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Afsaneh Doryab
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2020 – today
- 2024
- [j14]Matthew Clark
, Afsaneh Doryab
Changing Your Tune: Lessons for Using Music to Encourage Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 79:1-79:24 (2024) - [c29]Maria Ana Cardei, Afsaneh Doryab:
Practical Heuristics for Victim Tagging During a Mass Casualty Incident Emergency Medical Response. CASE 2024: 165-172 - [c28]Maria A. Cardei, Afsaneh Doryab:
Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams. ICCPS 2024: 277-278 - [i9]Andrew Balch
Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques. CoRR abs/2408.11877 (2024) - 2023
- [j13]Matthew Landers
Deep Reinforcement Learning Verification: A Survey. ACM Comput. Surv. 55(14s): 330:1-330:31 (2023) - [c27]Jingyi Gao, Runze Yan, Afsaneh Doryab:
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. ICMLA 2023: 271-278 - [c26]Beatrice Li
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. BuildSys@SenSys 2023: 413-420 - 2022
- [j12]Runze Yan
Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior. Future Gener. Comput. Syst. 132: 266-281 (2022) - [j11]Matthew Clark
Sounds of Health: Using Personalized Sonification Models to Communicate Health Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 206:1-206:31 (2022) - [j10]Runze Yan
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams. ACM Trans. Intell. Syst. Technol. 13(3): 47:1-47:27 (2022) - [c25]Sudhir Shenoy
A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots. RO-MAN 2022: 912-919 - 2021
- [j9]Afsaneh Doryab:
Critical thinking of mobile sensing for health. XRDS 28(1): 34-37 (2021) - [j8]Xuhai Xu, Prerna Chikersal, Janine M. Dutcher
Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 41:1-41:27 (2021) - [j7]Chen Qian
Prediction of Hospital Readmission from Longitudinal Mobile Data Streams. Sensors 21(22): 7510 (2021) - [j6]Prerna Chikersal
Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection. ACM Trans. Comput. Hum. Interact. 28(1): 3:1-3:41 (2021) - [c24]Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab:
Detection of Racial Bias from Physiological Responses. AHFE (17) 2021: 59-66 - [c23]Sudhir Shenoy
Adaptive Humanoid Robots for Pain Management in Children. HRI (Companion) 2021: 510-514 - [c22]Diogo Branco, Patrick Carrington, Silvia Del Din, Afsaneh Doryab, Hristijan Gjoreski
Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments. UbiComp/ISWC Adjunct 2021: 508-510 - [c21]Mingyi Cai, Runze Yan, Afsaneh Doryab:
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree. ICICT (2) 2021: 333-343 - [c20]Abigale Kim, Fateme Nikseresht, Janine M. Dutcher
Understanding Health and Behavioral Trends of Successful Students Through Machine Learning Models. IHIET (Strasbourg) 2021: 516-525 - [c19]Runze Yan, Afsaneh Doryab:
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. IntelliSys (3) 2021: 643-661 - [e1]Afsaneh Doryab, Qin Lv, Michael Beigl:
UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-25, 2021. ACM 2021, ISBN 978-1-4503-8461-2 [contents] - [i8]Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab:
Detection of Racial Bias from Physiological Responses. CoRR abs/2102.01287 (2021) - [i7]Abigale Kim, Fateme Nikseresht, Janine M. Dutcher, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey Creswel, J. David Creswell, Anind K. Dey, Jennifer Mankoff, Afsaneh Doryab:
Understanding health and behavioral trends of successful students through machine learning models. CoRR abs/2102.04212 (2021) - [i6]Runze Yan, Afsaneh Doryab:
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. CoRR abs/2109.06177 (2021) - 2020
- [c18]Xi Chen, Afsaneh Doryab:
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract). AAAI 2020: 13767-13768 - [c17]Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab:
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. IHCI (1) 2020: 48-58 - [c16]Afsaneh Doryab:
A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams. HealthDL@MobiSys 2020: 18 - [i5]Momin M. Malik, Afsaneh Doryab, Michael Merrill, Jürgen Pfeffer, Anind K. Dey:
Can Smartphone Co-locations Detect Friendship? It Depends How You Model It. CoRR abs/2008.02919 (2020) - [i4]Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab:
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. CoRR abs/2010.16052 (2020)
2010 – 2019
- 2019
- [j5]Afsaneh Doryab, Anind K. Dey, Grace Kao, Carissa A. Low:
Modeling Biobehavioral Rhythms with Passive Sensing in the Wild: A Case Study to Predict Readmission Risk after Pancreatic Surgery. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 8:1-8:21 (2019) - [j4]Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 116:1-116:33 (2019) - [c15]Jiawei Chen, Afsaneh Doryab, Benjamin V. Hanrahan, Alaaeddine Yousfi
Context-Aware Coproduction: Implications for Recommendation Algorithms. iConference 2019: 565-577 - [c14]Aaron M. Roth, Samantha Reig
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN 2019: 1-8 - [i3]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR abs/1910.11459 (2019) - 2018
- [i2]Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso:
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR abs/1806.03671 (2018) - [i1]Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu, Anind K. Dey:
Extraction of Behavioral Features from Smartphone and Wearable Data. CoRR abs/1812.10394 (2018) - 2017
- [j3]Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi
If It's Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 48:1-48:28 (2017) - 2016
- [c13]AC BD, Christine Bauer
Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions. CHI Extended Abstracts 2016: 609-620 - [c12]Hyunggu Jung
'MASTerful' Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories. CHI 2016: 1644-1655 - 2015
- [j2]Afsaneh Doryab, Mads Frost, Maria Faurholt-Jepsen, Lars Vedel Kessing
Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome. Pers. Ubiquitous Comput. 19(2): 355-365 (2015) - 2014
- [j1]Nicholas D. Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury:
BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing. Mob. Networks Appl. 19(3): 345-359 (2014) - [c11]Afsaneh Doryab, Jun-Ki Min, Jason Wiese, John Zimmerman, Jason I. Hong:
Detection of Behavior Change in People with Depression. AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014 - [c10]Jun-Ki Min, Afsaneh Doryab, Jason Wiese, Shahriyar Amini, John Zimmerman
Toss 'n' turn: smartphone as sleep and sleep quality detector. CHI 2014: 477-486 - 2013
- [c9]Mads Frost, Afsaneh Doryab, Maria Faurholt-Jepsen, Lars Vedel Kessing
Supporting disease insight through data analysis: refinements of the monarca self-assessment system. UbiComp 2013: 133-142 - [c8]Mads Frost, Jakob E. Bardram
Disease insights through analysis: Using machine learning to provide feedback in the MONARCA system. PervasiveHealth 2013: 315-316 - 2012
- [c7]Afsaneh Doryab, Julian Togelius
Activity recognition in collaborative environments. IJCNN 2012: 1-8 - [c6]Afsaneh Doryab, Julian Togelius
Activity-aware recommendation for collaborative work in operating rooms. IUI 2012: 301-304 - [c5]Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury:
BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. Wireless Health 2012: 10:1-10:8 - 2011
- [c4]Afsaneh Doryab, Jakob E. Bardram
Designing activity-aware recommender systems for operating rooms. CaRR@IUI 2011: 43-46 - [c3]Jakob E. Bardram
Activity analysis: applying activity theory to analyze complex work in hospitals. CSCW 2011: 455-464 - [c2]Jakob E. Bardram
Phase recognition during surgical procedures using embedded and body-worn sensors. PerCom 2011: 45-53 - [p1]Jakob E. Bardram, Afsaneh Doryab, Sofiane Gueddana:
Activity-Based Computing - Metaphors and Technologies for Distributed User Interfaces. Distributed User Interfaces 2011: 67-74
2000 – 2009
- 2009
- [c1]Jakob E. Bardram
CLINICAL SURFACES - Activity-Based Computing for Distributed Multi-Display Environments in Hospitals. INTERACT (2) 2009: 704-717
Coauthor Index
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last updated on 2024-11-08 21:28 CET by the dblp team
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