Occupations on the map: Using a super learner algorithm to downscale labor statistics.

Autor: Michiel van Dijk, Thijs de Lange, Paul van Leeuwen, Philippe Debie

Publikováno v: PLoS ONE, Vol 17, Iss 12, p e0278120 (2022)

Detailed and accurate labor statistics are fundamental to support social policies that aim to improve the match between labor supply and demand, and support the creation of jobs. Despite overwhelming evidence that labor activities are distributed une

Externí odkaz: https://doaj.org/article/96b19fd46c59495e9b42285a09c2058c

Unravelling the JPMorgan spoofing case using particle physics visualization methods

Autor: Philippe Debie, Cornelis Gardebroek, Stephan Hageboeck, Paul van Leeuwen, Lorenzo Moneta, Axel Naumann, Joost M. E. Pennings, Andres A. Trujillo‐Barrera, Marjolein E. Verhulst

Publikováno v: European financial management 29 (2023) 1
European financial management, 29(1), 288-326
European Financial Management, 29(1), 288-326. Wiley-Blackwell

On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::665041dc158e415e515f167f64060794
https://research.wur.nl/en/publications/unravelling-the-jpmorgan-spoofing-case-using-particle-physics-vis

Occupations on the map: Using a super learner algorithm to downscale labor statistics

Autor: Thijs De Lange, Philippe Debie, Paul Van Leeuwen, Michiel Van Dijk

Publikováno v: PLoS ONE, 17(12 December)
PLoS ONE 17 (2022) 12 December

Detailed and accurate labor market statistics are fundamental to support social policies that aim to improve the match between labor supply and demand, and support the creation of jobs. Despite overwhelming evidence that labor activities are distribu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58709451a3840da92f67ce75865e7d32
https://doi.org/10.1371/journal.pone.0278120

A Python Library for Memory Augmented Neural Networks

Autor: Stefano Bromuri, Philippe Debie, Weiwei Wang

Publikováno v: WI
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI): 3–6 December 2018 Santiago, Chile, 494-501
STARTPAGE=494;ENDPAGE=501;TITLE=2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
Debie, P, Wang, W & Bromuri, S 2018, A Python Library for Memory Augmented Neural Networks . in 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) : 3–6 December 2018 Santiago, Chile . IEEE Canada, Piscataway, NJ, pp. 494-501 . https://doi.org/10.1109/WI.2018.00-47

A Memory Augmented Neural Network (MANN) is an extension to an RNN which enables it to save large amount of data to a memory object which is dimensionally separated from the Neural Network. This paper introduces a new Python library based on TensorFl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b026bbf50b285471c92a53d5c83fa06
https://doi.org/10.1109/wi.2018.00-47

Unravelling the JPMorgan spoofing case using particle physics visualization methods.

Autor: Debie, Philippe^1,2 (AUTHOR), Gardebroek, Cornelis³ (AUTHOR), Hageboeck, Stephan⁴ (AUTHOR), van Leeuwen, Paul⁵ (AUTHOR), Moneta, Lorenzo⁶ (AUTHOR), Naumann, Axel⁶ (AUTHOR), Pennings, Joost M. E.^1,7,8,9 (AUTHOR), Trujillo‐Barrera, Andres A.¹⁰ (AUTHOR), Verhulst, Marjolein E.^1,11 (AUTHOR) marjolein.verhulst@wur.nl

Publikováno v: European Financial Management. Jan2023, Vol. 29 Issue 1, p288-326. 39p. 13 Charts, 19 Graphs.