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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) - [c28]Maria A. Cardei, Afsaneh Doryab:
Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams. ICCPS 2024: 277-278 - 2023
- [j13]Matthew Landers, Afsaneh Doryab
:
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
, Arash Tavakoli
, Alan Wang
, Navreet Kaur
, Laura E. Barnes
, Afsaneh Doryab
, Arsalan Heydarian
:
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. BuildSys@SenSys 2023: 413-420 - 2022
- [j12]Runze Yan
, Whitney R. Ringwald, Julio Vega
, Madeline Kehl, Sangwon Bae
, Anind K. Dey
, Carissa A. Low, Aidan G. C. Wright
, Afsaneh Doryab
:
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
, Afsaneh Doryab
:
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
, Xinwen Liu, Janine M. Dutcher
, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, J. David Creswell, Kasey G. Creswell, Jennifer Mankoff, Anind K. Dey, Afsaneh Doryab:
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, Yusheng Jiang, Tyler Lynch, Lauren Isabelle Manuel, Afsaneh Doryab:
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
, Yasaman S. Sefidgar, Woosuk Seo, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Afsaneh Doryab, Paula S. Nurius, Eve A. Riskin, Anind K. Dey, Jennifer Mankoff:
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
, Patraporn Leelaprachakul, Matthew Landers, Carissa A. Low, Anind K. Dey, Afsaneh Doryab:
Prediction of Hospital Readmission from Longitudinal Mobile Data Streams. Sensors 21(22): 7510 (2021) - [j6]Prerna Chikersal
, Afsaneh Doryab, Michael J. Tumminia, Daniella K. Villalba, Janine M. Dutcher
, Xinwen Liu, Sheldon Cohen, Kasey G. Creswell, Jennifer Mankoff, J. David Creswell, Mayank Goel, Anind K. Dey:
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, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab:
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
, Tiago João Vieira Guerreiro, Roisin McNaney, Kyle Montague, Alisha Pradhan, André Rodrigues
, Julio Vega:
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
, 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. 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, Tim Althoff, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Jennifer Mankoff, Anind K. Dey:
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
, Jordan Beck, Xiying Wang, Victoria Bellotti, Anind K. Dey, John M. Carroll:
Context-Aware Coproduction: Implications for Recommendation Algorithms. iConference 2019: 565-577 - [c14]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. 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
, Shuobi Wu, John M. Carroll, Anind K. Dey:
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
, Afsaneh Doryab:
Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions. CHI Extended Abstracts 2016: 609-620 - [c12]Hyunggu Jung
, Victoria Bellotti, Afsaneh Doryab, Dean Leitersdorf, Jiawei Chen, Benjamin V. Hanrahan, Sooyeon Lee, Daniel Turner, Anind K. Dey, John M. Carroll:
'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
, Jakob E. Bardram:
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
, Jason I. Hong
:
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
, Jakob E. Bardram:
Supporting disease insight through data analysis: refinements of the monarca self-assessment system. UbiComp 2013: 133-142 - [c8]Mads Frost, Jakob E. Bardram, Afsaneh Doryab:
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
, Jakob E. Bardram:
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, Afsaneh Doryab:
Activity analysis: applying activity theory to analyze complex work in hospitals. CSCW 2011: 455-464 - [c2]Jakob E. Bardram, Afsaneh Doryab, Rune Møller Jensen, Poul M. Lange, Kristian L. G. Nielsen, Soren T. Petersen:
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, Jonathan Bunde-Pedersen, Afsaneh Doryab, Steffen Sørensen:
CLINICAL SURFACES - Activity-Based Computing for Distributed Multi-Display Environments in Hospitals. INTERACT (2) 2009: 704-717
Coauthor Index
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