Jonathan Flint

According to our database, Jonathan Flint authored at least 14 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Personalized mood prediction from patterns of behavior collected with smartphones.

Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint

npj Digit. Medicine, 2024

A Privacy-preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech (short paper).

Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023

Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch.

Samir Akre, Brunilda Balliu, Zachary D. Cohen, Jonathan Flint, Amelia Welborn, Alex A. T. Bui, Tomislav D. Zbozinek, Michelle G. Craske

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A comprehensive benchmarking of WGS-based deletion structural variant callers.

Varuni Sarwal, Sebastian Niehus, Ram Ayyala, Minyoung Kim, Aditya Sarkar, Sei Chang, Angela Lu, Neha Rajkumar, Nicholas Darfci-Maher, Russell Littman, Karishma Chhugani, Arda Soylev, Zoia Comarova, Emily Wesel, Jacqueline Castellanos, Rahul Chikka, Margaret G. Distler, Eleazar Eskin, Jonathan Flint, Serghei Mangul

Briefings Bioinform., 2022

Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals.

Jinhan Wang, Vijay Ravi, Jonathan Flint, Abeer Alwan

Proceedings of the Interspeech 2022, 2022

A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement.

Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan

Proceedings of the Interspeech 2022, 2022

Fraug: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals.

Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Leveraging eQTLs to identify individual-level tissue of interest for a complex trait.

Arunabha Majumdar, Claudia Giambartolomei, Na Cai, Tanushree Haldar, Tommer Schwarz, Michael J. Gandal, Jonathan Flint, Bogdan Pasaniuc

PLoS Comput. Biol., 2021

2018

Effectiveness of Voice Quality Features in Detecting Depression.

Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Jonathan Flint, Abeer Alwan

Proceedings of the Interspeech 2018, 2018

2017

Detecting Postpartum Depression in Depressed People by Speech Features.

Jingying Wang, Xiaoyun Sui, Bin Hu, Jonathan Flint, Shuotian Bai, Yuanbo Gao, Yang Zhou, Tingshao Zhu

Proceedings of the Human Centered Computing - Third International Conference, 2017

Identifying comorbidities from depressed people via voice analysis.

Jingying Wang, Xiaoyun Sui, Tingshao Zhu, Jonathan Flint

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2007

Management, presentation and interpretation of genome scans using GSCANDB.

Martin S. Taylor, William Valdar, Ashish Kumar, Jonathan Flint, Richard Mott

Bioinform., 2007

2003

An efficient tool for genetic experiments: agarose gel image analysis.

P. S. Umesh Adiga, Jonathan Flint

Pattern Recognit., 2003

2001

Automatic analysis of agarose gel images.

P. S. Umesh Adiga, A. Bhomra, Maria Grazia Turri, A. Nicod, S. R. Datta, Peter Jeavons, Richard Mott, Jonathan Flint

Bioinform., 2001