Publications

Browse by Year: 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 
2005 | older

Journals | Conferences | Books/Book Chapters | Publications (non-peer-reviewed) | Theses

Journals

Title: Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Author(s): Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Marvin Steijaert, Jörg K. Wegner, Hugo Ceulemans, Djork-Arné Clevert, Sepp Hochreiter
Published: Chem. Sci., 9:5441-5451, 2018 doi.org/10.1039/c8sc00148k
Additional information: http://www.bioinf.jku.at/research/lsc/index.html
Dataset: http://www.bioinf.jku.at/research/lsc/mydata.html
 
Title: Multivariate analytics of chromatographic data: Visual computing based on moving window factor models
Author(s): Valentin Steinwandter, Michal Šišmiš, Patrick Sagmeister, Ulrich Bodenhofer, Christoph Herwig
Published: J. Chromatogr. B., 1092:179-190, 2018 doi.org/10.1016/j.jchromb.2018.06.010
 
Title: Defining objective clusters for rabies virus sequences using affinity propagation clustering
Author(s): Susanne Fischer, Conrad M. Freuling, Thomas Müller, Florian Pfaff, Ulrich Bodenhofer, Dirk Höper, Mareike Fischer, Denise A. Marston, Anthony R. Fooks, Thomas C. Mettenleiter, Franz J. Conraths, Timo Homeier-Bachmann
Published: PLoS Neglect. Trop. Dis., 12(1):e0006182, 2018 doi.org/10.1371/journal.pntd.0006182



Conferences

Title: Making Sense of Very Rare and Private Single-Nucleotide Variants
Author(s): Ulrich Bodenhofer, Sepp Hochreiter
Published: MAQC Society Second Annual Meeting, February 24-27, 2018, Shanghai, China
 



Books/Book Chapters



Publications (non-peer-reviewed)

Title: RUDDER: Return Decomposition for Delayed Rewards
Author(s): Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
Published: arXiv.org, June 2018
Download: arXiv:1806.07857
Video Demonstration: videos
Source code: https://github.com/ml-jku/baselines-rudder
 



Theses

Title: Artificial Intelligence in drug design: generative adversarial network for molecules generation
Published: Master Thesis, 2018
Author(s): Isaac Lazzeri