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Jonathan Flint
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2020 – today
- 2024
- [j8]Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan:
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement. Comput. Speech Lang. 86: 101605 (2024) - [j7]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:
Personalized mood prediction from patterns of behavior collected with smartphones. npj Digit. Medicine 7(1) (2024) - [j6]Jinhan Wang, Vijay Ravi, Jonathan Flint, Abeer Alwan:
Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification. Speech Commun. 163: 103106 (2024) - [c8]Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan:
A Privacy-preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech (short paper). ML4CMH@AAAI 2024: 57-63 - 2023
- [c7]Samir Akre, Brunilda Balliu, Zachary D. Cohen, Jonathan Flint, Amelia Welborn, Alex A. T. Bui, Tomislav D. Zbozinek, Michelle G. Craske:
Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch. BIBM 2023: 1818-1823 - 2022
- [j5]Varuni Sarwal, Sebastian Niehus, Ram Ayyala, Minyoung Kim, Aditya Sarkar, Sei Chang, Angela Lu, Neha Rajkumar, Nicholas Darci-Maher, Russell Littman, Karishma Chhugani, Arda Soylev, Zoia Comarova, Emily E. Wesel, Jacqueline Castellanos, Rahul Chikka, Margaret G. Distler, Eleazar Eskin, Jonathan Flint, Serghei Mangul:
A comprehensive benchmarking of WGS-based deletion structural variant callers. Briefings Bioinform. 23(4) (2022) - [c6]Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan:
Fraug: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals. ICASSP 2022: 6267-6271 - [c5]Jinhan Wang, Vijay Ravi, Jonathan Flint, Abeer Alwan:
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals. INTERSPEECH 2022: 2018-2022 - [c4]Vijay Ravi, Jinhan Wang, Jonathan Flint, Abeer Alwan:
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement. INTERSPEECH 2022: 3338-3342 - 2021
- [j4]Arunabha Majumdar, Claudia Giambartolomei, Na Cai, Tanushree Haldar, Tommer Schwarz, Michael J. Gandal, Jonathan Flint, Bogdan Pasaniuc:
Leveraging eQTLs to identify individual-level tissue of interest for a complex trait. PLoS Comput. Biol. 17(5) (2021)
2010 – 2019
- 2018
- [c3]Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Jonathan Flint, Abeer Alwan:
Effectiveness of Voice Quality Features in Detecting Depression. INTERSPEECH 2018: 1676-1680 - 2017
- [c2]Jingying Wang, Xiaoyun Sui, Tingshao Zhu, Jonathan Flint:
Identifying comorbidities from depressed people via voice analysis. BIBM 2017: 986-991 - [c1]Jingying Wang, Xiaoyun Sui, Bin Hu, Jonathan Flint, Shuotian Bai, Yuanbo Gao, Yang Zhou, Tingshao Zhu:
Detecting Postpartum Depression in Depressed People by Speech Features. HCC 2017: 433-442
2000 – 2009
- 2007
- [j3]Martin S. Taylor, William Valdar, Ashish Kumar, Jonathan Flint, Richard Mott:
Management, presentation and interpretation of genome scans using GSCANDB. Bioinform. 23(12): 1545-1549 (2007) - 2003
- [j2]P. S. Umesh Adiga, Jonathan Flint:
An efficient tool for genetic experiments: agarose gel image analysis. Pattern Recognit. 36(10): 2453-2461 (2003) - 2001
- [j1]P. S. Umesh Adiga, A. Bhomra, Maria Grazia Turri, A. Nicod, S. R. Datta, Peter Jeavons, Richard Mott, Jonathan Flint:
Automatic analysis of agarose gel images. Bioinform. 17(11): 1084-1089 (2001)
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last updated on 2024-12-10 21:47 CET by the dblp team
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