Scott T. Acton is affiliated with the University of Virginia in the United States. Their research spans multiple fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology. Within these areas, their work extensively covers computer vision and pattern recognition, biophysics, media technology, artificial intelligence, and molecular biology as key subfields of study.
The scientist's research interests include a variety of specialized topics such as cell image analysis techniques, image processing techniques and applications, human pose and action recognition, bacterial biofilms and quorum sensing, anomaly detection techniques and applications, multimodal machine learning applications, and astronomy and astrophysical research.
Frequently collaborating with other researchers, Scott T. Acton's notable coauthors include Andreas Gahlmann, Matthew Korban, Peter Youngs, Jie Wang, and Ji Zhang. Each of these collaborators has contributed to multiple publications and joint projects.
Their scholarly output is published across several key venues, including:
Among recent papers, the following stand out:
Scott T. Acton was recognized as an IEEE Fellow in 2013 for contributions to biomedical image analysis, highlighting their engagement with interdisciplinary research areas intersecting computer science and biomedical applications.
Yongjian Yu;S.T. Acton
Bing Li;S.T. Acton
Jinshan Tang;E. Peli;S. Acton
D.P. Mukherjee;S.T. Acton
S.T. Acton;K. Ley
Aniruddha Dutta;Aniruddha Dutta;Tamal Batabyal;Meheli Basu;Scott T. Acton
D.P. Mukherjee;S. Maitra;S.T. Acton
S.T. Acton
S.T. Acton
S.T. Acton;D.P. Mukherjee
Peter C Tay;Christopher D Garson;Scott T Acton;John A Hossack
S.T. Acton;T. Altes;E.E. de Lange
Yongjian Yu;S.T. Acton
Qingling Sun;John A. Hossack;Jinshan Tang;Scott T. Acton
Bing Li;S.T. Acton
Suvadip Mukherjee;Scott T. Acton
Jinshan Tang;S.T. Acton
Jinshan Tang;S. Millington;S.T. Acton;J. Crandall
Michael Boyer;David Tarjan;Scott T. Acton;Kevin Skadron
Gang Dong;S.T. Acton
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