E-LIB Suche - Ergebnisse für: Olier, I

1

Machine-learning applications for cataclysmic variable disc..:

Mistry, D ; Copperwheat, C M ; Darnley, M J.
Monthly Notices of the Royal Astronomical Society. 527 (2023) 3 - p. 8633-8658 , 2023

Link: https://doi.org/10.1093/..

2

Machine learning-based search for cataclysmic variables wit..:

Mistry, D ; Copperwheat, C M ; Darnley, M J.
Monthly Notices of the Royal Astronomical Society. 517 (2022) 3 - p. 3362-3376 , 2022

Link: https://doi.org/10.1093/..

3

Efficient Estimation of General Additive Neural Networks: A..:

, In: ECML PKDD 2020 Workshops; Communications in Computer and Information Science,

Lisboa, P. J. G. ; Ortega-Martorell, S. ; Jayabalan, M.. - p. 432-446 , 2020

Link: https://doi.org/10.1007/..

4

MRSI-based molecular imaging of therapy response to temozol..:

Delgado-Goñi, T. ; Ortega-Martorell, S. ; Ciezka, M....
NMR in Biomedicine. 29 (2016) 6 - p. 732-743 , 2016

Link: https://doi.org/10.1002/..

5

Kernel Generative Topographic Mapping of Protein Sequences:

, In: Medical Applications of Intelligent Data Analysis; Advances in Medical Technologies and Clinical Practice,

Cardenas, M.I. ; Vellido, A. ; Olier, I... - p. 195-208 , 2012

Link: https://doi.org/10.4018/..

6

A Bayesian model of EEG/MEG source dynamics and effective c..:

El-Deredy, W. ; Olier, I. ; Trujillo-Barreto, N.
International Journal of Psychophysiology. 85 (2012) 3 - p. 346 , 2012

Link: https://doi.org/10.1016/..

7

Early pseudoprogression and progression lesions in glioblas..:

Ungan, G ; Pons-Escoda, A ; Ulinic, D...
https://researchonline.ljmu.ac.uk/id/eprint/22001/1/NMR%20in%20Biomedicine%20-%202024%20-%20Ungan%20-%20Early%20pseudoprogression%20and%20progression%20lesions%20in%20glioblastoma%20patients%20are%20both.pdf. , 2024

Link: http://researchonline.lj..

8

Relationship between trajectories of dietary iron intake an..:

Wang, R ; Liu, Y ; Thabane, L...
https://researchonline.ljmu.ac.uk/id/eprint/22616/1/s12937-024-00925-5.pdf. , 2024

Link: http://researchonline.lj..

9

Causal inference and observational data:

Olier, I ; Zhan, Y ; Liang, X.
https://researchonline.ljmu.ac.uk/id/eprint/21711/1/s12874-023-02058-5.pdf. , 2023

Link: http://researchonline.lj..

10

How to Open a Black Box Classifier for Tabular Data:

Walters, B ; Ortega-Martorell, S ; Olier, I.
https://researchonline.ljmu.ac.uk/id/eprint/19255/1/HowToOpenaBlackBox%20-algorithms-2023.pdf. , 2023

Link: http://researchonline.lj..

11

Machine-learning applications for cataclysmic variable disc..:

Mistry, D ; Copperwheat, CM ; Darnley, MJ.
https://researchonline.ljmu.ac.uk/id/eprint/22094/1/Machine%20Learning%20applications%20for%20cataclysmic%20variable%20discovery%20in%20the%20ZTF%20alert%20stream.pdf. , 2023

Link: http://researchonline.lj..

12

Sepsis-induced coagulopathy is associated with new episodes..:

Ortega-Martorell, S ; Olier, I ; Johnston, BW.
https://researchonline.ljmu.ac.uk/id/eprint/21502/7/Sepsis-induced%20coagulopathy%20is%20associated%20with%20new%20episodes%20of%20atrial%20fibrillation%20in%20patients%20admitted%20to%20critical%20care%20in%20sinus%20rhythm.pdf. , 2023

Link: http://researchonline.lj..

13

Tracking Therapy Response in Glioblastoma Using 1D Convolut..:

Ortega Martorell, S ; Olier, I ; Hernandez, O...
https://researchonline.ljmu.ac.uk/id/eprint/20661/1/Tracking%20Therapy%20Response%20in%20Glioblastoma%20Using%201D.pdf. , 2023

Link: http://researchonline.lj..

14

Machine Learning applications for Cataclysmic Variable disc..:

Mistry, D ; Copperwheat, C. M ; Olier, I.
http://arxiv.org/abs/2312.05513. , 2023

Link: http://arxiv.org/abs/231..

15

The association of epicardial adipose tissue volume and den..:

Heseltine, T ; Hughes, E ; Mattew, J...
https://researchonline.ljmu.ac.uk/id/eprint/18936/8/The%20association%20of%20epicardial%20adipose%20tissue%20and%20CVD%20in%20HIV.pdf. , 2023

Link: http://researchonline.lj..