Publications

This section contains publications published by ISI over the past several decades.

2023

Fedmultimodal: A benchmark for multimodal federated learning

Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …,  2023

SocialBit: protocol for a prospective observational study to validate a wearable social sensor for stroke survivors with diverse neurological abilities

Kelly White, Samuel Tate, Ross Zafonte, Shrikanth Narayanan, Matthias R Mehl, Min Shin, Amar Dhand
BMJ open 13 (8), e076297,  2023

Robust self supervised speech embeddings for child-adult classification in interactions involving children with autism

Rimita Lahiri, Tiantian Feng, Rajat Hebbar, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
arXiv preprint arXiv:2307.16398,  2023

Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial

Hyun Joo Yoo, Kaoru Nashiro, Jungwon Min, Christine Cho, Noah Mercer, Shelby L Bachman, Padideh Nasseri, Shubir Dutt, Shai Porat, Paul Choi, Yong Zhang, Vardui Grigoryan, Tiantian Feng, Julian F Thayer, Paul Lehrer, Catie Chang, Jeffrey A Stanley, Elizabeth Head, Jeremy Rouanet, Vasilis Z Marmarelis, Shrikanth Narayanan, Jessica Wisnowski, Daniel A Nation, Mara Mather
Scientific Data 10 (1), 503,  2023

Wearable and mobile technologies for the evaluation and treatment of obsessive-compulsive disorder: scoping review

Adam C Frank, Ruibei Li, Bradley S Peterson, Shrikanth S Narayanan
JMIR Mental Health 10, e45572,  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
arXiv preprint arXiv:2307.04445,  2023

A machine-learning algorithm for the automated perceptual evaluation of dysphonia severity

Benjamin van der Woerd, Zhuohao Chen, Nikolaos Flemotomos, Maria Oljaca, Lauren Timmons Sund, Shrikanth Narayanan, Michael M Johns
Journal of Voice,  2023

Creating musical features using multi-faceted, multi-task encoders based on transformers

Timothy Greer, Xuan Shi, Benjamin Ma, Shrikanth Narayanan
Scientific Reports 13 (1), 10713,  2023

A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care

Cady Berkel, Dillon C Knox, Nikolaos Flemotomos, Victor R Martinez, David C Atkins, Shrikanth S Narayanan, Lizeth Alonso Rodriguez, Carlos G Gallo, Justin D Smith
Implementation Research and Practice 4, 26334895231187906,  2023

Character coreference resolution in movie screenplays

Sabyasachee Baruah, Shrikanth Narayanan
Findings of the Association for Computational Linguistics: ACL 2023, 10300-10313,  2023

Tensor embedding: A supervised framework for human behavioral data mining and prediction

Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 91-100,  2023

An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications

Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, Shrikanth S Narayanan
Proceedings of the IEEE 111 (10), 1142-1158,  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 in Digital Health 5, 1195795,  2023

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving

Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan
2023 IEEE International Conference on Acoustics, Speech, and Signal …,  2023

Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-Based Interventions

Victor Ardulov, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

Signal processing grand challenge 2023–e-prevention: Sleep behavior as an indicator of relapses in psychotic patients

Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

On the role of visual context in enriching music representations

Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data

Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth S Narayanan, Theodora Chaspari
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

Designing and evaluating speech emotion recognition systems: A reality check case study with iemocap

Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023