Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, and Tijl De Bie, Opinion Dynamics with Backfire Effect and Biased Assimilation, arXiv 1903.11535, 2019. (Paper available here)
Category: Technical reports
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information
Bo Kang, Darío García García, Jefrey Lijffijt, Raúl Santos-Rodríguez, and Tijl De Bie, Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information, arXiv 1905.10086, 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions
Bo Kang, Jefrey Lijffijt, and Tijl De Bie, ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions, arXiv 1904.12694, 2019
Conditional Network Embeddings
Bo Kang, Jefrey Lijffijt, and Tijl De Bie. Conditional Network Embeddings. Under review. Manuscript posted at https://arxiv.org/abs/1805.07544
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)
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).
Informative Data Projections: A Framework and Two Examples
Tijl De Bie, Jefrey Lijffijt, Raul Santos-Rodriguez, Bo Kang. Informative Data Projections: A Framework and Two Examples. Technical report, arXiv:1511.08762 [cs.LG], 2015. (arxiv, pdf)
Formalising the subjective interestingness of a linear projection of a data set: two examples
Tijl De Bie. Formalising the subjective interestingness of a linear projection of a data set: two examples. Proceedings of the ACM SIGKDD 2014 Full-day Workshop on Interactive Data Exploration and Analytics[ . . . ]