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ORCIDSimon Colreavy-Donnelly
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2020 – today
- 2023
[j7]Saúl Calderón Ramírez
, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023)- [c4]Tan Jo Yen, Sivakumar Vengusamy, Fabio Caraffini, Stefan Kuhn, Simon Colreavy-Donnelly:
Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables. FRUCT 2023: 183-191 - [c3]Lilian Genaro Motti Ader, Katie Crowley, Stefan Kuhn, Fabio Caraffini, Turgay Altindag, Simon Colreavy-Donnelly:
Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments. ISTAS 2023: 1-8 - 2022
- [i3]Stefan Kuhn, Carlos Cobas, Agustin Barba, Simon Colreavy-Donnelly, Fabio Caraffini, Ricardo Moreira Borges:
Direct deduction of chemical class from NMR spectra. CoRR abs/2211.03173 (2022) - 2021
- [j6]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j5]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111: 107692 (2021) - [j4]Stuart O'Connor, Salim Hasshu, James Bielby, Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Richard Smith:
SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security. Inf. Sci. 580: 524-540 (2021) - [i2]Stefan Kuhn, Eda Tumer, Simon Colreavy-Donnelly, Ricardo Moreira Borges:
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning. CoRR abs/2103.12169 (2021) - 2020
- [j3]Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra:
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27(4): 403-416 (2020) - [c2]James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi:
Identifying Parkinson's Disease Through the Classification of Audio Recording Data. CEC 2020: 1-7 - [c1]Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi, Simon Coupland:
A Neural Network for Interpolating Light-Sources. COMPSAC 2020: 1634-1640 - [p1]Stuart O'Connor, Simon Colreavy-Donnelly, Ian Dunwell:
Fostering Engagement with Cultural Heritage Through Immersive VR and Gamification. Visual Computing for Cultural Heritage 2020: 301-321 - [i1]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR abs/2008.08496 (2020)
2010 – 2019
- 2019
- [j2]Simon Colreavy-Donnelly, Stuart O'Connor, Elmina Homapour:
I-Ulysses: A technical report. Entertain. Comput. 32 (2019) - [j1]Stuart O'Connor, James Shuttleworth, Simon Colreavy-Donnelly, Fotis Liarokapis:
Assessing the perceived realism of agent grouping dynamics for adaptation and simulation. Entertain. Comput. 32 (2019)
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