| 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 | 77 | 2013 |
| Conditional network embeddings B Kang, J Lijffijt, T De Bie International Conference on Learning Representations (ICLR), 2019 | 59 | 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 | 40 | 2021 |
| Explaine: An approach for explaining network embedding-based link predictions B Kang, J Lijffijt, T De Bie arXiv preprint arXiv:1904.12694, 2019 | 27 | 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 | 21 | 2023 |
| 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 | 21 | 2020 |
| 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 | 18 | 2022 |
| 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 | 16 | 2016 |
| 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 | 16 | 2016 |
| A challenge-based survey of e-recruitment recommendation systems Y Mashayekhi, N Li, B Kang, J Lijffijt, T De Bie ACM Computing Surveys 56 (10), 1-33, 2024 | 15 | 2024 |
| 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 |
| Topologically regularized data embeddings R Vandaele, B Kang, J Lijffijt, T De Bie, Y Saeys arXiv preprint arXiv:2110.09193, 2021 | 9 | 2021 |
| 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 |
| Explanations for network embedding-based link predictions B Kang, J Lijffijt, T De Bie Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 8 | 2021 |
| SICA: subjectively interesting component analysis B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie Data Mining and Knowledge Discovery 32, 949-987, 2018 | 8 | 2018 |
| Cooperative scene-event modelling for acoustic scene classification Y Hou, B Kang, A Mitchell, W Wang, J Kang, D Botteldooren IEEE/ACM transactions on audio, speech, and language processing, 2023 | 7 | 2023 |
| ReCon: Reducing Congestion in Job Recommendation using Optimal Transport Y Mashayekhi, B Kang, J Lijffijt, T De Bie Proceedings of the 17th ACM Conference on Recommender Systems, 696-701, 2023 | 7 | 2023 |
| 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 | 7 | 2022 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
