schließen

Publikationen 2017

Zeitschriften

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning Bioinformatics

Author(s): Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, Günter Klambauer
Published: Bioinformatics, December 2017 doi.org/10.1093/bioinformatics/btx806

Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires J Immunol

Author(s): Victor Greiff, Cédric R. Weber, Johannes Palme, Ulrich Bodenhofer, Enkelejda Miho, Ulrike Menzel, Sai T. Reddy
Published: J Immunol September 18, 2017 doi.org/10.4049/jimmunol.1700594

Rectified factor networks for biclustering of omics data Bioinformatics

panelcn.MOPS: Copy number detection in targeted NGS panel data for clinical diagnostics Human Mutation

Author(s): Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid, Ludwine Messiaen, Johannes Zschocke, Günter Klambauer, Sepp Hochreiter, Katharina Wimmer
Published: Human Mutation, 38(7):889-897, 2017 doi:10.1002/humu.23237

Konferenzen

Self-Normalizing Neural Networks NIPS

Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium NIPS

Author(s): Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
Published: Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Robust Learning by Conditional Independence of Hidden Units NIPS

Author(s): Karin Schwarzbauer, Markus Hofmarcher, Thomas Adler, Sepp Hochreiter
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

DeepSynergy: Prediction of synergies of anti-cancer drugs with Deep Learning NIPS

Author(s): Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Convolutional Neural Networks for Subcellular Protein Localization NIPS

Author(s): Elisabeth Rumetshofer, Markus Hofmarcher, Sepp Hochreiter, Günter Klambauer
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

panelcn.MOPS - a mixture of Poissons model for copy number detection NIPS

Author(s): Gundula Povysil, Günter Klambauer, Katharina Wimmer, Sepp Hochreiter
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

HapRFN: Rectified Factor Networks for identifying short IBD segments NIPS

Author(s): Gundula Povysil, Djork-Arné Clevert, Sepp Hochreiter
Published: Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Position kernels as a key to making sense of very rare and private single-nucleotide variants NIPS

Author(s): Ulrich Bodenhofer, Sepp Hochreiter
Published: Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Machine Learning-Based Risk Profile Classification: A Case Study for Heart Valve Surgery NIPS

Author(s): Ulrich Bodenhofer, Bettina Haslinger-Eisterer, Alexander Minichmayer, Georg Hermanutz, Jens Meier
Published: Workshop on Machine Learning for Health, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Deep Learning for Prediction of Synergistic Effects of Anti-cancer Drugs NIPS

Author(s): Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Deep Learning Yields Virtual Assays NIPS

Author(s): Thomas Unterthiner, Günter Klambauer, Andreas Mayr, Sepp Hochreiter
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Toxicity Prediction Using Self-normalizing Networks NIPS

Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017

Bücher/Buch Kapitel

Machine Learning-Based Individualized Prognosis Whitebook Medical Technology

Author(s): Ulrich Bodenhofer, Jens Meier, Bettina Haslinger-Eisterer
Published: Whitebook Medical Technology, ISBN 978-3-200-05215-4, pp. 22-23, 2017

Publikationen (non-peer-reviewed)

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium arXiv.org

Author(s): Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
Published: arXiv.org, June 2017
Download: arXiv:1706.08500

Self-Normalizing Neural Networks arXiv.org

Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: arXiv.org, June 2017
Download: arXiv:1706.02515

Repurposed High-Throughput Images Enable Biological Activity Prediction For Drug Discovery biorxiv.org

Author(s): Jaak Simm, Guenter Klambauer, Adam Arany, Marvin Steijaert, Joerg Kurt Wegner, Emmanuel Gustin, Vladimir Chupakhin, Yolanda T. Chong, Jorge Vialard, Peter Buijnsters, Ingrid Velter, Alexander Vapirev, Shantanu Singh, Anne Carpenter, Roel Wuyts, Sepp Hochreiter, Yves Moreau, Hugo Ceulemans
Published: biorxiv.org, March 2017
Download: doi:10.1101/108399

Abschlussarbeiten

Moment Dynamics in Self-Normalising Neural Networks Master Thesis

Published: Master Thesis, 2017
Author(s): Pieter-Jan Hoedt

Analyzing NGS Data with Machine Learning - From IBD Segments to Copy Number Variations PhD Thesis

Published: PhD Thesis, 2017
Author(s): Gundula Povysil

Comparison of Rare Variant Association Tests on UK10K Whole Genome Sequencing Data Master Thesis

Published: Master Thesis, 2017
Author(s): Bellatrix Szantho

Convolutional LSTM for Next Frame Prediction Master Thesis

Published: Master Thesis, 2017
Author(s): Thomas Adler

About gradient based importance weighting in feed-forward artificial neural networks Master Thesis 

Published: Master Thesis, 2017
Author(s): Hubert Ramsauer