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Corrigendum: Applications and techniques for fast machine learning in science

Academic Journal

Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier Duarte; Philip Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; Maurizio Pierini; Thea Aarrestad; Steffen Bähr; Jürgen Becker; Anne-Sophie Berthold; Richard J. Bonventre; Tomás E. Müller Bravo; Markus Diefenthaler; Zhen Dong; Nick Fritzsche; Amir Gholami; Ekaterina Govorkova; Dongning Guo; Kyle J. Hazelwood; Christian Herwig; Babar Khan; Sehoon Kim; Thomas Klijnsma; Yaling Liu; Kin Ho Lo; Tri Nguyen; Gianantonio Pezzullo; Seyedramin Rasoulinezhad; Ryan A. Rivera; Kate Scholberg; Justin Selig; Sougata Sen; Dmitri Strukov; William Tang; Savannah Thais; Kai Lukas Unger; Ricardo Vilalta; Belina von Krosigk; Shen Wang; Thomas K. Warburton

Frontiers in Big Data, Vol 6 (2023)

Open Access (DOAJ) Web of Science Scopus Find it@PNU

Robust errant beam prognostics with conditional modeling for particle accelerators

Academic Journal

Kishansingh Rajput; Malachi Schram; Willem Blokland; Yasir Alanazi; Pradeep Ramuhalli; Alexander Zhukov; Charles Peters; Ricardo Vilalta

Machine Learning: Science and Technology, Vol 5, Iss 1, p 015044 (2024)

Full Text (ProQuest Central) Open Access (DOAJ) Open Access (IOP) Web of Science Scopus Find it@PNU

Applications and Techniques for Fast Machine Learning in Science

Academic Journal

Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier Duarte; Philip Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; Maurizio Pierini; Thea Aarrestad; Steffen Bähr; Jürgen Becker; Anne-Sophie Berthold; Richard J. Bonventre; Tomás E. Müller Bravo; Markus Diefenthaler; Zhen Dong; Nick Fritzsche; Amir Gholami; Ekaterina Govorkova; Dongning Guo; Kyle J. Hazelwood; Christian Herwig; Babar Khan; Sehoon Kim; Thomas Klijnsma; Yaling Liu; Kin Ho Lo; Tri Nguyen; Gianantonio Pezzullo; Seyedramin Rasoulinezhad; Ryan A. Rivera; Kate Scholberg; Justin Selig; Sougata Sen; Dmitri Strukov; William Tang; Savannah Thais; Kai Lukas Unger; Ricardo Vilalta; Belina von Krosigk; Shen Wang; Thomas K. Warburton

Frontiers in Big Data, Vol 5 (2022)

Open Access (DOAJ) Web of Science Scopus Find it@PNU

Stress testing the dark energy equation of state imprint on supernova data

Report

Ben Moews; Rafael S. de Souza; Emille E. O. Ishida; Alex I. Malz; Caroline Heneka; Ricardo Vilalta; Joe Zuntz

Physical Review D. 99(12)

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Introduction to the Special Issue on Meta-Learning.

Academic Journal

Christophe Giraud-Carrier; Ricardo Vilalta; Pavel Brazdil

Machine Learning; Mar2004, Vol. 54 Issue 3, p187-193, 7p

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A Perspective View and Survey of Meta-Learning.

Academic Journal

Ricardo Vilalta; Youssef Drissi

Artificial Intelligence Review; Oct2002, Vol. 18 Issue 2, p77-95, 19p

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A General Approach to Domain Adaptation with Applications in Astronomy.

Academic Journal

Ricardo Vilalta; Kinjal Dhar Gupta; Dainis Boumber; Mikhail M. Meskhi

Publications of the Astronomical Society of the Pacific. Oct2019, Vol. 131 Issue 1004, p1-1. 1p.

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Transfer Learning in Astronomy: A New Machine-Learning Paradigm.

Academic Journal

Ricardo Vilalta

Journal of Physics: Conference Series; Oct2018, Vol. 1085 Issue 5, p1-1, 1p

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Machine Learning Tools for Geomorphic Mapping of Planetary Surfaces

Electronic Resource

Tomasz F. Stepinski; Ricardo Vilalta

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