Akane Sano

Orcid: 0000-0003-4484-8946

According to our database1, Akane Sano authored at least 75 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

2023
Psychotic Relapse Prediction in Schizophrenia Patients Using A Personalized Mobile Sensing-Based Supervised Deep Learning Model.
IEEE J. Biomed. Health Informatics, July, 2023

Semi-Supervised Learning for Wearable-based Momentary Stress Detection in the Wild.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal.
CoRR, 2023

Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect.
CoRR, 2023

Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation.
Proceedings of the Machine Learning for Health, 2023

Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

8th International Workshop on Mental Health and Well-being: Sensing and Intervention.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Empowering Wearable Seizure Forecasting with Scheduled Sampling.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Mental State, Mood, and Emotion (Part 2).
IEEE Pervasive Comput., 2022

Mental State, Mood, and Emotion.
IEEE Pervasive Comput., 2022

Turning data into better mental health: Past, present, and future.
Frontiers Digit. Health, 2022

PiRL: Participant-Invariant Representation Learning for Healthcare.
CoRR, 2022

LEAVES: Learning Views for Time-Series Data in Contrastive Learning.
CoRR, 2022

Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning.
CoRR, 2022

Exploiting Social Graph Networks for Emotion Prediction.
CoRR, 2022

Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model.
CoRR, 2022

Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild.
CoRR, 2022

7th International Workshop on Mental Health and Well-being: Sensing and Intervention.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Bias Reducing Multitask Learning on Mental Health Prediction.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

Applied Affective Computing
ACM Books 41, ACM, ISBN: 978-1-4503-9593-9, 2022

2021
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales.
ACM Trans. Comput. Heal., 2021

Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes.
CoRR, 2021

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients.
CoRR, 2021

6th International Workshop on Mental Health and Well-being: Sensing and Intervention.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Health Label and Behavioral Feature Prediction Using Bayesian Hierarchical Vector Autoregression Models.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

Toward the Analysis of Office Workers' Mental Indicators Based on Wearable, Work Activity, and Weather Data.
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021

2020
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health.
IEEE Trans. Affect. Comput., 2020

Machine learning applications: reflections on mental health assessment and ethics.
Interactions, 2020

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., 2020

Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

5<sup><i>th</i></sup> international workshop on mental health and well-being: sensing and intervention.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Frequency-Dependent Light Stimulation Effects on Performance During Vigilance Tasks on a Laptop.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Forecasting stress, mood, and health from daytime physiology in office workers and students.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

Mobile Sensing of Alertness, Sleep, and Circadian Rhythm: Hardware & Software Platforms.
GetMobile Mob. Comput. Commun., 2019

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales.
CoRR, 2019

4<sup>th</sup> international workshop on mental health and well-being: sensing and intervention.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform.
Sensors, 2018

Modeling Cognitive Processes from Multimodal Signals.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

3rd International Workshop on Mental Health and Well-being: Sensing and Intervention.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
QuantifyMe: An Automated Single-Case Experimental Design Platform.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

Multimodal ambulatory sleep detection.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Designing opportune stress intervention delivery timing using multi-modal data.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

Stress measurement from tongue color imaging.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016
Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Neurotics Can't Focus: An <i>in situ</i> Study of Online Multitasking in the Workplace.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Automatic identification of artifacts in electrodermal activity data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Prediction of Happy-Sad mood from daily behaviors and previous sleep history.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Wavelet-based motion artifact removal for electrodermal activity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

HealthAware: An advice system for stress, sleep, diet and exercise.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

Stress is in the eye of the beholder.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

Predicting students' happiness from physiology, phone, mobility, and behavioral data.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014
The moment: a mobile tool for people with depression or bipolar disorder.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Understanding Ambulatory and Wearable Data for Health and Wellness.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Recognition of sleep dependent memory consolidation with multi-modal sensor data.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

Stress Recognition Using Wearable Sensors and Mobile Phones.
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012
Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011
Toward a taxonomy of autonomic sleep patterns with electrodermal activity.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


  Loading...