Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Merrill, Mike A."'
Autor:
Gu, Ken, Shang, Ruoxi, Jiang, Ruien, Kuang, Keying, Lin, Richard-John, Lyu, Donghe, Mao, Yue, Pan, Youran, Wu, Teng, Yu, Jiaqian, Zhang, Yikun, Zhang, Tianmai M., Zhu, Lanyi, Merrill, Mike A., Heer, Jeffrey, Althoff, Tim
Data-driven scientific discovery requires the iterative integration of scientific domain knowledge, statistical expertise, and an understanding of data semantics to make nuanced analytical decisions, e.g., about which variables, transformations, and
Externí odkaz:
http://arxiv.org/abs/2408.09667
Large language models (LLMs) are being applied to time series tasks, particularly time series forecasting. However, are language models actually useful for time series? After a series of ablation studies on three recent and popular LLM-based time ser
Externí odkaz:
http://arxiv.org/abs/2406.16964
Autor:
Merrill, Mike A., Paruchuri, Akshay, Rezaei, Naghmeh, Kovacs, Geza, Perez, Javier, Liu, Yun, Schenck, Erik, Hammerquist, Nova, Sunshine, Jake, Tailor, Shyam, Ayush, Kumar, Su, Hao-Wei, He, Qian, McLean, Cory Y., Malhotra, Mark, Patel, Shwetak, Zhan, Jiening, Althoff, Tim, McDuff, Daniel, Liu, Xin
Despite the proliferation of wearable health trackers and the importance of sleep and exercise to health, deriving actionable personalized insights from wearable data remains a challenge because doing so requires non-trivial open-ended analysis of th
Externí odkaz:
http://arxiv.org/abs/2406.06464
Time series are critical for decision-making in fields like finance and healthcare. Their importance has driven a recent influx of works passing time series into language models, leading to non-trivial forecasting on some datasets. But it remains unk
Externí odkaz:
http://arxiv.org/abs/2404.11757
Autor:
Xu, Xuhai, Zhang, Han, Sefidgar, Yasaman, Ren, Yiyi, Liu, Xin, Seo, Woosuk, Brown, Jennifer, Kuehn, Kevin, Merrill, Mike, Nurius, Paula, Patel, Shwetak, Althoff, Tim, Morris, Margaret E., Riskin, Eve, Mankoff, Jennifer, Dey, Anind K.
Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehensive public dataset that serves as an open testbed for fair compariso
Externí odkaz:
http://arxiv.org/abs/2211.02733
Autor:
Merrill, Mike A., Althoff, Tim
Detailed mobile sensing data from phones, watches, and fitness trackers offer an unparalleled opportunity to quantify and act upon previously unmeasurable behavioral changes in order to improve individual health and accelerate responses to emerging d
Externí odkaz:
http://arxiv.org/abs/2205.13607
Autor:
Merrill, Mike A., Althoff, Tim
While deep learning has revolutionized research and applications in NLP and computer vision, this has not yet been the case for behavioral modeling and behavioral health applications. This is because the domain's datasets are smaller, have heterogene
Externí odkaz:
http://arxiv.org/abs/2107.06097
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best practices, and providing insights to the builders of scientific toolkits. H
Externí odkaz:
http://arxiv.org/abs/2008.12828
Autor:
Schlegel, David J., Bebek, Chris, Heetderks, Henry, Ho, Shirley, Lampton, Michael, Levi, Michael, Mostek, Nick, Padmanabhan, Nikhil, Perlmutter, Saul, Roe, Natalie, Sholl, Michael, Smoot, George, White, Martin, Dey, Arjun, Abraham, Tony, Jannuzi, Buell, Joyce, Dick, Liang, Ming, Merrill, Mike, Olsen, Knut, Salim, Samir
The BigBOSS experiment is a proposed DOE-NSF Stage IV ground-based dark energy experiment to study baryon acoustic oscillations (BAO) and the growth of structure with an all-sky galaxy redshift survey. The project is designed to unlock the mystery of
Externí odkaz:
http://arxiv.org/abs/0904.0468
Autor:
Minoglou, Kyriaki, Karafolas, Nikos, Cugny, Bruno, Harrison, David, Downing, Kevin, Mooney, Tom, Merrill, Mike
Publikováno v:
Proceedings of SPIE; September 2023, Vol. 12777 Issue: 1 p127776V-127776V-7, 1149992p