Items listed include presentations presented at conferences attended by Bryant's Information Systems and Analytics Department faculty. Prior to the spring of 2023, this department was known as the Computer Information Systems Department. Publications and research are from the previous and current departments and begin in 2013 and extend to the present.

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Submissions from 2026

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Student Mental Health: Screening for Stress, Anxiety and Depression Using Fitbit Data, Rebecca Lopez, Avantika Shrestha, ML Tlachac, Kevin Hickey, Xingting Guo, Shichao Liu, and Elke Rundensteiner

Submissions from 2024

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Screening Students for Stress Using Fitbit Data, Rebecca Lopez, Avantika Shrestha, Kevin Hickey, Xingtong Guo, ML Tlachac, and Shichao Liu

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Multi-Task Learning with Pre-Trained Language Models for Mental Illness Screening, Avantika Shrestha, ML Tlachac, Ricardo Flores, Kevin Hickey, and Elke Rundensteiner

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Student Mental Health Screening with Text Message Metadata, ML Tlachac and Samuel S. Ogden

Submissions from 2023

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Haptic Auditory Feedback for Enhanced Image Description: A Study of User Preferences and Performance, Mallak Alkhathlan, ML Tlachac, and Elke Rundensteiner

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Multi-Task Learning Using Facial Features for Mental Health Screening, Ricardo Flroes, Avantika Shrestha, ML Tlachac, and Elke Rudensteiner

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Mobile Communication Log Time Series to Detect Depressive Symptoms, ML Tlachac, Miranda Reisch, and Michael Heinz

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On Teaching Multi-Criteria Decision Making with a Robot Assistant, Chen Zhang, Hakan Saraoglu, and David A. Louton

Submissions from 2022

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Stereotype Threat Impact on Mobile Depression Screening, ML Tlachac

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Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks, ML Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, and Saitheeraj Thatigotla

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Text Reply Latencies for Mental Illness Screening, ML Tlachac and Samuel S. Ogden

Submissions from 2021

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Introduction to the Minitrack on Data Analytics, Data Mining and Machine Learning for Social Media, Jeffry S. Babb, Kevin D. Mentzer, and David J. Yates

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Bracketology: Predicting Winners from Music March Madness, Kevin Mentzer, Zachary Galante, and Mark Frydenberg

Submissions from 2019

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Realtime Object Detection via Deep Learning-based Pipelines, James G. Shanahan and Liang Dai

Submissions from 2018

Social Media Platforms, Social Capital, and Idea Co-creation: Towards a Theory of Social Ideation, Pratyush Bharati, Kai Du, Abhijit Chauhury, and Narendra M. Agrawal

Can Ego Defense Mechanism Help Explain IS Security Dysfunctional Behavior, Abhijit Chaudhury and Debasish Mallick

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An Empirical Investigation Of Information Technology Mediated Customer Services In China, Jianhua Xiao and Suhong Li

Submissions from 2013

Organizational and Institutional Arrangements for E-Government: A Preliminary Report on Contemporary IT Management Approaches in US State Governments, M. Lynne Markus, Dax D. Jacobson, Quang Neo Bui, Kevin Mentzer, and Olivier Lisein