Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data. - Yuliya Marchetti (2014)

Spatial data compression via adaptive dispersion clustering. - Yuliya Marchetti; Hai Nguyen 002; Amy Braverman; Noel Cressie (Comput. Stat. Data Anal., 2018)

Classification of Anomalous Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 via Machine Learning. - Yuliya Marchetti; Robert Rosenberg; David Crisp (Remote. Sens., 2019)

Barefoot Rover: a Sensor-Embedded Rover Wheel Demonstrating In-Situ Engineering and Science Extractions using Machine Learning. - Yuliya Marchetti; Jack Lightholder; Eric Junkins; Matthew Cross 004; Lukas Mandrake; Abigail A. Fraeman (ICRA, 2020)

OCO-2 Calibration Refinement Across Versions and Plans for OCO-3. - Robert Rosenberg; Lars Chapsky; David Crisp; Graziela R. Keller; Richard A. Lee 002; Yuliya Marchetti; Shanshan Yu; Annmarie Eldering (IGARSS, 2020)

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. - Yuzhou Chen; Yuliya Marchetti; Yulia R. Gel (AAAI, 2021)

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. - Yuzhou Chen; Yuliya Marchetti; Elena Sizikova; Yulia R. Gel (AAAI, 2022)

Demonstrating Autonomy for Complex Space Missions: A Europa Lander Mission Autonomy Prototype. - Caleb Wagner; Cecilia Mauceri; Philip Twu; Yuliya Marchetti; Joseph A. Russino; Dustin Aguilar; Gregg R. Rabideau; Scott Tepsuporn; Steve A. Chien; Glenn Reeves (J. Aerosp. Inf. Syst., 2024)

Autonomous surface sampling for the Europa Lander mission concept. - Joseph Bowkett; Steve A. Chien; Yuliya Marchetti; Jeremy Nash; Daniel Pastor Moreno; Connor Basich; Matthew Gildner; D. I. Kim; Joseph A. Russino; D. Wang; Jean-Pierre de la Croix; Grace Lim; et al. (Sci. Robotics, 2025)

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning. - Kelsey Doerksen; Yuliya Marchetti; Steven Lu; Kevin Bowman; James Montgomery; Kazuyuki Miyazaki; Yarin Gal; Freddie Kalaitzis (CoRR, 2025)

Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates. - Kelsey Doerksen; Yuliya Marchetti; Kevin Bowman; Steven Lu; James Montgomery; Yarin Gal; Freddie Kalaitzis; Kazuyuki Miyazaki (CoRR, 2025)