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© 2019 by Asma Ghandeharioun.

Publications

(This list is most probably out of date. Check-out my google scholar page instead!)

2018

2017

2016

2015

2014

2013

2012

A. Saeedi, M. D. Hoffman, S. J. DiVerdi, A. Ghandeharioun, M. J. Johnson, R. P. Adams. (2018). Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models. AISTATS 2018, to appear.

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A. Ghandeharioun, S. Fedor, L. Sangermano, D. Ionescu, J. Alpert, C. Dale, D. Sontag, R. Picard. 2017. Objective assessment of depressive symptoms with machine learning and wearable sensors data, In Proc. Affective Computing and Intelligent Interaction (ACII), October 2017.

E. Howe, A. Ghandeharioun, P. Pedrelli, D. Mischoulon, R. Picard, S. Fedor. 2017. Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study, Association for Behavioral and Cognitive Therapies Annual Convention –Tech SIG, San Diego, CA, November 2017.

P. Pedrelli, E. Howe, D. Mischoulon, R. Picard, A. Ghandeharioun, S. Fedor. 2017. Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use, Connected Health Conference, Boston, MA, October 2017.

A. Ghandeharioun, R. Picard. BrightBeat: Effortlessly influencing breathing for cultivating calmness and focus, Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2017.
A. Ghandeharioun, S. Fedor, L. Sangermano, J. Alpert, C. Dale, D. Ionescu, R. Picard. Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study. APS 2017, Boston, May 2017.
A. Ghandeharioun, L. Sangermano, R. Picard, J. Alpert, C. Dale, D. Ionescu, S. Fedor. Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study. ADAA 2017, San Fransisco, April 2017.
L. Sangermano, A. Ghandeharioun, R. Picard, J. Alpert, C. Dale, S. Fedor, D. Ionescu. Incoming Cell Phone Data as a Potential Predictor of Depression Severity: A Pilot Study. ADAA 2017, San Fransisco, April 2017.


A. Ghandeharioun. BrightBeat: Effortlessly influencing breathing for cultivating calmness and focus, MIT master's thesis, Aug 2016.

A. Ghandeharioun, A. Azaria , S. Taylor, R. Picard. "Kind and Grateful": A context-sensitive smartphone app utilizing inspirational content to promote gratitude, Psychology of Well-Being Journal, Positive Computing special issue, Jul 2016, Vol. 6, Issue 9.
A. Ghandeharioun, A. Azaria , S. Taylor, P. Maes, R. Picard. Promoting kindness and gratitude with a smartphone and triggers, Annals of Behavioral Medicine 50 (Supplement 1), 266.

 

N. Jaques, S. Taylor, A. Azaria, A. Ghandeharioun, A. Sano, R. Picard, 2015. Predicting students’ happiness from physiology, phone, mobility, and behavioral data, In Proc. Affective Computing and Intelligent Interaction (ACII), Xi’an, China.

A. Saeedi, A. Ghandeharioun, M. Hoffman, 2015. A simple hierarchical infinite HMM with efficient inference, Bayesian Nonparametrics: The Next Generation, NIPS 2015 Workshop, Montreal, Canada.

 

A. Ghandeharioun. Dr. Tick: An Android Application for Measuring Heart Rate and Respiratory Rate on Smart Phones, June 2014, Bachelor’s Thesis.

 

R. Alizadehsani , J. Habibi, M. J. Hosseini, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, B. Bahadorian, Z. A. Sani, 2012. A Data Mining Approach for Diagnosis of Coronary Artery Disease, Computer Methods and Programs in Biomedicine, Vol. 111, No. 1 (2013), pp. 52-61.

R. Alizadehsani , J. Habibi, Z. A. Sani, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, F. Khozeimeh, F. Alizadeh-Sani. Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features, Res Cardiovasc Med J, Vol. 2, No. 3 (2013).

A. Ghandeharioun, P. Pu, Some Features in Designing Better Wellness Promotion Technologies, technical report, Sept. 2013.

A. Ghandeharioun, A. Loya, P. Pu. Apply Persuasion Technologies to Promote Wellness: Some Empirical Studies, manuscript, Sept. 2013.

 

R. Alizadehsani, M.J. Hosseini , Z.A. Sani, A. Ghandeharioun, R. Boghrati, 2012. Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms, Workshop on Biological Data Mining and its Applications in Healthcare (BioDM 2012), in conjuction with the 12th IEEE International Conference on Data Mining (ICDM 2012), pp. 9-16, Brussels, Belguim.

R. Alizadehsani, J. Habibi, B. Bahadorian, H. Mashayekhi, A. Ghandeharioun, R. Boghrati, Z.A. Sani, 2012. Diagnosis of Coronary Arteries Stenosis Using Data Mining, Journal of Medical Signals and Sensors, Vol. 2, No. 3 (2012), pp. 57-65.

R. Alizadehsani, J. Habibi, Z.A. Sani , H. Mashayekhi, R. Boghrati, A. Ghandeharioun, B. Bahadorian, 2012. Diagnosis of Coronary Artery Disease Using Data mining based on Lab Data and Echo Features, Journal of Medical and Bioengineering (JOMB), Vol. 1, No. 1 (2012), pp. 26-29. (This paper was recognized as the outstanding paper submitted to International Conference on Chemical Enviornment, Biomedical, and Biotechnology and therefore published in JOMB.)

R. Alizadehsani, M. J. Hosseini, R. Boghrati, A. Ghandeharioun, F. Khozeimeh, Z. A. Sani. Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), Vol. 3, No. 1 (2012), pp. 59-79.

R. Alizadehsani, J. Habibi, M. J. Hosseini, R. Boghrati, A. Ghandeharioun, B. Bahadorian, Z.A. Sani. Diagnosis of Coronary Artery Disease Using Data Mining Techniques Based on Symptoms and ECG Features, European Journal of Scientific Research, Vol. 82, No. 4 (2012), pp. 542-553.