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Stiene Praet

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2020 – today

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2024
[j6]
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  - journals/ml/RamonMEP24
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  - https://dblp.org/rec/journals/ml/RamonMEP24
Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet:
Can metafeatures help improve explanations of prediction models when using behavioral and textual data? Mach. Learn. 113(7): 4245-4284 (2024)
2023
[j5]
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  - journals/osnm/PraetMA23
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Stiene Praet, David Martens, Peter Van Aelst:
Erratum to. Online Soc. Networks Media 34-35: 100246 (2023)
2021
[j4]
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  - journals/epjds/PraetAEVM21
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Stiene Praet, Peter Van Aelst, Patrick van Erkel, Stephan Van der Veeken, David Martens:
Predictive modeling to study lifestyle politics with Facebook likes. EPJ Data Sci. 10(1): 50 (2021)
[j3]
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Marija Stankova, Stiene Praet, David Martens, Foster J. Provost:
Node classification over bipartite graphs through projection. Mach. Learn. 110(1): 37-87 (2021)
[j2]
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Stiene Praet, David Martens, Peter Van Aelst:
Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries. Online Soc. Networks Media 24: 100154 (2021)
2020
[j1]
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  - journals/dsj/PraetM20
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Stiene Praet, David Martens:
Efficient Parcel Delivery by Predicting Customers' Locations. Decis. Sci. 51(5): 1202-1231 (2020)
[i1]
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  - journals/corr/abs-2003-04792
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Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet:
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. CoRR abs/2003.04792 (2020)

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