Michael Zevin

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 7

Top Topics

Machine Learning

Unsupervised Learning

Top Venues

IEEE Trans. Learn. Technol.

Publications

Kevin Crowston, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin, Carsten S. Østerlund, Tae Kyoung Lee, Corey Brian Jackson, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scott Coughlin, Aggelos K. Katsaggelos
Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Trans. Learn. Technol. 13 (1) (2020)
Corey Brian Jackson, Carsten S. Østerlund, Kevin Crowston, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scotty Coughlin, Vicky Kalogera, Aggelos K. Katsaggelos, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin
Teaching citizen scientists to categorize glitches using machine learning guided training. Comput. Hum. Behav. 105 (2020)
Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos
Machine learning for Gravity Spy: Glitch classification and dataset. Inf. Sci. 444 (2018)
Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR (2018)
Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin
Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP (2018)
Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos
Deep multi-view models for glitch classification. ICASSP (2017)
Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos
Deep Multi-view Models for Glitch Classification. CoRR (2017)