DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task
2023 IEEE International Conference on Big Data (BigData)
Ricardo Flores, Avantika Shrestha, and Elke Rundensteiner
Publisher's website
Ricardo Flores, Avantika Shrestha, and Elke Rundensteiner
Multi-Task Learning Using Facial Features for Mental Health Screening
2023 IEEE International Conference on Big Data (BigData)
Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner
Publisher's website
Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner
Temporal Facial Features for Depression Screening
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) Mental Health: Sensing and Intervention, 2022
Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner
Publisher's website
Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner
BERT Variants for Depression Screening with Typed and Transcribed Responses
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) Computing for Well-being (WellComp), 2022
Avantika Shrestha, ML Tlachac, Ricardo Flores, and Elke Rundensteiner
Publisher's website
Avantika Shrestha, ML Tlachac, Ricardo Flores, and Elke Rundensteiner
Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation
Healthcare Analytics, Elsevier, 2022
ML Tlachac, Miranda Reisch, Brittany Lewis, Ricardo Flores, Lane Harrison, and Elke Rundensteiner
Publisher's website
ML Tlachac, Miranda Reisch, Brittany Lewis, Ricardo Flores, Lane Harrison, and Elke Rundensteiner
StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic
ACM Proceedings on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 6, no. 2, 2022
ML Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke Rundensteiner
Publisher's website
ML Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke Rundensteiner
Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings
Deep Learning Applications (DLAV), vol 4, Springer, 2023
ML Tlachac, Ricardo Flores, Ermal Toto, Elke A. Rundensteiner
Publisher's website
ML Tlachac, Ricardo Flores, Ermal Toto, Elke A. Rundensteiner
DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected During the COVID-19 Pandemic to Screen for Mental Illnesses
ACM Proceedings on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 6, no. 2, 2022.
ML Tlachac, Ricardo Flores, Miranda Reisch, Katie Housekeeper, Elke Rundensteiner
Publisher's website
ML Tlachac, Ricardo Flores, Miranda Reisch, Katie Housekeeper, Elke Rundensteiner
Ensembles of BERT for Depression Classification
44th International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), pp 4691-4694, 2022
Saskia Senn, ML Tlachac, Ricardo Flores, Elke A. Rundensteiner
Publisher's website
Saskia Senn, ML Tlachac, Ricardo Flores, Elke A. Rundensteiner
AudiFace: Multimodal Deep Learning for Depression Screening
Machine Learning for Healthcare, Accepted (acceptance: 37%), 2022
Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner
Publisher's website
Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner