| Automated ergonomic risk monitoring using body-mounted sensors and machine learning ND Nath, T Chaspari, AH Behzadan Advanced Engineering Informatics 38, 514-526, 2018 | 135 | 2018 |
| 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 | 118 | 2017 |
| 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 | 92 | 2023 |
| A review of generalizable transfer learning in automatic emotion recognition K Feng, T Chaspari Frontiers in Computer Science 2, 9, 2020 | 84 | 2020 |
| 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 | 62 | 2016 |
| 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 | 58 | 2014 |
| 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 | 54 | 2017 |
| 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 | 51 | 2017 |
| 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 | 49 | 2020 |
| 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 | 40 | 2013 |
| 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 | 38 | 2019 |
| 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 | 33 | 2018 |
| 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 | 32 | 2021 |
| Few-shot learning in emotion recognition of spontaneous speech using a siamese neural network with adaptive sample pair formation K Feng, T Chaspari IEEE Transactions on Affective Computing 14 (2), 1627-1633, 2021 | 31 | 2021 |
| 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 | 29 | 2019 |
| Emotion classification of speech using modulation features T Chaspari, D Dimitriadis, P Maragos 2014 22nd European Signal Processing Conference (EUSIPCO), 1552-1556, 2014 | 29 | 2014 |
| 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 | 29 | 2013 |
| 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 | 28 | 2013 |
| 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 | 26 | 2020 |
| Single-and multi-label classification of construction objects using deep transfer learning methods. ND Nath, T Chaspari, AH Behzadan J. Inf. Technol. Constr. 24, 511-526, 2019 | 25 | 2019 |
