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Akane Sano
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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) - [i21]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) - [i20]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) - [i19]Zeyu Yang, Peikun Guo, Khadija Zanna, Akane Sano:
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. CoRR abs/2404.08254 (2024) - [i18]Han Yu, Peikun Guo, Akane Sano:
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis. CoRR abs/2405.11124 (2024) - [i17]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) - 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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