Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning-Reference-Cited by-同舟云学术

Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning

Published:2019 Issue: Volume: Page:549-557
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Akrout Mohamed,Farahmand Amir-massoud,Jarmain Tory,Abid Latif

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32251-9_60

Reference11 articles.

1. Akrout, M., Farahmand, A.M., Jarmain, T.: Improving skin condition classification with a question answering model. In: Medical Imaging Meets NeurIPS Workshop (2018). https://arxiv.org/abs/1811.06165

2. Chali, Y., Hasan, S.A., Mojahid, M.: A reinforcement learning formulation to the complex question answering problem. Inf. Process. Manage. 51(3), 252–272 (2015)

3. Choi, E., Bahadori, M.T., Schuetz, A., Stewart, W.F., Sun, J.: Doctor AI: predicting clinical events via recurrent neural networks. In: Machine Learning for Healthcare Conference, pp. 301–318 (2016)

4. Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529 (2015)

5. Nogueira, R., Cho, K.: Task-oriented query reformulation with reinforcement learning. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, September 2017, pp. 574–583. Association for Computational Linguistics (2017)

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