Zobrazeno 1 - 10
of 70
pro vyhledávání: '"TAYLOR HARRISON"'
Autor:
Hollylynne S. Lee, Taylor Harrison
Publikováno v:
Journal of Statistics and Data Science Education, Vol 29, Iss 3, Pp 317-327 (2021)
This study provides a glimpse into the professional learning, beliefs, and practices of high school teachers of Advanced Placement (AP) Statistics. Data are from a survey of 445 AP Statistics teachers in late 2018. Results indicate many AP Statistics
Externí odkaz:
https://doaj.org/article/039955ef9e094ef9aaec5452724eb7b9
Autor:
Cetin, Metin, Saatci, Ozge, Rezaeian, Abdol-Hossein, Rao, Chintada Nageswara, Beneker, Chad, Sreenivas, Kukkamudi, Taylor, Harrison, Pederson, Breanna, Chatzistamou, Ioulia, Buckley, Brian, Lessner, Susan, Angel, Peggi, McInnes, Campbell, Sahin, Ozgur
Publikováno v:
In Cell Chemical Biology 21 November 2024 31(11):1926-1941
Autor:
Zambrzycki, Stephen C., Saberi, Samaneh, Biggs, Rachel, Eskandari, Najmeh, Delisi, Davide, Taylor, Harrison, Mehta, Anand S., Drake, Richard R., Gentile, Saverio, Bradshaw, Amy D., Ostrowski, Michael, Angel, Peggi M.
Publikováno v:
In Matrix Biology Plus December 2024 24
Autor:
Vilamala, Marc Roig, Xing, Tianwei, Taylor, Harrison, Garcia, Luis, Srivastava, Mani, Kaplan, Lance, Preece, Alun, Kimmig, Angelika, Cerutti, Federico
In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymbolic data as an input, (ii) retaining the flexibility and modularity on t
Externí odkaz:
http://arxiv.org/abs/2110.08090
Increased adoption of artificial intelligence (AI) systems into scientific workflows will result in an increasing technical debt as the distance between the data scientists and engineers who develop AI system components and scientists, researchers an
Externí odkaz:
http://arxiv.org/abs/2103.03610
Autor:
Barrett-Powell, Katie, Furby, Jack, Hiley, Liam, Vilamala, Marc Roig, Taylor, Harrison, Cerutti, Federico, Preece, Alun, Xing, Tianwei, Garcia, Luis, Srivastava, Mani, Braines, Dave
We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML) and integration of symbolic and subsymbolic AI/ML approaches for even
Externí odkaz:
http://arxiv.org/abs/2010.14388
Autor:
Vilamala, Marc Roig, Taylor, Harrison, Xing, Tianwei, Garcia, Luis, Srivastava, Mani, Kaplan, Lance, Preece, Alun, Kimmig, Angelika, Cerutti, Federico
Training a model to detect patterns of interrelated events that form situations of interest can be a complex problem: such situations tend to be uncommon, and only sparse data is available. We propose a hybrid neuro-symbolic architecture based on Eve
Externí odkaz:
http://arxiv.org/abs/2009.03420
Current techniques for explainable AI have been applied with some success to image processing. The recent rise of research in video processing has called for similar work n deconstructing and explaining spatio-temporal models. While many techniques a
Externí odkaz:
http://arxiv.org/abs/1908.01536
Autor:
Roig Vilamala, Marc, Xing, Tianwei, Taylor, Harrison, Garcia, Luis, Srivastava, Mani, Kaplan, Lance, Preece, Alun, Kimmig, Angelika, Cerutti, Federico
Publikováno v:
In Expert Systems With Applications 1 April 2023 215
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