| 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 | 295 | 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 | 180 | 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 | 37 | 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 | 29 | 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 | 18 | 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 | 12 | 2022 |
| 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 | 5 | 2023 |
| 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 | 5 | 2021 |
| Transformer-based behavioral representation learning enables transfer learning for mobile sensing in small datasets MA Merrill, T Althoff arXiv preprint arXiv:2107.06097, 2021 | 5 | 2021 |
| CrossCheck: Toward passive sensing and detection of mental health changes in people with schizophrenia [Conference session] R Wang, MSH Aung, S Abdullah, R Brian, AT Campbell, T Choudhury, ... International Joint Conference on Pervasive and Ubiquitous Computing, New …, 2016 | 5 | 2016 |
| 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 | 4 | 2020 |
| Transforming wearable data into health insights using large language model agents MA Merrill, A Paruchuri, N Rezaei, G Kovacs, J Perez, Y Liu, E Schenck, ... arXiv preprint arXiv:2406.06464, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| Are Language Models Actually Useful for Time Series Forecasting? M Tan, MA Merrill, V Gupta, T Althoff, T Hartvigsen arXiv preprint arXiv:2406.16964, 2024 | 1 | 2024 |
| 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 | 1 | 2017 |
| BLADE: Benchmarking Language Model Agents for Data-Driven Science K Gu, R Shang, R Jiang, K Kuang, RJ Lin, D Lyu, Y Mao, Y Pan, T Wu, ... arXiv preprint arXiv:2408.09667, 2024 | | 2024 |
Tanzeem ChoudhuryProfessor, Computing and Information Science, Cornell Tech在 cornell.edu 的电子邮件经过验证
