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ORCIDMario Alberto Chapa Martell
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2020 – today
- 2021
[j5]Zilu Liang
, Mario Alberto Chapa Martell:
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers. Frontiers Digit. Health 3: 665946 (2021)- 2020
- [c14]Zilu Liang, Mario Alberto Chapa Martell:
A Two-stage Imbalanced Learning Method for Sleep Stages Classification using Consumer Activity Trackers. HEALTHINF 2020: 633-640 - [c13]Zilu Liang, Mario Alberto Chapa Martell:
Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. MobiHealth 2020: 339-350
2010 – 2019
- 2019
- [c12]Zilu Liang, Mario Alberto Chapa Martell:
Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification. DASC/PiCom/DataCom/CyberSciTech 2019: 768-775 - [c11]Zilu Liang, Mario Alberto Chapa Martell:
Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. ICHI 2019: 1-3 - [c10]Zilu Liang, Mario Alberto Chapa Martell:
Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands. PerCom Workshops 2019: 777-782 - 2018
- [j4]Zilu Liang, Mario Alberto Chapa Martell:
Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions. J. Heal. Informatics Res. 2(1-2): 152-178 (2018) - [j3]Zilu Liang, Mario Alberto Chapa Martell:
Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking. EAI Endorsed Trans. Pervasive Health Technol. 4(15): e4 (2018) - [j2]Zilu Liang, Yasuyuki Yoshida, Nami Iino, Takuichi Nishimura, Mario Alberto Chapa Martell, Satoshi Nishimura:
A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices. EAI Endorsed Trans. Pervasive Health Technol. 4(15): e5 (2018) - [c9]Zilu Liang, Mario Alberto Chapa Martell:
A Top-Down Approach to Teaching Web Development in the Cloud. TALE 2018: 32-39 - 2017
- [c8]Zilu Liang, Mario Alberto Chapa Martell:
Considering interpersonal differences in validating wearable sleep-tracking technologies. ICMU 2017: 1-4 - [c7]Zilu Liang, Satoshi Nishimura, Takuichi Nishimura, Mario Alberto Chapa Martell:
Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization. JSAI-isAI Workshops 2017: 375-389 - [c6]Zilu Liang, Bernd Ploderer, Mario Alberto Chapa Martell:
Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures. PervasiveHealth 2017: 476-479 - 2016
- [c5]Zilu Liang, Yukiko Nagata, Mario Alberto Chapa Martell, Takuichi Nishimura:
Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set. HealthCom 2016: 1-5 - [c4]Zilu Liang, Mario Alberto Chapa Martell, Takuichi Nishimura:
Mining hidden correlations between sleep and lifestyle factors from quantified-self data. UbiComp Adjunct 2016: 547-552 - [c3]Zilu Liang, Mario Alberto Chapa Martell, Takuichi Nishimura:
A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data. ICHI 2016: 18-23 - 2015
- [j1]Mario Alberto Chapa Martell, Hiroyuki Sato:
Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis. Int. J. Netw. Comput. 5(1): 86-104 (2015) - [c2]Zilu Liang, Mario Alberto Chapa Martell:
Framing Self-quantification for Individual-level Preventive Health Care. HEALTHINF 2015: 336-343 - 2014
- [c1]Mario Alberto Chapa Martell, Sato Hiroyuki:
A Linear Performance-Breakdown Model for GPU Programming Optimization Guidance. IPDPS Workshops 2014: 596-603
Coauthor Index
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