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Ricardo Flores
Ricardo Flores
Verified email at wpi.edu - Homepage
Title
Cited by
Cited by
Year
Hmong healing practices used for common childhood illnesses
P Nuttall, FC Flores
Pediatric Nursing 23 (3), 247-254, 1997
331997
Ensembles of bert for depression classification
S Senn, ML Tlachac, R Flores, E Rundensteiner
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
212022
DepreST-CAT: Retrospective smartphone call and text logs collected during the covid-19 pandemic to screen for mental illnesses
ML Tlachac, R Flores, M Reisch, K Houskeeper, EA Rundensteiner
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
162022
StudentSADD: Rapid mobile depression and suicidal ideation screening of college students during the coronavirus pandemic
ML Tlachac, R Flores, M Reisch, R Kayastha, N Taurich, V Melican, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
152022
Early mental health uncovering with short scripted and unscripted voice recordings
ML Tlachac, R Flores, E Toto, E Rundensteiner
Deep Learning Applications, Volume 4, 79-110, 2022
92022
Transfer learning for depression screening from follow-up clinical interview questions
R Flores, ML Tlachac, E Toto, E Rundensteiner
Deep Learning Applications, Volume 4, 53-78, 2022
62022
Temporal facial features for depression screening
R Flores, ML Tlachac, A Shrestha, E Rundensteiner
Adjunct Proceedings of the 2022 ACM International Joint Conference on …, 2022
62022
Valoración de la tierra de uso residencial y su contribución al valor de mercado de la vivienda en Chile
R Flores, J Pérez, F Uribe
Economic Statistics Series, 2018
62018
Impact assessment of stereotype threat on mobile depression screening using Bayesian estimation
ML Tlachac, M Reisch, B Lewis, R Flores, L Harrison, E Rundensteiner
Healthcare Analytics 2, 100088, 2022
52022
AudiFace: Multimodal Deep Learning for Depression Screening
R Flores, ML Tlachac, E Toto, E Rundensteiner
Proceedings of Machine Learning Research, Machine Learning for Healthcare (MLHC), 2022
52022
Depression screening using deep learning on follow-up questions in clinical interviews
R Flores, ML Tlachac, E Toto, EA Rundensteiner
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
52021
A Bayesian quantile binary regression approach to estimate payments for environmental services
FV Lavín, R Flores, V Ibarnegaray
Environment and development economics 22 (2), 156-176, 2017
42017
Bert variants for depression screening with typed and transcribed responses
A Shrestha, ML Tlachac, R Flores, EA Rundensteiner
Adjunct Proceedings of the 2022 ACM International Joint Conference on …, 2022
22022
The impact of the COVID-19 pandemic on HCV testing and treatment in the United States
M Hoenigl, D Abramovitz, R Flores, N Martin, N Reau
Hepatology, 557A-558A, 2021
22021
Multi-Task Learning Using Facial Features for Mental Health Screening
R Flores, A Shrestha, M Tlachac, EA Rundensteiner
2023 IEEE International Conference on Big Data (BigData), 4881-4890, 2023
12023
The Housing price index for Chile: Methodology and Results
R Flores, J Pérez
ISI World Statistics Congress, Rio de Janeiro, 2015
12015
DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task
R Flores, A Shrestha, EA Rundensteiner
2023 IEEE International Conference on Big Data (BigData), 5213-5222, 2023
2023
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning
R Flores, ML Tlachac, EA Rundensteiner
Proceedings of the 2022 ACM Conference on Information Technology for Social …, 2022
2022
Un método bayesiano para la distribución de la disposición a pagar
RF Huenchullanca
Revista Chilena de Economía y Sociedad 11 (1), 31-38, 2017
2017
THE OTHER AND HIS DOUBLE-INTERVIEWS WITH ALLAIN, MARIE-FRANCOISE-FRENCH-GREENE, G
R FLORES
WORLD LITERATURE TODAY 56 (3), 519-520, 1982
1982
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