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Joly Arnaud

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Main Referenced Co-authors
Geurts, Pierre  (13)
Damas, Pierre  (5)
Delierneux, Céline  (5)
Gothot, André  (5)
Hego, Alexandre  (5)
Main Referenced Keywords
Ensemble of randomized trees (4); LASSO (4); Pruning (4); Supervised learning (4); Decision tree (3);
Main Referenced Unit & Research Centers
GIGA‐R - Giga‐Research - ULiège [BE] (2)
Systems and Modeling Research Unit (2)
Systems and Modeling research unit (2)
System and modeling (1)
Système et modélisation (1)
Main Referenced Disciplines
Computer science (12)
Electrical & electronics engineering (4)
Hematology (4)
Immunology & infectious disease (1)

Publications (total 17)

The most downloaded
3616 downloads
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. https://hdl.handle.net/2268/154357

The most cited

24 citations (Scopus®)

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 https://hdl.handle.net/2268/212663

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
Peer Reviewed verified by ORBi

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
Peer reviewed

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.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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
Peer reviewed

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.
Peer reviewed

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.
Peer reviewed

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

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