Marc Sebban

Marc Sebban

Université Jean Monnet

H-index: 26

Europe-France

About Marc Sebban

Marc Sebban, With an exceptional h-index of 26 and a recent h-index of 18 (since 2020), a distinguished researcher at Université Jean Monnet, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mixed-field Radiation Monitoring and Beam Characterisation Through Silicon Diode Detectors

Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

Laser-induced surface organization on the nanoscale guided by machine learning

CHARM High-energy Ions for Micro Electronics Reliability Assurance (CHIMERA)

Learning complexity to guide light-induced self-organized nanopatterns

CERN Super Proton Synchrotron Radiation Environment and Related Radiation Hardness Assurance Implications

Ultra-large Silicon Diode for Characterising Low-intensity Radiation Environments

JACOW: Overview of total ionizing dose levels in the Large Hadron Collider during 2022 restart

Marc Sebban Information

University

Position

Professor of Computer Science

Citations(all)

5243

Citations(since 2020)

2774

Cited By

3650

hIndex(all)

26

hIndex(since 2020)

18

i10Index(all)

61

i10Index(since 2020)

32

Email

University Profile Page

Université Jean Monnet

Google Scholar

View Google Scholar Profile

Marc Sebban Skills & Research Interests

Machine Learning

Top articles of Marc Sebban

Title

Journal

Author(s)

Publication Date

Mixed-field Radiation Monitoring and Beam Characterisation Through Silicon Diode Detectors

IEEE Transactions on Nuclear Science

Kacper Biłko

Rubén García Alía

Mario Sacristan Barbero

Sylvain Girard

Ygor Aguiar

...

2024/1/5

Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

Benjamin Girault

Rémi Emonet

Amaury Habrard

Jordan Patracone

Marc Sebban

2024/3/23

Laser-induced surface organization on the nanoscale guided by machine learning

Jean-Philippe Colombier

Eduardo Brandao

Anthony Nakhoul

Rémi Emonet

Amaury Habrard

...

2024/3/13

CHARM High-energy Ions for Micro Electronics Reliability Assurance (CHIMERA)

IEEE Transactions on Nuclear Science

Kacper Bilko

Rubén García Alía

Alessandra Constantino

Andrea Coronetti

Salvatore Danzeca

...

2024/1/25

Learning complexity to guide light-induced self-organized nanopatterns

Physical Review Letters

Eduardo Brandao

Anthony Nakhoul

Stefan Duffner

Rémi Emonet

Florence Garrelie

...

2023/5/30

CERN Super Proton Synchrotron Radiation Environment and Related Radiation Hardness Assurance Implications

IEEE Transactions on Nuclear Science

Kacper Biłko

Rubén García Alía

Diego Di Francesca

Ygor Aguiar

Salvatore Danzeca

...

2023/3/23

Ultra-large Silicon Diode for Characterising Low-intensity Radiation Environments

IEEE Transactions on Nuclear Science

Kacper Biłko

Rubén García Alía

Sylvain Girard

Mario Sacristan Barbero

Matteo Cecchetto

...

2023/11/30

JACOW: Overview of total ionizing dose levels in the Large Hadron Collider during 2022 restart

Kacper Bilko

Sylvain Girard

Ruben Garcia Alia

Marc Sebban

2023

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks

Nahuel Garcia-D’Urso

Pablo Ramon-Guevara

Jorge Azorin-Lopez

Marc Sebban

Amaury Habrard

...

2023/11/26

Radiation environment in the Large Hadron Collider during the 2022 restart and related RHA implications

IEEE Transactions on Nuclear Science

Kacper Biłko

Rubén García Alía

Ygor Aguiar

Salvatore Danzeca

Diego Di Francesca

...

2023/10/27

Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao

Stefan Duffner

Rémi Emonet

Amaury Habrard

François Jacquenet

...

2023/9/17

Predicting laser-induced colors of random plasmonic metasurfaces and optimizing image multiplexing using deep learning

ACS nano

Hongfeng Ma

Nicolas Dalloz

Amaury Habrard

Marc Sebban

Florian Sterl

...

2022/6/3

Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging?

Rehan Jhuboo

Ievgen Redko

Alain Guignandon

Françoise Peyrin

Marc Sebban

2022/8/29

Fast multiscale diffusion on graphs

Sibylle Marcotte

Amélie Barbe

Rémi Gribonval

Titouan Vayer

Marc Sebban

...

2022/5/23

Learning PDE to model self-organization of matter

Entropy

Eduardo Brandao

Jean-Philippe Colombier

Stefan Duffner

Rémi Emonet

Florence Garrelie

...

2022/8/9

Code for reproducible research-Fast Multiscale Diffusion on Graphs

Sibylle Marcotte

Amélie Barbe

Rémi Gribonval

Titouan Vayer

Marc Sebban

...

2022/2/16

Architecture for Automatic Recognition of Group Activities Using Local Motions and Context

IEEE Access

Luis Felipe Borja-Borja

Jorge Azorín-López

Marcelo Saval-Calvo

Andrés Fuster-Guilló

Marc Sebban

2022/7/29

optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning

Hongfeng Ma

Nicolas Dalloz

Amaury Habrard

Marc Sebban

Mathieu Hébert

...

2022/7/19

Stochasticity versus determinism in LIPSS formation

Jean-Philippe Colombier

Eduardo Brandao

Anthony Nakhoul

Rémi Emonet

Florence Garrelie

...

2022/9/21

Optimal tensor transport

Proceedings of the AAAI Conference on Artificial Intelligence

Tanguy Kerdoncuff

Rémi Emonet

Michaël Perrot

Marc Sebban

2022/6/28

See List of Professors in Marc Sebban University(Université Jean Monnet)

Co-Authors

H-index: 77
Tinne Tuytelaars

Tinne Tuytelaars

Katholieke Universiteit Leuven

H-index: 31
Amaury Habrard

Amaury Habrard

Université Jean Monnet

H-index: 30
Miguel Cazorla (ORCID:0000-0001-6805-3633)

Miguel Cazorla (ORCID:0000-0001-6805-3633)

Universidad de Alicante

H-index: 26
Jose Oncina

Jose Oncina

Universidad de Alicante

H-index: 25
Jose M. Iñesta

Jose M. Iñesta

Universidad de Alicante

H-index: 22
Christophe Ducottet

Christophe Ducottet

Université Jean Monnet

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