If you made any changes in Pure these will be visible here soon.

Research Output 1999 2019

2019

Optimisation of Overparametrized Sum-Product Networks

Trapp, M., Peharz, R. & Pernkopf, F., Jun 2019.

Research output: Contribution to conferencePaperResearchpeer-review

2018

Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters

Nguyen, T. K. T. & Pernkopf, F., 2018, Workshop on Detection and Classification of Acoustic Scenes and Events.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters

Nguyen, T. K. T. & Pernkopf, F., 20 Nov 2018.

Research output: Contribution to conferencePosterResearchpeer-review

File
Acoustics
Neural networks
Acoustic waves

Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 1 Sep 2018, In : Iron & Steel Technology. 15, 9, p. 52-60 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Refractory materials
Data mining
Wear of materials
Artificial intelligence
Iron and steel plants

Auditory Discrimination of Different Types of Sonified Synthesized Glottal Area Waveforms

Aichinger, P., Roesner, I., Pernkopf, F. & Schoentgen, J., 2018, International Conference on Voice Physiology and Biomechanics (ICVPB).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Automatic clustering of a network protocol with weakly-supervised clustering

Schrank, T. & Pernkopf, F., 2018, arXiv.org; https://arxiv.org/abs/1806.00981.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

Roth, W. & Pernkopf, F., 6 Dec 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticleResearchpeer-review

Dirichlet Process
Bayesian Networks
Sharing
Neural Networks
Neural networks

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

Messner, E., Fediuk, M., Swatek, P., Scheidl, S., Smolle-Juttner, F. M., Olschewski, H. & Pernkopf, F., 26 Oct 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers, Vol. 2018-July. p. 356-359 4 p. 8512237

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sound recording
Recurrent neural networks
Respiratory Sounds
Respiration
Acoustic waves

Detection of Extra Pulses in Synthesized Glottal Area Waveforms of Dysphonic Voices

Aichinger, P., Schoentgen, J. & Pernkopf, F., 2018, In : Biomedical Signal Processing and Control. 50

Research output: Contribution to journalArticleResearchpeer-review

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation

Knoll, C., Chen, T., Mehta, D. & Pernkopf, F., 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 9, p. 2124-2136

Research output: Contribution to journalArticleResearchpeer-review

Heart Sound Segmentation - An Event Detection Approach using Deep Recurrent Neural Networks

Messner, E., Zöhrer, M. & Pernkopf, F., 2018, In : IEEE transactions on biomedical engineering. 65, 9

Research output: Contribution to journalArticleResearchpeer-review

Hybrid generative-discriminative training of Gaussian mixture models

Roth, W., Peharz, R., Tschiatschek, S. & Pernkopf, F., 1 Sep 2018, In : Pattern recognition letters. 112, p. 131-137 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Covariance matrix
Maximum likelihood
Experiments
Statistical Models

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

Trapp, M., Peharz, R., Rassmusen, C. & Pernkopf, F., 2018, International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Resource Efficient Deep Eigenvector Beamforming

Zöhrer, M., Pfeifenberger, L., Schnindler, G., Fröning, H. & Pernkopf, F., 2018, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). p. 3354-3358 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sound Event Detection Using Weakly Labeled Semi-Supervised Data with GCRNNs, VAT, and self-adaptive label refinement

Harb, R. & Pernkopf, F., 2018, Workshop on Detection and Classification of Acoustic Scenes and Events.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sum-Product Networks for Structured Prediction

Ratajczak, M., Tschiatschek, S. & Pernkopf, F., 2018, In : arXiv.org e-Print archive.

Research output: Contribution to journalArticleResearch

Towards Efficient Forward Propagation on Resource-Constrained Systems

Schindler, G., Zöhrer, M., Pernkopf, F. & Fröning, H., 2018, European Conference on Machine Learning (ECML).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2017

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

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 2017, 2017 AISTech Conference Proceedings.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Digital Refractory Age

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 2017, In : Bulletin, the Journal of Refractory Innovations / Steel & Industrial Edition. 2017, 1, p. 12-20

Research output: Contribution to journalArticleResearch

DNN-based Speech Mask Estimation for Eigenvector Beamforming

Pfeifenberger, L., Zöhrer, M. & Pernkopf, F., 2017, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Pfeifenberger, L., Zöhrer, M. & Pernkopf, F., 2017, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Eye Movements during silent and oral reading in a regular orthography: Basic characteristics and correlations with childhood cognitive abilities and adolescent reading skills

Krieber, M., Bartl-Pokorny, K. D., Pokorny, F. B., Zhang, D., Landerl, K., Körner, C., Pernkopf, F., Pock, T., Einspieler, C. & Marschik, P. B., 1 Feb 2017, In : PLoS ONE. 12, 2, 0170986.

Research output: Contribution to journalArticleResearchpeer-review

Aptitude
Eye movements
Eye Movements
childhood
Reading

Frame and Segment Level Recurrent Neural Networks for Phone Classification

Ratajczak, M., Tschiatschek, S. & Pernkopf, F., 2017, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds

Messner, E., Hagmüller, M. & Pernkopf, F., 2017, BIOSIGNALS.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Modelling of Random Extra Pulses During Quasi-Closed Glottal Cycle Phases

Aichinger, P., Roesner, I., Schöntgen, J. & Pernkopf, F., 2017, MAVEBA.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Knoll, C. & Pernkopf, F., 12 Aug 2017, Uncertainty in Artificial Intelligence.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

On the Latent Variable Interpretation in Sum-Product Networks

Peharz, R., Gens, R., Pernkopf, F. & Domingos, P., 2017, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 10, p. 2030-2044

Research output: Contribution to journalArticleResearchpeer-review

Respiratory airflow estimation from lung sounds based on regression

Messner, E., Hagmuller, M., Swatek, P., Smolle-Juttner, F. M. & Pernkopf, F., 16 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers, p. 1123-1127 5 p. 7952331

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sound recording
Acoustic waves
Sensors
Acoustics
Polynomials

Safe Semi-Supervised Learning of Sum-Product Networks

Trapp, M., Madl, T., Peharz, R., Pernkopf, F. & Trappl, R., 2017, Uncertainty in Artificial Intelligence (UAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices

Aichinger, P., Hagmüller, M., Schneider-Stickler, B., Schoentgen, J. & Pernkopf, F., 6 Oct 2017, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 26, 2, p. 330-341

Research output: Contribution to journalArticleResearchpeer-review

Benchmarking
candidacy
waveforms
voting
Phonation

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

Zöhrer, M. & Pernkopf, F., 2017, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2016

A Robust multichannel lung sound recording device

Messner, E., Hagmüller, M., Swatek, P. & Pernkopf, F., 2016, BIODEVICES 2016 - 9th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016. SciTePress, p. 34-39 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sound recording
Acoustic waves
Acoustic noise
Foams
Transducers

Contributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video material

Pokorny, F. B., Schuller, B. W., Peharz, R., Pernkopf, F., Bartl-Pokorny, K. D., Einspieler, C. & Marschik, P. B., 2016, Congreso Internacional Psicologia Clinica.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Deep Beamforming and Data Augmentation for Robust Speech Recognition: Results of the 4th CHiME Challenge

Schrank, T., Pfeifenberger, L., Zöhrer, M., Stahl, J., Mowlaee Beikzadehmahaleh, P. & Pernkopf, F., 2016, CHiME 4 Workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Fixed Point Solutions of Belief Propagation

Knoll, C., Pernkopf, F., Mehta, D. & Chen, T., 9 Dec 2016.

Research output: Contribution to conferencePosterResearchpeer-review

Fixed Points Solutions of Belief Propagation

Knoll, C., Pernkopf, F., Mehta, D. & Chen, T., 2016, Neural Information Processing Systems (NIPS) workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Fundamental Frequency Tracking in Diplophonic Voices

Aichinger, P., Hagmüller, M., Roesner, I., Schneider-Stickler, B., Schoentgen, J. & Pernkopf, F., 2016, In : Biomedical Signal Processing and Control.

Research output: Contribution to journalArticleResearchpeer-review

Gated Recurrent Networks applied to Acoustic Scene Classification

Zöhrer, M. & Pernkopf, F., 2016, EUSIPCO.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning Models of a Network Protocol using Neural Network Language Models

Aichernig, B., Bloem, R., Pernkopf, F., Röck, F., Schrank, T. & Tappler, M., 2016, IEEE Symposium on Security and Privacy, SP 2016, San Jose, CA, USA, May 22-26, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Pokorny, F. B., Peharz, R., Roth, W., Zöhrer, M., Pernkopf, F., Marschik, P. B. & Schuller, B. W., 2016, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Maximum Margin Hidden Markov Models for Sequence Classi cation

Mutsam, N. & Pernkopf, F., 2016, In : Pattern recognition letters. 77, p. 14-20 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Phase-Aware Signal Processing for Automatic Speech Recognition

Fahringer, J., Schrank, T., Stahl, J., Mowlaee Beikzadehmahaleh, P. & Pernkopf, F., 2016, INTERSPEECH. p. 3374-3378 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Retrospektive Analyse frühkindlicher Lautäußerungen in "Home- Videos": Ein signalanalytischer Ansatz zur Früherkennung von Entwicklungsstörungen

Schuller, B. W., Peharz, R., Pernkopf, F., Bartl-Pokorny, K. D., Einspieler, C., Marschik, P. B. & Pokorny, F. B., 2016, Österreichische Linguistiktagung (ÖLT42).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees

Trapp, M., Peharz, R., Skowron, M., Madl, T., Pernkopf, F. & Trappl, R., 2016, Neural Information Processing Systems (NIPS) workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Roth, W. & Pernkopf, F., 2016, Neural Information Processing Systems (NIPS) workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Ratajczak, M., Tschiatschek, S. & Pernkopf, F., 2016, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2015

Detection of Negative Emotions in Speech Signals Using Bags-of-Audio-Words

Pokorny, F., Graf, F., Pernkopf, F. & Schuller, B., 2015, Intern. Workshop on Automatic Sentiment Analysis in the Wild - part of Intern. Conf. on Affective Computing and Intelligent Interaction (ACII). ., p. x-x

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Generatively Optimized Bayesian Network Classifiers Under Computational Constraints

Tschiatschek, S. & Pernkopf, F., 2015, International Conference on Machine Learning (ICML), Workshop on Resource-Efficient Machine Learning. ., p. x-x

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning of Bayesian Network Classifiers Under Computational Constraints

Tschiatschek, S. & Pernkopf, F., 2015, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ., p. x-x

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review