58 citations · 117 across the 4 of their papers we have counts for
4 papers
Probabilistic smooth attention for deep multiple instance learning in medical imaging
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu +2
The Multiple Instance Learning (MIL) paradigm is attracting plenty of attention in medical imaging classification, where labeled data is scarce. MIL methods cast medical images as…
Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications
J. Glanzer, S. Banagiri, S. B. Coughlin +10
Understanding the noise in gravitational-wave detectors is central to detecting and interpreting gravitational-wave signals. Glitches are transient, non-Gaussian noise features tha…
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
Kyle Akira Rocha, Jeff J. Andrews, Christopher P. L. Berry +13
Binary stars undergo a variety of interactions and evolutionary phases, critical for predicting and explaining observed properties. Binary population synthesis with full stellar-st…
Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning
S B Coughlin, S Bahaadini, N Rohani +17
The observation of gravitational waves from compact binary coalescences by LIGO and Virgo has begun a new era in astronomy. A critical challenge in making detections is determining…