Jarrad H. Van Stan

According to our database, Jarrad H. Van Stan authored at least 8 papers between 2013 and 2019.

Collaborative distances:

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

2019

Learning from Few Subjects with Large Amounts of Voice Monitoring Data.

Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2019

Correlating an Ambulatory Voice Measure to Electrodermal Activity in Patients with Vocal Hyperfunction.

Gregory A. Ciccarelli, Daryush D. Mehta, Andrew Ortiz, Jarrad H. Van Stan, Laura Toles, Katherine L. Marks, Robert E. Hillman, Thomas F. Quatieri

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

2017

Modal and Nonmodal Voice Quality Classification Using Acoustic and Electroglottographic Features.

Michal Borsky, Daryush D. Mehta, Jarrad H. Van Stan, Jón Guðnason

IEEE ACM Trans. Audio Speech Lang. Process., 2017

2016

Relationships Between Vocal Function Measures Derived from an Acoustic Microphone and a Subglottal Neck-Surface Accelerometer.

Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Uncovering Voice Misuse Using Symbolic Mismatch.

Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules".

Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag

IEEE Trans. Biomed. Eng., 2015

2014

Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules.

Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag

IEEE Trans. Biomed. Eng., 2014

2013

Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features.

Daryush D. Mehta, Matías Zanartu, Jarrad H. Van Stan, Shengran W. Feng, Harold A. Cheyne II, Robert E. Hillman

Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013