Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction - Jonathan Rodriguez
Tufts-Laidlaw Scholar Jonathan Rodriguez's research talk on Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction.
Tufts-Laidlaw Scholar Jonathan Rodriguez's research talk on Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction.
Recorded: Tufts - Robinson 253 - October 19th, 2019
Administrator, Office of the Provost, Tufts University
Andrew Singleton has recently joined the Tufts-Laidlaw Undergraduate Research and Leadership Programme team as a Programme Administrator and is excited to continue to elevate the Laidlaw Programming for current and future scholars. He joined the programme from Venture Café, which connects and educates the entrepreneurial and innovation community in Boston through programs/spaces/events and many other cities around the world. He has a B.S. from MIT in Biology and a background in social-impact enterprises, wind-power, user-computer-interfaces, as well as computer network design. In his spare time, Andrew enjoys travel, hiking, and wildlife photography.
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