Maissae Haddouchi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Forest-ORE: Mining an optimal rule ensemble to interpret random forest models	2025	Maissae Haddouchi Abdelaziz Berrado
+ PDF Chat	A survey and taxonomy of methods interpreting random forest models	2024	Maissae Haddouchi Abdelaziz Berrado
+ PDF Chat	Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models	2024	Maissae Haddouchi Abdelaziz Berrado

Common Coauthors

Coauthor	Papers Together
Abdelaziz Berrado	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Proceedings of the 24th international conference on Machine learning	2007	John Langford Joëlle Pineau	1
+	ggRandomForests: Visually Exploring a Random Forest for Regression	2015	John Ehrlinger	1
+	Predictive learning via rule ensembles	2008	Jerome H. Friedman Bogdan Popescu	1
+ PDF Chat	A random forest guided tour	2016	Gérard Biau Erwan Scornet	1
+	Forest Floor Visualizations of Random Forests	2016	Soeren H. Welling Hanne H. F. Refsgaard Per B. Brockhoff Line Katrine Harder Clemmensen	1
+ PDF Chat	European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”	2017	Bryce Goodman Seth Flaxman	1
+ PDF Chat	A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment	2016	Jianguo Chen Kenli Li Zhuo Tang Kashif Bilal Shui Yu Chuliang Weng Keqin Li	1
+	Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable	2016	Sarah Tan Matvey Soloviev Giles Hooker Martin T. Wells	1
+	Should we really use post-hoc tests based on mean-ranks?	2015	Alessio Benavoli Giorgio Corani Francesca Mangili	1
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	1
+ PDF Chat	Interpreting tree ensembles with inTrees	2018	Houtao Deng	1
+ PDF Chat	SIRUS: Stable and Interpretable RUle Set for classification	2021	Clément Bénard Gérard Biau Sébastien da Veiga Erwan Scornet	1
+ PDF Chat	Conclusive local interpretation rules for random forests	2022	Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas	1
+	Discovering Classification Rules for Interpretable Learning with Linear Programming.	2021	M. Hakan Akyüz Ş. İlker Birbil	1
+ PDF Chat	A survey and taxonomy of methods interpreting random forest models	2024	Maissae Haddouchi Abdelaziz Berrado	1