| Generic inference: a unifying theory for automated reasoning M Pouly, J Kohlas John Wiley & Sons, 2012 | 52 | 2012 |
| Computational aspects of attack–defense trees B Kordy, M Pouly, P Schweitzer International Joint Conferences on Security and Intelligent Information …, 2011 | 43 | 2011 |
| Observer‐independent assessment of psoriasis‐affected area using machine learning N Meienberger, F Anzengruber, L Amruthalingam, R Christen, T Koller, ... Journal of the European Academy of Dermatology and Venereology 34 (6), 1362-1368, 2020 | 33 | 2020 |
| A probabilistic framework for security scenarios with dependent actions B Kordy, M Pouly, P Schweitzer Integrated Formal Methods: 11th International Conference, IFM 2014 …, 2014 | 22 | 2014 |
| Text similarity estimation based on word embeddings and matrix norms for targeted marketing T vor der Brück, M Pouly Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 21 | 2019 |
| Probabilistic reasoning with graphical security models B Kordy, M Pouly, P Schweitzer Information sciences 342, 111-131, 2016 | 21 | 2016 |
| Local computation in covering join trees C Schneuwly, M Pouly, J Kohlas, M Pouly, J Kohlas Department of Informatics University of Fribourg, 2004 | 20 | 2004 |
| A generic framework for local computation M Pouly | 19 | 2008 |
| A generic Architecture for local Computation M Pouly Masterʼs thesis, Department of Informatics, University of Fribourg, 2004 | 16 | 2004 |
| Generalized information theory for hints M Pouly, J Kohlas, PYA Ryan International journal of approximate reasoning 54 (1), 228-251, 2013 | 13 | 2013 |
| Generic local computation J Kohlas, M Pouly, C Schneuwly Journal of Computer and System Sciences 78 (1), 348-369, 2012 | 11 | 2012 |
| On using Support Vector Machines for the Detection and Quantification of Hand Eczema. S Schnürle, M Pouly, T vor der Brück, AA Navarini, T Koller ICAART (2), 75-84, 2017 | 9 | 2017 |
| Detection and quantification of hand eczema by visible spectrum skin pattern analysis C Suter, A Navarini, M Pouly, R Arnold, FS Gutzwiller, R Meier, T Koller ECAI 2014, 1101-1102, 2014 | 9 | 2014 |
| Nenok 1.1 user guide M Pouly Department of informatics, University of Fribourg, 2006 | 9 | 2006 |
| Robust t-loss for medical image segmentation A Gonzalez-Jimenez, S Lionetti, P Gottfrois, F Gröger, M Pouly, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Artificial intelligence in image analysis—fundamentals and new developments M Pouly, T Koller, P Gottfrois, S Lionetti Der Hautarzt 71, 660-668, 2020 | 8 | 2020 |
| NENOK—a software architecture for generic inference M Pouly International Journal on Artificial Intelligence Tools 19 (01), 65-99, 2010 | 8 | 2010 |
| Optimizing inference in Bayesian networks and semiring valuation algebras M Wachter, R Haenni, M Pouly MICAI 2007: Advances in Artificial Intelligence: 6th Mexican International …, 2007 | 8 | 2007 |
| Cable tree wiring-benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints J Koehler, J Bürgler, U Fontana, E Fux, F Herzog, M Pouly, S Saller, ... Constraints 26 (1), 56-106, 2021 | 7 | 2021 |
| A Game-centric Approach to Teaching Artificial Intelligence. M Pouly, T Koller, R Arnold CSEDU (1), 398-404, 2019 | 7 | 2019 |
