A Linear Performance-Breakdown Model for GPU Programming Optimization Guidance. - Mario Alberto Chapa Martell; Sato Hiroyuki (IPDPS Workshops, 2014)

Framing Self-quantification for Individual-level Preventive Health Care. - Zilu Liang; Mario Alberto Chapa Martell (HEALTHINF, 2015)

Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis. - Mario Alberto Chapa Martell; Hiroyuki Sato (Int. J. Netw. Comput., 2015)

Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set. - Zilu Liang; Yukiko Nagata; Mario Alberto Chapa Martell; Takuichi Nishimura (HealthCom, 2016)

Mining hidden correlations between sleep and lifestyle factors from quantified-self data. - Zilu Liang; Mario Alberto Chapa Martell; Takuichi Nishimura (UbiComp Adjunct, 2016)

A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data. - Zilu Liang; Mario Alberto Chapa Martell; Takuichi Nishimura (ICHI, 2016)

Considering interpersonal differences in validating wearable sleep-tracking technologies. - Zilu Liang; Mario Alberto Chapa Martell (ICMU, 2017)

Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization. - Zilu Liang; Satoshi Nishimura; Takuichi Nishimura; Mario Alberto Chapa Martell (JSAI-isAI Workshops, 2017)

Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures. - Zilu Liang; Bernd Ploderer; Mario Alberto Chapa Martell (PervasiveHealth, 2017)

A Top-Down Approach to Teaching Web Development in the Cloud. - Zilu Liang; Mario Alberto Chapa Martell (TALE, 2018)

Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions. - Zilu Liang; Mario Alberto Chapa Martell (J. Heal. Informatics Res., 2018)

Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking. - Zilu Liang; Mario Alberto Chapa Martell (EAI Endorsed Trans. Pervasive Health Technol., 2018)

A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices. - Zilu Liang; Yasuyuki Yoshida; Nami Iino; Takuichi Nishimura; Mario Alberto Chapa Martell; Satoshi Nishimura (EAI Endorsed Trans. Pervasive Health Technol., 2018)

Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification. - Zilu Liang; Mario Alberto Chapa Martell (DASC/PiCom/DataCom/CyberSciTech, 2019)

Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. - Zilu Liang; Mario Alberto Chapa Martell (ICHI, 2019)

Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands. - Zilu Liang; Mario Alberto Chapa Martell (PerCom Workshops, 2019)

A Two-stage Imbalanced Learning Method for Sleep Stages Classification using Consumer Activity Trackers. - Zilu Liang; Mario Alberto Chapa Martell (HEALTHINF, 2020)

Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. - Zilu Liang; Mario Alberto Chapa Martell (MobiHealth, 2020)

A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers. - Zilu Liang; Mario Alberto Chapa Martell (Frontiers Digit. Health, 2021)