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ORCIDJournal of Data Science, Statistics, and Visualisation, Volume 4
Volume 4, Number 1, February 2024
- Alan Inglis
, Andrew Parnell, Catherine Hurley:
Visualisations for Bayesian Additive Regression Trees.
Volume 4, Number 2, 2024
- Ying Chen, Patrick J. F. Groenen, Kwan-Liu Ma, Stefan Van Aelst:
Editorial.
Volume 4, Number 3, 2024
- Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen:
Visual Interactive Parameter Selection for Temporal Blind Source Separation. - Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere:
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. - Dennis Dingen, Marcel van 't Veer, Tom H. G. F. Bakkes, Erik Korsten, R. Arthur Bouwman, Jarke J. van Wijk:
RoA: visual analytics support for deconfounded causal inference in observational studies. - Jean-Pierre Stander, Inger Fabris-Rotelli, Theodor Loots, Johan Magnus van Niekerk, Alfred Stein:
An edge preserving median filter for images based on level-sets. - Vasilis Chasiotis, Dimitris Karlis:
Subdata selection for big data regression: an improved approach.
Volume 4, Number 4, 2024
- Giulia Marchello, Alexandre Destere, Marco Corneli, Charles Bouveyron:
Deep dynamic co-clustering of count data streams: application to pharmacovigilance.
Volume 4, Number 5, 2024
- Yasser Abbas, Abdelaati Daouia:
Understanding world economy dynamics based on indicators and events.
Volume 4, Number 6, 2024
- Alessandro Albano, Irene carola Spera, Mariangela Sciandra, Antonella Plaia:
Measuring emotions to classify songs: The impact of the COVID-19 pandemic on music streaming data.
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