Shweta Ware

According to our database, Shweta Ware authored at least 6 papers between 2016 and 2023.

Collaborative distances:

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

2023

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data.

Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

2022

Predicting ADHD Symptoms Using Smartphone Sensing Data.

Shweta Ware, Laura E. Knouse, Israa Draz, Alina Enikeeva

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021

Fusing Location Data for Depression Prediction.

Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang

IEEE Trans. Big Data, 2021

2018

Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure.

Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning.

Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

2016

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data.

Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang

Proceedings of the 2016 IEEE Wireless Health, 2016