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Maryam Sabzevari
Maryam Sabzevari
Nokia Bell Labs
Verified email at nokia-bell-labs.com
Title
Cited by
Cited by
Year
Vote-boosting ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
Pattern Recognition 83, 119-133, 2018
552018
A two-stage ensemble method for the detection of class-label noise
M Sabzevari, G Martínez-Muñoz, A Suárez
Neurocomputing 275, 2374-2383, 2018
422018
Building heterogeneous ensembles by pooling homogeneous ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
International Journal of Machine Learning and Cybernetics, 2021
172021
Improving the Robustness of Bagging with Reduced Sampling Size.
M Sabzevari, G Martínez-Muñoz, A Suárez
ESANN, 2014
122014
A fast and accurate facial expression synthesis system for color face images using face graph and deep belief network
M Sabzevari, S Toosizadeh, SR Quchani, V Abrishami
2010 International Conference on Electronics and Information Engineering 2 …, 2010
122010
Strain design optimization using reinforcement learning
M Sabzevari, S Szedmak, M Penttilä, P Jouhten, J Rousu
PLOS COMPUTATIONAL BIOLOGY 18, 1-18, 2022
102022
Small margin ensembles can be robust to class-label noise
M Sabzevari, G Martinez-Munoz, A Suárez
Neurocomputing 160, 18-33, 2015
102015
Ensemble learning in the presence of noise
M Sabzevari
52019
Randomization vs optimization in svm ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
42018
Pooling homogeneous ensembles to build heterogeneous ones
M Sabzevari, G Martínez-Muñoz, A Suárez
arXiv preprint arXiv:1802.07877, 2018
22018
A fuzzy based Hopfield network for partitional clustering
V Abrishami, GT Tabrizi, H Deldari, M Sabzevari
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems, 1-5, 2010
12010
Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles (International Journal of Machine Learning and Cybernetics,(2021), 10.1007/s13042-021-01442-1)
M Sabzevari, G Martínez-Muñoz, A Suárez
2022
Correction to
M Sabzevari, G Martínez-Muñoz, A Suárez
Springer Science+ Business Media, 2022
2022
A New Approach for Partitional Clustering Using Entropy Notation and Hopfield Network
V Abrishami, M Sabzevari, M Yaghobi
International Conference on Innovative Techniques and Applications of …, 2010
2010
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Articles 1–14