Evaluation of Interactive Machine Learning Systems
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-90403-0_17
Reference50 articles.
1. Amershi, S., Fogarty, J., Weld, D.: Regroup: interactive machine learning for on-demand group creation in social networks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’12, pp. 21–30. ACM, New York, NY, USA (2012)
2. Azuan, N., Embury, S., Paton, N.: Observing the data scientist: Using manual corrections as implicit feedback. In: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA’17, pp. 13:1–13:6. ACM, New York, NY, USA (2017)
3. Bach, B., Spritzer, A., Lutton, E., Fekete, J.D.: Interactive random graph generation with evolutionary algorithms. In: Graph Drawing. Lecture Notes in Computer Science. Springer, Berlin (2012)
4. Banzhaf, W.: Handbook of Evolutionary Computation. Oxford University Press, Oxford (1997)
5. Behrisch, M., Korkmaz, F., Shao, L., Schreck, T.: Feedback-driven interactive exploration of large multidimensional data supported by visual classifier. In: 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 43–52 (2014)
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