M. L. Tlachac

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Cervical Cancer

Predicting Future

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

M. L. Tlachac, Michael Heinz, Miranda Reisch, Samuel S. Ogden
Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (1) (2024)
M. L. Tlachac, Avantika Shrestha, Mahum Shah, Benjamin Litterer, Elke A. Rundensteiner
Automated Construction of Lexicons to Improve Depression Screening With Text Messages. IEEE J. Biomed. Health Informatics 27 (6) (2023)
M. L. Tlachac, Miranda Reisch, Michael Heinz
Mobile Communication Log Time Series to Detect Depressive Symptoms. EMBC (2023)
Mallak Alkhathlan, M. L. Tlachac, Elke A. Rundensteiner
Haptic Auditory Feedback for Enhanced Image Description: A Study of User Preferences and Performance. INTERACT (1) (2023)
Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner
Multi-Task Learning Using Facial Features for Mental Health Screening. BigData (2023)
M. L. Tlachac, Samuel S. Ogden
Left on Read: Reply Latency for Anxiety & Depression Screening. UbiComp/ISWC Adjunct (2022)
M. L. Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke A. Rundensteiner
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. Big Data (2022)
Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner
BERT Variants for Depression Screening with Typed and Transcribed Responses. UbiComp/ISWC Adjunct (2022)
Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. GoodIT (2022)
Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner
Ensembles of BERT for Depression Classification. EMBC (2022)
M. L. Tlachac, Ricardo Flores, Miranda Reisch, Katie Houskeeper, Elke A. Rundensteiner
DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (2) (2022)
M. L. Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke A. Rundensteiner
StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (2) (2022)
Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner
AudiFace: Multimodal Deep Learning for Depression Screening. MLHC (2022)
Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner
Temporal Facial Features for Depression Screening. UbiComp/ISWC Adjunct (2022)
Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner
Improving Image Accessibility by Combining Haptic and Auditory Feedback. ASSETS (2022)
Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. CIKM (2021)
Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner
"Honestly I Never Really Thought About Adding a Description": Why Highly Engaged Tweets Are Inaccessible. INTERACT (1) (2021)
Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. ICMLA (2021)
M. L. Tlachac, Katherine Dixon-Gordon, Elke A. Rundensteiner
Screening for Suicidal Ideation with Text Messages. BHI (2021)
M. L. Tlachac, Veronica Melican, Miranda Reisch, Elke A. Rundensteiner
Mobile Depression Screening with Time Series of Text Logs and Call Logs. BHI (2021)
M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner
EMU: Early Mental Health Uncovering Framework and Dataset. ICMLA (2021)
Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner
Audio-based Depression Screening using Sliding Window Sub-clip Pooling. ICMLA (2020)
M. L. Tlachac, Elke A. Rundensteiner
Depression Screening from Text Message Reply Latency. EMBC (2020)
M. L. Tlachac, Elke A. Rundensteiner, Kerri Barton, T. Scott Troppy, Kirthana Beaulac, Shira Doron
. EMBC (2020)
M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. ICMLA (2020)
M. L. Tlachac, Elke A. Rundensteiner
Screening For Depression With Retrospectively Harvested Private Versus Public Text. IEEE J. Biomed. Health Informatics 24 (11) (2020)
M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner
You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression. BHI (2019)
M. L. Tlachac, Elke A. Rundensteiner, T. Scott Troppy, Kirthana Beaulac, Shira Doron, Kerri Barton
Predictive Modeling of Emerging Antibiotic Resistance Trends. BIOSTEC (Selected Papers) (2018)
M. L. Tlachac, Elke A. Rundensteiner, Kerri Barton, Scott Troppy, Kirthana Beaulac, Shira Doron
Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data. HEALTHINF (2018)
M. L. Tlachac, Elke A. Rundensteiner, Kerri Barton, Scott Troppy, Kirthana Beaulac, Shira Doron, Jian Zou
CASSIA: An assistant for identifying clinically and statistically significant decreases in antimicrobial susceptibility. BHI (2018)
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives. BIOSTEC (Selected Papers) (2018)
David I. Bevan, Derek Levin, Peter Nugent, Jay Pantone, Lara Pudwell, Manda Riehl, M. L. Tlachac
Pattern avoidance in forests of binary shrubs. Discret. Math. Theor. Comput. Sci. 18 (2) (2016)