Scott Coughlin

According to our database, Scott Coughlin authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Probabilistic fusion of crowds and experts for the search of gravitational waves.

Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos

Knowl. Based Syst., 2023

2022

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO.

Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations.

Kyle Akira Rocha, Jeff J. Andrews, Christopher P. L. Berry, Zoheyr Doctor, Pablo Marchant, Vicky Kalogera, Scott Coughlin, Simone S. Bavera, Aaron Dotter, Tassos Fragos, Konstantinos Kovlakas, Devina Misra, Zepei Xing, Emmanouil Zapartas

CoRR, 2022

2021

Enhancing gravitational-wave science with machine learning.

Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michal Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams

Mach. Learn. Sci. Technol., 2021

CACSE: Context Aware Clustering of Stellar Evolution.

Xu Teng, Adam Corpstein, Joel Holm, Willis Knox, Becker Mathie, Philip R. O. Payne, Ethan Vander Wiel, Prabin Giri, Goce Trajcevski, Aaron Dotter, Jeff J. Andrews, Scott Coughlin, Ying Qin, Juan Gabriel Serra-Perez, Nam Tran, Jaime Roman-Garja, Konstantinos Kovlakas, Emmanouil Zapartas, Simone Bavera, Devina Misra, Tassos Fragos

Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

CSD-CMAD: Coupling Similarity and Diversity for Clustering Multivariate Astrophysics Data.

Xu Teng, Thomas Beckler, Bradley Gannon, Benjamin Huinker, Gabriel Huinker, Koushhik Kumar, Christina Marquez, Jacob Spooner, Goce Trajcevski, Prabin Giri, Aaron Dotter, Jeff J. Andrews, Scott Coughlin, Ying Qin, Juan Gabriel Serra-Perez, Nam Tran, Jaime Roman-Garja, Konstantinos Kovlakas, Emmanouil Zapartas, Simone S. Bavera, Devina Misra, Tassos Fragos

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Knowledge Tracing to Model Learning in Online Citizen Science Projects.

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

IEEE Trans. Learn. Technol., 2020

Teaching citizen scientists to categorize glitches using machine learning guided training.

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

Comput. Hum. Behav., 2020

2018

Machine learning for Gravity Spy: Glitch classification and dataset.

Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos

Inf. Sci., 2018

Direct: Deep Discriminative Embedding for Clustering of Ligo Data.

Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Deep multi-view models for glitch classification.

Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017