Predicting Continuous Epitopes in Proteins. - Reeti Tandon; Sudeshna Adak; Brion Sarachan; William FitzHugh; Jeremy Heil; Vaibhav A. Narayan (CSB Workshops, 2005)

A Rule-Based Algorithm for Mining Differentially Expressed Ions from High-Throughput LCMS Data. - Jeremy Heil; Richard Ballew; Tao He; Kim Alving; Vaibhav A. Narayan (DMIN, 2005)

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. - Lei Yuan 001; Yalin Wang 001; Paul M. Thompson; Vaibhav A. Narayan; Jieping Ye (KDD, 2012)

Modeling disease progression via fused sparse group lasso. - Jiayu Zhou; Jun Liu 003; Vaibhav A. Narayan; Jieping Ye (KDD, 2012)

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. - Lei Yuan 001; Yalin Wang 001; Paul M. Thompson; Vaibhav A. Narayan; Jieping Ye (NeuroImage, 2012)

Modeling disease progression via multi-task learning. - Jiayu Zhou; Jun Liu 003; Vaibhav A. Narayan; Jieping Ye (NeuroImage, 2013)

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients. - Yashu Liu 001; Zhi Nie; Jiayu Zhou; Michael Farnum; Vaibhav A. Narayan; Gayle M. Wittenberg; Jieping Ye (Pacific Symposium on Biocomputing, 2014)

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. - Zhi Nie; Tao Yang 016; Yashu Liu 001; Binbin Lin; Qingyang Li 001; Vaibhav A. Narayan; Gayle M. Wittenberg; Jieping Ye (Pacific Symposium on Biocomputing, 2015)

Mobile and pervasive computing technologies and the future of Alzheimer's clinical trials. - P. Murali Doraiswamy; Vaibhav A. Narayan; Husseini K. Manji (npj Digit. Medicine, 2018)

Using smartphones and wearable devices to monitor behavioural changes during COVID-19. - Shaoxiong Sun; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Nicholas Cummins; Faith Matcham; Gloria Dalla Costa; Letizia Leocani; Per Soelberg Sørensen; Mathias Buron; Ana Isabel Guerrero; et al. (CoRR, 2020)

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. - Judith Dineley; Grace Lavelle; Daniel Leightley; Faith Matcham; Sara Siddi; Maria Teresa Peñarrubia-María; Katie M. White; Alina Ivan; Carolin Oetzmann; Sara Simblett; Erin Dawe-Lane; Stuart Bruce; et al. (Interspeech, 2021)

Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. - Judith Dineley; Grace Lavelle; Daniel Leightley; Faith Matcham; Sara Siddi; Maria Teresa Peñarrubia-María; Katie M. White; Alina Ivan; Carolin Oetzmann; Sara Simblett; Erin Dawe-Lane; Stuart Bruce; et al. (CoRR, 2021)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Yuezhou Zhang; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; et al. (CoRR, 2021)

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. - Shaoxiong Sun; Amos A. Folarin; Yuezhou Zhang; Nicholas Cummins; Shuo Liu 012; Callum L. Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou; Heet Sankesara; Gloria Dalla Costa; et al. (Comput. Methods Programs Biomed., 2022)

Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. - Carolin Oetzmann; Katie M. White; Alina Ivan; Jessica Julie; Daniel Leightley; Grace Lavelle; Femke Lamers; Sara Siddi; Peter Annas; Sara Arranz Garcia; Josep Maria Haro; David C. Mohr; et al. (npj Digit. Medicine, 2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. - Edward L. Campbell; Judith Dineley; Pauline Conde; Faith Matcham; Katie M. White; Carolin Oetzmann; Sara Simblett; Stuart Bruce; Amos A. Folarin; Til Wykes; Srinivasan Vairavan; Richard J. B. Dobson; et al. (INTERSPEECH, 2023)

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. - Yuezhou Zhang; Amos A. Folarin; Judith Dineley; Pauline Conde; Valeria de Angel; Shaoxiong Sun; Yatharth Ranjan; Zulqarnain Rashid; Callum L. Stewart; Petroula Laiou; Heet Sankesara; Linglong Qian; et al. (CoRR, 2023)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang; Abhishek Pratap; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Faith Matcham; Srinivasan Vairavan; Judith Dineley; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; et al. (npj Digit. Medicine, 2023)

Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. - Spyridon Kontaxis; Estela Laporta; Esther García; Matteo Martinis; Letizia Leocani; Lucia Roselli; Mathias Due Buron; Ana Isabel Guerrero; Ana Zabalza; Nicholas Cummins; Srinivasan Vairavan; Matthew Hotopf; et al. (Sensors, 2023)

Longitudinal Modeling of Depression Shifts Using Speech and Language. - Paula Andrea Pérez-Toro; Judith Dineley; Agnieszka Kaczkowska; Pauline Conde; Yuezhou Zhang; Faith Matcham; Sara Siddi; Josep Maria Haro; Stuart Bruce; Til Wykes; Raquel Bailón; Srinivasan Vairavan; et al. (ICASSP, 2024)