Brandon M. Booth

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Mutual Dependency

Top Venues

Publications

Brandon M. Booth, Jennifer Jacobs, Jeffrey B. Bush, Brent Milne, Tom Fischaber, Sidney K. D'Mello
Human-tutor Coaching Technology (HTCT): Automated Discourse Analytics in a Coached Tutoring Model. LAK (2024)
Tiantian Feng, Brandon M. Booth, Shrikanth Narayanan
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process. CoRR (2023)
Brandon M. Booth, Nigel Bosch, Sidney K. D'Mello
Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review. Proc. IEEE 111 (10) (2023)
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay, Sang Eun Woo, Sidney K. D'Mello
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews. CoRR (2023)
Robert G. Moulder, Brandon M. Booth, Angelina Abitino, Sidney D'Mello
Recurrence Quantification Analysis of Eye Gaze Dynamics During Team Collaboration. LAK (2023)
Sidney K. D'Mello, Brandon M. Booth
Affect Detection From Wearables in the "Real" Wild: Fact, Fantasy, or Somewhere In between? IEEE Intell. Syst. 38 (1) (2023)
Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers Digit. Health 5 (2023)
Brandon M. Booth, Hana Vrzakova, Stephen M. Mattingly, Gonzalo J. Martínez, Louis Faust, Sidney K. D'Mello
Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers. IEEE Trans. Affect. Comput. 13 (4) (2022)
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay, Sang Eun Woo, Sidney K. D'Mello
Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. ICMI (2021)
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay, Sang Eun Woo, Sidney K. D'Mello
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews. IEEE Signal Process. Mag. 38 (6) (2021)
Brandon M. Booth, Shrikanth S. Narayanan
Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-Produced Continuous Annotations. ICASSP (2020)
Brandon M. Booth, Shrikanth S. Narayanan
Fifty Shades of Green: Towards a Robust Measure of Inter-annotator Agreement for Continuous Signals. ICMI (2020)
Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari
Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. Int. J. Semantic Comput. 14 (4) (2020)
George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. EMBC (2020)
Tiantian Feng, Brandon M. Booth, Shrikanth S. Narayanan
Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study. ICASSP (2020)
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, Emilio Ferrara, Shrikanth Narayanan
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. CoRR (2020)
Karel Mundnich, Brandon M. Booth, Benjamin Girault, Shrikanth S. Narayanan
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings. CoRR (2019)
Brandon M. Booth, Shrikanth S. Narayanan
Trapezoidal Segmented Regression: A Novel Continuous-scale Real-time Annotation Approximation Algorithm. ACII (2019)
Brandon M. Booth, Tiantian Feng, Abhishek Jangalwa, Shrikanth S. Narayanan
Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting. ICASSP (2019)
Karel Mundnich, Brandon M. Booth, Benjamin Girault, Shrikanth S. Narayanan
Generating labels for regression of subjective constructs using triplet embeddings. Pattern Recognit. Lett. 128 (2019)
Brandon M. Booth, Taylor J. Seamans, Shrikanth S. Narayanan
An Evaluation of EEG-based Metrics for Engagement Assessment of Distance Learners. EMBC (2018)
Tiantian Feng, Amrutha Nadarajan, Colin Vaz, Brandon M. Booth, Shrikanth S. Narayanan
TILES audio recorder: an unobtrusive wearable solution to track audio activity. WearSys@MobiSys (2018)
Brandon M. Booth, Karel Mundnich, Shrikanth S. Narayanan
Fusing Annotations with Majority Vote Triplet Embeddings. AVEC@MM (2018)
Brandon M. Booth, Karel Mundnich, Shrikanth S. Narayanan
A Novel Method for Human Bias Correction of Continuous- Time Annotations. ICASSP (2018)
Brandon M. Booth, Asem M. Ali, Shrikanth S. Narayanan, Ian Bennett, Aly A. Farag
Toward active and unobtrusive engagement assessment of distance learners. ACII (2017)
Krishna Somandepalli, Rahul Gupta, Md. Nasir, Brandon M. Booth, Sungbok Lee, Shrikanth S. Narayanan
Online Affect Tracking with Multimodal Kalman Filters. AVEC@ACM Multimedia (2016)
Brandon M. Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan
Automatic Estimation of Perceived Sincerity from Spoken Language. INTERSPEECH (2016)