Automatic Estimation of Perceived Sincerity from Spoken Language. - Brandon M. Booth; Rahul Gupta 001; Pavlos Papadopoulos; Ruchir Travadi; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Online Affect Tracking with Multimodal Kalman Filters. - Krishna Somandepalli; Rahul Gupta 001; Md. Nasir; Brandon M. Booth; Sungbok Lee; Shrikanth S. Narayanan (AVEC@ACM Multimedia, 2016)

Toward active and unobtrusive engagement assessment of distance learners. - Brandon M. Booth; Asem M. Ali; Shrikanth S. Narayanan; Ian Bennett; Aly A. Farag (ACII, 2017)

An Evaluation of EEG-based Metrics for Engagement Assessment of Distance Learners. - Brandon M. Booth; Taylor J. Seamans; Shrikanth S. Narayanan (EMBC, 2018)

A Novel Method for Human Bias Correction of Continuous- Time Annotations. - Brandon M. Booth; Karel Mundnich; Shrikanth S. Narayanan (ICASSP, 2018)

Fusing Annotations with Majority Vote Triplet Embeddings. - Brandon M. Booth; Karel Mundnich; Shrikanth S. Narayanan (AVEC@MM, 2018)

TILES audio recorder: an unobtrusive wearable solution to track audio activity. - Tiantian Feng; Amrutha Nadarajan; Colin Vaz; Brandon M. Booth; Shrikanth S. Narayanan (WearSys@MobiSys, 2018)

Trapezoidal Segmented Regression: A Novel Continuous-scale Real-time Annotation Approximation Algorithm. - Brandon M. Booth; Shrikanth S. Narayanan (ACII, 2019)

Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting. - Brandon M. Booth; Tiantian Feng; Abhishek Jangalwa; Shrikanth S. Narayanan (ICASSP, 2019)

Generating labels for regression of subjective constructs using triplet embeddings. - Karel Mundnich; Brandon M. Booth; Benjamin Girault; Shrikanth S. Narayanan (Pattern Recognit. Lett., 2019)

Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. - George Hadjiantonis; Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth Narayanan; Theodora Chaspari (EMBC, 2020)

Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-Produced Continuous Annotations. - Brandon M. Booth; Shrikanth S. Narayanan (ICASSP, 2020)

Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study. - Tiantian Feng; Brandon M. Booth; Shrikanth S. Narayanan (ICASSP, 2020)

Fifty Shades of Green: Towards a Robust Measure of Inter-annotator Agreement for Continuous Signals. - Brandon M. Booth; Shrikanth S. Narayanan (ICMI, 2020)

TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. - Karel Mundnich; Brandon M. Booth; Michelle L'Hommedieu; Tiantian Feng; Benjamin Girault; Justin L'Hommedieu; Mackenzie Wildman; Sophia Skaaden; Amrutha Nadarajan; Jennifer L. Villatte; Tiago H. Falk; Kristina Lerman; et al. (CoRR, 2020)

Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. - Vinesh Ravuri; Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth S. Narayanan; Theodora Chaspari (Int. J. Semantic Comput., 2020)

Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. - Brandon M. Booth; Louis Hickman; Shree Krishna Subburaj; Louis Tay; Sang Eun Woo; Sidney K. D'Mello (ICMI, 2021)

Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews. - Brandon M. Booth; Louis Hickman; Shree Krishna Subburaj; Louis Tay; Sang Eun Woo; Sidney K. D'Mello (IEEE Signal Process. Mag., 2021)

Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers. - Brandon M. Booth; Hana Vrzakova; Stephen M. Mattingly; Gonzalo J. Martínez; Louis Faust; Sidney K. D'Mello (IEEE Trans. Affect. Comput., 2022)

Recurrence Quantification Analysis of Eye Gaze Dynamics During Team Collaboration. - Robert G. Moulder; Brandon M. Booth; Angelina Abitino; Sidney D'Mello (LAK, 2023)

Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process. - Tiantian Feng; Brandon M. Booth; Shrikanth Narayanan (CoRR, 2023)

Affect Detection From Wearables in the "Real" Wild: Fact, Fantasy, or Somewhere In between? - Sidney K. D'Mello; Brandon M. Booth (IEEE Intell. Syst., 2023)

Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. - Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth S. Narayanan; Theodora Chaspari (Frontiers Digit. Health, 2023)

Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review. - Brandon M. Booth; Nigel Bosch; Sidney K. D'Mello (Proc. IEEE, 2023)

Human-tutor Coaching Technology (HTCT): Automated Discourse Analytics in a Coached Tutoring Model. - Brandon M. Booth; Jennifer Jacobs 002; Jeffrey B. Bush; Brent Milne; Tom Fischaber; Sidney K. D'Mello (LAK, 2024)

Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation. - Louis Hickman; Christopher Huynh; Jessica Gass; Brandon M. Booth; Jason Kuruzovich; Louis Tay (CoRR, 2024)

Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts. - Farshid Farzan; Israt Naiyer; Shaeekh Al Jahan; Brandon M. Booth (EDM, 2025)

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors. - Tiantian Feng; Brandon M. Booth; Karel Mundnich; Emily Zhou; Benjamin Girault; Kristina Lerman; Shrikanth Narayanan (CoRR, 2025)