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Libo Li
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2020 – today
- 2024
- [j9]Libo Li:
Boosting Performance in Data Science Competition Using Topic-Driven Analytics: Evidence From Recommendation System Design on Kaggle. IEEE Trans. Engineering Management 71: 3016-3027 (2024) - 2022
- [j8]Pavel V. Gapeev, Libo Li:
Perpetual American Standard and Lookback Options with Event Risk and Asymmetric Information. SIAM J. Financial Math. 13(3): 773-801 (2022) - 2021
- [j7]Pavel V. Gapeev, Libo Li, Zhuoshu Wu:
Perpetual American Cancellable Standard Options in Models with Last Passage Times. Algorithms 14(1): 3 (2021) - [i2]Libo Li, Guanting Liu:
A positivity preserving numerical scheme for the mean-reverting alpha-CEV process. CoRR abs/2103.13002 (2021) - 2020
- [j6]Monique Jeanblanc, Libo Li:
Characteristics and Constructions of Default Times. SIAM J. Financial Math. 11(3): 720-749 (2020)
2010 – 2019
- 2019
- [i1]Libo Li, Stefan Lessmann, Bart Baesens:
Evaluating software defect prediction performance: an updated benchmarking study. CoRR abs/1901.01726 (2019) - 2018
- [j5]Libo Li:
Predicting online invitation responses with a competing risk model using privacy-friendly social event data. Eur. J. Oper. Res. 270(2): 698-708 (2018) - [j4]Monique Jeanblanc, Libo Li, Shiqi Song:
An enlargement of filtration formula with applications to multiple non-ordered default times. Finance Stochastics 22(1): 205-240 (2018) - 2017
- [j3]Libo Li, Frank Goethals, Bart Baesens, Monique Snoeck:
Predicting software revision outcomes on GitHub using structural holes theory. Comput. Networks 114: 114-124 (2017) - 2014
- [j2]Libo Li, Ken A. Dill, Christopher J. Fennell:
Testing the semi-explicit assembly model of aqueous solvation in the SAMPL4 challenge. J. Comput. Aided Mol. Des. 28(3): 259-264 (2014) - [c3]Gansen Zhao, Libo Li, Zijing Li, Qiaoying Lin:
Multiple Nested Schema of HBase for Migration from SQL. 3PGCIC 2014: 338-343 - [c2]Gansen Zhao, Qiaoying Lin, Libo Li, Zijing Li:
Schema Conversion Model of SQL Database to NoSQL. 3PGCIC 2014: 355-362 - 2013
- [c1]Libo Li, Frank Goethals, Antonio Giangreco, Bart Baesens:
Using social network data to predict technology acceptance. ICIS 2013
2000 – 2009
- 2009
- [j1]Libo Li, Shu-Hong He, Shu Li, Jie-Hong Xu, Li-Lin Rao:
A closer look at the Russian roulette problem: A re-examination of the nonlinearity of the prospect theory's decision weight pi. Int. J. Approx. Reason. 50(3): 515-520 (2009)
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last updated on 2024-04-24 22:53 CEST by the dblp team
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