Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Dineley, Judith"'
Autor:
Cummins, Nicholas, White, Lauren L., Rahman, Zahia, Lucas, Catriona, Pan, Tian, Carr, Ewan, Matcham, Faith, Downs, Johnny, Dobson, Richard J., Dineley, Judith
Background Speech-based biomarkers have potential as a means for regular, objective assessment of symptom severity, remotely and in-clinic in combination with advanced analytical models. However, the complex nature of speech and the often subtle chan
Externí odkaz:
http://arxiv.org/abs/2406.07497
Autor:
Zhang, Yuezhou, Folarin, Amos A, Dineley, Judith, Conde, Pauline, de Angel, Valeria, Sun, Shaoxiong, Ranjan, Yatharth, Rashid, Zulqarnain, Stewart, Callum, Laiou, Petroula, Sankesara, Heet, Qian, Linglong, Matcham, Faith, White, Katie M, Oetzmann, Carolin, Lamers, Femke, Siddi, Sara, Simblett, Sara, Schuller, Björn W., Vairavan, Srinivasan, Wykes, Til, Haro, Josep Maria, Penninx, Brenda WJH, Narayan, Vaibhav A, Hotopf, Matthew, Dobson, Richard JB, Cummins, Nicholas, consortium, RADAR-CNS
Language use has been shown to correlate with depression, but large-scale validation is needed. Traditional methods like clinic studies are expensive. So, natural language processing has been employed on social media to predict depression, but limita
Externí odkaz:
http://arxiv.org/abs/2308.11773
Autor:
Dineley, Judith, Carr, Ewan, Matcham, Faith, Downs, Johnny, Dobson, Richard, Quatieri, Thomas F, Cummins, Nicholas
Speech is promising as an objective, convenient tool to monitor health remotely over time using mobile devices. Numerous paralinguistic features have been demonstrated to contain salient information related to an individual's health. However, mobile
Externí odkaz:
http://arxiv.org/abs/2305.12514
Autor:
Triantafyllopoulos, Andreas, Kathan, Alexander, Baird, Alice, Christ, Lukas, Gebhard, Alexander, Gerczuk, Maurice, Karas, Vincent, Hübner, Tobias, Jing, Xin, Liu, Shuo, Mallol-Ragolta, Adria, Milling, Manuel, Ottl, Sandra, Semertzidou, Anastasia, Rajamani, Srividya Tirunellai, Yan, Tianhao, Yang, Zijiang, Dineley, Judith, Amiriparian, Shahin, Bartl-Pokorny, Katrin D., Batliner, Anton, Pokorny, Florian B., Schuller, Björn W.
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. Thi
Externí odkaz:
http://arxiv.org/abs/2301.10477
Autor:
Campbell, Edward L., Dineley, Judith, Conde, Pauline, Matcham, Faith, Lamers, Femke, Siddi, Sara, Docio-Fernandez, Laura, Garcia-Mateo, Carmen, Cummins, Nicholas, Consortium, the RADAR-CNS
Major Depressive Disorder (MDD) is a common worldwide mental health issue with high associated socioeconomic costs. The prediction and automatic detection of MDD can, therefore, make a huge impact on society. Speech, as a non-invasive, easy to collec
Externí odkaz:
http://arxiv.org/abs/2206.01542
Autor:
Zhang, Yuezhou, Folarin, Amos A., Dineley, Judith, Conde, Pauline, de Angel, Valeria, Sun, Shaoxiong, Ranjan, Yatharth, Rashid, Zulqarnain, Stewart, Callum, Laiou, Petroula, Sankesara, Heet, Qian, Linglong, Matcham, Faith, White, Katie, Oetzmann, Carolin, Lamers, Femke, Siddi, Sara, Simblett, Sara, Schuller, Björn W., Vairavan, Srinivasan, Wykes, Til, Haro, Josep Maria, Penninx, Brenda W.J.H., Narayan, Vaibhav A., Hotopf, Matthew, Dobson, Richard J.B., Cummins, Nicholas
Publikováno v:
In Journal of Affective Disorders 15 June 2024 355:40-49
Autor:
Liu, Shuo, Han, Jing, Puyal, Estela Laporta, Kontaxis, Spyridon, Sun, Shaoxiong, Locatelli, Patrick, Dineley, Judith, Pokorny, Florian B., Costa, Gloria Dalla, Leocan, Letizia, Guerrero, Ana Isabel, Nos, Carlos, Zabalza, Ana, Sørensen, Per Soelberg, Buron, Mathias, Magyari, Melinda, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Folarin, Amos A, Dobson, Richard JB, Bailón, Raquel, Vairavan, Srinivasan, Cummins, Nicholas, Narayan, Vaibhav A, Hotopf, Matthew, Comi, Giancarlo, Schuller, Björn
This study investigates the potential of deep learning methods to identify individuals with suspected COVID-19 infection using remotely collected heart-rate data. The study utilises data from the ongoing EU IMI RADAR-CNS research project that is inve
Externí odkaz:
http://arxiv.org/abs/2104.09263
Autor:
Dineley, Judith, Lavelle, Grace, Leightley, Daniel, Matcham, Faith, Siddi, Sara, Peñarrubia-María, Maria Teresa, White, Katie M., Ivan, Alina, Oetzmann, Carolin, Simblett, Sara, Dawe-Lane, Erin, Bruce, Stuart, Stahl, Daniel, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Folarin, Amos A., Haro, Josep Maria, Wykes, Til, Dobson, Richard J. B., Narayan, Vaibhav A., Hotopf, Matthew, Schuller, Björn W., Cummins, Nicholas, Consortium, The RADAR-CNS
Publikováno v:
Proc. Interspeech 2021, pp. 631-635
The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced analytics as a research and healthcare tool. For this to be realised,
Externí odkaz:
http://arxiv.org/abs/2104.08600
Autor:
Cummins, Nicholas, Dineley, Judith, Conde, Pauline, Matcham, Faith, Siddi, Sara, Lamers, Femke, Carr, Ewan, Lavelle, Grace, Leightley, Daniel, White, Katie M., Oetzmann, Carolin, Campbell, Edward L., Simblett, Sara, Bruce, Stuart, Haro, Josep Maria, Penninx, Brenda W.J.H., Ranjan, Yatharth, Rashid, Zulqarnain, Stewart, Callum, Folarin, Amos A., Bailón, Raquel, Schuller, Björn W., Wykes, Til, Vairavan, Srinivasan, Dobson, Richard J.B., Narayan, Vaibhav A., Hotopf, Matthew
Publikováno v:
In Journal of Affective Disorders 15 November 2023 341:128-136
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