Ryan King

According to our database, Ryan King authored at least 10 papers between 2002 and 2023.

Collaborative distances:

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

2023

Self-Assessment of Having COVID-19 With the Corona Check mHealth App.

Felix Beierle, Johannes Allgaier, Carolin Stupp, Thomas Keil, Winfried Schlee, Johannes Schobel, Carsten Vogel, Fabian Haug, Julian Haug, Marc Holfelder, Berthold Langguth, Jana Langguth, Burgi Riens, Ryan King, Lena Mulansky, Marc Schickler, Michael Stach, Peter Heuschmann, Manfred Wildner, Helmut Greger, Manfred Reichert, Hans A. Kestler, Rüdiger Pryss

IEEE J. Biomed. Health Informatics, June, 2023

Multimodal Pretraining of Medical Time Series and Notes.

Ryan King, Tianbao Yang, Bobak J. Mortazavi

Proceedings of the Machine Learning for Health, 2023

2021

Growing Representation Learning.

Ryan King, Bobak Mortazavi

CoRR, 2021

Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch.

Kinshuk Panda, Ryan King, Jonathan Maack, Ignas Satkauskas, Kristi Potter

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2019

A block-random algorithm for learning on distributed, heterogeneous data.

Prakash Mohan, Marc T. Henry de Frahan, Ryan King, Ray W. Grout

CoRR, 2019

2018

From Deep to Physics-Informed Learning of Turbulence: Diagnostics.

Ryan King, Oliver Hennigh, Arvind Mohan, Michael Chertkov

CoRR, 2018

2017

Participatory Design Using Sensory Substitution Devices with Tactile and Audio Feedback.

Ella Tuson, Samantha Hughson, Christina Zymaris, Ryan King

Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017

2013

External Force Estimation for Telerobotics without Force Sensor.

Enrique del Sol, Prithvi Sekhar Pagala, Ryan King, Manuel Ferre

Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013

2006

Slashpack: An Integrated Tool for Gathering and Managing Hypertext Data.

Christopher H. Brooks, Monica Agarwal, Jason Endo, Ryan King, Nancy Montanez, Rudd Stevens

Proceedings of the Proceedings, 2006

2002

Maximum likelihood network topology identification from edge-based unicast measurements.

Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang

Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2002