DU, M. (2019). Towards Optimal Real-Time Bidding Strategies for Display Advertising [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41311 |
DU, M., HAMMERSCHMIDT, C., VARISTEAS, G., STATE, R., BRORSSON, M. H., & Zhang, Z. (2019). Time Series Modeling of Market Price in Real-Time Bidding. In 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Peer reviewed |
DU, M., Cowen-Rivers, A. I., Wen, Y., Sakulwongtana, P., Wang, J., BRORSSON, M. H., & STATE, R. (2019). Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. In Proceedings of the 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019). Peer reviewed |
DU, M., SASSIOUI, R., VARISTEAS, G., STATE, R., Brorsson, M., & Cherkaoui, O. (2017). Improving Real-Time Bidding Using a Constrained Markov Decision Process. In Proceedings of the 13th International Conference on Advanced Data Mining and Applications (pp. 711-726). Springer. doi:10.1007/978-3-319-69179-4_50 Peer reviewed |
GLAUNER, P., DU, M., Paraschiv, V., BOYTSOV, A., Lopez Andrade, I., MEIRA, J. A., VALTCHEV, P., & STATE, R. (2017). The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. In Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017). Peer reviewed |
DU, M., STATE, R., Brorsson, M., & Avanesov, T. (2016). Behavior Profiling for Mobile Advertising. In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (pp. 302-307). ACM. doi:10.1145/3006299.3006339 Peer reviewed |