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Matthias Bogaert
Matthias Bogaert
Ghent University and FlandersMake@UGent-CVAMO
Verified email at ugent.be - Homepage
Title
Cited by
Cited by
Year
Social media optimization: Identifying an optimal strategy for increasing network size on Facebook
M Ballings, D Van den Poel, M Bogaert
Omega 59, 15-25, 2016
432016
The added value of Facebook friends data in event attendance prediction
M Bogaert, M Ballings, D Van den Poel
Decision Support Systems 82, 26-34, 2016
352016
Evaluating multi-label classifiers and recommender systems in the financial service sector
M Bogaert, J Lootens, D Van den Poel, M Ballings
European Journal of Operational Research 279 (2), 620-634, 2019
282019
Evaluating the importance of different communication types in romantic tie prediction on social media
M Bogaert, M Ballings, D Van den Poel
Annals of Operations Research 263 (1), 501-527, 2018
172018
Identifying soccer players on Facebook through predictive analytics
M Bogaert, M Ballings, M Hosten, D Van den Poel
Decision Analysis 14 (4), 274-297, 2017
112017
Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data
L Schetgen, M Bogaert, D Van den Poel
Decision Support Systems 141, 113446, 2021
102021
Predicting Self‐declared movie watching behavior using Facebook data and Information‐Fusion sensitivity analysis
M Bogaert, M Ballings, R Bergmans, D Van den Poel
Decision Sciences 52 (3), 776-810, 2021
62021
Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms
M Bogaert, M Ballings, D Van den Poel, A Oztekin
Decision Support Systems 147, 113517, 2021
32021
B2Boost: Instance-dependent profit-driven modelling of B2B churn
B Janssens, M Bogaert, A Bagué, D Van den Poel
Annals of Operations Research, 1-27, 2022
22022
Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis
M Bogaert, M Ballings, R Bergmans, D Van den Poel
39th ISMS Marketing Science Conference, 2017
12017
Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents
B Janssens, M Bogaert, M Maton
Annals of Operations Research, 1-32, 2022
2022
Imputation of Non-participated Race Results
B Janssens, M Bogaert
International Workshop on Machine Learning and Data Mining for Sports …, 2022
2022
Evaluating the influence of Airbnb listings’ descriptions on demand
B Janssens, M Bogaert, D Van den Poel
International Journal of Hospitality Management 99, 103071, 2021
2021
Text mining customer experience with covid-19 events: A longitudinal and cross-industry analysis of the impact on customer well-being
L Schetgen, B Larivière, M Bogaert, D Van den Poel
Interactive Marketing Research Conference, Location: Fordham University (online), 2021
2021
Developing a detection and interpretation tool for rumors regarding COVID-19 on Twitter
L Schetgen, B Janssens, M Bogaert
31th European Conference on Operational Research (EURO 2021), 2021
2021
Imputation of non-participated race results
M Bogaert, B Janssens
8th Workshop on Machine Learning and Data Mining for Sports Analytics, 2021
2021
Which ethnic groups to contact first? Impacts of decision makers’ cultural backgrounds on innovation adoption in B2B settings
B Janssens, M Bogaert
31st European Conference on Operational Research, 2021
2021
Acquisition Modeling in the Nonprofit Sector based on Facebook Data
L Schetgen, M Bogaert, D Van den Poel
INFORMS 2019 Annual Meeting, 2019
2019
Harnessing the power of social media in predictive analytics
M Bogaert
Ghent University, 2018
2018
Evaluating the Importance of Different Communication Types in Tie Strength Prediction on Social Media
M Bogaert, M Ballings, D Van den Poel
INFORMS annual meeting 2016, 2016
2016
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