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Bo Kang
Bo Kang
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Title
Cited by
Cited by
Year
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
762013
Conditional network embeddings
B Kang, J Lijffijt, T De Bie
International Conference on Learning Representations (ICLR), 2019
562019
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
322021
Explaine: An approach for explaining network embedding-based link predictions
B Kang, J Lijffijt, T De Bie
arXiv preprint arXiv:1904.12694, 2019
232019
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
202020
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
182022
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
172018
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
172016
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
152016
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
142016
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
112023
Informative data projections: a framework and two examples
T De Bie, J Lijffijt, R Santos-Rodriguez, B Kang
arXiv preprint arXiv:1511.08762, 2015
102015
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
92016
SICA: subjectively interesting component analysis
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Data Mining and Knowledge Discovery 32, 949-987, 2018
82018
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
72022
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
72020
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
62022
Topologically regularized data embeddings
R Vandaele, B Kang, J Lijffijt, T De Bie, Y Saeys
arXiv preprint arXiv:2110.09193, 2021
62021
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
62021
ALPINE: active link prediction using network embedding
X Chen, B Kang, J Lijffijt, T De Bie
Applied Sciences 11 (11), 5043, 2021
62021
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Articles 1–20