CLINICAL SURFACES - Activity-Based Computing for Distributed Multi-Display Environments in Hospitals. - Jakob E. Bardram; Jonathan Bunde-Pedersen; Afsaneh Doryab; Steffen Sørensen (INTERACT (2), 2009)

Designing activity-aware recommender systems for operating rooms. - Afsaneh Doryab; Jakob E. Bardram (CaRR@IUI, 2011)

Activity analysis: applying activity theory to analyze complex work in hospitals. - Jakob E. Bardram; Afsaneh Doryab (CSCW, 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 (PerCom, 2011)

Activity-Based Computing - Metaphors and Technologies for Distributed User Interfaces. - Jakob E. Bardram; Afsaneh Doryab; Sofiane Gueddana (Distributed User Interfaces, 2011)

Activity recognition in collaborative environments. - Afsaneh Doryab; Julian Togelius (IJCNN, 2012)

Activity-aware recommendation for collaborative work in operating rooms. - Afsaneh Doryab; Julian Togelius; Jakob E. Bardram (IUI, 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 006; Giuseppe Cardone; Shahid Ali; Afsaneh Doryab; Ethan Berke; Andrew T. Campbell; Tanzeem Choudhury (Wireless Health, 2012)

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 (UbiComp, 2013)

Disease insights through analysis: Using machine learning to provide feedback in the MONARCA system. - Mads Frost; Jakob E. Bardram; Afsaneh Doryab (PervasiveHealth, 2013)

Detection of Behavior Change in People with Depression. - Afsaneh Doryab; Jun-Ki Min; Jason Wiese; John Zimmerman; Jason I. Hong (AAAI Workshop: Modern Artificial Intelligence for Health Analytics, 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 (CHI, 2014)

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing. - Nicholas D. Lane; Mu Lin; Mashfiqui Mohammod; Xiaochao Yang; Hong Lu 006; Giuseppe Cardone; Shahid Ali; Afsaneh Doryab; Ethan Berke; Andrew T. Campbell; Tanzeem Choudhury (Mob. Networks Appl., 2014)

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)

Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions. - AC BD; Christine Bauer 001; Afsaneh Doryab (CHI Extended Abstracts, 2016)

'MASTerful' Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories. - Hyunggu Jung; Victoria Bellotti; Afsaneh Doryab; Dean Leitersdorf; Jiawei Chen 003; Benjamin V. Hanrahan; Sooyeon Lee; Daniel Turner; Anind K. Dey; John M. Carroll 001 (CHI, 2016)

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 001; Anind K. Dey (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

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 001; Manuela M. Veloso (CoRR, 2018)

Extraction of Behavioral Features from Smartphone and Wearable Data. - Afsaneh Doryab; Prerna Chikarsel; Xinwen Liu 004; Anind K. Dey (CoRR, 2018)

Context-Aware Coproduction: Implications for Recommendation Algorithms. - Jiawei Chen 003; Afsaneh Doryab; Benjamin V. Hanrahan; Alaaeddine Yousfi; Jordan Beck; Xiying Wang 001; Victoria Bellotti; Anind K. Dey; John M. Carroll 001 (iConference, 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 001; Manuela Veloso (RO-MAN, 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)

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)

Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract). - Xi Chen; Afsaneh Doryab (AAAI, 2020)

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. - Mehrdad Fazli; Kamran Kowsari; Erfaneh Gharavi; Laura E. Barnes; Afsaneh Doryab (IHCI (1), 2020)

A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams. - Afsaneh Doryab (HealthDL@MobiSys, 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)

Detection of Racial Bias from Physiological Responses. - Fateme Nikseresht; Runze Yan; Rachel Lew; Yingzheng Liu; Rose M. Sebastian; Afsaneh Doryab (AHFE (17), 2021)

Adaptive Humanoid Robots for Pain Management in Children. - Sudhir Shenoy; Yueyue Hou; Xinran Wang; Fateme Nikseresht; Afsaneh Doryab (HRI (Companion), 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 002; Julio Vega (UbiComp/ISWC Adjunct, 2021)

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree. - Mingyi Cai; Runze Yan; Afsaneh Doryab (ICICT (2), 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 (IHIET (Strasbourg), 2021)

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. - Runze Yan; Afsaneh Doryab (IntelliSys (3), 2021)

Critical thinking of mobile sensing for health. - Afsaneh Doryab (XRDS, 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; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams. - Chen Qian 007; Patraporn Leelaprachakul; Matthew Landers; Carissa A. Low; Anind K. Dey; Afsaneh Doryab (Sensors, 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 004; Sheldon Cohen; Kasey G. Creswell; Jennifer Mankoff; J. David Creswell; Mayank Goel; Anind K. Dey (ACM Trans. Comput. Hum. Interact., 2021)

A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots. - Sudhir Shenoy; Yusheng Jiang; Tyler Lynch; Lauren Isabelle Manuel; Afsaneh Doryab (RO-MAN, 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 001; Anind K. Dey; Carissa A. Low; Aidan G. C. Wright; Afsaneh Doryab (Future Gener. Comput. Syst., 2022)

Sounds of Health: Using Personalized Sonification Models to Communicate Health Information. - Matthew Clark; Afsaneh Doryab (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams. - Runze Yan; Xinwen Liu 004; 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)

Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. - Jingyi Gao; Runze Yan; Afsaneh Doryab (ICMLA, 2023)

Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. - Beatrice Li; Arash Tavakoli; Alan Wang 002; Navreet Kaur 001; Laura E. Barnes; Afsaneh Doryab; Arsalan Heydarian (BuildSys, 2023)

Deep Reinforcement Learning Verification: A Survey. - Matthew Landers; Afsaneh Doryab (ACM Comput. Surv., 2023)

Towards Smartphone-Based Monitoring of Micronutrient Status. - Andrew Balch; Afsaneh Doryab (BCB, 2024)

Practical Heuristics for Victim Tagging During a Mass Casualty Incident Emergency Medical Response. - Maria Ana Cardei; Afsaneh Doryab (CASE, 2024)

Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams. - Maria A. Cardei; Afsaneh Doryab (ICCPS, 2024)

Feasibility of Smartphones for Accessible, Noninvasive Micronutrient Assessment. - Andrew Balch; Afsaneh Doryab (MobiCom, 2024)

Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques. - Andrew Balch; Maria A. Cardei; Sibylle Kranz; Afsaneh Doryab (CoRR, 2024)

Exploring Smartphone-based Spectrophotometry for Nutrient Identification and Quantification. - Andrew Balch; Maria A. Cardei; Afsaneh Doryab (CoRR, 2024)

Offline Reinforcement Learning With Combinatorial Action Spaces. - Matthew Landers; Taylor W. Killian; Hugo Barnes; Thomas Hartvigsen; Afsaneh Doryab (CoRR, 2024)

Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis. - Maria A. Cardei; Sabit Ahmed; Gretchen Chapman; Afsaneh Doryab (CoRR, 2024)

Changing Your Tune: Lessons for Using Music to Encourage Physical Activity. - Matthew Clark; Afsaneh Doryab (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Enabling Meaningful Communication Through Personalization. - Matthew Clark; Afsaneh Doryab (PerCom Workshops, 2025)

Characterization and Feasibility of Wearable Spectroscopic Tracking of Nutrition Biomarkers. - Tarek Hamid; Elizabeth C. Courtney; Patricia Flores; Jane Byun; Afsaneh Doryab; Sibylle Kranz; Amanda Watson (IEEE Pervasive Comput., 2025)

Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging. - Maria Ana Cardei; Afsaneh Doryab (CoRR, 2025)

SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies. - Matthew Landers; Taylor W. Killian; Thomas Hartvigsen; Afsaneh Doryab (CoRR, 2025)