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2025
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
Maria Ana Cardei, Afsaneh Doryab
arXiv
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04 Mar 2025
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arXiv:2503.00684
2024
Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
Andrew Balch
arXiv
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10 Dec 2024
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arXiv:2405.18461
Exploring Smartphone-based Spectrophotometry for Nutrient Identification and Quantification
Andrew Balch, Maria A. Cardei, Afsaneh Doryab
arXiv
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17 Oct 2024
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arXiv:2410.11027
Creating Emotion-Evoking Music to Communicate Wellness for Users with Diverse Musical Backgrounds
Jason Donald Chin, Matthew Clark, Afsaneh Doryab
Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing
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05 Oct 2024
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doi:10.1145/3675094.3678495
Practical Heuristics for Victim Tagging During a Mass Casualty Incident Emergency Medical Response
Maria Ana Cardei, Afsaneh Doryab
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
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28 Aug 2024
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doi:10.1109/CASE59546.2024.10711469
Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques
Andrew Balch, Maria A. Cardei, Sibylle Kranz, Afsaneh Doryab
arXiv
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26 Aug 2024
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arXiv:2408.11877
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling
Tahsin Mullick, Sam Shaaban, Ana Radovic, Afsaneh Doryab
JMIR AI
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20 May 2024
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doi:10.2196/47805
Changing Your Tune: Lessons for Using Music to Encourage Physical Activity
Matthew Clark, Afsaneh Doryab
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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13 May 2024
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doi:10.1145/3659611
Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams
Maria A. Cardei, Afsaneh Doryab
2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)
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13 May 2024
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doi:10.1109/ICCPS61052.2024.00034
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
JMIR AI
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18 Apr 2024
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doi:10.2196/47194
2023
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
Jingyi Gao, Runze Yan, Afsaneh Doryab
2023 International Conference on Machine Learning and Applications (ICMLA)
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15 Dec 2023
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doi:10.1109/ICMLA58977.2023.00045
Personalization in Circadian Rhythm-Based Event Scheduling
Prachi Sadekar, Jackson Baitinger, Sean Conway, Matthew Clark, Afsaneh Doryab
2023 Systems and Information Engineering Design Symposium (SIEDS)
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27 Apr 2023
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doi:10.1109/SIEDS58326.2023.10137806
2022
Sounds of Health
Matthew Clark, Afsaneh Doryab
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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21 Dec 2022
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doi:10.1145/3570346
A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots
Sudhir Shenoy, Yusheng Jiang, Tyler Lynch, Lauren Isabelle Manuel, Afsaneh Doryab
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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29 Aug 2022
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10.1109/RO-MAN53752.2022.9900581
Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study
Tahsin Mullick, Ana Radovic, Sam Shaaban, Afsaneh Doryab
JMIR Formative Research
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24 Jun 2022
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doi:10.2196/35807
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Runze Yan, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind Dey, Afsaneh Doryab
ACM Transactions on Intelligent Systems and Technology
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03 Mar 2022
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doi:10.1145/3510029
2021
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree
Mingyi Cai, Runze Yan, Afsaneh Doryab
Lecture Notes in Networks and Systems
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17 Sep 2021
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doi:10.1007/978-981-16-2380-6_29
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Runze Yan, Afsaneh Doryab
Lecture Notes in Networks and Systems
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07 Aug 2021
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doi:10.1007/978-3-030-82199-9_44
An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data
Anna Bonaquist, Meredith Grehan, Owen Haines, Joseph Keogh, Tahsin Mullick, Neil Singh, Sam Shaaban, Ana Radovic, Afsaneh Doryab
2021 Systems and Information Engineering Design Symposium (SIEDS)
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30 Apr 2021
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doi:10.1109/SIEDS52267.2021.9483755
Adaptive Humanoid Robots for Pain Management in Children
Sudhir Shenoy, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
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08 Mar 2021
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doi:10.1145/3434074.3447224
2020
CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
Cold Spring Harbor Laboratory
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10 Aug 2020
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doi:10.1101/2020.08.10.244020
Modeling Biological Rhythms to Predict Mental and Physical Readiness
Ben Carper, Dillon McGowan, Samantha Miller, Joe Nelson, Leah Palombi, Lina Romeo, Kayla Spigelman, Afsaneh Doryab
2020 Systems and Information Engineering Design Symposium (SIEDS)
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01 Apr 2020
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doi:10.1109/SIEDS49339.2020.9106683
2019
Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, …, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey
JMIR mHealth and uHealth
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24 Jul 2019
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doi:10.2196/13209
Modeling Biobehavioral Rhythms with Passive Sensing in the Wild
Afsaneh Doryab, Anind K. Dey, Grace Kao, Carissa Low
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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29 Mar 2019
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doi:10.1145/3314395