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Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.

K. Meddahi, S. Benkabou, A. Hadjali, A. Mesmoudi, D. Mansouri, K. Benabdeslem, and S. Chaib. WISE, volume 13724 of Lecture Notes in Computer Science, page 97-109. Springer, (2022)

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Yasmina Chaibi

Other publications of authors with the same name

An Informative Feature Selection Method Based on Sparse PCA for VHR Scene Classification.S. Chaib, Y. Gu, and H. Yao. IEEE Geosci. Remote. Sens. Lett., 13 (2): 147-151 (2016)A Hybrid Model Combining Learning Distance Metric and DAG Support Vector Machine for Multimodal Biometric Recognition.I. Omara, A. Hagag, S. Chaib, G. Ma, F. El-Samie, and E. Song. IEEE Access, (2021)Very High Resolution Image Scene Classification with Semantic Fisher Vectors.S. Chaib, Y. Gu, H. Yao, and K. Belkadi. IGARSS, page 6844-6847. IEEE, (2018)Transfer Learning for Changes Detection in Optical Remote Sensing Imagery.M. Larabi, S. Chaib, K. Bakhti, and M. Karoui. IGARSS, page 1582-1585. IEEE, (2019)Dual link distributed source coding scheme for the transmission of satellite hyperspectral imagery.A. Hagag, I. Omara, S. Chaib, G. Ma, and F. El-Samie. J. Vis. Commun. Image Represent., (2021)Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.K. Meddahi, S. Benkabou, A. Hadjali, A. Mesmoudi, D. Mansouri, K. Benabdeslem, and S. Chaib. WISE, volume 13724 of Lecture Notes in Computer Science, page 97-109. Springer, (2022)VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks Using Deep Reinforcement Learning.N. Aung, S. Dhelim, L. Chen, A. Lakas, W. Zhang, H. Ning, S. Chaib, and M. Kechadi. IEEE Trans. Intell. Transp. Syst., 24 (8): 8638-8649 (August 2023)Improvememt of multi-temporal vegetation modeling using hybrid deep neural networks of multispectral remote sensing images.K. Bakhti, K. Djerriri, M. Arabi, S. Chaib, and M. Karoui. IGARSS, page 1-4. IEEE, (2019)A VHR scene classification method integrating sparse PCA and saliency computing.S. Chaib, Y. Gu, H. Yao, and S. Zhao. IGARSS, page 2742-2745. IEEE, (2016)CoSP: co-selection pick for a global explainability of black box machine learning models.D. Mansouri, S. Benkabou, K. Meddahi, A. Hadjali, A. Mesmoudi, K. Benabdeslem, and S. Chaib. World Wide Web (WWW), 26 (6): 3965-3981 (November 2023)

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Disambiguation of "Chaib, Souleyman"

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Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.

Please choose a person to relate this publication to

Yasmina Chaibi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chaib, Souleyman"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.

Please choose a person to relate this publication to

Yasmina Chaibi

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.