Toward a taxonomy of autonomic sleep patterns with electrodermal activity. - Akane Sano; Rosalind W. Picard (EMBC, 2011)

Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders. - Akane Sano; Javier Hernandez; Jean Deprey; Micah Eckhardt; Matthew S. Goodwin; Rosalind W. Picard (UbiComp, 2012)

Stress Recognition Using Wearable Sensors and Mobile Phones. - Akane Sano; Rosalind W. Picard (ACII, 2013)

Recognition of sleep dependent memory consolidation with multi-modal sensor data. - Akane Sano; Rosalind W. Picard (BSN, 2013)

Understanding Ambulatory and Wearable Data for Health and Wellness. - Akane Sano; Rosalind W. Picard (AAAI Spring Symposia, 2014)

Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data. - Akane Sano; Rosalind W. Picard (EMBC, 2014)

The moment: a mobile tool for people with depression or bipolar disorder. - Sky Tien-Yun Huang; Chloe Mun Yee Kwan; Akane Sano (UbiComp Adjunct, 2014)

Predicting students' happiness from physiology, phone, mobility, and behavioral data. - Natasha Jaques; Sara Taylor; Asaph Azaria; Asma Ghandeharioun; Akane Sano; Rosalind W. Picard (ACII, 2015)

Stress is in the eye of the beholder. - Yuliya Lutchyn; Paul Johns; Mary Czerwinski; Shamsi T. Iqbal; Gloria Mark; Akane Sano (ACII, 2015)

HealthAware: An advice system for stress, sleep, diet and exercise. - Akane Sano; Paul Johns; Mary Czerwinski (ACII, 2015)

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. - Akane Sano; Andrew J. K. Phillips; Amy Z. Yu; Andrew W. McHill; Sara Taylor; Natasha Jaques; Charles A. Czeisler; Elizabeth B. Klerman; Rosalind W. Picard (BSN, 2015)

Wavelet-based motion artifact removal for electrodermal activity. - Weixuan Chen; Natasha Jaques; Sara Taylor; Akane Sano; Szymon Fedor; Rosalind W. Picard (EMBC, 2015)

Prediction of Happy-Sad mood from daily behaviors and previous sleep history. - Akane Sano; Amy Z. Yu; Andrew W. McHill; Andrew J. K. Phillips; Sara Taylor; Natasha Jaques; Elizabeth B. Klerman; Rosalind W. Picard (EMBC, 2015)

Automatic identification of artifacts in electrodermal activity data. - Sara Taylor; Natasha Jaques; Weixuan 'Vincent' Chen; Szymon Fedor; Akane Sano; Rosalind W. Picard (EMBC, 2015)

Neurotics Can't Focus: An in situ Study of Online Multitasking in the Workplace. - Gloria Mark; Shamsi T. Iqbal; Mary Czerwinski; Paul Johns; Akane Sano (CHI, 2016)

Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress. - Gloria Mark; Shamsi T. Iqbal; Mary Czerwinski; Paul Johns; Akane Sano; Yuliya Lutchyn (CHI, 2016)

Stress measurement from tongue color imaging. - Javier Hernandez; Craig Ferguson; Akane Sano; Weixuan Chen; Weihui Li; Albert S. Yeung; Rosalind W. Picard (ACII, 2017)

Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. - Natasha Jaques; Sara Taylor; Akane Sano; Rosalind W. Picard (ACII, 2017)

Designing opportune stress intervention delivery timing using multi-modal data. - Akane Sano; Paul Johns; Mary Czerwinski (ACII, 2017)

Multimodal ambulatory sleep detection. - Weixuan Chen; Akane Sano; Daniel Lopez Martinez; Sara Taylor; Andrew W. McHill; Andrew J. K. Phillips; Laura Barger; Elizabeth B. Klerman; Rosalind W. Picard (BHI, 2017)

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. - Natasha Jaques; Ognjen (Oggi) Rudovic; Sara Taylor; Akane Sano; Rosalind W. Picard (AffComp@IJCAI, 2017)

QuantifyMe: An Automated Single-Case Experimental Design Platform. - Akane Sano; Sara Taylor; Craig Ferguson; Akshay Mohan; Rosalind W. Picard (MobiHealth, 2017)

3rd International Workshop on Mental Health and Well-being: Sensing and Intervention. - Saeed Abdullah; Akane Sano; Elizabeth L. Murnane; Mirco Musolesi; Jakob E. Bardram; Sandra Servia; Tanzeem Choudhury (UbiComp/ISWC Adjunct, 2018)

Modeling Cognitive Processes from Multimodal Signals. - Felix Putze; Jutta Hild; Akane Sano; Enkelejda Kasneci; Erin Solovey; Tanja Schultz (ICMI, 2018)

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform. - Sara Taylor; Akane Sano; Craig Ferguson; Akshay Mohan; Rosalind W. Picard (Sensors, 2018)

Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. - Boning Li; Han Yu 008; Akane Sano (ACII Workshops, 2019)

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks. - Terumi Umematsu; Akane Sano; Sara Taylor; Rosalind W. Picard (BHI, 2019)

Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data. - Han Yu 008; Elizabeth B. Klerman; Rosalind W. Picard; Akane Sano (BHI, 2019)

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness. - Terumi Umematsu; Akane Sano; Rosalind W. Picard (EMBC, 2019)

4th international workshop on mental health and well-being: sensing and intervention. - Akane Sano; Saeed Abdullah; Jakob E. Bardram; Sandra Servia; Elizabeth L. Murnane; Tanzeem Choudhury; Mirco Musolesi; Giovanna Nunes Vilaza; Varun Mishra 001 (UbiComp/ISWC Adjunct, 2019)

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (CoRR, 2019)

Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware & Software Platforms. - Akane Sano; Tauhidur Rahman; Mi Zhang 002; Deepak Ganesan; Tanzeem Choudhury (GetMobile Mob. Comput. Commun., 2019)

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. - Akane Sano; Weixuan Chen; Daniel Lopez Martinez; Sara Taylor; Rosalind W. Picard (IEEE J. Biomed. Health Informatics, 2019)

Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing. - Weichen Wang 001; Shayan Mirjafari; Gabriella M. Harari; Dror Ben-Zeev; Rachel Brian; Tanzeem Choudhury; Marta Hauser; John Kane 001; Kizito Masaba; Subigya Nepal; Akane Sano; Emily A. Scherer; et al. (CHI, 2020)

Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress*. - Boning Li; Akane Sano (EMBC, 2020)

Forecasting stress, mood, and health from daytime physiology in office workers and students. - Terumi Umematsu; Akane Sano; Sara Taylor; Masanori Tsujikawa; Rosalind W. Picard (EMBC, 2020)

Frequency-Dependent Light Stimulation Effects on Performance During Vigilance Tasks on a Laptop. - Luis Hector Victor; Akane Sano (EMBC, 2020)

Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning. - Han Yu 008; Akane Sano (EMBC, 2020)

5th international workshop on mental health and well-being: sensing and intervention. - Varun Mishra 001; Akane Sano; Saeed Abdullah; Jakob E. Bardram; Sandra Servia; Elizabeth L. Murnane; Tanzeem Choudhury; Mirco Musolesi; Giovanna Nunes Vilaza; Rajalakshmi Nandakumar; Tauhidur Rahman (UbiComp/ISWC Adjunct, 2020)

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes. - Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Tanzeem Choudhury; Marta Hauser; John Kane 001; Mikio Obuchi; Emily A. Scherer; Megan Walsh; Rui Wang 016; Weichen Wang 001; Akane Sano (MobiHealth, 2020)

Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network. - Han Yu 008; Asami Itoh; Ryota Sakamoto; Motomu Shimaoka; Akane Sano (MobiHealth, 2020)

Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress. - Boning Li; Akane Sano (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Machine learning applications: reflections on mental health assessment and ethics. - Anja Thieme; Danielle Belgrave; Akane Sano; Gavin Doherty (Interactions, 2020)

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. - Sara Taylor; Natasha Jaques; Ehimwenma Nosakhare; Akane Sano; Rosalind W. Picard (IEEE Trans. Affect. Comput., 2020)

Toward the Analysis of Office Workers' Mental Indicators Based on Wearable, Work Activity, and Weather Data. - Yusuke Nishimura; Tahera Hossain; Akane Sano; Shota Isomura; Yutaka Arakawa; Sozo Inoue (ABC, 2021)

Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. - Han Yu 008; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (ACII, 2021)

Health Label and Behavioral Feature Prediction Using Bayesian Hierarchical Vector Autoregression Models. - Ethan N. Lyon; Luis Hector Victor; Akane Sano (EMBC, 2021)

6th International Workshop on Mental Health and Well-being: Sensing and Intervention. - Varun Mishra 001; Akane Sano; Sahiti Kunchay; Saeed Abdullah; Jakob E. Bardram; Elizabeth L. Murnane; Tanzeem Choudhury; Mirco Musolesi; Giovanna Nunes Vilaza; Rajalakshmi Nandakumar; Tauhidur Rahman (UbiComp/ISWC Adjunct, 2021)

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients. - Joanne Zhou; Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Akane Sano (CoRR, 2021)

Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes. - Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Tanzeem Choudhury; Marta Hauser; John Kane 001; Mikio Obuchi; Emily Scherer; Megan Walsh; Rui Wang 016; Weichen Wang 001; Akane Sano (CoRR, 2021)

Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (ACM Trans. Comput. Heal., 2021)

Applied Affective Computing - Leimin Tian; Sharon L. Oviatt; Michal Muszynski; Brent C. Chamberlain; Jennifer Healey; Akane Sano (ACM, 2022)

Bias Reducing Multitask Learning on Mental Health Prediction. - Khadija Zanna; Kusha Sridhar; Han Yu 008; Akane Sano (ACII, 2022)

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. - Huiyuan Yang; Han Yu 008; Kusha Sridhar; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (EMBC, 2022)

7th International Workshop on Mental Health and Well-being: Sensing and Intervention. - Varun Mishra 001; Akane Sano; Sahiti Kunchay; Saeed Abdullah; Jakob E. Bardram; Elizabeth L. Murnane; Tanzeem Choudhury; Mirco Musolesi; Giovanna Nunes Vilaza; Rajalakshmi Nandakumar; Tauhidur Rahman; Xuhai Xu; et al. (UbiComp/ISWC Adjunct, 2022)

Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild. - Han Yu 008; Akane Sano (CoRR, 2022)

Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model. - Bishal Lamichhane; Joanne Zhou; Akane Sano (CoRR, 2022)

Exploiting Social Graph Networks for Emotion Prediction. - Maryam Khalid; Akane Sano (CoRR, 2022)

Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning. - Huiyuan Yang; Han Yu 008; Akane Sano (CoRR, 2022)

LEAVES: Learning Views for Time-Series Data in Contrastive Learning. - Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2022)

PiRL: Participant-Invariant Representation Learning for Healthcare. - Zhaoyang Cao; Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2022)

Turning data into better mental health: Past, present, and future. - Nidal Moukaddam; Akane Sano; Ramiro Salas; Zakia Hammal; Ashutosh Sabharwal (Frontiers Digit. Health, 2022)

Mental State, Mood, and Emotion. - Gavin Doherty; Mirco Musolesi; Akane Sano; Thomas Vaessen (IEEE Pervasive Comput., 2022)

Mental State, Mood, and Emotion (Part 2). - Gavin Doherty; Mirco Musolesi; Akane Sano; Thomas Vaessen (IEEE Pervasive Comput., 2022)

Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. - Kei Shibuya; Zachary D. King; Maryam Khalid; Han Yu 008; Yufei Shen; Khadija Zanna; Ryan L. Brown; Marzieh Majd; Christopher P. Fagundes; Akane Sano (ACIIW, 2023)

Empowering Wearable Seizure Forecasting with Scheduled Sampling. - Peikun Guo; Han Yu 008; Sruthi Gopinath Karicheri; Allen Kuncheria; Huiyuan Yang; Siena Blackwell; Zulfi Haneef; Akane Sano (BHI, 2023)

Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach. - Ziang Tang; Zachary King; Alicia Choto Segovia; Han Yu 008; Gia Braddock; Asami Ito; Ryota Sakamoto; Motomu Shimaoka; Akane Sano (BHI, 2023)

8th International Workshop on Mental Health and Well-being: Sensing and Intervention. - Daniel A. Adler; Xuhai Xu; Varun Mishra 001; Akane Sano; Sahiti Kunchay; Saeed Abdullah; Jakob E. Bardram; Elizabeth L. Murnane; Tanzeem Choudhury; Mirco Musolesi; Yiran Zhao 002; Rajalakshmi Nandakumar; et al. (UbiComp/ISWC Adjunct, 2023)

Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data. - Peikun Guo; Huiyuan Yang; Akane Sano (ICHI, 2023)

Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. - Han Yu 008; Peikun Guo; Akane Sano (ML4H@NeurIPS, 2023)

Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect. - Zachary D. King; Han Yu 008; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (CoRR, 2023)

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal. - Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2023)

Semi-Supervised Learning for Wearable-based Momentary Stress Detection in the Wild. - Han Yu 008; Akane Sano (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Psychotic Relapse Prediction in Schizophrenia Patients Using A Personalized Mobile Sensing-Based Supervised Deep Learning Model. - Bishal Lamichhane; Joanne Zhou; Akane Sano (IEEE J. Biomed. Health Informatics, 2023)

Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality. - Khadija Zanna; Akane Sano (CoRR, 2024)

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. - Zeyu Yang; Peikun Guo; Khadija Zanna; Akane Sano (CoRR, 2024)

Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep. - Akane Sano; Judith Amores; Mary Czerwinski (CoRR, 2024)

Editorial: Multimodal digital approaches to personalized medicine. - Ieuan Clay; Valeria De Luca; Akane Sano (Frontiers Big Data, 2024)

Guest Editorial Best of ACII 2021. - Mohammad Soleymani 001; Shiro Kumano; Emily Mower Provost; Nadia Bianchi-Berthouze; Akane Sano; Kenji Suzuki 002 (IEEE Trans. Affect. Comput., 2024)

ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text. - Han Yu 008; Peikun Guo; Akane Sano (Trans. Mach. Learn. Res., 2024)

AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis. - Han Yu 008; Peikun Guo; Akane Sano (Trans. Mach. Learn. Res., 2024)

SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks. - Maryam Khalid; Elizabeth B. Klerman; Andrew W. McHill; Andrew J. K. Phillips; Akane Sano (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys. - Zeyu Yang; Han Yu 008; Akane Sano (CHIL, 2025)

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. - Zeyu Yang; Han Yu 008; Peikun Guo; Khadija Zanna; Xiaoxue Yang; Akane Sano (Trans. Mach. Learn. Res., 2025)

Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring. - Khadija Zanna; Akane Sano (CoRR, 2025)

GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments. - Maryam Khalid; Akane Sano (CoRR, 2025)

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach. - Khadija Zanna; Akane Sano (CoRR, 2025)

Machine Learning-based Context-Aware EMAs: An Offline Feasibility Study. - Zachary D. King; Maryam Khalid; Han Yu 008; Kei Shibuya; Khadija Zanna; Marzieh Majd; Ryan L. Brown; Yufei Shen; Thomas Vaessen; George Kypriotakis; Christopher P. Fagundes; Akane Sano (CoRR, 2025)