| One click mining: Interactive local pattern discovery through implicit preference and performance learning M Boley, M Mampaey, B Kang, P Tokmakov, S Wrobel Proceedings of the ACM SIGKDD workshop on interactive data exploration and …, 2013 | 75 | 2013 |
| Conditional network embeddings B Kang, J Lijffijt, T De Bie International Conference on Learning Representations (ICLR), 2019 | 52 | 2019 |
| Conditional t-SNE: more informative t-SNE embeddings B Kang, D Garcia Garcia, J Lijffijt, R Santos-Rodríguez, T De Bie Machine Learning 110, 2905-2940, 2021 | 22 | 2021 |
| Explaine: An approach for explaining network embedding-based link predictions B Kang, J Lijffijt, T De Bie arXiv preprint arXiv:1904.12694, 2019 | 22 | 2019 |
| Interactive visual data exploration with subjective feedback: an information-theoretic approach K Puolamäki, E Oikarinen, B Kang, J Lijffijt, T De Bie Data Mining and Knowledge Discovery 34 (1), 21-49, 2020 | 19 | 2020 |
| Subjectively interesting subgroup discovery on real-valued targets J Lijffijt, B Kang, W Duivesteijn, K Puolamaki, E Oikarinen, T De Bie 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1352-1355, 2018 | 17 | 2018 |
| Pn-rminer: a generic framework for mining interesting structured relational patterns J Lijffijt, E Spyropoulou, B Kang, T De Bie International Journal of Data Science and Analytics 1, 61-76, 2016 | 17 | 2016 |
| Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016 | 15 | 2016 |
| Relation-guided acoustic scene classification aided with event embeddings Y Hou, B Kang, W Van Hauwermeiren, D Botteldooren 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 14 | 2022 |
| Interactive visual data exploration with subjective feedback K Puolamäki, B Kang, J Lijffijt, T De Bie Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 14 | 2016 |
| Informative data projections: a framework and two examples T De Bie, J Lijffijt, R Santos-Rodriguez, B Kang arXiv preprint arXiv:1511.08762, 2015 | 10 | 2015 |
| A tool for subjective and interactive visual data exploration B Kang, K Puolamäki, J Lijffijt, T De Bie Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 9 | 2016 |
| Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach∗ J Deng, B Kang, J Lijffijt, T De Bie Proceedings of the 2020 SIAM International Conference on Data Mining, 586-594, 2020 | 7 | 2020 |
| SICA: subjectively interesting component analysis B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie Data Mining and Knowledge Discovery 32, 949-987, 2018 | 7 | 2018 |
| ALPINE: Active link prediction using network embedding X Chen, B Kang, J Lijffijt, T De Bie Applied Sciences 11 (11), 5043, 2021 | 6 | 2021 |
| A constrained randomization approach to interactive visual data exploration with subjective feedback B Kang, K Puolamäki, J Lijffijt, T De Bie IEEE Transactions on Knowledge and Data Engineering 32 (9), 1666-1679, 2019 | 5 | 2019 |
| SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model N Li, B Kang, T De Bie arXiv preprint arXiv:2304.11060, 2023 | 4 | 2023 |
| A challenge-based survey of e-recruitment recommendation systems Y Mashayekhi, N Li, B Kang, J Lijffijt, T De Bie arXiv preprint arXiv:2209.05112, 2022 | 4 | 2022 |
| The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? R Vandaele, B Kang, T De Bie, Y Saeys International Conference on Artificial Intelligence and Statistics, 2158-2172, 2022 | 4 | 2022 |
| CT-SAT: Contextual transformer for sequential audio tagging Y Hou, Z Liu, B Kang, Y Wang, D Botteldooren arXiv preprint arXiv:2203.11573, 2022 | 4 | 2022 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
