Scite: A Deep Learning Tool to Evaluate the Veracity of Scientific Reports by Citation Analysis
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Scite: A Deep Learning Tool to Evaluate the Veracity of Scientific Reports by Citation Analysis In-Person
Presenter: Yuri Lazebnik, PhD Co-founder and CSO Scite, Inc.
This session will provide an introduction and demo on how to use scite (https://scite.ai). This a free and publicly available platform that uses a deep learning model combined with a network of experts to automatically classify citations as supporting, contradicting, or mentioning, thus helping users to evaluate the veracity of scientific reports. We have developed scite in hope that a tool that can reveal how a study has been cited, not just how many times, can help to identify and promote reliable research.
- Date:
- Wednesday, August 7, 2019
- Time:
- 10:00am - 11:00am
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- C-103, SHM, 333 Cedar St, New Haven, 06510
- Campus:
- Medical School
- Categories:
- Bioinformatics
Registration has closed.
Event Organizer
Rolando Garcia-Milian
