Tittaya Mairittha

According to our database, Tittaya Mairittha authored at least 14 papers between 2018 and 2021.

Collaborative distances:

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

2021

On-Device Deep Personalization for Robust Activity Data Collection.

Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

Sensors, 2021

CrowdAct: Achieving High-Quality Crowdsourced Datasets in Mobile Activity Recognition.

Nattaya Mairittha, Tittaya Mairittha, Paula Lago, Sozo Inoue

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Integrating a spoken dialogue system, nursing records, and activity data collection based on smartphones.

Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue

Comput. Methods Programs Biomed., 2021

2020

Improving fine-tuned question answering models for electronic health records.

Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Improving activity data collection with on-device personalization using fine-tuning.

Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care.

Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue

Sensors, 2019

On-Device Deep Learning Inference for Efficient Activity Data Collection.

Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

Sensors, 2019

Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study.

Sozo Inoue, Paula Lago, Tahera Hossain, Tittaya Mairittha, Nattaya Mairittha

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

A dialogue-based annotation for activity recognition.

Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Optimizing activity data collection with gamification points using uncertainty based active learning.

Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Nurse care activity recognition challenge: summary and results.

Paula Lago, Sayeda Shamma Alia, Shingo Takeda, Tittaya Mairittha, Nattaya Mairittha, Farina Faiz, Yusuke Nishimura, Kohei Adachi, Tsuyoshi Okita, François Charpillet, Sozo Inoue

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018

Dialogue Breakdown Detection with Long Short Term Memory.

Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue

Proceedings of the Mobile Computing, Applications, and Services, 2018

A Mobile App for Nursing Activity Recognition.

Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue

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

Pre-Consulting Dialogue Systems for Telemedicine: Yes/No Intent Classification.

Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue

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