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Theodora Chaspari
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Automated ergonomic risk monitoring using body-mounted sensors and machine learning
ND Nath, T Chaspari, AH Behzadan
Advanced Engineering Informatics 38, 514-526, 2018
1152018
Signal processing and machine learning for mental health research and clinical applications [perspectives]
D Bone, CC Lee, T Chaspari, J Gibson, S Narayanan
IEEE Signal Processing Magazine 34 (5), 196-195, 2017
1112017
A review of generalizable transfer learning in automatic emotion recognition
K Feng, T Chaspari
Frontiers in Computer Science 2, 9, 2020
732020
Sparse representation of electrodermal activity with knowledge-driven dictionaries
T Chaspari, A Tsiartas, LI Stein, SA Cermak, SS Narayanan
IEEE Transactions on Biomedical Engineering 62 (3), 960-971, 2014
542014
Pathological speech processing: State-of-the-art, current challenges, and future directions
R Gupta, T Chaspari, J Kim, N Kumar, D Bone, S Narayanan
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
522016
Using multimodal wearable technology to detect conflict among couples
AC Timmons, T Chaspari, SC Han, L Perrone, SS Narayanan, G Margolin
Computer 50 (3), 50-59, 2017
502017
New frontiers in ambulatory assessment: Big data methods for capturing couples’ emotions, vocalizations, and physiology in daily life
AC Timmons, BR Baucom, SC Han, L Perrone, T Chaspari, ...
Social Psychological and Personality Science 8 (5), 552-563, 2017
482017
Multi-band long-term signal variability features for robust voice activity detection.
A Tsiartas, T Chaspari, N Katsamanis, PK Ghosh, M Li, M Van Segbroeck, ...
Interspeech, 718-722, 2013
392013
Exploring individual differences of public speaking anxiety in real-life and virtual presentations
M Yadav, MN Sakib, EH Nirjhar, K Feng, AH Behzadan, T Chaspari
IEEE Transactions on Affective Computing 13 (3), 1168-1182, 2020
352020
Virtual reality interfaces and population-specific models to mitigate public speaking anxiety
M Yadav, MN Sakib, K Feng, T Chaspari, A Behzadan
2019 8th International Conference on Affective Computing and Intelligent …, 2019
342019
A call to action on assessing and mitigating bias in artificial intelligence applications for mental health
AC Timmons, JB Duong, N Simo Fiallo, T Lee, HPQ Vo, MW Ahle, ...
Perspectives on Psychological Science 18 (5), 1062-1096, 2023
332023
Capturing and quantifying emotional distress in the built environment
M Yadav, T Chaspari, J Kim, CR Ahn
Proceedings of the Workshop on Human-Habitat for Health (H3): Human-Habitat …, 2018
312018
Classifying language-related developmental disorders from speech cues: the promise and the potential confounds.
D Bone, T Chaspari, K Audhkhasi, J Gibson, A Tsiartas, M Van Segbroeck, ...
INTERSPEECH 182, 186, 2013
292013
Emotion classification of speech using modulation features
T Chaspari, D Dimitriadis, P Maragos
2014 22nd European Signal Processing Conference (EUSIPCO), 1552-1556, 2014
282014
Physiological data models to understand the effectiveness of drone operation training in immersive virtual reality
MN Sakib, T Chaspari, AH Behzadan
Journal of Computing in Civil Engineering 35 (1), 04020053, 2021
262021
Acoustic-prosodic, turn-taking, and language cues in child-psychologist interactions for varying social demand.
D Bone, CC Lee, T Chaspari, MP Black, ME Williams, S Lee, P Levitt, ...
INTERSPEECH, 2400-2404, 2013
262013
Machine learning-based irrigation control optimization
A Murthy, C Green, R Stoleru, S Bhunia, C Swanson, T Chaspari
Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019
242019
Quantifying EDA synchrony through joint sparse representation: a case-study of couples' interactions
T Chaspari, B Baucom, AC Timmons, A Tsiartas, LB Del Piero, ...
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
222015
Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments
J Kim, M Yadav, T Chaspari, CR Ahn
Advanced Engineering Informatics 43, 101035, 2020
212020
An attention-aware bidirectional multi-residual recurrent neural network (abmrnn): A study about better short-term text classification
Y Wang, H Wang, X Zhang, T Chaspari, Y Choe, M Lu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
212019
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