Reproducibility in Machine Learning for Health. - Matthew B. A. McDermott; Shirly Wang; Nikki Marinsek; Rajesh Ranganath; Marzyeh Ghassemi; Luca Foschini 002 (RML@ICLR, 2019)

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. - Richard Chen 001; Filip Jankovic; Nikki Marinsek; Luca Foschini 002; Lampros Kourtis; Alessio Signorini; Melissa Pugh; Jie Shen; Roy Yaari; Vera Maljkovic; Marc Sunga; Han Hee Song; et al. (KDD, 2019)

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. - Allison Shapiro; Nicole Marinsek; Ieuan Clay; Benjamin Bradshaw; Ernesto Ramirez; Jae Min; Andrew Trister; Yuedong Wang; Tim Althoff; Luca Foschini 002 (Patterns, 2021)

Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests. - Evan Layher; Tyler Santander; Puneeth N. Chakravarthula; Nicole Marinsek; Benjamin O. Turner; Miguel P. Eckstein; Michael B. Miller (NeuroImage, 2023)