Mike A. Merrill
Mike A. Merrill
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Cited by
Cited by
CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia
R Wang, MSH Aung, S Abdullah, R Brian, AT Campbell, T Choudhury, ...
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.
D Ben-Zeev, R Brian, R Wang, W Wang, AT Campbell, MSH Aung, ...
Psychiatric rehabilitation journal 40 (3), 266, 2017
Assessing mental health issues on college campuses: Preliminary findings from a pilot study
VWS Tseng, M Merrill, F Wittleder, S Abdullah, MH Aung, T Choudhury
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization
X Xu, H Zhang, Y Sefidgar, Y Ren, X Liu, W Seo, J Brown, K Kuehn, ...
Advances in Neural Information Processing Systems 35, 24655-24692, 2022
Self-Supervised Pretraining and Transfer Learning Enable\titlebreak Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
MA Merrill, T Althoff
Conference on Health, Inference, and Learning, 191-206, 2023
Coral: Code representation learning with weakly-supervised transformers for analyzing data analysis
G Zhang, MA Merrill, Y Liu, J Heer, T Althoff
EPJ Data Science 11 (1), 14, 2022
Transformer-based behavioral representation learning enables transfer learning for mobile sensing in small datasets
MA Merrill, T Althoff
arXiv preprint arXiv:2107.06097, 2021
MULTIVERSE: mining collective data science knowledge from code on the web to suggest alternative analysis approaches
MA Merrill, G Zhang, T Althoff
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Can smartphone co-locations detect friendship? it depends how you model it
MM Malik, A Doryab, M Merrill, J Pfeffer, AK Dey
arXiv preprint arXiv:2008.02919, 2020
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections
MA Merrill, E Safranchik, A Kolbeinsson, P Gade, E Ramirez, L Schmidt, ...
Conference on Health, Inference, and Learning, 207-228, 2023
Sensing depression: Using smartphone sensors to predict changes in depression severity
E Frank, M Merrill, H Aung, C Soares, S Kennedy, M Matthews, D Kupfer, ...
Neuropsychopharmacology 43, S346-S346, 2017
Language Models Still Struggle to Zero-shot Reason about Time Series
MA Merrill, M Tan, V Gupta, T Hartvigsen, T Althoff
arXiv preprint arXiv:2404.11757, 2024
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