| 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 | 72 | 2013 |
| Conditional network embeddings B Kang, J Lijffijt, T De Bie International Conference on Learning Representations (ICLR), 2019 | 45 | 2019 |
| Explaine: An approach for explaining network embedding-based link predictions B Kang, J Lijffijt, T De Bie arXiv preprint arXiv:1904.12694, 2019 | 20 | 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 | 18 | 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 | 16 | 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 | 16 | 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 |
| Conditional t-SNE: more informative t-SNE embeddings B Kang, D García García, J Lijffijt, R Santos-Rodríguez, T De Bie Machine Learning 110, 2905-2940, 2021 | 14 | 2021 |
| 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 |
| 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 |
| 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 | 5 | 2020 |
| 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 |
| 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 | 4 | 2022 |
| Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information B Kang, DG García, J Lijffijt, R Santos-Rodríguez, T De Bie Machine Learning, 2019 | 4 | 2019 |
| Creedo—scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies M Boley, M Krause-Traudes, B Kang, B Jacobs KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA’15 …, 2015 | 4 | 2015 |
| Quantifying and reducing imbalance in networks Y Mashayekhi, B Kang, J Lijffijt, T De Bie RECSYS IN HR 2021 2967, 2021 | 3 | 2021 |
| Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion Y Hou, B Kang, D Botteldooren 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 2 | 2022 |
Tijl De BieFull Professor, Ghent UniversityGeverifieerd e-mailadres voor ugent.be
