Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Erico Tjoa"'
Autor:
Marc Ghanem, Camilo Espinosa, Philip Chung, Momsen Reincke, Natasha Harrison, Thanaphong Phongpreecha, Sayane Shome, Geetha Saarunya, Eloise Berson, Tomin James, Feng Xie, Chi-Hung Shu, Debapriya Hazra, Samson Mataraso, Yeasul Kim, David Seong, Dipro Chakraborty, Manuel Studer, Lei Xue, Ivana Marić, Alan L. Chang, Erico Tjoa, Brice Gaudillière, Vivianne L. Tawfik, Sean Mackey, Nima Aghaeepour
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e29050- (2024)
Background: Anesthesiology plays a crucial role in perioperative care, critical care, and pain management, impacting patient experiences and clinical outcomes. However, our understanding of the anesthesiology research landscape is limited. Accordingl
Externí odkaz:
https://doaj.org/article/25f3a325374d4296a886eabace493252
Autor:
Erico Tjoa, Cuntai Guan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The black-box nature of deep neural networks (DNN) has brought to attention the issues of transparency and fairness. Deep Reinforcement Learning (Deep RL or DRL), which uses DNN to learn its policy, value functions etc, is thus also subject
Externí odkaz:
https://doaj.org/article/e173bc1786914291846045a6f6c89c76
Autor:
Erico Tjoa, Guan Cuntai
Post-hoc analysis is a popular category in eXplainable artificial intelligence (XAI) study. In particular, methods that generate heatmaps have been used to explain the deep neural network (DNN), a black-box model. Heatmaps can be appealing due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c489f9b3caae58d4336f6f20f3286de9
http://arxiv.org/abs/2009.02899
http://arxiv.org/abs/2009.02899
Autor:
Cuntai Guan, Erico Tjoa
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent of deep learning (DL). Along with research pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d0db8a1ae4c6f24122b110d9f0444a3
https://hdl.handle.net/10356/154295
https://hdl.handle.net/10356/154295