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  1. fr.wikipedia.org › wiki › Maxime_LerouxMaxime Leroux — Wikipédia

    Maxime Leroux, né le 26 mars 1951 à Sainte-Adresse (Seine-Inférieure) et mort le 21 janvier 2010 à Paris 15 e, est un acteur français.

  2. www.parismatch.com › People › Maxime-Leroux-la-mort-d-un-touchMaxime Leroux, la mort d’un «touche-à-tout» - Paris Match

    Jan 26, 2010 · Ce weekend, l’acteur Maxime Leroux, principalement connu pour son rôle dans la série «Gréco», est décédé à l’âge de 58 ans des suites d’une longue maladie.

  3. scholar.google.com › citations‪Maxime Leroux‬ - ‪Google Scholar‬

    Decoupling and tuning competing effects of different types of defects on flux creep in irradiated YBa Cu O coated conductors. S Eley, M Leroux, MW Rupich, DJ Miller, H Sheng, PM Niraula, A...

  4. www.analysisgroup.com › managers › maxime-lerouxMaxime Leroux - Analysis Group

    Read Maxime’s profile. Mr. Leroux specializes in the application of machine learning (ML) and big data technologies to complex problems related to finance, marketing analytics, fraud detection, client engagement, process automation, and credit and market risk.

  5. en.wikipedia.org › wiki › Maxime_LerouxMaxime Leroux - Wikipedia

    Maxime Leroux (26 March 1951 – 21 January 2010) was a French actor. Partial filmography. Les manèges de l'imaginaire (1982) - L'homme amnésique. Effraction (1983) - Un gangster. Le transfuge (1985) Disorder (1986) - Propriétaire du magasin. Lévy et Goliath (1987) - Goliath. Cross (1987) - Sandro.

  6. www.nature.com › articles › s41699/021/00265-6Unidirectional Kondo scattering in layered NbS 2 - Nature

    Nov 18, 2021 · Maxime Leroux, Cyril Proust, Ana Akrap, Holm Kirmse, Christoph Koch, ShengNan Zhang, QuanSheng Wu, Oleg V. Yazyev, László Forró & Konstantin Semeniuk. npj 2D Materials and Applications 5,...

  7. onlinelibrary.wiley.com › doi › 10How is machine learning useful for macroeconomic forecasting?

    May 13, 2022 · The current forecasting literature has focused on matching specific variables and horizons with a particularly successful algorithm. To the contrary, we study the usefulness of the underlying features driving ML gains over standard macroeconometric methods.

  8. economics.sas.upenn.edu › system › filesHow is Machine Learning Useful for Macroeconomic Forecasting?

    1 Introduction. The intersection of Machine Learning (ML) with econometrics has become an important research landscape in economics. ML has gained prominence due to the availability of large data sets, especially in microeconomic applications, Athey (2018).

  9. arxiv.org › a › leroux_m_1Maxime Leroux's articles on arXiv

    Skyrmion Topological Hall Effect near Room Temperature. Maxime Leroux, Matthew J. Stolt, Song Jin, Douglas V. Pete, Charles Reichhardt, Boris Maiorov. Journal-ref: Scientific Reports volume 8, Article number: 15510 (2018) Subjects: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) [7] arXiv:1803.07203 [ pdf, ps, other]

  10. econpapers.repec.org › RePEc:wly:japmet:v:37:y:2022:i:5:p:How is machine learning useful for macroeconomic forecasting? -...

    Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic and Stéphane Surprenant. Journal of Applied Econometrics, 2022, vol. 37, issue 5, 920-964. Abstract: We move beyond Is Machine Learning Useful for Macroeconomic Forecasting? by adding the how.