Simon Colreavy-Donnelly

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Convolutional Neural Networks

Chest Radiographs

Helmholtz Stereopsis

Top Venues

Entertain. Comput.

Integr. Comput. Aided Eng.

IEEE Trans. Artif. Intell.

Publications

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)
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)
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) (2023)
Stefan Kuhn, Carlos Cobas, Agustin Barba, Simon Colreavy-Donnelly, Fabio Caraffini, Ricardo Moreira Borges
Direct deduction of chemical class from NMR spectra. CoRR (2022)
Stefan Kuhn, Eda Tumer, Simon Colreavy-Donnelly, Ricardo Moreira Borges
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario A. Góngora, Johana Florez-Lozano, Carlos Parra
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27 (4) (2020)
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)
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 (2020)
Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi, Simon Coupland
A Neural Network for Interpolating Light-Sources. COMPSAC (2020)
Simon Colreavy-Donnelly, Stuart O'Connor, Elmina Homapour
I-Ulysses: A technical report. Entertain. Comput. 32 (2019)
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)