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ORCIDSofie De Cnudde
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Journal Articles
- 2020
[j5]Sofie De Cnudde, David Martens, Theodoros Evgeniou, Foster J. Provost:
A benchmarking study of classification techniques for behavioral data. Int. J. Data Sci. Anal. 9(2): 131-173 (2020)- 2019
- [j4]Sofie De Cnudde, Yanou Ramon
, David Martens, Foster J. Provost:
Deep Learning on Big, Sparse, Behavioral Data. Big Data 7(4): 286-307 (2019) - [j3]Sofie De Cnudde, Julie Moeyersoms, Marija Stankova, Ellen Tobback, Vinayak Javaly, David Martens:
What does your Facebook profile reveal about your creditworthiness? Using alternative data for microfinance. J. Oper. Res. Soc. 70(3): 353-363 (2019) - 2015
- [j2]Sofie De Cnudde, David Martens:
Loyal to your city? A data mining analysis of a public service loyalty program. Decis. Support Syst. 73: 74-84 (2015) - 2014
- [j1]Sofie De Cnudde, Jan Claes, Geert Poels:
Improving the quality of the Heuristics Miner in ProM 6.2. Expert Syst. Appl. 41(17): 7678-7690 (2014)
Conference and Workshop Papers
- 2019
- [c1]Kallirroi Dogani, Matteo Tomassetti, Saúl Vargas, Benjamin Paul Chamberlain, Sofie De Cnudde:
Learning Embeddings for Product Size Recommendations. eCOM@SIGIR 2019
Informal and Other Publications
- 2023
- [i1]Jamie McGowan, Elizabeth Guest, Ziyang Yan, Cong Zheng, Neha Patel, Mason Cusack, Charlie Donaldson, Sofie De Cnudde, Gabriel Facini, Fabon Dzogang:
A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail. CoRR abs/2302.14096 (2023)
Coauthor Index
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