UMR CNRS 7253

Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux

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en:publi:befief_conf

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en:publi:befief_conf [2019/07/07 18:01]
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en:publi:befief_conf [2019/12/16 11:00] (current)
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 ====== Belief Functions and Pattern Recognition ====== ====== Belief Functions and Pattern Recognition ======
 +  - Zheng Tong, Philippe Xu, and Thierry ​ Denoeux. ConvNet and Dempster-Shafer Theory for Object Recognition. In N. Ben Amor, B. Quost and M. Theobald (Eds), Scalable Uncertainty Management, Springer International Publishing, Cham, pages 368-381, 2019. {{ :​en:​publi:​r3_zheng_sum2019_convnet_bf_classifier.pdf |pdf}}
   - T. Denoeux and P. Shenoy. An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. International Symposium on Imprecise Probabilities:​ Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:​145–155,​ 2019. {{ :​en:​publi:​denoeux19.pdf |pdf}}   - T. Denoeux and P. Shenoy. An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. International Symposium on Imprecise Probabilities:​ Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:​145–155,​ 2019. {{ :​en:​publi:​denoeux19.pdf |pdf}}
   - L. Ma and T. Denoeux. Making Set-valued Predictions in Evidential Classification:​ A Comparison of Different Approaches. International Symposium on Imprecise Probabilities:​ Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:​276–285,​ 2019. {{ :​en:​publi:​ma19.pdf |pdf}} ​   - L. Ma and T. Denoeux. Making Set-valued Predictions in Evidential Classification:​ A Comparison of Different Approaches. International Symposium on Imprecise Probabilities:​ Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:​276–285,​ 2019. {{ :​en:​publi:​ma19.pdf |pdf}} ​

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