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2020 – today
- 2024
[j15]Ieuan Clay
, Valeria De Luca, Akane Sano:
Editorial: Multimodal digital approaches to personalized medicine. Frontiers Big Data 6 (2024)- [j14]Maryam Khalid, Elizabeth B. Klerman, Andrew W. McHill, Andrew J. K. Phillips, Akane Sano:
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 37:1-37:34 (2024) - [j13]Mohammad Soleymani, Shiro Kumano, Emily Mower Provost, Nadia Bianchi-Berthouze, Akane Sano, Kenji Suzuki:
Guest Editorial Best of ACII 2021. IEEE Trans. Affect. Comput. 15(2): 376-379 (2024) - [i22]Maryam Khalid, Elizabeth B. Klerman, Andrew W. McHill, Andrew J. K. Phillips, Akane Sano:
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks. CoRR abs/2401.11113 (2024) - [i21]Khadija Zanna, Akane Sano:
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality. CoRR abs/2404.08230 (2024) - [i20]Zeyu Yang, Peikun Guo, Khadija Zanna, Akane Sano:
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. CoRR abs/2404.08254 (2024) - [i19]Han Yu, Peikun Guo, Akane Sano:
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis. CoRR abs/2405.11124 (2024) - [i18]Han Yu, Peikun Guo, Akane Sano:
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text. CoRR abs/2405.19366 (2024) - [i17]Akane Sano, Judith Amores, Mary Czerwinski:
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep. CoRR abs/2408.07822 (2024) - 2023
- [j12]Han Yu, Akane Sano:
Semi-Supervised Learning for Wearable-based Momentary Stress Detection in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 80:1-80:23 (2023) - [j11]Bishal Lamichhane, Joanne Zhou, Akane Sano:
Psychotic Relapse Prediction in Schizophrenia Patients Using A Personalized Mobile Sensing-Based Supervised Deep Learning Model. IEEE J. Biomed. Health Informatics 27(7): 3246-3257 (2023) - [c50]Kei Shibuya, Zachary D. King, Maryam Khalid, Han Yu, Yufei Shen, Khadija Zanna, Ryan L. Brown, Marzieh Majd, Christopher P. Fagundes, Akane Sano:
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. ACIIW 2023: 1-4 - [c49]Peikun Guo, Han Yu, Sruthi Gopinath Karicheri, Allen Kuncheria, Huiyuan Yang, Siena Blackwell, Zulfi Haneef, Akane Sano:
Empowering Wearable Seizure Forecasting with Scheduled Sampling. BHI 2023: 1-4 - [c48]Ziang Tang, Zachary King, Alicia Choto Segovia, Han Yu, Gia Braddock, Asami Ito, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach. BHI 2023: 1-4 - [c47]Daniel A. Adler, Xuhai Xu, Varun Mishra, Akane Sano, Sahiti Kunchay, Saeed Abdullah, Jakob E. Bardram, Elizabeth L. Murnane, Tanzeem Choudhury, Mirco Musolesi, Yiran Zhao, Rajalakshmi Nandakumar, Tauhidur Rahman, Zachary D. King, Manasa Kalanadhabhatta, Asif Salekin, Rony Krell, Han Zhang:
8th International Workshop on Mental Health and Well-being: Sensing and Intervention. UbiComp/ISWC Adjunct 2023: 784-787 - [c46]Peikun Guo, Huiyuan Yang, Akane Sano:
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data. ICHI 2023: 206-213 - [c45]Han Yu, Peikun Guo, Akane Sano:
Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. ML4H@NeurIPS 2023: 650-663 - [i16]Zachary D. King, Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect. CoRR abs/2303.09077 (2023) - [i15]Peikun Guo, Huiyuan Yang, Akane Sano:
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data. CoRR abs/2309.09970 (2023) - [i14]Han Yu, Huiyuan Yang, Akane Sano:
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal. CoRR abs/2310.00818 (2023) - 2022
- [b1]Leimin Tian, Sharon L. Oviatt, Michal Muszynski, Brent C. Chamberlain, Jennifer Healey, Akane Sano:
Applied Affective Computing. ACM Books 41, ACM 2022, ISBN 978-1-4503-9590-8 - [j10]Nidal Moukaddam, Akane Sano, Ramiro Salas, Zakia Hammal, Ashutosh Sabharwal:
Turning data into better mental health: Past, present, and future. Frontiers Digit. Health 4 (2022) - [j9]Gavin Doherty, Mirco Musolesi, Akane Sano, Thomas Vaessen:
Mental State, Mood, and Emotion. IEEE Pervasive Comput. 21(2): 8-9 (2022) - [j8]Gavin Doherty, Mirco Musolesi, Akane Sano, Thomas Vaessen:
Mental State, Mood, and Emotion (Part 2). IEEE Pervasive Comput. 21(4): 44-45 (2022) - [c44]Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. ACII 2022: 1-8 - [c43]Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. EMBC 2022: 3253-3256 - [c42]Varun Mishra, 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, King Zach, Manasa Kalanadhabhatta, Daniel A. Adler, Rony Krell:
7th International Workshop on Mental Health and Well-being: Sensing and Intervention. UbiComp/ISWC Adjunct 2022: 468-471 - [i13]Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. CoRR abs/2202.08267 (2022) - [i12]Han Yu, Akane Sano:
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild. CoRR abs/2202.12935 (2022) - [i11]Bishal Lamichhane, Joanne Zhou, Akane Sano:
Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model. CoRR abs/2205.12225 (2022) - [i10]Maryam Khalid, Akane Sano:
Exploiting Social Graph Networks for Emotion Prediction. CoRR abs/2207.05820 (2022) - [i9]Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. CoRR abs/2208.03621 (2022) - [i8]Huiyuan Yang, Han Yu, Akane Sano:
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning. CoRR abs/2210.06701 (2022) - [i7]Han Yu, Huiyuan Yang, Akane Sano:
LEAVES: Learning Views for Time-Series Data in Contrastive Learning. CoRR abs/2210.07340 (2022) - [i6]Zhaoyang Cao, Han Yu, Huiyuan Yang, Akane Sano:
PiRL: Participant-Invariant Representation Learning for Healthcare. CoRR abs/2211.12422 (2022) - 2021
- [j7]Cheng Wan, Andrew W. McHill, Elizabeth B. Klerman, Akane Sano:
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales. ACM Trans. Comput. Heal. 2(3): 20:1-20:15 (2021) - [c41]Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue:
Toward the Analysis of Office Workers' Mental Indicators Based on Wearable, Work Activity, and Weather Data. ABC 2021: 1-26 - [c40]Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. ACII 2021: 1-8 - [c39]Ethan N. Lyon, Luis Hector Victor, Akane Sano:
Health Label and Behavioral Feature Prediction Using Bayesian Hierarchical Vector Autoregression Models. EMBC 2021: 2290-2293 - [c38]Varun Mishra, Akane Sano, Sahiti Kunchay, Saeed Abdullah, Jakob E. Bardram, Elizabeth L. Murnane, Tanzeem Choudhury, Mirco Musolesi, Giovanna Nunes Vilaza, Rajalakshmi Nandakumar, Tauhidur Rahman:
6th International Workshop on Mental Health and Well-being: Sensing and Intervention. UbiComp/ISWC Adjunct 2021: 185-187 - [i5]Joanne Zhou, Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Akane Sano:
Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients. CoRR abs/2106.11487 (2021) - [i4]Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network. CoRR abs/2106.12081 (2021) - [i3]Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Mikio Obuchi, Emily Scherer, Megan Walsh, Rui Wang, Weichen Wang, Akane Sano:
Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes. CoRR abs/2106.15353 (2021) - [i2]Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. CoRR abs/2107.09510 (2021) - 2020
- [j6]Boning Li, Akane Sano:
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 49:1-49:26 (2020) - [j5]Anja Thieme, Danielle Belgrave, Akane Sano, Gavin Doherty:
Machine learning applications: reflections on mental health assessment and ethics. Interactions 27(2): 6-7 (2020) - [j4]Sara Taylor, Natasha Jaques, Ehimwenma Nosakhare, Akane Sano, Rosalind W. Picard:
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. IEEE Trans. Affect. Comput. 11(2): 200-213 (2020) - [c37]Weichen Wang, Shayan Mirjafari, Gabriella M. Harari, Dror Ben-Zeev, Rachel Brian, Tanzeem Choudhury, Marta Hauser, John Kane, Kizito Masaba, Subigya Nepal, Akane Sano, Emily A. Scherer, Vincent W. S. Tseng, Rui Wang, Hongyi Wen, Jialing Wu, Andrew Campbell:
Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing. CHI 2020: 1-15 - [c36]Luis Hector Victor, Akane Sano:
Frequency-Dependent Light Stimulation Effects on Performance During Vigilance Tasks on a Laptop. EMBC 2020: 5232-5235 - [c35]Han Yu, Akane Sano:
Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning. EMBC 2020: 5884-5887 - [c34]Boning Li, Akane Sano:
Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress*. EMBC 2020: 5896-5899 - [c33]Terumi Umematsu, Akane Sano, Sara Taylor, Masanori Tsujikawa, Rosalind W. Picard:
Forecasting stress, mood, and health from daytime physiology in office workers and students. EMBC 2020: 5953-5957 - [c32]Varun Mishra, Akane Sano, Saeed Abdullah, Jakob E. Bardram, Sandra Servia, Elizabeth L. Murnane, Tanzeem Choudhury, Mirco Musolesi, Giovanna Nunes Vilaza, Rajalakshmi Nandakumar, Tauhidur Rahman:
5th international workshop on mental health and well-being: sensing and intervention. UbiComp/ISWC Adjunct 2020: 474-476 - [c31]Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Mikio Obuchi, Emily A. Scherer, Megan Walsh, Rui Wang, Weichen Wang, Akane Sano:
Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes. MobiHealth 2020: 18-33 - [c30]Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network. MobiHealth 2020: 89-103
2010 – 2019
- 2019
- [j3]Akane Sano, Tauhidur Rahman, Mi Zhang, Deepak Ganesan, Tanzeem Choudhury:
Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware & Software Platforms. GetMobile Mob. Comput. Commun. 23(3): 16-22 (2019) - [j2]Akane Sano, Weixuan Chen, Daniel Lopez Martinez, Sara Taylor, Rosalind W. Picard:
Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. IEEE J. Biomed. Health Informatics 23(4): 1607-1617 (2019) - [c29]Boning Li, Han Yu, Akane Sano:
Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. ACII Workshops 2019: 253-257 - [c28]Terumi Umematsu, Akane Sano, Sara Taylor, Rosalind W. Picard:
Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks. BHI 2019: 1-4 - [c27]Han Yu, Elizabeth B. Klerman, Rosalind W. Picard, Akane Sano:
Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data. BHI 2019: 1-4 - [c26]Terumi Umematsu, Akane Sano, Rosalind W. Picard:
Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness. EMBC 2019: 2186-2190 - [c25]Akane Sano, Saeed Abdullah, Jakob E. Bardram, Sandra Servia, Elizabeth L. Murnane, Tanzeem Choudhury, Mirco Musolesi, Giovanna Nunes Vilaza, Varun Mishra:
4th international workshop on mental health and well-being: sensing and intervention. UbiComp/ISWC Adjunct 2019: 899-901 - [i1]Cheng Wan, Andrew W. McHill, Elizabeth B. Klerman, Akane Sano:
Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales. CoRR abs/1908.07483 (2019) - 2018
- [j1]Sara Taylor, Akane Sano, Craig Ferguson, Akshay Mohan, Rosalind W. Picard:
QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform. Sensors 18(4): 1097 (2018) - [c24]Saeed Abdullah, Akane Sano, Elizabeth L. Murnane, Mirco Musolesi, Jakob E. Bardram, Sandra Servia, Tanzeem Choudhury:
3rd International Workshop on Mental Health and Well-being: Sensing and Intervention. UbiComp/ISWC Adjunct 2018: 1681-1685 - [c23]Felix Putze, Jutta Hild, Akane Sano, Enkelejda Kasneci, Erin Solovey, Tanja Schultz:
Modeling Cognitive Processes from Multimodal Signals. ICMI 2018: 663 - 2017
- [c22]Javier Hernandez, Craig Ferguson, Akane Sano, Weixuan Chen, Weihui Li, Albert S. Yeung, Rosalind W. Picard:
Stress measurement from tongue color imaging. ACII 2017: 152-157 - [c21]Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard:
Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. ACII 2017: 202-208 - [c20]Akane Sano, Paul Johns, Mary Czerwinski:
Designing opportune stress intervention delivery timing using multi-modal data. ACII 2017: 346-353 - [c19]Weixuan Chen, Akane Sano, Daniel Lopez Martinez, Sara Taylor, Andrew W. McHill, Andrew J. K. Phillips, Laura Barger, Elizabeth B. Klerman, Rosalind W. Picard:
Multimodal ambulatory sleep detection. BHI 2017: 465-468 - [c18]Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard:
Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. AffComp@IJCAI 2017: 17-33 - [c17]Akane Sano, Sara Taylor, Craig Ferguson, Akshay Mohan, Rosalind W. Picard:
QuantifyMe: An Automated Single-Case Experimental Design Platform. MobiHealth 2017: 199-206 - 2016
- [c16]Gloria Mark, Shamsi T. Iqbal, Mary Czerwinski, Paul Johns, Akane Sano, Yuliya Lutchyn:
Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress. CHI 2016: 1717-1728 - [c15]Gloria Mark, Shamsi T. Iqbal, Mary Czerwinski, Paul Johns, Akane Sano:
Neurotics Can't Focus: An in situ Study of Online Multitasking in the Workplace. CHI 2016: 1739-1744 - 2015
- [c14]Yuliya Lutchyn, Paul Johns, Mary Czerwinski, Shamsi T. Iqbal, Gloria Mark, Akane Sano:
Stress is in the eye of the beholder. ACII 2015: 119-124 - [c13]Natasha Jaques, Sara Taylor, Asaph Azaria, Asma Ghandeharioun, Akane Sano, Rosalind W. Picard:
Predicting students' happiness from physiology, phone, mobility, and behavioral data. ACII 2015: 222-228 - [c12]Akane Sano, Paul Johns, Mary Czerwinski:
HealthAware: An advice system for stress, sleep, diet and exercise. ACII 2015: 546-552 - [c11]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:
Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. BSN 2015: 1-6 - [c10]Sara Taylor, Natasha Jaques, Weixuan 'Vincent' Chen, Szymon Fedor, Akane Sano, Rosalind W. Picard:
Automatic identification of artifacts in electrodermal activity data. EMBC 2015: 1934-1937 - [c9]Weixuan Chen, Natasha Jaques, Sara Taylor, Akane Sano, Szymon Fedor, Rosalind W. Picard:
Wavelet-based motion artifact removal for electrodermal activity. EMBC 2015: 6223-6226 - [c8]Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips, Sara Taylor, Natasha Jaques, Elizabeth B. Klerman, Rosalind W. Picard:
Prediction of Happy-Sad mood from daily behaviors and previous sleep history. EMBC 2015: 6796-6799 - 2014
- [c7]Akane Sano, Rosalind W. Picard:
Understanding Ambulatory and Wearable Data for Health and Wellness. AAAI Spring Symposia 2014 - [c6]Akane Sano, Rosalind W. Picard:
Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data. EMBC 2014: 930-933 - [c5]Sky Tien-Yun Huang, Chloe Mun Yee Kwan, Akane Sano:
The moment: a mobile tool for people with depression or bipolar disorder. UbiComp Adjunct 2014: 235-238 - 2013
- [c4]Akane Sano, Rosalind W. Picard:
Stress Recognition Using Wearable Sensors and Mobile Phones. ACII 2013: 671-676 - [c3]Akane Sano, Rosalind W. Picard:
Recognition of sleep dependent memory consolidation with multi-modal sensor data. BSN 2013: 1-4 - 2012
- [c2]Akane Sano, Javier Hernandez, Jean Deprey, Micah Eckhardt, Matthew S. Goodwin, Rosalind W. Picard:
Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders. UbiComp 2012: 737-740 - 2011
- [c1]Akane Sano, Rosalind W. Picard:
Toward a taxonomy of autonomic sleep patterns with electrodermal activity. EMBC 2011: 777-780
Coauthor Index
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