Pattern avoidance in forests of binary shrubs. - David I. Bevan; Derek Levin; Peter Nugent; Jay Pantone; Lara Pudwell; Manda Riehl; M. L. Tlachac (Discret. Math. Theor. Comput. Sci., 2016)

CASSIA: An assistant for identifying clinically and statistically significant decreases in antimicrobial susceptibility. - M. L. Tlachac; Elke A. Rundensteiner; Kerri Barton; Scott Troppy; Kirthana Beaulac; Shira Doron; Jian Zou (BHI, 2018)

Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data. - M. L. Tlachac; Elke A. Rundensteiner; Kerri Barton; Scott Troppy; Kirthana Beaulac; Shira Doron (HEALTHINF, 2018)

Predictive Modeling of Emerging Antibiotic Resistance Trends. - M. L. Tlachac; Elke A. Rundensteiner; T. Scott Troppy; Kirthana Beaulac; Shira Doron; Kerri Barton (BIOSTEC (Selected Papers), 2018)

Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives. - Susmitha Wunnava; Xiao Qin 003; Tabassum Kakar; M. L. Tlachac; Xiangnan Kong; Elke A. Rundensteiner; Sanjay K. Sahoo; Suranjan De (BIOSTEC (Selected Papers), 2018)

You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression. - M. L. Tlachac; Ermal Toto; Elke A. Rundensteiner (BHI, 2019)

Depression Screening from Text Message Reply Latency. - M. L. Tlachac; Elke A. Rundensteiner (EMBC, 2020)

Anomalous Antimicrobial Susceptibility Trend Identification*. - M. L. Tlachac; Elke A. Rundensteiner; Kerri Barton; T. Scott Troppy; Kirthana Beaulac; Shira Doron (EMBC, 2020)

Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. - M. L. Tlachac; Adam Sargent; Ermal Toto; Randy C. Paffenroth; Elke A. Rundensteiner (ICMLA, 2020)

Audio-based Depression Screening using Sliding Window Sub-clip Pooling. - Ermal Toto; M. L. Tlachac; Francis Lee Stevens; Elke A. Rundensteiner (ICMLA, 2020)

Screening For Depression With Retrospectively Harvested Private Versus Public Text. - M. L. Tlachac; Elke A. Rundensteiner (IEEE J. Biomed. Health Informatics, 2020)

Screening for Suicidal Ideation with Text Messages. - M. L. Tlachac; Katherine Dixon-Gordon; Elke A. Rundensteiner (BHI, 2021)

Mobile Depression Screening with Time Series of Text Logs and Call Logs. - M. L. Tlachac; Veronica Melican; Miranda Reisch; Elke A. Rundensteiner (BHI, 2021)

AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. - Ermal Toto; M. L. Tlachac; Elke A. Rundensteiner (CIKM, 2021)

Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. - Ricardo Flores; M. L. Tlachac; Ermal Toto; Elke A. Rundensteiner (ICMLA, 2021)

EMU: Early Mental Health Uncovering Framework and Dataset. - M. L. Tlachac; Ermal Toto; Joshua Lovering; Rimsha Kayastha; Nina Taurich; Elke A. Rundensteiner (ICMLA, 2021)

"Honestly I Never Really Thought About Adding a Description": Why Highly Engaged Tweets Are Inaccessible. - Mallak Alkhathlan; M. L. Tlachac; Lane Harrison; Elke A. Rundensteiner (INTERACT (1), 2021)

Improving Image Accessibility by Combining Haptic and Auditory Feedback. - Mallak Alkhathlan; M. L. Tlachac; Lane Harrison; Elke A. Rundensteiner (ASSETS, 2022)

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. - M. L. Tlachac; Walter Gerych; Kratika Agrawal; Benjamin Litterer; Nicholas Jurovich; Saitheeraj Thatigotla; Jidapa Thadajarassiri; Elke A. Rundensteiner (IEEE Big Data, 2022)

Ensembles of BERT for Depression Classification. - Saskia Senn; M. L. Tlachac; Ricardo Flores; Elke A. Rundensteiner (EMBC, 2022)

Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. - Ricardo Flores; M. L. Tlachac; Elke A. Rundensteiner (GoodIT, 2022)

Temporal Facial Features for Depression Screening. - Ricardo Flores; M. L. Tlachac; Avantika Shrestha; Elke A. Rundensteiner (UbiComp/ISWC Adjunct, 2022)

BERT Variants for Depression Screening with Typed and Transcribed Responses. - Avantika Shrestha; M. L. Tlachac; Ricardo Flores; Elke A. Rundensteiner (UbiComp/ISWC Adjunct, 2022)

Left on Read: Reply Latency for Anxiety & Depression Screening. - M. L. Tlachac; Samuel S. Ogden (UbiComp/ISWC Adjunct, 2022)

AudiFace: Multimodal Deep Learning for Depression Screening. - Ricardo Flores; M. L. Tlachac; Ermal Toto; Elke A. Rundensteiner (MLHC, 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)

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)

Multi-Task Learning Using Facial Features for Mental Health Screening. - Ricardo Flores; Avantika Shrestha; M. L. Tlachac; Elke A. Rundensteiner (IEEE Big Data, 2023)

Mobile Communication Log Time Series to Detect Depressive Symptoms. - M. L. Tlachac; Miranda Reisch; Michael V. Heinz (EMBC, 2023)

Haptic Auditory Feedback for Enhanced Image Description: A Study of User Preferences and Performance. - Mallak Alkhathlan; M. L. Tlachac; Elke A. Rundensteiner (INTERACT (1), 2023)

Automated Construction of Lexicons to Improve Depression Screening With Text Messages. - M. L. Tlachac; Avantika Shrestha; Mahum Shah; Benjamin Litterer; Elke A. Rundensteiner (IEEE J. Biomed. Health Informatics, 2023)

Screening Students for Stress Using Fitbit Data. - Rebecca Lopez; Avantika Shrestha; Kevin Hickey; Xingtong Guo; M. L. Tlachac; Shichao Liu; Elke A. Rundensteiner (IEEE Big Data, 2024)

Multi-task Learning with Pre-trained Language Models for Mental Illness Screening. - Avantika Shrestha; M. L. Tlachac; Ricardo Flores; Kevin Hickey; Elke A. Rundensteiner (IEEE Big Data, 2024)

Student Mental Health Screening with Text Message Metadata. - M. L. Tlachac; Samuel S. Ogden (ICMLA, 2024)

Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. - M. L. Tlachac; Michael V. Heinz; Miranda Reisch; Samuel S. Ogden (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Mental Health and Mobile Communication Profiles of Crowdsourced Participants. - M. L. Tlachac; Michael V. Heinz (IEEE J. Biomed. Health Informatics, 2024)

Bayesian Optimization With Tree Ensembles to Improve Depression Screening on Textual Datasets. - Tingting Zhao; M. L. Tlachac (IEEE Trans. Affect. Comput., 2025)

WavFace: A Multimodal Transformer-Based Model for Depression Screening. - Ricardo Flores; M. L. Tlachac; Avantika Shrestha; Elke A. Rundensteiner (IEEE J. Biomed. Health Informatics, 2025)

Voice Recordings from Short Mobile Sessions versus Clinical Interviews for Mental Illness Screening: A Comparative Study with Deep Transfer Learning. - M. L. Tlachac; Miranda Reisch; Avantika Shrestha; Ricardo Flores; Ermal Toto; Elke A. Rundensteiner (ACM Trans. Comput. Heal., 2025)