Ricardo Flores H.

Líneas de Investigación

AI
Data Science
Multimodal
Mental Health
Deep Learning for Healthcare

Publicaciones más relevantes

– DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task
2023 IEEE International Conference on Big Data (BigData)
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

– 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

– 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

– 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