.

3D surface analysis using coupled HMMs

Franz Pernkopf, F. Pernkopf, 2005, Machine Vision and Applications.

On initialization of Gaussian mixtures: a hybrid genetic EM algorithm

Franz Pernkopf, F. Pernkopf, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

3D surface inspection using coupled HMMs

F. Pernkopf, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation

Franz Pernkopf, F. Pernkopf, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Fast Variational Block-Sparse Bayesian Learning

K. Witrisal, E. Leitinger, F. Pernkopf, 2023, 2306.00442.

Handling missing features in maximum margin Bayesian network classifiers

Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Exact Maximum Margin Structure Learning of Bayesian Networks

Franz Pernkopf, Robert Peharz, F. Pernkopf, 2012, ICML.

Generalization of pre-image iterations for speech enhancement

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Suppression of musical noise in enhanced speech using pre-image iterations

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Musical noise suppression for speech enhancement using pre-image iterations

F. Pernkopf, C. Leitner, F. Pernkopf, 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

Speech enhancement using pre-image iterations

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Pre-image Problem and Kernel PCA for Speech Enhancement

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2011, NOLISP.

Maximum Margin Bayesian Network Classifiers

Sebastian Tschiatschek, Franz Pernkopf, Michael Wohlmayr, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields

Franz Pernkopf, Christian Knoll, F. Pernkopf, 2017, UAI.

Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters

Franz Pernkopf, Thi Kim Truc Nguyen, Thi Nguyen, 2018, DCASE.

Maximum margin hidden Markov models for sequence classification

Nikolaus Mutsam, Franz Pernkopf, F. Pernkopf, 2016, Pattern Recognit. Lett..

Representation Learning for Single-Channel Source Separation and Bandwidth Extension

Franz Pernkopf, Robert Peharz, Matthias Zöhrer, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Integer Bayesian Network Classifiers

Sebastian Tschiatschek, Franz Pernkopf, Karin Paul, 2014, ECML/PKDD.

Modeling speech with sum-product networks: Application to bandwidth extension

Franz Pernkopf, Robert Peharz, Pejman Mowlaee Begzade Mahale, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Bayesian Network Classifiers with Reduced Precision Parameters

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Maximum margin structure learning of Bayesian network classifiers

Franz Pernkopf, Manfred Mücke, Michael Wohlmayr, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks pdf

Carl E. Rasmussen, Franz Pernkopf, Robert Peharz, 2018, ArXiv.

Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

Franz Pernkopf, Andrea Apollonio, Walter Wuensch, 2021 .

On the Latent Variable Interpretation in Sum-Product Networks

Franz Pernkopf, Pedro M. Domingos, Robert Peharz, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Greedy Part-Wise Learning of Sum-Product Networks

Franz Pernkopf, Robert Peharz, Bernhard C. Geiger, 2013, ECML/PKDD.

On Theoretical Properties of Sum-Product Networks

Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos, 2015, AISTATS.

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization pdf

Franz Pernkopf, David Peter, Wolfgang Roth, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals

Franz Pernkopf, Paul Meissner, Johanna Rock, 2020, 2020 IEEE International Radar Conference (RADAR).

Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks

Franz Pernkopf, Paul Meissner, Johanna Rock, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders

F. Pernkopf, Robert Peharz, Christian Knoll, 2024, 2402.14781.

Representation models in single channel source separation

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On representation learning for artificial bandwidth extension

Franz Pernkopf, Robert Peharz, Matthias Zöhrer, 2015, INTERSPEECH.

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks

Holger Fröning, Franz Pernkopf, Günther Schindler, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Speech enhancement based on joint time-frequency segmentation

Gernot Kubin, Franz Pernkopf, Charturong Tantibundhit, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Single channel source separation with general stochastic networks

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2014, INTERSPEECH.

Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices

J. Schoentgen, F. Pernkopf, Philipp Aichinger, 2019, Biomed. Signal Process. Control..