Autoencoding beyond pixels using a learned similarity metric ABL Larsen, SK S©ªnderby, H Larochelle, O Winther International conference on machine learning, 1558-1566, 2016 | 2463 | 2016 |
Ladder variational autoencoders CK S©ªnderby, T Raiko, L Maal©ªe, SK S©ªnderby, O Winther Advances in neural information processing systems 29, 2016 | 1025* | 2016 |
DeepLoc: prediction of protein subcellular localization using deep learning JJ Almagro Armenteros, CK S©ªnderby, SK S©ªnderby, H Nielsen, ... Bioinformatics 33 (21), 3387-3395, 2017 | 1002 | 2017 |
Auxiliary deep generative models L Maal©ªe, CK S©ªnderby, SK S©ªnderby, O Winther International conference on machine learning, 1445-1453, 2016 | 523 | 2016 |
Sequential neural models with stochastic layers M Fraccaro, SK S©ªnderby, U Paquet, O Winther Advances in neural information processing systems 29, 2016 | 443 | 2016 |
Lasagne: first release S Dieleman, J Schlüter, C Raffel, E Olson, SK S©ªnderby, D Nouri, ... Zenodo: Geneva, Switzerland 3, 74, 2015 | 441* | 2015 |
Protein secondary structure prediction with long short term memory networks SK S©ªnderby, O Winther arXiv preprint arXiv:1412.7828, 2014 | 291* | 2014 |
An introduction to deep learning on biological sequence data: examples and solutions VI Jurtz, AR Johansen, M Nielsen, JJ Almagro Armenteros, H Nielsen, ... Bioinformatics 33 (22), 3685-3690, 2017 | 171 | 2017 |
Convolutional LSTM networks for subcellular localization of proteins SK S©ªnderby, CK S©ªnderby, H Nielsen, O Winther Conference on Algorithms for Computational Biology, 2015 | 155 | 2015 |
Recurrent spatial transformer networks SK S©ªnderby, CK S©ªnderby, L Maal©ªe, O Winther arXiv preprint arXiv:1509.05329, 2015 | 69 | 2015 |
Deep recurrent conditional random field network for protein secondary prediction AR Johansen, CK S©ªnderby, SK S©ªnderby, O Winther Proceedings of the 8th ACM international conference on bioinformatics ¡¦, 2017 | 25 | 2017 |
Autoencoding beyond pixels using a learned similarity metric. arXiv 2015 ABL Larsen, SK S©ªnderby, H Larochelle, O Winther arXiv preprint arXiv:1512.09300, 0 | 10 | |
Lasagne: First release., Aug. 2015. doi: 10.5281/zenodo. 27878 S Dieleman, J Schlüter, C Raffel, E Olson, SK S©ªnderby, D Nouri, ... Project URL http://github. com/Lasagne/Lasagne, 0 | 5 | |
Non-parametric survival analysis in breast cancer using clinical and genomic markers S S©ªnderby, O Winther | 2 | 2014 |
Convolutional LSTM Networks for Subcellular Localization of Proteins S Kaae S©ªnderby, C Kaae S©ªnderby, H Nielsen, O Winther arXiv e-prints, arXiv: 1503.01919, 2015 | 1 | 2015 |
Convolutional LSTM networks for subcellular localization of proteins H Nielsen, SK S©ªnderby, CK S©ªnderby, O Winther First Annual Danish Bioinformatics Conference, 2015 | 1 | 2015 |
DeepLoc: prediction of protein subcellular localization using deep learning-DTU Orbit (19/10/2019) C Kaae, SK S©ªnderby, H Nielsen, O Winther Bioinformatics 33 (21), 3387-3395, 2017 | | 2017 |
Sequence Analysis SK S©ªnderby University of Copenhagen, Faculty of Science,[Department of Biology], 2017 | | 2017 |
Recurrent Spatial Transformer Networks S Kaae S©ªnderby, C Kaae S©ªnderby, L Maal©ªe, O Winther arXiv e-prints, arXiv: 1509.05329, 2015 | | 2015 |
Convolutional LSTM Networks for Subcellular Localization of Proteins-DTU Orbit (25/01/2016) H Nielsen, SK S©ªnderby, CK S©ªnderby, O Winther | | |