References of "Du, Manxing 50009643"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailTime Series Modeling of Market Price in Real-Time Bidding
Du, Manxing UL; Hammerschmidt, Christian UL; Varisteas, Georgios UL et al

in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2019, April)

Real-Time-Bidding (RTB) is one of the most popular online advertisement selling mechanisms. Modeling the highly dynamic bidding environment is crucial for making good bids. Market prices of auctions ... [more ▼]

Real-Time-Bidding (RTB) is one of the most popular online advertisement selling mechanisms. Modeling the highly dynamic bidding environment is crucial for making good bids. Market prices of auctions fluctuate heavily within short time spans. State-of-the-art methods neglect the temporal dependencies of bidders’ behaviors. In this paper, the bid requests are aggregated by time and the mean market price per aggregated segment is modeled as a time series. We show that the Long Short Term Memory (LSTM) neural network outperforms the state-of-the-art univariate time series models by capturing the nonlinear temporal dependencies in the market price. We further improve the predicting performance by adding a summary of exogenous features from bid requests. [less ▲]

Detailed reference viewed: 57 (2 UL)
Full Text
Peer Reviewed
See detailImproving Real-Time Bidding Using a Constrained Markov Decision Process
Du, Manxing UL; Sassioui, Redouane UL; Varisteas, Georgios UL et al

in Proceedings of the 13th International Conference on Advanced Data Mining and Applications (2017, November)

Detailed reference viewed: 204 (16 UL)
Full Text
Peer Reviewed
See detailThe Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Glauner, Patrick UL; Du, Manxing UL; Paraschiv, Victor et al

in Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017) (2017)

Which topics of machine learning are most commonly addressed in research? This question was initially answered in 2007 by doing a qualitative survey among distinguished researchers. In our study, we ... [more ▼]

Which topics of machine learning are most commonly addressed in research? This question was initially answered in 2007 by doing a qualitative survey among distinguished researchers. In our study, we revisit this question from a quantitative perspective. Concretely, we collect 54K abstracts of papers published between 2007 and 2016 in leading machine learning journals and conferences. We then use machine learning in order to determine the top 10 topics in machine learning. We not only include models, but provide a holistic view across optimization, data, features, etc. This quantitative approach allows reducing the bias of surveys. It reveals new and up-to-date insights into what the 10 most prolific topics in machine learning research are. This allows researchers to identify popular topics as well as new and rising topics for their research. [less ▲]

Detailed reference viewed: 160 (23 UL)
Full Text
Peer Reviewed
See detailBehavior Profiling for Mobile Advertising
Du, Manxing UL; State, Radu UL; Brorsson, Mats et al

in Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (2016, December)

Detailed reference viewed: 124 (18 UL)