1 code implementation • 21 Nov 2022 • Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled K. Saab, Christopher Lee-Messer, Daniel L. Rubin
Multivariate signals are prevalent in various domains, such as healthcare, transportation systems, and space sciences.
1 code implementation • 14 Apr 2022 • Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk patients before they are discharged.
no code implementations • 3 Jun 2021 • Florian Dubost, Erin Hong, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel Rubin
Optimization plays a key role in the training of deep neural networks.
1 code implementation • ICLR 2022 • Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
Automated seizure detection and classification from electroencephalography (EEG) can greatly improve seizure diagnosis and treatment.
1 code implementation • 28 Nov 2020 • Florian Dubost, Erin Hong, Nandita Bhaskhar, Siyi Tang, Daniel Rubin, Christopher Lee-Messer
We propose a semi-supervised machine learning training strategy to improve event detection performance on sequential data, such as video recordings, when only sparse labels are available, such as event start times without their corresponding end times.
no code implementations • 15 Oct 2020 • Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, Daniel L. Rubin
In this study, we used data Shapley, a data valuation metric, to quantify the value of training data to the performance of a pneumonia detection algorithm in a large chest X-ray dataset.
no code implementations • 19 Mar 2019 • Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish Thakor, Sunil Kukreja
Neuromorphic image sensors produce activity-driven spiking output at every pixel.
no code implementations • 16 Mar 2019 • Rohan Ghosh, Anupam Gupta, Siyi Tang, Alcimar Soares, Nitish Thakor
Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution.