An inclusion optimal algorithm for chain graph structure learning J Pena, D Sonntag, J Nielsen Artificial Intelligence and Statistics, 778-786, 2014 | 31 | 2014 |
Learning optimal chain graphs with answer set programming D Sonntag, M Järvisalo, JM Peña, A Hyttinen Proceedings of the Thirty-First Conference on Uncertainty in Artificial …, 2015 | 26 | 2015 |
Chain graph interpretations and their relations revisited D Sonntag, JM Pena International Journal of Approximate Reasoning 58, 39-56, 2015 | 26 | 2015 |
Approximate counting of graphical models via MCMC revisited D Sonntag, JM Pena, M Gómez‐Olmedo International Journal of Intelligent Systems 30 (3), 384-420, 2015 | 23 | 2015 |
Learning multivariate regression chain graphs under faithfulness D Sonntag, JM Peña Sixth European Workshop on Probabilistic Graphical Models (PGM 2012), 19-21 …, 2012 | 22 | 2012 |
Learning AMP chain graphs under faithfulness JM Pena arXiv preprint arXiv:1204.5357, 2012 | 21 | 2012 |
Towards big data visualization for monitoring and diagnostics of high volume semiconductor manufacturing D Gkorou, A Ypma, G Tsirogiannis, M Giollo, D Sonntag, G Vinken, ... Proceedings of the Computing Frontiers Conference, 338-342, 2017 | 13 | 2017 |
A study of quadrotor modelling D Sonntag | 13 | 2011 |
Chain graphs and gene networks D Sonntag, JM Peña Foundations of Biomedical Knowledge Representation: Methods and Applications …, 2015 | 11 | 2015 |
A Study of Chain Graph Interpretations D Sonntag Linköping University Electronic Press, 2014 | 8 | 2014 |
Chain graph interpretations and their relations D Sonntag, JM Pena Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 12th …, 2013 | 8 | 2013 |
A novel patterning control strategy based on real-time fingerprint recognition and adaptive wafer level scanner optimization HE Cekli, J Nije, A Ypma, V Bastani, D Sonntag, H Niesing, L Zhang, ... Metrology, Inspection, and Process Control for Microlithography XXXII 10585 …, 2018 | 6 | 2018 |
Chain graphs: Interpretations, expressiveness and learning algorithms D Sonntag Linköping University Electronic Press, 2016 | 6 | 2016 |
On expressiveness of the chain graph interpretations D Sonntag, JM Pena International Journal of Approximate Reasoning 68, 91-107, 2016 | 5 | 2016 |
Method to label substrates based on process parameters V Bastani, A Ypma, D Sonntag, EC Mos, HE Cekli, C Lin US Patent App. 16/960,376, 2020 | 4 | 2020 |
On expressiveness of the AMP chain graph interpretation D Sonntag Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014 | 2 | 2014 |
Method to predict yield of a device manufacturing process A Ypma, CE Tabery, SHC Van Gorp, C Lin, D Sonntag, HE Cekli, ... US Patent 11,714,357, 2023 | 1 | 2023 |
Method and apparatus for determining feature contribution to performance V Bastani, D Sonntag, R Sahraeian, D Gkorou US Patent App. 17/624,014, 2022 | | 2022 |
Maintaining a set of process fingerprints A Ypma, V Bastani, D Sonntag, N Jelle, HE Cekli, G Tsirogiannis, ... US Patent 11,099,485, 2021 | | 2021 |
Method to predict yield of a device manufacturing process A Ypma, CE Tabery, SHC Van Gorp, C Lin, D Sonntag, HE Cekli, ... US Patent 11,086,229, 2021 | | 2021 |