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ORCIDJoy Egede
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- affiliation: University of Nottingham, School of Computer Science, UK
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2020 – today
- 2022
[c9]Steve Benford
, Anders Sundnes Løvlie, Karin Ryding, Paulina Rajkowska, Edgar Bodiaj, Dimitrios Paris Darzentas, Harriet R. Cameron, Jocelyn Spence, Joy Egede, Bogdan Spanjevic:
Sensitive Pictures: Emotional Interpretation in the Museum. CHI 2022: 455:1-455:16- [i3]Steve Benford, Anders Sundnes Løvlie, Karin Ryding, Paulina Rajkowska, Edgar Bodiaj, Dimitrios Paris Darzentas, Harriet R. Cameron, Jocelyn Spence, Joy Egede, Bogdan Spanjevic:
Sensitive Pictures: Emotional Interpretation in the Museum. CoRR abs/2203.01041 (2022) - 2021
- [c8]Maria J. Galvez Trigo, Martin Porcheron, Joy Egede, Joel E. Fischer, Adrian Hazzard, Chris Greenhalgh, Edgar Bodiaj, Michel F. Valstar:
ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. CUI 2021: 26:1-26:5 - [c7]Joy O. Egede, Dominic Price, Deepa B. Krishnan, Shashank Jaiswal, Natasha Elliot, Richard F. Morriss, Maria J. Galvez Trigo, Neil Nixon, Peter Liddle, Christopher Greenhalgh, Michel F. Valstar:
Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. IVA 2021: 52-59 - [c6]Joy Egede, Maria J. Galvez Trigo, Adrian Hazzard, Martin Porcheron, Edgar Bodiaj, Joel E. Fischer, Chris Greenhalgh, Michel F. Valstar:
Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study. IVA 2021: 112-119 - 2020
- [c5]Joy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda C. de C. Williams, Hongying Meng, Min S. Hane Aung, Nicholas D. Lane, Michel F. Valstar, Nadia Bianchi-Berthouze:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. FG 2020: 849-856 - [i2]Joy Egede, Temitayo A. Olugbade, Chongyang Wang, Siyang Song, Nadia Berthouze, Michel F. Valstar, Amanda C. de C. Williams, Hongying Meng, Min Hane Aung, Nicholas D. Lane:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. CoRR abs/2001.07739 (2020)
2010 – 2019
- 2019
- [b1]Joy Onyekachukwu Egede:
Automatic pain assessment from face video: continuous pain intensity estimation in adults and newborns. University of Nottingham, UK, 2019 - [c4]Joy Egede, Michel F. Valstar, Mercedes Torres Torres, Don Sharkey:
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database. ACII 2019: 1-7 - 2018
- [c3]Shashank Jaiswal, Joy Egede, Michel F. Valstar:
Deep Learned Cumulative Attribute Regression. FG 2018: 715-722 - 2017
- [c2]Joy Egede, Michel F. Valstar, Brais Martínez:
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation. FG 2017: 689-696 - [c1]Joy O. Egede, Michel F. Valstar:
Cumulative attributes for pain intensity estimation. ICMI 2017: 146-153 - [i1]Joy Egede, Michel F. Valstar, Brais Martínez:
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation. CoRR abs/1701.04540 (2017)
Coauthor Index
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