| Fast and Accurate CNN‐based Brushing in Scatterplots C Fan, H Hauser Computer Graphics Forum (Eurovis 2018) 37 (3), 111-120, 2018 | 33 | 2018 |
| Sketch-based fast and accurate querying of time series using parameter-sharing LSTM networks C Fan, K Matković, H Hauser IEEE Transactions on Visualization and Computer Graphics 27 (12), 4495-4506, 2020 | 13 | 2020 |
| Forecast verification and visualization based on Gaussian mixture model co‐estimation YH Wang, CR Fan, J Zhang, T Niu, S Zhang, JR Jiang Computer graphics forum 34 (6), 99-110, 2015 | 13 | 2015 |
| Personalized sketch-based brushing in scatterplots C Fan, H Hauser IEEE computer graphics and applications 39 (4), 28-39, 2019 | 8 | 2019 |
| On KDE-based brushing in scatterplots and how it compares to CNN-based brushing C Fan, H Hauser Machine Learning Methods in Visualisation for Big Data 2019, 2019 | 6 | 2019 |
| User-study based optimization of fast and accurate Mahalanobis brushing in scatterplots C Fan, H Hauser Proceedings of the conference on Vision, Modeling and Visualization, 77-84, 2017 | 6 | 2017 |
| On sketch-based selections from scatterplots using KDE, compared to Mahalanobis and CNN brushing C Fan, H Hauser IEEE Computer Graphics and Applications 41 (5), 67-78, 2021 | 1 | 2021 |
| Improving Interaction in Visual Analytics using Machine Learning C Fan The University of Bergen, 2021 | | 2021 |
