Afsaneh Doryab

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Computational Framework

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Matthew Clark, Afsaneh Doryab
Changing Your Tune: Lessons for Using Music to Encourage Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (2) (2024)
Maria A. Cardei, Afsaneh Doryab
Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams. ICCPS (2024)
Jingyi Gao, Runze Yan, Afsaneh Doryab
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. ICMLA (2023)
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)
Matthew Landers, Afsaneh Doryab
Deep Reinforcement Learning Verification: A Survey. ACM Comput. Surv. 55 (14s) (2023)
Matthew Clark, Afsaneh Doryab
Sounds of Health: Using Personalized Sonification Models to Communicate Health Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (4) (2022)
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) (2022)
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 (2022)
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)
Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab
Detection of Racial Bias from Physiological Responses. AHFE (17) (2021)
Mingyi Cai, Runze Yan, Afsaneh Doryab
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree. ICICT (2) (2021)
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 (2021)
Sudhir Shenoy, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab
Adaptive Humanoid Robots for Pain Management in Children. HRI (Companion) (2021)
Diogo Branco, Patrick Carrington, Silvia Del Din, Afsaneh Doryab, Hristijan Gjoreski, Tiago 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)
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)
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) (2021)
Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab
Detection of Racial Bias from Physiological Responses. CoRR (2021)
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) (2021)
Runze Yan, Afsaneh Doryab
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. CoRR (2021)
Runze Yan, Afsaneh Doryab
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. IntelliSys (3) (2021)
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) (2021)
Afsaneh Doryab
Critical thinking of mobile sensing for health. XRDS 28 (1) (2021)
Xi Chen, Afsaneh Doryab
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract). AAAI (2020)
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. CoRR (2020)
Afsaneh Doryab
A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams. HealthDL@MobiSys (2020)
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. IHCI (1) (2020)
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 (2020)
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) (2019)
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)
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 (2019)
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) (2019)
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)
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 (2018)
Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu, Anind K. Dey
Extraction of Behavioral Features from Smartphone and Wearable Data. CoRR (2018)
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) (2017)
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)
AC BD, Christine Bauer, Afsaneh Doryab
Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions. CHI Extended Abstracts (2016)
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) (2015)
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)
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) (2014)
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)
Mads Frost, Jakob E. Bardram, Afsaneh Doryab
Disease insights through analysis: Using machine learning to provide feedback in the MONARCA system. PervasiveHealth (2013)
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)
Afsaneh Doryab, Julian Togelius
Activity recognition in collaborative environments. IJCNN (2012)
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)
Afsaneh Doryab, Julian Togelius, Jakob E. Bardram
Activity-aware recommendation for collaborative work in operating rooms. IUI (2012)
Jakob E. Bardram, Afsaneh Doryab, Rune M. Jensen, Poul M. Lange, Kristian L. G. Nielsen, Soren T. Petersen
Phase recognition during surgical procedures using embedded and body-worn sensors. PerCom (2011)
Jakob E. Bardram, Afsaneh Doryab
Activity analysis: applying activity theory to analyze complex work in hospitals. CSCW (2011)
Afsaneh Doryab, Jakob E. Bardram
Designing activity-aware recommender systems for operating rooms. CaRR@IUI (2011)
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)