Papers
Export 6 results:
Filters: First Letter Of Last Name is N [Clear All Filters]
Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002
. (2019). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb
. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb
. (2021). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294
. (2012). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294
. (2012). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
. (2024).