9 papers:
- CHI-2015-TsugawaKKNIO #process #twitter
- Recognizing Depression from Twitter Activity (ST, YK, FK, KN, YI, HO), pp. 3187–3196.
- CSCW-2015-ParkKLYJC #case study #facebook #network #social
- Manifestation of Depression and Loneliness on Social Networks: A Case Study of Young Adults on Facebook (SP, IK, SWL, JY, BJ, MC), pp. 557–570.
- CSCW-2014-ChoudhuryCHH #facebook #predict
- Characterizing and predicting postpartum depression from shared facebook data (MDC, SC, EH, AH), pp. 626–638.
- CSCW-2014-HomanLTLS #social
- Social structure and depression in TrevorSpace (CMH, NL, XT, MCL, VS), pp. 615–625.
- CHI-2013-YamashitaKHK #comprehension #product line
- Understanding the conflicting demands of family caregivers caring for depressed family members (NY, HK, KH, TK), pp. 2637–2646.
- CHI-2012-DohertyCS #health #online
- Engagement with online mental health interventions: an exploratory clinical study of a treatment for depression (GD, DC, JS), pp. 1421–1430.
- ICPR-2012-JoshiDGBP #analysis #classification
- Neural-net classification for spatio-temporal descriptor based depression analysis (JJ, AD, RG, MB, GP), pp. 2634–2638.
- ECIR-2009-TangHSGC
- Quality-Oriented Search for Depression Portals (TTT, DH, RSS, KG, NC), pp. 637–644.
- HCI-CC-1997-KuwakinoF #simulation
- Longitudinal Study of the Effect of Life and Work Events on Depressive Symptoms, Based on Computer Simulation (MK, YF), pp. 365–368.