Credits
scikit-multimodallearnt is developped by the development team of the LIS. supported by ANR Lives
If you use scikit-multimodallearn in a scientific publication, please cite the following paper:
@InProceedings{Koco:2011:BAM,
author={Ko\c{c}o, Sokol and Capponi, C{\'e}cile},
editor={Gunopulos, Dimitrios and Hofmann, Thomas and Malerba, Donato
and Vazirgiannis, Michalis},
title={A Boosting Approach to Multiview Classification with Cooperation},
booktitle={Proceedings of the 2011 European Conference on Machine Learning
and Knowledge Discovery in Databases - Volume Part II},
year={2011},
location={Athens, Greece},
publisher={Springer-Verlag},
address={Berlin, Heidelberg},
pages={209--228},
numpages = {20},
isbn={978-3-642-23783-6}
url={https://link.springer.com/chapter/10.1007/978-3-642-23783-6_14},
keywords={boosting, classification, multiview learning,
supervised learning},
}
@InProceedings{Huu:2019:BAMCC,
author={Huusari, Riika, Kadri Hachem and Capponi, C{\'e}cile},
editor={},
title={Multi-view Metric Learning in Vector-valued Kernel Spaces},
booktitle={arXiv:1803.07821v1},
year={2018},
location={Athens, Greece},
publisher={},
address={},
pages={209--228},
numpages = {12}
isbn={978-3-642-23783-6}
url={https://link.springer.com/chapter/10.1007/978-3-642-23783-6_14},
keywords={boosting, classification, multiview learning,
merric learning, vector-valued, kernel spaces},
}
References
Sokol Koço, Cécile Capponi, “Learning from Imbalanced Datasets with cross-view cooperation” Linking and mining heterogeneous an multi-view data, Unsupervised and semi-supervised learning Series Editor M. Emre Celeri, pp 161-182, Springer
Sokol Koço, Cécile Capponi, “A boosting approach to multiview classification with cooperation”, Proceedings of the 2011 European Conference on Machine Learning (ECML), Athens, Greece, pp.209-228, 2011, Springer-Verlag.
Sokol Koço, “Tackling the uneven views problem with cooperation based ensemble learning methods”, PhD Thesis, Aix-Marseille Université, 2013.
Riikka Huusari, Hachem Kadri and Cécile Capponi, “Multi-View Metric Learning in Vector-Valued Kernel Spaces” in International Conference on Artificial Intelligence and Statistics (AISTATS) 2018
Copyright
Université d’Aix Marseille (AMU) - Centre National de la Recherche Scientifique (CNRS) - Université de Toulon (UTLN).
Copyright © 2017-2018 AMU, CNRS, UTLN
License
scikit-multimodallearn is free software: you can redistribute it and/or modify it under the terms of the New BSD License