Patrice Abry is affiliated with the École Normale Supérieure de Lyon in France. Their research primarily focuses on the intersection of economics, econometrics, and finance, with significant contributions across related subfields such as economics and econometrics, computer vision and pattern recognition, finance, modeling and simulation, and global and planetary change.
The main topics covered in their work include complex systems and time series analysis, financial risk and volatility modeling, COVID-19 epidemiological studies, image and signal denoising methods, heart rate variability and autonomic control, neural dynamics and brain function, as well as random matrices and their applications.
Recent publications by Patrice Abry reflect this broad range of research interests and include:
Patrice Abry collaborates frequently with a consistent group of coauthors, including Herwig Wendt, Nelly Pustelnik, Barbara Pascal, Gustavo Didier, and Pierre Borgnat. These partnerships have contributed to a body of work that spans multiple publications in key venues.
Key publication venues for Patrice Abry include arXiv (Cornell University), IEEE Transactions on Signal Processing, the 2022 30th European Signal Processing Conference (EUSIPCO), UNC Libraries, and PLoS ONE.
Patrice Abry has received recognition as an IEEE Fellow in 2012 for contributions to the theory and applications of fractal and multifractal analysis in signal and image processing.
P. Abry;D. Veitch
D. Veitch;P. Abry
P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch
P. Abry;R. Baraniuk;P. Flandrin;R. Riedi
Patrice Abry;Fabrice Sellan
Romain Fontugne;Pierre Borgnat;Patrice Abry;Kensuke Fukuda
Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry
H. Wendt;P. Abry;S. Jaffard
P. Borgnat;G. Dewaele;K. Fukuda;P. Abry
Patrice Abry;Paulo Gonçalvès;Patrick Flandrin
Stéphane Jaffard;Stéphane Jaffard;Bruno Lashermes;Patrice Abry
Herwig Wendt;Stéphane G. Roux;Stéphane Jaffard;Patrice Abry
Patrice Abry;Darryl Veitch;Patrick Flandrin
Philippe Ciuciu;Gaël Varoquaux;Gaël Varoquaux;Gaël Varoquaux;Patrice Abry;Sepideh Sadaghiani
A. Scherrer;N. Larrieu;P. Owezarski;P. Borgnat
Guillaume Dewaele;Kensuke Fukuda;Pierre Borgnat;Patrice Abry
N. Hohn;D. Veitch;P. Abry
Bruno Lashermes;Patrice Abry;Pierre Chainais
H. Wendt;P. Abry
P. Chainais;R. Riedi;P. Abry
Matthew Roughan;Darryl Veitch;Patrice Abry
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA can open doors to a wide range of online degree options and career pathways. With technology deeply integrated into almost every field, students may choose to complement or expand their expertise through further studies in related disciplines.
Students interested in leadership roles often pursue emba online programs, which combine business acumen with technical skills. For those drawn toward information management and digital resources, earning a master in library science offers valuable skills for careers in data curation or knowledge management.
Budget-conscious students should research the least expensive online masters programs, making advanced education accessible without excessive debt. Meanwhile, professionals aspiring to top leadership positions might consider affordable doctoral programs in leadership to unlock careers in academia or upper management.
By exploring these flexible online options, learners can tailor their education to best fit their career aspirations in the evolving tech landscape.
University of Groningen
Zhejiang Normal University
University of Sydney
Xidian University
University of Newcastle Australia
Northwestern University
Chinese Academy of Sciences
University of Edinburgh
Servicio Gallego de Salud
Cleveland Clinic Lerner College of Medicine
Alfréd Rényi Institute of Mathematics
University of Utah
Google (United States)
Yale-NUS College
University of Montreal
University of Mons