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M. L. Tlachac

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2020 – today

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2024
[j6]
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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): 19:1-19:28 (2024)
2023
[j5]
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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): 2751-2759 (2023)
[c26]
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Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner:
Multi-Task Learning Using Facial Features for Mental Health Screening. IEEE Big Data 2023: 4881-4890
[c25]
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M. L. Tlachac, Miranda Reisch, Michael Heinz:
Mobile Communication Log Time Series to Detect Depressive Symptoms. EMBC 2023: 1-4
[c24]
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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: 224-246
2022
[j4]
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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): 75:1-75:32 (2022)
[j3]
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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): 76:1-76:32 (2022)
[c23]
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Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner:
Improving Image Accessibility by Combining Haptic and Auditory Feedback. ASSETS 2022: 56:1-56:6
[c22]
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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. IEEE Big Data 2022: 2804-2813
[c21]
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Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner:
Ensembles of BERT for Depression Classification. EMBC 2022: 4691-4694
[c20]
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Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner:
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. GoodIT 2022: 103-109
[c19]
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Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner:
BERT Variants for Depression Screening with Typed and Transcribed Responses. UbiComp/ISWC Adjunct 2022: 211-215
[c18]
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Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner:
Temporal Facial Features for Depression Screening. UbiComp/ISWC Adjunct 2022: 488-493
[c17]
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M. L. Tlachac, Samuel S. Ogden:
Left on Read: Reply Latency for Anxiety & Depression Screening. UbiComp/ISWC Adjunct 2022: 500-502
[c16]
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Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
AudiFace: Multimodal Deep Learning for Depression Screening. MLHC 2022: 609-630
2021
[c15]
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M. L. Tlachac, Katherine Dixon-Gordon, Elke A. Rundensteiner:
Screening for Suicidal Ideation with Text Messages. BHI 2021: 1-4
[c14]
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M. L. Tlachac, Veronica Melican, Miranda Reisch, Elke A. Rundensteiner:
Mobile Depression Screening with Time Series of Text Logs and Call Logs. BHI 2021: 1-4
[c13]
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Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner:
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. CIKM 2021: 4145-4154
[c12]
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Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. ICMLA 2021: 595-600
[c11]
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M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner:
EMU: Early Mental Health Uncovering Framework and Dataset. ICMLA 2021: 1311-1318
[c10]
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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: 373-395
2020
[j2]
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M. L. Tlachac, Elke A. Rundensteiner:
Screening For Depression With Retrospectively Harvested Private Versus Public Text. IEEE J. Biomed. Health Informatics 24(11): 3326-3332 (2020)
[c9]
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M. L. Tlachac, Elke A. Rundensteiner:
Depression Screening from Text Message Reply Latency. EMBC 2020: 5490-5493
[c8]
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M. L. Tlachac, Elke A. Rundensteiner, Kerri Barton, T. Scott Troppy, Kirthana Beaulac, Shira Doron:
Anomalous Antimicrobial Susceptibility Trend Identification^*. EMBC 2020: 5880-5883
[c7]
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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: 302-307
[c6]
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Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner:
Audio-based Depression Screening using Sliding Window Sub-clip Pooling. ICMLA 2020: 791-796

2010 – 2019

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2019
[c5]
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M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression. BHI 2019: 1-4
2018
[c4]
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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: 389-392
[c3]
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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: 103-114
[c2]
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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: 348-366
[c1]
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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: 420-446
2016
[j1]
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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)

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