no code implementations • 17 Jun 2021 • Salman Seyedi, Zifan Jiang, Allan Levey, Gari D. Clifford
The expanding usage of complex machine learning methods like deep learning has led to an explosion in human activity recognition, particularly applied to health.
no code implementations • 28 Jan 2021 • Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
Modern deep learning algorithms have the highest potential of such leakage due to complexity of the models.
1 code implementation • Computing in Cardiology 2020 • Erick A. Perez Alday, Annie Gu, Amit Shah, Chad Robichaux, An-Kwok Ian Wong, Chengyu Liu, Feifei Liu, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Qiao Li, ASHISH SHARMA, Gari D. Clifford, Matthew A. Reyna
Main results: A total of 217 teams submitted 1395 algorithms during the Challenge, representing a diversity of approaches for identifying cardiac abnormalities from both academia and industry.