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M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training

https://doi.org/10.1145/3659591
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58568-6_36openalex-snapshot
Curriculum Manager for Source Selection in Multi-source Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-03647-2_7openalex-snapshot
Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors
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Deep CORAL: Correlation Alignment for Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/s10994-021-05946-3openalex-snapshot
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
inferredcites →https://doi.org/10.1016/j.neucom.2018.03.067openalex-snapshot
Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package)
inferredcites →https://doi.org/10.1016/j.neuroimage.2019.03.026openalex-snapshot
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
inferredcites →https://doi.org/10.1016/j.pmcj.2021.101477openalex-snapshot
ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning
inferredcites →https://doi.org/10.1038/s41597-022-01643-5openalex-snapshot
A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices
inferredcites →https://doi.org/10.1038/s41598-021-93087-xopenalex-snapshot
Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples
inferredcites →https://doi.org/10.1109/access.2019.2949697openalex-snapshot
Self-Supervised Domain Adaptation for Computer Vision Tasks
inferredcites →https://doi.org/10.1109/access.2020.3045935openalex-snapshot
Smartphone Sensing for the Well-Being of Young Adults: A Review
inferredcites →https://doi.org/10.1109/access.2021.3085502openalex-snapshot
A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques
inferredcites →https://doi.org/10.1109/access.2022.3179702openalex-snapshot
Sensing Eating Events in Context: A Smartphone-Only Approach
inferredcites →https://doi.org/10.1109/comst.2014.2381246openalex-snapshot
Context-Awareness for Mobile Sensing: A Survey and Future Directions
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00400openalex-snapshot
Collaborative and Adversarial Network for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2019.00503openalex-snapshot
Contrastive Adaptation Network for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/icassp.2018.8461423openalex-snapshot
Unsupervised Domain Adaptation via Domain Adversarial Training for Speaker Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00149openalex-snapshot
Moment Matching for Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot
A survey of mobile phone sensing
inferredcites →https://doi.org/10.1109/tits.2005.848368openalex-snapshot
Detecting Stress During Real-World Driving Tasks Using Physiological Sensors
inferredcites →https://doi.org/10.1109/tmc.2018.2797901openalex-snapshot
DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones
inferredcites →https://doi.org/10.1109/tpami.2018.2814042openalex-snapshot
Beyond Sharing Weights for Deep Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2022.3195549openalex-snapshot
Domain Generalization: A Survey
inferredcites →https://doi.org/10.1109/wacv48630.2021.00017openalex-snapshot
Self-Supervised Learning for Domain Adaptation on Point Clouds
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1136/bjsports-2018-099643openalex-snapshot
How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies
inferredcites →https://doi.org/10.1145/1864349.1864396openalex-snapshot
Using wearable activity type detection to improve physical activity energy expenditure estimation
inferredcites →https://doi.org/10.1145/3038912.3052618openalex-snapshot
Mobile Sensing at the Service of Mental Well-being
inferredcites →https://doi.org/10.1145/3329189.3329213openalex-snapshot
Passive mobile sensing and psychological traits for large scale mood prediction
inferredcites →https://doi.org/10.1145/3341162.3345609openalex-snapshot
Unsupervised domain adaptation for robust sensory systems
inferredcites →https://doi.org/10.1145/3343031.3350957openalex-snapshot
Inferring Mood Instability via Smartphone Sensing
inferredcites →https://doi.org/10.1145/3351233openalex-snapshot
Prediction of Mood Instability with Passive Sensing
inferredcites →https://doi.org/10.1145/3380985openalex-snapshot
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition
inferredcites →https://doi.org/10.1145/3404482openalex-snapshot
A Survey on Energy Expenditure Estimation Using Wearable Devices
inferredcites →https://doi.org/10.1145/3428361.3428463openalex-snapshot
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
inferredcites →https://doi.org/10.1145/3428361.3428468openalex-snapshot
Protecting Mobile Food Diaries from Getting too Personal
inferredcites →https://doi.org/10.1145/3432220openalex-snapshot
Evaluating the Reproducibility of Physiological Stress Detection Models
inferredcites →https://doi.org/10.1145/3448120openalex-snapshot
One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports
inferredcites →https://doi.org/10.1145/3461702.3462595openalex-snapshot
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
inferredcites →https://doi.org/10.1145/3544548.3581190openalex-snapshot
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
inferredcites →https://doi.org/10.1145/3544794openalex-snapshot
Proceedings of the 2022 ACM International Symposium on Wearable Computers
inferredcites →https://doi.org/10.1145/3569483openalex-snapshot
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models
inferredcites →https://doi.org/10.1145/3569485openalex-snapshot
GLOBEM
inferredcites →https://doi.org/10.1145/3577190.3614129openalex-snapshot
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
inferredcites →https://doi.org/10.1145/3579623openalex-snapshot
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display
inferredcites →https://doi.org/10.1145/3596256openalex-snapshot
DAPPER
inferredcites →https://doi.org/10.1145/3600211.3604688openalex-snapshot
Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores
inferredcites →https://doi.org/10.1145/3613904.3642444openalex-snapshot
Learning About Social Context From Smartphone Data: Generalization Across Countries and Daily Life Moments
inferredcites →https://doi.org/10.1145/3631452openalex-snapshot
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones
inferredcites →https://doi.org/10.1371/journal.pone.0266516openalex-snapshot
Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies
inferredcites →https://doi.org/10.15436/2378-6841.16.1123openalex-snapshot
USE OF CONSUMER WEARABLE DEVICES TO PROMOTE PHYSICAL ACTIVITY: A REVIEW OF HEALTH INTERVENTION STUDIES
inferredcites →https://doi.org/10.1609/aaai.v35i13.17416openalex-snapshot
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
inferredcites →https://doi.org/10.2307/2283959openalex-snapshot
Statistical Power Analysis for the Behavioral Sciences.
inferredcites →https://doi.org/10.3390/s19030521openalex-snapshot
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
inferredcites →https://doi.org/10.3390/s23094436openalex-snapshot
Unsupervised Domain Adaptation for Image Classification and Object Detection Using Guided Transfer Learning Approach and JS Divergence

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
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Evaluating Deep Learning Sepsis Prediction Models in ICUs Under Distribution Shift: A Multi-Centre Retrospective Cohort Study
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00011openalex-snapshot
From Detection to Forecasting: An Empirical Study of College Student Mental Health Using Smartphone Sensing
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VibraHealth: Pervasive Health Sensing via Speech-Evoked Multimodal Biosignals
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A Topic-Guided Self-Attention Network for Daily Mental Wellbeing Prediction Using Mobile Devices
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Toward Edge General Intelligence With Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration
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Earable and Wrist-worn Setup for Accurate Step Counting Utilizing Body-Area Electrostatic Sensing
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On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface
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A Reproducible Stress Prediction Pipeline with Mobile Sensor Data
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Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition
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Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare
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FatigueSense: Multi-Device and Multimodal Wearable Sensing for Detecting Mental Fatigue
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DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling
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DiversityOne Open Challenge: Exploring People's Everyday Life Behavior with Mobile Data
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A Lightweight Edge-Centric Chewing Sensing System with Multimodal Biosignal Fusion for Oral Health Monitoring
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Blue Mondays and Happy Meals: Investigating the Impact of Contextual Factors on Mood States
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PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
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High-Order Moments Conditional Domain Adaptation Networks for Wearable Human Activity Recognition
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Human Heterogeneity Invariant Stress Sensing
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Leveraging Smartphone Human Interaction Routine Behavior Task Mining and Modeling for Daily Stress Monitoring
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Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors
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MACRA: Efficient Knowledge Sharing among Personalized Models against Label Shift in Mobile AI Applications
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From Sensors to Insights: Measurement Quality Considerations for Sensor Studies in Everyday Contexts
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CrossShift: Quantifying Interpersonal Differences in Mobile Sensing for Mental Health
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ASAP: Acoustic-Semantic Alignment with Prototypes for Open-world Activity Recognition and Understanding on Glasses
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Cognitive Load or Timely Answers? Cognitive Effort Markers in Context-Aware EMA Sampling
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