Publications
You can also find my articles on my Google Scholar profile.
Journal Publications
Joanna Yau, Benjamin Girault, Tiantian Feng, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Kristina Lerman, Emilio Ferrara, Eric Hsieh, and Shrikanth Narayanan.
TILES-2019: A longitudinal physiological and behavioral data set of medical residents in an intensive care unit.
Sci Data, 9(536), 2022.
[data] [code]Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, and Shrikanth Narayanan.
Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction.
IEEE/ACM Transactions on Audio, Speech and Language Processing, 29:756–769, 2021.
[data]Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, and Theodora Chaspari.
Investigating Group-Specific Models of Hospital Workers’ Well-Being: Implications for Algorithmic Bias.
International Journal of Semantic Computing, 14(4):477-499, 2020.
[data]Karel Mundnich, Brandon M. Booth, Michelle L’Hommedieu, Tiantian Feng, Benjamin Girault, Justin L’Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Kristina Lerman, Emilio Ferrara, and Shrikanth Narayanan.
TILES-2018, a longitudinal behavioral and pyshiologic dataset of hospital workers.
Sci Data, 7(354), 2020.
[data] [code]Karel Mundnich, Brandon M. Booth, Benjamin Girault, and Shrikanth Narayanan.
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings.
Pattern Recognition Letters, 128:385–392, 2019.
[data] [code]Brandon M Booth∗, Karel Mundnich∗, Tiantian Feng∗, Amrutha Nadarajan, Tiago H. Falk, Jennifer L. Villatte, Emilio Ferrara, and Shrikanth Narayanan.
Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management.
J Med Internet Res, 21(8):e12832, Aug 2019.
∗ denotes equal contribution.Karel Mundnich and Marcos E. Orchard.
Early Online Detection of High Volatility Clusters using Particle Filters.
Expert Systems with Applications, 54:228–240, 2016.
This paper was the results of my Electrical Engineering thesis at U. de Chile.Karel Mundnich, Marcos E. Orchard, Jorge F. Silva, and Patricio Parada.
Volatility Estimation of Financial Returns using Risk-Sensitive Particle Filters.
Studies in Informatics and Control, 22(3):297–306, September 2013.Federico Flores, Roberto Rondanelli, Marcos Díaz, Richard Querel, Karel Mundnich, Luis Alberto Herrera, Daniel Pola, and Tomás Carricajo.
The Life Cycle of a Radiosonde.
Bulletin of the American Meteorological Society, 94(2):187–198, 2013.
Conference Publications (Peer-reviewed)
Karel Mundnich, Alexandra Fenster, Aparna Khare, and Shiva Sundaram.
Audiovisual highlight detection in videos.
In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, and Theodora Chaspari.
Group-specific models of healthcare workers’ well-being using iterative participant clustering.
In 2020 Second International Conference on Transdisciplinary AI (TransAI), pages 115–118. IEEE, 2020.
[data]George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, and Theodora Chaspari.
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions.
In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 284–287. IEEE, 2020.
[data]Jiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, and Shrikanth Narayanan.
Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse ultrasonic vocalizations.
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3432–3436, 2020.
[data] [code]Timothy Greer, Karel Mundnich, Matthew Sachs, and Shrikanth Narayanan.
The role of annotation fusion methods in the study of human-reported emotion experience during music listening.
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 776–780, 2020.Karel Mundnich, Benjamin Girault, and Shrikanth Narayanan.
Bluetooth based indoor localization using triplet embeddings.
In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 7570–7574, 2019.
[code]Brandon M. Booth, Karel Mundnich, and Shrikanth Narayanan.
Fusing Annotations with Majority Vote Triplet Embeddings.
In Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, AVEC’18, pages 83–89. ACM, 2018.
Winner of the AVEC 2018 Gold-standard Emotion sub-challenge.Brandon M. Booth, Karel Mundnich, and Shrikanth Narayanan.
A Novel Method for Human Bias Correction of Continuous-time Annotations.
In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3091–3095.
[data]Karel Mundnich, Md Nasir, Panayiotis Georgiou, and Shrikanth Narayanan.
Exploiting Intra-annotator Rating Consistency through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy.
In Proceedings of Interspeech 2017, pages 3167–3171, 2017.