Afsaneh Doryab

According to our database, Afsaneh Doryab authored at least 44 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Reinforcement Learning Verification: A Survey.

Matthew Landers, Afsaneh Doryab

ACM Comput. Surv., 2023

Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring.

Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics.

Jingyi Gao, Runze Yan, Afsaneh Doryab

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams.

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

ACM Trans. Intell. Syst. Technol., 2022

Sounds of Health: Using Personalized Sonification Models to Communicate Health Information.

Matthew Clark, Afsaneh Doryab

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior.

Runze Yan, Whitney R. Ringwald, Julio Vega, Madeline Kehl, Sangwon Bae, Anind K. Dey, Carissa A. Low, Aidan G. C. Wright, Afsaneh Doryab

Future Gener. Comput. Syst., 2022

A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots.

Sudhir Shenoy, Yusheng Jiang, Tyler Lynch, Lauren Isabelle Manuel, Afsaneh Doryab

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021

Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection.

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

ACM Trans. Comput. Hum. Interact., 2021

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams.

Chen Qian, Patraporn Leelaprachakul, Matthew Landers, Carissa A. Low, Anind K. Dey, Afsaneh Doryab

Sensors, 2021

Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students.

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Critical thinking of mobile sensing for health.

Afsaneh Doryab

XRDS, 2021

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams.

Runze Yan, Afsaneh Doryab

Proceedings of the Intelligent Systems and Applications, 2021

Understanding Health and Behavioral Trends of Successful Students Through Machine Learning Models.

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

Proceedings of the Human Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET, 2021

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree.

Mingyi Cai, Runze Yan, Afsaneh Doryab

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments.

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

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Adaptive Humanoid Robots for Pain Management in Children.

Sudhir Shenoy, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab

Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

Detection of Racial Bias from Physiological Responses.

Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021

2020

Can Smartphone Co-locations Detect Friendship? It Depends How You Model It.

Momin M. Malik, Afsaneh Doryab, Michael Merrill, Jürgen Pfeffer, Anind K. Dey

CoRR, 2020

A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams.

Afsaneh Doryab

Proceedings of the HealthDL@MobiSys 2020, 2020

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.

Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab

Proceedings of the Intelligent Human Computer Interaction, 2020

Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract).

Xi Chen, Afsaneh Doryab

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students.

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Modeling Biobehavioral Rhythms with Passive Sensing in the Wild: A Case Study to Predict Readmission Risk after Pancreatic Surgery.

Afsaneh Doryab, Anind K. Dey, Grace Kao, Carissa A. Low

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game.

Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Context-Aware Coproduction: Implications for Recommendation Algorithms.

Jiawei Chen, Afsaneh Doryab, Benjamin V. Hanrahan, Alaaeddine Yousfi, Jordan Beck, Xiying Wang, Victoria Bellotti, Anind K. Dey, John M. Carroll

Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

2018

Extraction of Behavioral Features from Smartphone and Wearable Data.

Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu, Anind K. Dey

CoRR, 2018

The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting.

Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso

CoRR, 2018

2017

If It's Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations.

Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M. Carroll, Anind K. Dey

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

2016

'MASTerful' Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories.

Hyunggu Jung, Victoria Bellotti, Afsaneh Doryab, Dean Leitersdorf, Jiawei Chen, Benjamin V. Hanrahan, Sooyeon Lee, Daniel Turner, Anind K. Dey, John M. Carroll

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions.

AC BD, Christine Bauer, Afsaneh Doryab

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome.

Afsaneh Doryab, Mads Frost, Maria Faurholt-Jepsen, Lars Vedel Kessing, Jakob E. Bardram

Pers. Ubiquitous Comput., 2015

2014

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing.

Nicholas D. Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury

Mob. Networks Appl., 2014

Toss 'n' turn: smartphone as sleep and sleep quality detector.

Jun-Ki Min, Afsaneh Doryab, Jason Wiese, Shahriyar Amini, John Zimmerman, Jason I. Hong

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Detection of Behavior Change in People with Depression.

Afsaneh Doryab, Jun-Ki Min, Jason Wiese, John Zimmerman, Jason I. Hong

Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014

2013

Disease insights through analysis: Using machine learning to provide feedback in the MONARCA system.

Mads Frost, Jakob E. Bardram, Afsaneh Doryab

Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

Supporting disease insight through data analysis: refinements of the monarca self-assessment system.

Mads Frost, Afsaneh Doryab, Maria Faurholt-Jepsen, Lars Vedel Kessing, Jakob E. Bardram

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization.

Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury

Proceedings of the Wireless Health 2012, 2012

Activity-aware recommendation for collaborative work in operating rooms.

Afsaneh Doryab, Julian Togelius, Jakob E. Bardram

Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

Activity recognition in collaborative environments.

Afsaneh Doryab, Julian Togelius

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Activity-Based Computing - Metaphors and Technologies for Distributed User Interfaces.

Jakob E. Bardram, Afsaneh Doryab, Sofiane Gueddana

Proceedings of the Distributed User Interfaces, 2011

Phase recognition during surgical procedures using embedded and body-worn sensors.

Jakob E. Bardram, Afsaneh Doryab, Rune Møller Jensen, Poul M. Lange, Kristian L. G. Nielsen, Soren T. Petersen

Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

Activity analysis: applying activity theory to analyze complex work in hospitals.

Jakob E. Bardram, Afsaneh Doryab

Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work, 2011

Designing activity-aware recommender systems for operating rooms.

Afsaneh Doryab, Jakob E. Bardram

Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation, 2011

2009

CLINICAL SURFACES - Activity-Based Computing for Distributed Multi-Display Environments in Hospitals.

Jakob E. Bardram, Jonathan Bunde-Pedersen, Afsaneh Doryab, Steffen Sørensen

Proceedings of the Human-Computer Interaction, 2009