Phil Snyder

According to our database, Phil Snyder authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Sparse-grid discontinuous Galerkin methods for the Vlasov-Poisson-Lenard-Bernstein model.

Stefan Schnake, Coleman Kendrick, Eirik Endeve, Miroslav Stoyanov, Steven E. Hahn, Cory D. Hauck, David L. Green, Phil Snyder, John Canik

J. Comput. Phys., 2024

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

2020

Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants.

Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patrick J. Heagerty, Pat A. Areán, Larsson Omberg

npj Digit. Medicine, 2020

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data.

Phil Snyder, Meghasyam Tummalacherla, Thanneer Malai Perumal, Larsson Omberg

J. Open Source Softw., 2020

Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features.

Elias Chaibub Neto, Phil Snyder, Solveig K. Sieberts, Larsson Omberg

CoRR, 2020

Single cell tracking based on Voronoi partition via stable matching.

Young Hwan Chang, Jeremy Linsley, Josh Lamstein, Jaslin Kalra, Irina Epstein, Mariya Barch, Kenneth Daily, Phil Snyder, Larsson Omberg, Laura Heiser, Steven Finkbeiner

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Detecting the impact of subject characteristics on machine learning-based diagnostic applications.

Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2019

Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants.

Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patricki J. Heagerty, Pat A. Areán, Larsson Omberg

CoRR, 2019

2018

Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors.

Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018