Paul K. Hansma

According to our database, Paul K. Hansma authored at least 5 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings.

Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold

CoRR, 2020

How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment.

Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings.

Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold

Proceedings of the Advances in Data Mining, 2019

2007

Design and Modeling of a High-Speed AFM-Scanner.

Georg Schitter, Karl Johan Åström, Barry E. DeMartini, Philipp J. Thurner, Kimberly L. Turner, Paul K. Hansma

IEEE Trans. Control. Syst. Technol., 2007

2006

Design and modeling of a high-speed scanner for atomic force microscopy.

Georg Schitter, Karl Johan Åström, Barry E. DeMartini, Georg E. Fantner, Kimberly L. Turner, Philipp J. Thurner, Paul K. Hansma

Proceedings of the American Control Conference, 2006