Ramesh Kumar Sah

According to our database, Ramesh Kumar Sah authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective.

Ramesh Kumar Sah, Hassan Ghasemzadeh

ACM Trans. Embed. Comput. Syst., March, 2024

CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh

CoRR, 2024

Minimum-Cost Sensor Channel Selection For Wearable Computing.

Ramesh Kumar Sah, Hassan Ghasemzadeh

CoRR, 2024

Heart Rate Variability Estimation with Dynamic Fine Filtering and Global-Local Context Outlier Removal.

Ramesh Kumar Sah, Md. Mahbubur Rahman, Viswam Nathan, Li Zhu, Jungmok Bae, Christina Rosa, Wendy Berry Mendes, Jilong Kuang, Jun Alex Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Stress Monitoring in Free-Living Environments.

Ramesh Kumar Sah, Michael J. Cleveland, Hassan Ghasemzadeh

IEEE J. Biomed. Health Informatics, December, 2023

Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

Continual Learning for Activity Recognition.

Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification.

Ramesh Kumar Sah, Michael J. Cleveland, Assal Habibi, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data.

Ryan Holder, Ramesh Kumar Sah, Michael Cleveland, Hassan Ghasemzadeh

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting.

Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael J. Cleveland

Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

2021

Stress Classification and Personalization: Getting the most out of the least.

Ramesh Kumar Sah, Hassan Ghasemzadeh

CoRR, 2021

2020

Adversarial Transferability in Wearable Sensor Systems.

Ramesh Kumar Sah, Hassan Ghasemzadeh

CoRR, 2020

Poster: Mobile Health for Alcohol Recovery and Relapse Prevention.

Ramesh Kumar Sah, Hassan Ghasemzadeh, Assal Habibi, Michael McDonell, Patricia Pendry, Michael Cleveland

Proceedings of the 5th IEEE/ACM International Conference on Connected Health: Applications, 2020

2019

Adar: Adversarial Activity Recognition in Wearables.

Ramesh Kumar Sah, Hassan Ghasemzadeh

Proceedings of the International Conference on Computer-Aided Design, 2019