M. Tumminia

发表

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia, 2019, JMIR mHealth and uHealth.

Why do non-artists draw the eyes too far up the head? How vertical eye-drawing errors relate to schematic knowledge, pseudoneglect, and context-based perceptual biases.

Michael J. Tumminia, Aaron Kozbelt, M. Tumminia, 2016 .

Running head: BILATERAL EYE-MOVEMENTS The Impact of Bilateral Eye Movements on Frontal-Midline Theta

Michael J. Tumminia, J. Fleck, M. Tumminia, 2019 .

Lack of Belonging Predicts Depressive Symptomatology in College Students

Daniella K. Villalba, Janine M. Dutcher, Kasey G. Creswell, 2022, Psychological science.

Adolescents’ Experiences of Distress and Well-being During Intensive Mindfulness Practice: A Mixed-Methods Study

Michael J. Tumminia, S. DeVlieger, Brian M. Galla, 2022, Mindfulness.

How is Mindfulness Linked to Negative and Positive Affect? Rumination as an Explanatory Process in a Prospective Longitudinal Study of Adolescents

Michael J. Tumminia, Brian M. Galla, R. Roeser, 2020, Journal of Youth and Adolescence.

Changes in brain connectivity following exposure to bilateral eye movements

Michael J. Tumminia, J. Fleck, M. Tumminia, 2018, Brain and Cognition.

Leveraging Collaborative-Filtering for Personalized Behavior Modeling

Anind K. Dey, Eve A. Riskin, Prerna Chikersal, 2021, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

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

Anind K. Dey, Prerna Chikersal, Jennifer Mankoff, 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing

Anind K. Dey, Mayank Goel, Jennifer Mankoff, 2021, ACM Trans. Comput. Hum. Interact..

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

Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia, 2022, ACM Transactions on Intelligent Systems and Technology.

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

Anind K Dey, Jennifer Mankoff, Afsaneh Doryab, 2020, bioRxiv.