Assessing the Sensitivity of the OMI-NO2 Product to Emission Changes across Europe. - Martijn Schaap; Richard Kranenburg; R. Lyana Curier; Magdalena Jozwicka; Enrico Dammers; Renske Timmermans (Remote. Sens., 2013)

Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. - R. Lyana Curier; Tim J. A. de Jong; Katharina Strauch; Katharina Cramer; Natalie Rosenski; Clara Schartner; Marc Debusschere; Hannah Ziemons; Deniz Iren; Stefano Bromuri (CoRR, 2018)

Monitoring Spatial Sustainable Development: semi-automated analysis of Satellite and Aerial Images for Energy Transition and Sustainability Indicators. - Tim J. A. de Jong; Stefano Bromuri; Xi Chang; Marc Debusschere; Natalie Rosenski; Clara Schartner; Katharina Strauch; Marion Boehmer; R. Lyana Curier (CoRR, 2020)

Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning. - Yu Zhang 043; Martijn Tennekes; Tim J. A. de Jong; R. Lyana Curier; Bob Coecke; Min Chen 001 (CoRR, 2021)

DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics. - Tom Dooney; Stefano Bromuri; R. Lyana Curier (IEEE Big Data, 2022)

cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation. - Tom Dooney; R. Lyana Curier; Daniel Stanley Tan; Melissa Lopez; Chris Van Den Broeck; Stefano Bromuri (CoRR, 2024)

Simulation-based Optimization of User Interfaces for Quality-assuring Machine Learning Model Predictions. - Yu Zhang 043; Martijn Tennekes; Tim J. A. de Jong; R. Lyana Curier; Bob Coecke; Min Chen 001 (ACM Trans. Interact. Intell. Syst., 2024)

DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning. - Tom Dooney; Harsh Narola; Stefano Bromuri; R. Lyana Curier; Chris Van Den Broeck; Sarah Caudill; Daniel Stanley Tan (CoRR, 2025)