Bo Kang, Jefrey Lijffijt, and Tijl De Bie. Conditional Network Embeddings. Under review. Manuscript posted at https://arxiv.org/abs/1805.07544
Category: Publications
Quantifying and minimizing risk of conflict in social networks
Xi Chen, Jefrey Lijffijt, and Tijl De Bie. Quantifying and Minimizing Risk of Conflict in Social Networks. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data[ . . . ]
Mining Subjectively Interesting Attributed Subgraphs
Anes Bendimerad*, Ahmad Mel*, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie. “Mining Subjectively Interesting Attributed Subgraphs.” Under review, 2018. (*equal contributors)
SICA: Subjectively Interesting Component Analysis
Bo Kang, Jefrey Lijffijt, Raul Santos Rodriguez, Tijl De Bie. “SICA: Subjectively Interesting Component Analysis.” Volume 32, Issue 4, pp 949–987, July 2018. (springer)
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach
A short version of our paper “Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach” is to appear at the IEEE International Conference on Data Engineering (ICDE) 2018. A[ . . . ]
From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths
Adriaens, Florian, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, and Polina Rozenshtein. “From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths.” arXiv preprint arXiv:1802.03549 (2018).
Clipped Projections for More Informative Visualizations
Bo Kang, Junning Deng, Jefrey Lijffijt and Tijl De Bie. Clipped Projections for More Informative Visualizations. In Proceedings of the KDD 2017 Workshop on Interactive Data Exploration and Analytics (IDEA),[ . . . ]
Subjectively interesting connecting trees
Florian Adriaens, Jefrey Lijffijt, and Tijl De Bie. Subjectively interesting connecting trees. In Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases[ . . . ]
SIDE: A Web App for Interactive Visual Data Exploration with Subjective Feedback
Jefrey Lijffijt, Bo Kang, Kai Puolamäki, Tijl De Bie. SIDE: A Web App for Interactive Visual Data Exploration with Subjective Feedback. Proceedings of the ACM SIGKDD Workshop on Interactive Data[ . . . ]
Direct Mining of Subjectively Interesting Relational Patterns
Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie. Direct Mining of Subjectively Interesting Relational Patterns. Proceedings of the IEEE International Conference on Data Mining (ICDM’16), 2016. (pdf)