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Jefrey Lijffijt

Showing results (1-10 of 6) with videos related to

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Big Data|March 10, 2022
An Empirical Evaluation of Network Representation Learning MethodsAlexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Plos One|September 1, 2021
Opinion dynamics with backfire effect and biased assimilationXi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, et al.
Entropy (Basel, Switzerland)|December 3, 2020
SIMIT: Subjectively Interesting Motifs in Time SeriesJunning Deng, Jefrey Lijffijt, Bo Kang, et al.
IEEE Computer Graphics and Applications|June 7, 2022
Evaluating Representation Learning and Graph Layout Methods for VisualizationEdith Heiter, Bo Kang, Tijl De Bie, et al.
Machine Learning|November 29, 2021
Conditional t-SNE: more informative t-SNE embeddingsBo Kang, Darío García García, Jefrey Lijffijt, et al.
NPJ Artificial Intelligence|January 12, 2026
Large language models reflect the ideology of their creatorsMaarten Buyl, Alexander Rogiers, Sander Noels, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Big Data|March 10, 2022
An Empirical Evaluation of Network Representation Learning MethodsAlexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Plos One|September 1, 2021
Opinion dynamics with backfire effect and biased assimilationXi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, et al.
Entropy (Basel, Switzerland)|December 3, 2020
SIMIT: Subjectively Interesting Motifs in Time SeriesJunning Deng, Jefrey Lijffijt, Bo Kang, et al.
IEEE Computer Graphics and Applications|June 7, 2022
Evaluating Representation Learning and Graph Layout Methods for VisualizationEdith Heiter, Bo Kang, Tijl De Bie, et al.
Machine Learning|November 29, 2021
Conditional t-SNE: more informative t-SNE embeddingsBo Kang, Darío García García, Jefrey Lijffijt, et al.
NPJ Artificial Intelligence|January 12, 2026
Large language models reflect the ideology of their creatorsMaarten Buyl, Alexander Rogiers, Sander Noels, et al.
Pageof 1