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Tijl De Bie

Showing results (1-10 of 21) with videos related to

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The Lancet. Respiratory Medicine|December 15, 2024
Incorrect interpretation of the role of COVID-19 vaccination boosters in saving livesTijl De Bie
Machine Learning|April 3, 2026
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text ClassificationNan Li, Bo Kang, Tijl De Bie
Big Data|March 10, 2022
An Empirical Evaluation of Network Representation Learning MethodsAlexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Entropy (Basel, Switzerland)|December 3, 2020
SIMIT: Subjectively Interesting Motifs in Time SeriesJunning Deng, Jefrey Lijffijt, Bo Kang, et al.
Plos One|September 1, 2021
Opinion dynamics with backfire effect and biased assimilationXi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, et al.
Bioinformatics (Oxford, England)|March 18, 2006
CAFE: a computational tool for the study of gene family evolutionTijl De Bie, Nello Cristianini, Jeffery P Demuth, 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.
Bioinformatics (Oxford, England)|July 25, 2007
Kernel-based data fusion for gene prioritizationTijl De Bie, Léon-Charles Tranchevent, Liesbeth M M van Oeffelen, et al.
Genome Research|August 4, 2005
Estimating the tempo and mode of gene family evolution from comparative genomic dataMatthew W Hahn, Tijl De Bie, Jason E Stajich, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
The Lancet. Respiratory Medicine|December 15, 2024
Incorrect interpretation of the role of COVID-19 vaccination boosters in saving livesTijl De Bie
Machine Learning|April 3, 2026
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text ClassificationNan Li, Bo Kang, Tijl De Bie
Big Data|March 10, 2022
An Empirical Evaluation of Network Representation Learning MethodsAlexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Entropy (Basel, Switzerland)|December 3, 2020
SIMIT: Subjectively Interesting Motifs in Time SeriesJunning Deng, Jefrey Lijffijt, Bo Kang, et al.
Plos One|September 1, 2021
Opinion dynamics with backfire effect and biased assimilationXi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, et al.
Bioinformatics (Oxford, England)|March 18, 2006
CAFE: a computational tool for the study of gene family evolutionTijl De Bie, Nello Cristianini, Jeffery P Demuth, 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.
Bioinformatics (Oxford, England)|July 25, 2007
Kernel-based data fusion for gene prioritizationTijl De Bie, Léon-Charles Tranchevent, Liesbeth M M van Oeffelen, et al.
Genome Research|August 4, 2005
Estimating the tempo and mode of gene family evolution from comparative genomic dataMatthew W Hahn, Tijl De Bie, Jason E Stajich, et al.
Pageof 3