| Audibert: A deep transfer learning multimodal classification framework for depression screening E Toto, ML Tlachac, EA Rundensteiner Proceedings of the 30th ACM international conference on information …, 2021 | 42 | 2021 |
| Screening for depression with retrospectively harvested private versus public text ML Tlachac, E Rundensteiner IEEE journal of biomedical and health informatics 24 (11), 3326-3332, 2020 | 42 | 2020 |
| 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 | 27 | 2022 |
| Depression screening from text message reply latency ML Tlachac, EA Rundensteiner 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 26 | 2020 |
| Audio-based depression screening using sliding window sub-clip pooling E Toto, ML Tlachac, FL Stevens, EA Rundensteiner 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 22 | 2020 |
| 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 | 19* | 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 | 19* | 2022 |
| Emu: Early mental health uncovering framework and dataset ML Tlachac, E Toto, J Lovering, R Kayastha, N Taurich, E Rundensteiner 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 19 | 2021 |
| You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression ML Tlachac, E Toto, E Rundensteiner 2019 IEEE EMBS International Conference on Biomedical Health Informatics …, 2019 | 17 | 2019 |
| Mobile depression screening with time series of text logs and call logs ML Tlachac, V Melican, M Reisch, E Rundensteiner 2021 IEEE EMBS international conference on biomedical and health informatics …, 2021 | 15 | 2021 |
| Screening for suicidal ideation with text messages ML Tlachac, K Dixon-Gordon, E Rundensteiner 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 15 | 2021 |
| Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data. ML Tlachac, EA Rundensteiner, K Barton, S Troppy, K Beaulac, S Doron HEALTHINF, 103-114, 2018 | 12 | 2018 |
| Topological data analysis to engineer features from audio signals for depression detection ML Tlachac, A Sargent, E Toto, R Paffenroth, E Rundensteiner 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 10* | 2020 |
| Pattern avoidance in forests of binary shrubs D Bevan, D Levin, P Nugent, J Pantone, L Pudwell, M Riehl, ML Tlachac Discrete Mathematics & Theoretical Computer Science 18 (Permutation Patterns), 2016 | 10 | 2016 |
| 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 | 9 | 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 | 9* | 2021 |
| “Honestly i never really thought about adding a description”: why highly engaged tweets are inaccessible M Alkhathlan, ML Tlachac, L Harrison, E Rundensteiner IFIP Conference on Human-Computer Interaction, 373-395, 2021 | 8 | 2021 |
| Text generation to aid depression detection: a comparative study of conditional sequence generative adversarial networks ML Tlachac, W Gerych, K Agrawal, B Litterer, N Jurovich, S Thatigotla, ... 2022 IEEE international conference on big data (big data), 2804-2813, 2022 | 7 | 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 | 7 | 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 | 7 | 2022 |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; WorcesterVerified email at wpi.edu
