![]() ![]() | LAYIOS, N., Delierneux, C., Hego, A., HUART, J., GOSSET, C., LECUT, C., MAES, N., Geurts, P., Joly, A., LANCELLOTTI, P., Albert, A., DAMAS, P., GOTHOT, A., & Oury, C. (December 2017). Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study. Intensive Care Medicine Experimental, 5 (1), 32. doi:10.1186/s40635-017-0145-2 ![]() |
![]() ![]() | Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Ernst, D., & Geurts, P. (2017). Simple connectome inference from partial correlation statistics in calcium imaging. In J. Soriano, D. Battaglia, I. Guyon, V. Lemaire, J. Orlandi, ... B. Ray (Eds.), Neural Connectomics Challenge (pp. 23-36). Springer. doi:10.1007/978-3-319-53070-3 ![]() |
![]() ![]() | Joly, A. (2017). Exploiting random projections and sparsity with random forests and gradient boosting methods - Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/208000 |
![]() ![]() | Begon, J.-M., Joly, A., & Geurts, P. (2017). Globally Induced Forest: A Prepruning Compression Scheme. Proceedings of Machine Learning Research, 70, 420-428. ![]() |
![]() ![]() | Begon, J.-M., Joly, A., & Geurts, P. (12 September 2016). Joint learning and pruning of decision forests [Paper presentation]. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn), Kortrijk, Belgium. |
Delierneux, C., LAYIOS, N., Hego, A., HUART, J., Joly, A., Geurts, P., DAMAS, P., LECUT, C., GOTHOT, A., & Oury, C. (19 October 2015). Elevated basal levels of platelet-bound fibrinogen predict the occurrence of sepsis in ICU: a prospective study [Paper presentation]. Belgian Society on Thrombosis and Haemostasis (BSTH), Lamot, Belgium. |
Delierneux, C., LAYIOS, N., Hego, A., HUART, J., Joly, A., Geurts, P., DAMAS, P., LECUT, C., GOTHOT, A., & Oury, C. (23 June 2015). Prospective analysis of platelet activation markers to predict severe infection and mortality in intensive care units [Poster presentation]. XXV Congress of the International Society on Thrombosis and Haemostasis (ISTH), Toronto, Canada. |
![]() ![]() | LAYIOS, N., Delierneux, C., Hego, A., HUART, J., Joly, A., Geurts, P., DAMAS, P., LECUT, C., Gothot, A., & Oury, C. (2015). Erratum: Elevated basal levels of circulating activated platelets predict ICU-acquired sepsis and mortality: a prospective study. Critical Care, 19 (1), 301. doi:10.1186/s13054-015-1005-7 ![]() |
![]() ![]() | LAYIOS, N., GOSSET, C., Delierneux, C., Hego, A., HUART, J., Joly, A., Geurts, P., DAMAS, P., Oury, C., & Gothot, A. (2015). Erratum: Prospective immune profiling in critically ill adults: before, during and after severe sepsis and septic shock. Critical Care, 19 (1), 300. doi:10.1186/s13054-015-1006-6 ![]() |
![]() ![]() | Joly, A., Geurts, P., & Wehenkel, L. (2014). Random forests with random projections of the output space for high dimensional multi-label classification. In Machine Learning and Knowledge Discovery in Databases. doi:10.1007/978-3-662-44848-9_39 ![]() |
![]() ![]() | Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Louppe, G., Ernst, D., & Geurts, P. (2014). Simple connectome inference from partial correlation statistics in calcium imaging. In J. Soriano, D. Battaglia, I. Guyon, V. Lemaire, J. Orlandi, ... B. Ray (Eds.), Neural Connectomics Challenge. Springer. ![]() |
![]() ![]() | Joly, A., & Louppe, G. (27 January 2014). Scikit-Learn: Machine Learning in the Python ecosystem [Poster presentation]. GIGA DAY 2014, Liège, Belgium. |
![]() ![]() | Buitinck, L., Louppe, G., Blondel, M., Pedregosa, F. (Other coll.), Müller, A. (Other coll.), Grisel, O. (Other coll.), Niculae, V. (Other coll.), Prettenhofer, P. (Other coll.), Gramfort, A. (Other coll.), Grobler, J. (Other coll.), Layton, R. (Other coll.), Vanderplas, J. (Other coll.), Joly, A. (Other coll.), Holt, B. (Other coll.), & Varoquaux, G. (Other coll.). (23 September 2013). API design for machine learning software: experiences from the scikit-learn project [Paper presentation]. ECML/PKDD 2013 Workshop: Languages for Data Mining and Machine Learning, Prague, Czechia. |
![]() ![]() | 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. |
![]() ![]() | Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In 20th European Symposium on Artificial Neural Networks. ![]() |
![]() ![]() | 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. |
![]() ![]() | Joly, A. (2011). Improvement of randomized ensembles of trees for supervised learning in very high dimension [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/104369 |