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Schnitzler François

See author's contact details
Main Referenced Co-authors
Wehenkel, Louis  (13)
Geurts, Pierre  (7)
Leray, Philippe (4)
Joly, Arnaud  (3)
Ammar, Sourour (2)
Main Referenced Keywords
bayesian networks (6); Markov trees (5); mixture of trees (5); Chow-Liu algorithm (4); Chow-Liu (3);
Main Referenced Unit & Research Centers
Systèmes et Modélisation (5)
Systèmes et modélisation (4)
GIGA‐R - Giga‐Research - ULiège [BE] (2)
systems and modelling (2)
Systems and Modeling research unit (1)
Main Referenced Disciplines
Computer science (16)
Electrical & electronics engineering (3)
Gastroenterology & hepatology (1)

Publications (total 17)

The most downloaded
463 downloads
Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In 20th European Symposium on Artificial Neural Networks. https://hdl.handle.net/2268/112824

The most cited

175 citations (Scopus®)

Schnitzler, F., Fidder, H., Boukerroucha, M., Ballet, V., Noman, M., Van Assche, G., Spitz, B., Hoffman, I., Van Steen, K., Vermeire, S., & Rutgeerts, P. (2011). Outcome of pregnancy in women with inflammatory bowel disease treated with antitumor necrosis factor therapy. Inflammatory Bowel Diseases, 17 (9), 1846-1854. doi:10.1002/ibd.21583 https://hdl.handle.net/2268/88799

Schnitzler, F. (2012). Mixtures of Tree-Structured Probabilistic Graphical Models for Density Estimation in High Dimensional Spaces [Doctoral thesis, Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/314952

Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). Mixtures of Bagged Markov Tree Ensembles. In A. Cano Utrera, M. Gómez-Olmedo, ... T. Nielsen (Eds.), Proceedings of the 6th European Workshop on Probabilistic Graphical Models (pp. 283-290).
Peer reviewed

Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In Proceeding of the 21st Belgian-Dutch Conference on Machine Learning.

Schnitzler, F., Ammar, S., Leray, P., Geurts, P., & Wehenkel, L. (2012). Approximation efficace de mélanges bootstrap d’arbres de Markov pour l’estimation de densité. In L. Bougrain (Ed.), Actes de la 14e Conférence Francophone sur l'Apprentissage Automatique (CAp 2012) (pp. 207-222).
Peer reviewed

Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In 20th European Symposium on Artificial Neural Networks.
Peer reviewed

Schnitzler, F. (07 December 2011). Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation [Paper presentation]. BENE@work.

Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (29 November 2011). Pruning randomized trees with L1-norm regularization [Poster presentation]. DYSCO Study Day, Leuven-Heverlee, Belgium.

Schnitzler, F., ammar, S., leray, P., Geurts, P., & Wehenkel, L. (2011). Efficiently approximating Markov tree bagging for high-dimensional density estimation. In D. Gunopulos, T. Hofmann, D. Malerba, ... M. Vazirgiannis (Eds.), Machine Learning and Knowledge Discovery in Databases, Part III (pp. 113-128). Berlin, Heidelberg, Germany: Springer-Verlag. doi:10.1007/978-3-642-23808-6_8
Peer reviewed

Schnitzler, F., & Wehenkel, L. (29 June 2011). Two-level Mixtures of Markov Trees [Poster presentation]. The 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Belfast, Ireland.

Schnitzler, F., Geurts, P., & Wehenkel, L. (21 March 2011). Looking for applications of mixtures of Markov trees in bioinformatics [Paper presentation]. BioMAGNet Annual Meeting 2011, Bruxelles, Belgium.

Rachelson, E., Schnitzler, F., Wehenkel, L., & Ernst, D. (2011). Optimal sample selection for batch-mode reinforcement learning. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011).
Peer reviewed

Schnitzler, F., Fidder, H., Boukerroucha, M., Ballet, V., Noman, M., Van Assche, G., Spitz, B., Hoffman, I., Van Steen, K., Vermeire, S., & Rutgeerts, P. (2011). Outcome of pregnancy in women with inflammatory bowel disease treated with antitumor necrosis factor therapy. Inflammatory Bowel Diseases, 17 (9), 1846-1854. doi:10.1002/ibd.21583
Peer Reviewed verified by ORBi

Schnitzler, F. (06 October 2010). Discussing the validation of high-dimensional probability distribution learning with mixtures of graphical models for inference [Poster presentation]. Validation in Statistics and Machine Learning, Berlin, Germany.

Ammar, S., Leray, P., Schnitzler, F., & Wehenkel, L. (2010). Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm. In P. Myllymäki, A. Roos, ... T. Jaakkola (Eds.), Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010) (pp. 17-24).
Peer reviewed

Schnitzler, F., Leray, P., & Wehenkel, L. (10 May 2010). Vers un apprentissage subquadratique pour les mélanges d’arbres [Paper presentation]. 5èmes Journées Francophones sur les Réseaux Bayésiens, Nantes, France.

Schnitzler, F., Leray, P., & Wehenkel, L. (2010). Towards sub-quadratic learning of probability density models in the form of mixtures of trees [Paper presentation]. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium.
Peer reviewed

Schnitzler, F., & Wehenkel, L. (2009). Constraint Based Learning of Mixtures of Trees [Paper presentation]. Probabilistic graphical models for integration of complex data and discovery of causal models in biology, Nantes, France.

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