Franz Pernkopf

2017
Trapp, M., Madl T., Peharz R., Pernkopf F., & Trappl R. (2017).  Safe Semi-Supervised Learning of Sum-Product Networks. Conference on Uncertainty in Artificial Intelligence (UAI). Abstract  Download: cameraready_version.pdf (1.98 MB)
2016
Knoll, C., Pernkopf F., Mehta D., & Chen T. (2016).  Fixed Points Solutions of Belief Propagation. Neural Information Processing Systems (NIPS) workshop.  Download: KnollEtAl2016.pdf (313.3 KB)
Peharz, R., Gens R., Pernkopf F., & Domingos P. (2016).  On the Latent Variable Interpretation in Sum-Product Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence.  Download: 1601.06180.pdf (649.55 KB)
Aichernig, B., Bloem R., Pernkopf F., Röck F., Schrank T., & Tappler M. (2016).  Poster: Learning Models of a Network Protocol using Neural Network Language Models. IEEE Symposium on Security and Privacy, {SP} 2016, San Jose, CA, USA, May 22-26, 2016.
Trapp, M., Peharz R., Skowron M., Madl T., Pernkopf F., & Trappl R. (2016).  Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees. Practical Bayesian Nonparametrics Workshop at the Annual Conference on Neural Information Processing Systems (NIPS).  Download: BNPNIPS_2016_paper_9.pdf (1.16 MB)
2015
Pokorny, F., Graf F., Pernkopf F., & Schuller B. (2015).  Detection of Negative Emotions in Speech Signals Using Bags-of-Audio-Words. Intern. Workshop on Automatic Sentiment Analysis in the Wild - part of Intern. Conf. on A ective Computing and Intelligent Interaction (ACII).  Download: PokornyEtAl_WASA2015.pdf (175.43 KB)
Tschiatschek, S., & Pernkopf F. (2015).  Generatively Optimized Bayesian Network Classi- ers Under Computational Constraints. International Conference on Machine Learning (ICML), Workshop on Resource-Ecient Machine Learning.
Tschiatschek, S., & Pernkopf F. (2015).  Learning of Bayesian Network Classi ers Under Computational Constraints. European Conference on Machine Learning (ECML).  Download: ecml2015_Seb.pdf (402.76 KB)
Tschiatschek, S., & Pernkopf F. (2015).  On Bayesian Network Classifiers with Reduced Precision Parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(4), 774-785. Download: mainRevisedMinor.pdf (511.56 KB)