TSFuse: automated feature construction for multiple time series data.

Autor: De Brabandere, Arne, Op De Beéck, Tim, Hendrickx, Kilian, Meert, Wannes, Davis, Jesse

Publikováno v: Machine Learning; Aug2024, Vol. 113 Issue 8, p5001-5056, 56p

Automating Feature Construction for Multi-View Time Series Data

Autor: De Brabandere, Arne, Robberechts, Pieter, Op De Beéck, Tim, Davis, Jesse

ispartof: pages:1-16 ispartof: ECMLPKDD Workshop on Automating Data Science pages:1-16 ispartof: ECMLPKDD Workshop on Automating Data Science location:Würzburg, Germany status: Published online

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1131::370934144f2c04cadde8e0f7a2fecdaf
https://lirias.kuleuven.be/handle/123456789/642733

Mining Hierarchical Pathology Data Using Inductive Logic Programming

Autor: Op De Beéck, Tim, Hommersom, Arjen, Van Haaren, Jan, van der Heijden, Maarten, Davis, Jesse, Lucas, Peter J. F., Overbeek, Lucy, Nagtegaal, Iris, Holmes, John H., Bellazzi, Riccardo, Sacchi, Lucia, Peek, Niels

Publikováno v: Artificial Intelligence in Medicine: 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings, 76-85
STARTPAGE=76;ENDPAGE=85;TITLE=Artificial Intelligence in Medicine
Op De Beéck, T, Hommersom, A, Van Haaren, J, van der Heijden, M, Davis, J, Lucas, P J F, Overbeek, L & Nagtegaal, I 2015, Mining Hierarchical Pathology Data Using Inductive Logic Programming . in J H Holmes, R Bellazzi, L Sacchi & N Peek (eds), Artificial Intelligence in Medicine : 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings . Springer International Publishing AG, Cham, pp. 76-85, 15th Conference on Artificial Intelligence in Medicine, Pavia, Italy, 17/06/15 . https://doi.org/10.1007/978-3-319-19551-3_9
Holmes, J.H.; Bellazzi, R.; Sacchi, L. (ed.), Artificial Intelligence in Medicine, pp. 76-85
Artificial Intelligence in Medicine ISBN: 9783319195506
AIME
Lecture Notes in Computer Science ; 9105, 76-85. Berlin : Springer International Publishing
STARTPAGE=76;ENDPAGE=85;TITLE=Lecture Notes in Computer Science ; 9105

Considerable amounts of data are continuously generated by pathologists in the form of pathology reports. To date, there has been relatively little work exploring how to apply machine learning and data mining techniques to these data in order to extr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47bdfd4565256e8d2c02788ddb047826
https://research.ou.nl/en/publications/0fba2d88-e126-4b25-ac59-3c2708451049

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