Ricardo Flores

According to our database, Ricardo Flores authored at least 11 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multi-Task Learning Using Facial Features for Mental Health Screening.

Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2023

DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task.

Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2023

2022

StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic.

M. L. Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke A. Rundensteiner

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses.

M. L. Tlachac, Ricardo Flores, Miranda Reisch, Katie Houskeeper, Elke A. Rundensteiner

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

AudiFace: Multimodal Deep Learning for Depression Screening.

Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner

Proceedings of the Machine Learning for Healthcare Conference, 2022

BERT Variants for Depression Screening with Typed and Transcribed Responses.

Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Temporal Facial Features for Depression Screening.

Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning.

Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner

Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Ensembles of BERT for Depression Classification.

Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews.

Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2009

Serious Games for Immersive Cultural Training: Creating a Living World.

Marjorie A. Zielke, Monica J. Evans, Frank Dufour, Timothy V. Christopher, Jumanne K. Donahue, Phillip Johnson, Erin B. Jennings, Brent S. Friedman, Phonesury L. Ounekeo, Ricardo Flores

IEEE Computer Graphics and Applications, 2009