Simulating federated learning for steatosis detection using ultrasound images

Autor: Yue Qi, Pedro Vianna, Alexandre Cadrin-Chênevert, Katleen Blanchet, Emmanuel Montagnon, Eugene Belilovsky, Guy Wolf, Louis-Antoine Mullie, Guy Cloutier, Michaël Chassé, An Tang

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting steatosis using B-mode US images. A private d

Externí odkaz: https://doaj.org/article/22e256b2f8f04da4a8ee480139814455

How to guide humans towards skills improvement in physical human-robot collaboration using reinforcement learning?

Autor: Selma Kchir, Amel Bouzeghoub, Katleen Blanchet, Olivier Lebec

Publikováno v: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
SMC 2020: IEEE International Conference on Systems, Man, and Cybernetics
SMC 2020: IEEE International Conference on Systems, Man, and Cybernetics, Oct 2020, Toronto (online), Canada. pp.4281-4287, ⟨10.1109/SMC42975.2020.9283469⟩
SMC

International audience; This work aims at improving the workers’ wellbeing by providing them with skill-based personalized assistance in the context of physical Human-Robot Collaboration (pHRC). Past researches usually assume that each person will

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0813d62522027f27acb511e5b318b97a
https://hal.archives-ouvertes.fr/hal-03113458

From raw signals to human skills level in physical human-robot collaboration for advanced-manufacturing applications

Autor: Amel Bouzeghoub, Katleen Blanchet, Patrick Hède, Olivier Lebec, Selma Kchir

Publikováno v: Neural Information Processing: 26th international conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, proceedings, part II
ICONIP 2019: 26th International Conference on Neural Information Processing
ICONIP 2019: 26th International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.554-565, ⟨10.1007/978-3-030-36711-4_47⟩
Neural Information Processing ISBN: 9783030367107
ICONIP (2)

International audience; Providing individualized assistance to a human when she/he is physically interacting with a robot is a challenge that necessarily entails user profiling. The identification of the human profile in advanced-manufacturing is onl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8085a5c98ab29904c965817f6d285ec
https://hal.science/hal-02450428