Paul K. Hansma

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 5

Top Topics

Unsupervised Feature Learning

Text Classification

Functional Connectivity

Top Venues

ICDM (Workshops)

Publications

Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. CoRR (2020)
Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. CoRR (2020)
Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. ICDM (Workshops) (2020)
Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. CoRR (2019)
Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. ICDM (Posters) (2019)
Georg Schitter, Karl Johan Åström, Barry E. DeMartini, Philipp J. Thurner, Kimberly L. Turner, Paul K. Hansma
Design and Modeling of a High-Speed AFM-Scanner. IEEE Trans. Control. Syst. Technol. 15 (5) (2007)
Georg Schitter, Karl Johan Åström, Barry E. DeMartini, Georg E. Fantner, Kimberly L. Turner, Philipp J. Thurner, Paul K. Hansma
Design and modeling of a high-speed scanner for atomic force microscopy. ACC (2006)