| Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther Advances in neural information processing systems, 2199-2207, 2016 | 482 | 2016 |
| A disentangled recognition and nonlinear dynamics model for unsupervised learning M Fraccaro, S Kamronn, U Paquet, O Winther Advances in Neural Information Processing Systems, 3601-3610, 2017 | 370 | 2017 |
| BIVA: A very deep hierarchy of latent variables for generative modeling L Maaløe, M Fraccaro, V Liévin, O Winther Advances in neural information processing systems, 6548-6558, 2019 | 245 | 2019 |
| A deep learning approach to adherence detection for type 2 diabetics A Mohebbi, TB Aradóttir, AR Johansen, H Bengtsson, M Fraccaro, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 88 | 2017 |
| Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks M Fischetti, M Fraccaro Computers & Operations Research 106, 289-297, 2019 | 68 | 2019 |
| Semi-supervised generation with cluster-aware generative models L Maaløe, M Fraccaro, O Winther arXiv preprint arXiv:1704.00637, 2017 | 39 | 2017 |
| Generative temporal models with spatial memory for partially observed environments M Fraccaro, D Rezende, Y Zwols, A Pritzel, SMA Eslami, F Viola International Conference on Machine Learning, 1549-1558, 2018 | 33 | 2018 |
| The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review D Li, LM Pehrson, CA Lauridsen, L Tøttrup, M Fraccaro, D Elliott, ... Diagnostics 11 (12), 2206, 2021 | 32 | 2021 |
| Deep latent variable models for sequential data M Fraccaro PhD thesis, Technical University of Denmark, 2018 | 32 | 2018 |
| Indexable probabilistic matrix factorization for maximum inner product search M Fraccaro, U Paquet, O Winther Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 21 | 2016 |
| Palm area detection for reliable hand gesture recognition G Marin, M Fraccaro, M Donadeo, F Dominio, P Zanuttigh Proceedings of MMSP 2013, 120, 2013 | 19 | 2013 |
| Using OR+ AI to predict the optimal production of offshore wind parks: a preliminary study M Fischetti, M Fraccaro Optimization and Decision Science: Methodologies and Applications: ODS …, 2017 | 11 | 2017 |
| Perturbation theory for variational inference M Opper, M Fraccaro, U Paquet, A Susemihl, O Winther Proc. Conf. Neural Inf. Process. Syst. Workshops, 2015 | 7 | 2015 |
| Inter-and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based … D Li, LM Pehrson, L Tøttrup, M Fraccaro, R Bonnevie, J Thrane, ... Diagnostics 12 (12), 3112, 2022 | 6 | 2022 |
| An efficient implementation of Riemannian manifold Hamiltonian Monte Carlo for Gaussian process models U Paquet, M Fraccaro arXiv preprint arXiv:1810.11893, 2018 | 4 | 2018 |
| CaGeM: A cluster aware deep generative model L Maaløe, M Fraccaro, O Winther NIPS Workshop on Advances in Approximate Bayesian Inference, Long Beach, CA …, 2017 | 3 | 2017 |
| An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants M Fraccaro, U Paquet, O Winther arXiv preprint arXiv:1604.01972, 2016 | 3 | 2016 |
| Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ... Diagnostics 13 (6), 1070, 2023 | 2 | 2023 |
| Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System … D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ... | | 2023 |
| Learning to index M Fraccaro Technical University of Denmark, 2014 | | 2014 |
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkAdresse e-mail validée de bio.ku.dk
