| A Survey of Methods and Input Data Types for House Price Prediction M Geerts, S vanden Broucke, J De Weerdt ISPRS International Journal of Geo-Information 12 (5), 200, 2023 | 18 | 2023 |
| GeoRF: a geospatial random forest M Geerts, S vanden Broucke, J De Weerdt Data Mining and Knowledge Discovery, 1-35, 2024 | 3 | 2024 |
| An Evolutionary Geospatial Regression Tree M Geerts, S vanden Broucke, J De Weerdt Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning …, 2023 | 3 | 2023 |
| Graph neural networks for house price prediction: do or don’t? M Geerts, S vanden Broucke, J De Weerdt International Journal of Data Science and Analytics, 1-31, 2024 | | 2024 |
| A Spatial Loss Function for Gradient Boosted Trees M Geerts, S vanden Broucke, J De Weerdt CEUR Workshop Proceedings, 2024 | | 2024 |
| Predicting the State of a House Using Google Street View: An Analysis of Deep Binary Classification Models for the Assessment of the Quality of Flemish Houses M Geerts, K Shaikh, J De Weerdt, S vanden Broucke International Conference on Research Challenges in Information Science, 703-710, 2022 | | 2022 |
| A Survey of Methods and Input Data Types for House Price Prediction: Literature list M GEERTS, J DE WEERDT, S VANDEN BROUCKE KU Leuven RDR, 2022 | | 2022 |
