Franz Pernkopf

Research output

Research output per year 1999 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2023

• 161 Conference paper
• 48 Article
• 10 Paper
• 2 Poster
• 12 More
  • 2 Patent
  • 2 Preprint
  • 1 Book
  • 1 Chapter
  • 1 (Old data) Lecture or Presentation
  • 1 Data set/Database
  • 1 Diploma Thesis
  • 1 Doctoral Thesis
  • 1 Habilitation
  • 1 Working paper

Research output per year

Research output per year

Search results

• 2023

  Active Bayesian Causal Inference

  Toth, C., Lorch, L., Knoll, C., Krause, A., Pernkopf, F., Peharz, R. & von Kügelgen, J., Apr 2023, Advances in Neural Information Processing Systems : NeurIPS 2022. Vol. 35.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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

  Obermair, C., Fuchs, A., Felsberger, L., Pernkopf, F., Apollonio, A. & Wollmann, D., 2023, 2022 Asian Conference on Machine Learning (ACML).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Fast Variational Block-Sparse Bayesian Learning

  Möderl, J., Pernkopf, F., Witrisal, K. & Leitinger, E., 1 Jun 2023, (Submitted) In: IEEE Transactions on Signal Processing.

  Research output: Contribution to journal › Article › peer-review

  • Bayesian 100%
  • Learning 100%
  • Bayesian Learning 100%
  • Measure of Dispersion 75%
  • Recurrent Relation 66%

• Single channel source separation in the wild - Conversational speech in realistic environments.

  Berger, E., Schuppler, B., Pernkopf, F. & Hagmüller, M., 2023, (Accepted/In press) 15th ITG Conference on Speech Communication. 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Source Separation 100%
  • Noisy Environment 33%
  • Spoken Dialog 33%
  • Performance Gain 33%
  • Conversation 33%

• UWBCarGraz Dataset

  Möderl, J., Posch, S., Pernkopf, F. & Witrisal, K., 20 Nov 2023

  Research output: Non-print form › Data set/Database

  Open Access

• "UWBCarGraz" Dataset for Car Occupancy Detection using Ultra-Wideband Radar

  Möderl, J., Posch, S., Pernkopf, F. & Witrisal, K., 20 Nov 2023, (Submitted) 2023 IEEE Radar Conference (RadarConf23). 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Variational Inference of Structured Line Spectra Exploiting Group-Sparsity

  Möderl, J., Pernkopf, F., Witrisal, K. & Leitinger, E., 6 Mar 2023, (Submitted) In: IEEE Transactions on Signal Processing.

  Research output: Contribution to journal › Article › peer-review

• Variational Message Passing-based Respiratory Motion Estimation and Detection Using Radar Signals

  Möderl, J., Leitinger, E., Pernkopf, F. & Witrisal, K., 7 Jun 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2022

  Blind Speech Separation and Dereverberation using Neural Beamforming

  Pfeifenberger, L. & Pernkopf, F., May 2022, In: Speech Communication. 140, p. 29-41 13 p.

  Research output: Contribution to journal › Article › peer-review

• Car Occupancy Detection Using Ultra-Wideband Radar

  Möderl, J., Pernkopf, F. & Witrisal, K., 5 Apr 2022, 2021 18th European Radar Conference, EuRAD 2021. IEEE Xplore, p. 313-316 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• End-to-end Keyword Spotting using Neural Architecture Search and Quantization

  Peter, D., Roth, W. & Pernkopf, F., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers, p. 3423-3427 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities

  Obermair, C., Cartier-Michaud, T., Apollonio, A., Millar, L., Felsberger, L., Fischl, L., Bovbjerg, H. S., Wollmann, D., Wuensch, W., Catalan-Lasheras, N., Boronat, M., Pernkopf, F. & Burt, G., Oct 2022, In: Physical Review Accelerators and Beams. 25, 10, 104601 .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Models 100%
  • Explainable Artificial Intelligence 100%
  • Learning 100%
  • Machine Learning 100%
  • Incidence 50%

• Fast and Resource-Efficient CNNs for Radar Interference Mitigation on Embedded Hardware

  Hirschmugl, M. E., Rock, J., Meissner, P. & Pernkopf, F., 2022, 2022 19th European Radar Conference, EuRAD 2022. p. 197-200 4 p. (2022 19th European Radar Conference, EuRAD 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Fixing the Bethe Approximation: How Structural Modifications in a Graph Improve Belief Propagation

  Leisenberger, H., Pernkopf, F. & Knoll, C., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022): Uncertainty in Artificial Intelligence, 1-5 August 2022, Eindhoven, The Netherlands. p. 1085–1095 (Proceedings of Machine Learning Research ; vol. 180).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Homophone Disambiguation Profits from Durational Information

  Schuppler, B., Berger, E., Kogler, X. & Pernkopf, F., 2022, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vol. 2022-September. p. 3198-3202 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Disambiguation 100%
  • Speech Recognition System 66%
  • Contexts 33%
  • Random Decision Forest 33%
  • Random Forest Classifier 33%

• Lung Sound Classification Using Co-Tuning and Stochastic Normalization

  Nguyen, T. & Pernkopf, F., 1 Sept 2022, In: IEEE Transactions on Biomedical Engineering. 69, 9, p. 2872-2882 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Aided Diagnosis 100%
  • Residual Neural Network 100%

• Self-Guided Belief Propagation – a Homotopy Continuation Method

  Knoll, C., Weller, A. & Pernkopf, F., 2022, (E-pub ahead of print) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022, p. 1-18 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Continuation Method 100%
  • Homotopy 100%
  • Beliefs 100%
  • unique solution φ 50%
  • Graphical Model 50%
• 2021

  Acoustic Echo Cancellation with Cross-Domain Learning

  Pfeifenberger, L., Zöhrer, M. & Pernkopf, F., 2021, Interspeech.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Autonomous Robot for Measuring Room Impulse Responses

  Fragner, S., Topar, T., Giller, P. M., Pfeifenberger, L. & Pernkopf, F., 2021, Interspeech, Shoh&Tell.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Car Occupant Detection Using Ultra-Wideband Radar

  Möderl, J., Pernkopf, F. & Witrisal, K., 31 May 2021, 3rd Post IRACON Meeting. 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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

  Fuchs, A., Rock, J., Toth, M. A., Meissner, P. & Pernkopf, F., 2021, IEEE Radar Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Convergence Behavior of Belief Propagation: Estimating Regions of Attraction via Lyapunov Functions

  Leisenberger, H., Knoll, C., Seeber, R. & Pernkopf, F., 27 Jul 2021, 37th Conference on Uncertainty in Artificial Intelligence. p. 1863-1873 (Proceedings of Machine Learning Research; vol. 161).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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

  Nguyen, T. & Pernkopf, F., 2021, IEEE Engineering in Medicine and Biology Society (EMBC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Digital Optimization of Refractory Mainenance

  Mutsam, N., Pernkopf, F. & Lammer, G., 2021, The Iron \& Steel Technology Conference and Exposition.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Digital optimization of refractory maintenance

  Mutsam, N., Pernkopf, F. & Lammer, G., 2021, AISTech 2021 - Proceedings of the Iron and Steel Technology Conference. Association for Iron and Steel Technology, p. 1657-1666 10 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2021-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Process Data 100%
  • Machine Learning 100%
  • Statistics 100%
  • Condition Monitoring 100%
  • Decision Support System 100%

• Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks

  Fuchs, A., Knoll, C. & Pernkopf, F., 2021.

  Research output: Contribution to conference › Paper › peer-review

• Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

  Obermair, C., Apollonio, A., Carier-Michaud, T., Catalan-Lasheras, N., Felsberger, L., Millar, W. L., Wuensch, W. & Pernkopf, F., 2021.

  Research output: Contribution to conference › Paper › peer-review

• Machine Learning with a Hybrid Model for Monitoring of the Protection Systems of the LHC

  Obermair, C., Apollonio, A., Charifoulline, Z., Maciejewski, M., Pernkopf, F. & Verweij, A., 2021, International Particle Accelerator Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks

  Roth, W., Schindler, G., Fröning, H. & Pernkopf, F., 2021.

  Research output: Contribution to conference › Paper › peer-review

• Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation

  Rock, J., Roth, W., Toth, M. A., Meissner, P. & Pernkopf, F., Jun 2021, In: IEEE Journal on Selected Topics in Signal Processing. 15, 4, p. 927-940 14 p., 9364355.

  Research output: Contribution to journal › Article › peer-review

• Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization

  Peter, D., Roth, W. & Pernkopf, F., 2021.

  Research output: Contribution to conference › Paper › peer-review

• Synthesis and Analysis-by-Synthesis of Modulated Diplophonic Glottal Area Waveforms

  Aichinger, P. & Pernkopf, F., 2021, In: IEEE Transactions on Audio Speech and Language Processing . 29, p. 914-926 13 p., 9330597.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnitude Spectrum 100%
  • Projected Area 100%
  • Random Pattern 100%
  • Instantaneous Phase 100%

• Wasserstein Distribution Correction for Improved Robustness in Deep Neural Networks

  Fuchs, A., Knoll, C. & Pernkopf, F., 2021, NeurIPS Workshop DistShift.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2020

  Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction

  Nguyen, T., Kośmider, M. & Pernkopf, F., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. p. 126-130 5 p. 9053582

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Recording Device 100%
  • Data Distribution 66%

• Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

  Roth, W. & Pernkopf, F., 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 1, p. 246-252

  Research output: Contribution to journal › Article › peer-review

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

  Knoll, C. & Pernkopf, F., 21 Dec 2020, In: Journal of Statistical Mechanics: Theory and Experiment. 2020, 12, 124009.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Marginals 100%
  • Beliefs 100%
  • Partition Function 66%

• Deep Structured Mixtures of Gaussian Processes

  Trapp, M., Peharz, R., Pernkopf, F. & Rassmusen, C., 2020, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR108. Vol. 108. p. 2251-2261 (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Differentiable TAN Structure Learning for Bayesian Network Classifiers

  Roth, W. & Pernkopf, F., 2020.

  Research output: Contribution to conference › Paper › peer-review

• FMCW RADAR MIT STÖRSIGNALUNTERDRÜCKUNG MITTELS KÜNSTLICHEM NEURONALEN NETZ

  Meissner, P., Toth, M. A., Rock, J., Pernkopf, F. & Messner, E., 17 Sept 2020, IPC No. G01S 7/ 40 A I, Patent No. DE102019106529, Priority date 14 Mar 2019, Priority No. DE201910106529

  Research output: Patent

• Laser-based Hair Crack Detection on Wafers

  Fuchs, A., Priewald, R. & Pernkopf, F., Aug 2020, 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2020. 6 p. 9185278. (ASMC (Advanced Semiconductor Manufacturing Conference) Proceedings; vol. 2020-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Lung Sound Classification Using Snapshopt Ensemble of Convolutional Neural Networks

  Nguyen, T. & Pernkopf, F., 2020.

  Research output: Contribution to conference › Paper › peer-review

• Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks

  Nguyen, T. & Pernkopf, F., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers, p. 760-763 4 p. 9176076. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Training Cycle 100%

• Multi-channel Lung Sound Classification with Convolutional Recurrent Neural Networks

  Messner, E., Fediuk, M., Swatek, P., Scheidl, S., Smolle-Jüttner, M., Olschewski, H. & Pernkopf, F., 2020, In: Computers in Biology and Medicine. 122, 10 p., 103831.

  Research output: Contribution to journal › Article › peer-review

• Nonlinear Residual Echo Suppression using a Recurrent Neural Network

  Pfeifenberger, L. & Pernkopf, F., 1 Jan 2020, Interspeech 2020. ISCA, International Speech Communication Association, Vol. 2020-October. p. 3950-3954 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Parameterized Structured Pruning for Deep Neural Networks

  Schindler, G., Roth, W., Pernkopf, F. & Fröning, H., 1 Jan 2020, Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Revised Selected Papers. Nicosia, G., Ojha, V., La Malfa, E., Jansen, G., Sciacca, V., Pardalos, P., Giuffrida, G. & Umeton, R. (eds.). Springer, Cham, p. 16-27 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12566 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Substantial Amount 100%
  • General Purpose Processor 100%
  • Dedicated Hardware 100%

• Quantized Deep Neural Networks for Radar Interference Mitigation

  Rock, J., Roth, W., Meissner, P. & Pernkopf, F., 2020.

  Research output: Contribution to conference › Paper › peer-review

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

  Pfeifenberger, L., Zöhrer, M., Roth, W., Schindler, G., Fröning, H. & Pernkopf, F., 2020, 13 p. (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

  • Channels 100%
  • Deep Neural Network 100%
  • Speech Enhancement 100%
  • Hardware 33%
  • Machine Learning 33%

• Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled DenseNets

  Huber, M., Schindler, G., Roth, W., Fröning, H., Schörkhuber, C. & Pernkopf, F., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. p. 806-810 5 p. 9053542. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Separation Performance 100%
  • Time Processing 50%

• Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences

  Mutsam, N. & Pernkopf, F., 2020, In: IEEE Transactions on Instrumentation and Measurement. 69, 9, p. 6101-6111 11 p., 8985305.

  Research output: Contribution to journal › Article › peer-review

  • High Temperature 100%
  • Parametric Model 100%
  • Initialization 100%
  • Pattern Recognition 50%
  • Brick 50%
• 2019

  Acoustic Scene Classification Using Deep Mixture of Pre-trained Convolutional Neural Networks

  Nguyen, T. K. T., Pernkopf, F. & Fuchs, A., 2019, IEEE International Conference on Machine Learning and Applications.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review