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

License

scikit-multimodallearn is free software: you can redistribute it and/or modify it under the terms of the New BSD License