| 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 | 52 | 2022 |
| 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 | 27 | 2022 |
| 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 | 27 | 2022 |
| 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 | 16 | 2022 |
| 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 | 15 | 2022 |
| 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 | 14 | 2022 |
| 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 | 14 | 2022 |
| 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 | 13 | 2022 |
| 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 | 11 | 2021 |
| 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 | 11 | 2018 |
| Geoinformática o geomática: Origen y perspectivas E Flores, J Ernesto Geoenseñanza 1, 31-38, 1996 | 9 | 1996 |
| 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 | 8 | 2022 |
| Multi-task learning using facial features for mental health screening R Flores, A Shrestha, ML Tlachac, EA Rundensteiner 2023 IEEE International Conference on Big Data (BigData), 4881-4890, 2023 | 6 | 2023 |
| 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 | 4 | 2017 |
| The impact of the COVID-2019 pandemic on HCV testing and treatment in the United States M Hoenigl, FR AD, N Martin, N Reau Poster: American Association For The Study of Liver Diseases (AASLD).[Google …, 2021 | 2 | 2021 |
| El Sistema de la FAO para evaluación de tierras sustentado en sistemas de informacion geografica E Flores, A Parra Geoenseñanza, 187-199, 1998 | 2 | 1998 |
| WavFace: A Multimodal Transformer-based Model for Depression Screening R Flores, ML Tlachac, A Shrestha, EA Rundensteiner IEEE Journal of Biomedical and Health Informatics, 2025 | 1 | 2025 |
| The Housing price index for Chile: Methodology and Results R Flores, J Pérez ISI World Statistics Congress, Rio de Janeiro, 2015 | 1 | 2015 |
| Multi-task Learning with Pre-trained Language Models for Mental Illness Screening A Shrestha, ML Tlachac, R Flores, K Hickey, EA Rundensteiner 2024 IEEE International Conference on Big Data (BigData), 6142-6150, 2024 | | 2024 |
| 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 |
