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Noel E. O'Connor
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Pseudo-labeling and confirmation bias in deep semi-supervised learning
E Arazo, D Ortego, P Albert, NE O’Connor, K McGuinness
2020 International joint conference on neural networks (IJCNN), 1-8, 2020
10562020
Unsupervised label noise modeling and loss correction
E Arazo, D Ortego, P Albert, N O’Connor, K McGuinness
International conference on machine learning, 312-321, 2019
7342019
Shallow and deep convolutional networks for saliency prediction
J Pan, E Sayrol, X Giro-i-Nieto, K McGuinness, NE O'Connor
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5852016
Salgan: Visual saliency prediction with generative adversarial networks
J Pan, CC Ferrer, K McGuinness, NE O'Connor, J Torres, E Sayrol, ...
arXiv preprint arXiv:1701.01081, 2017
5132017
A comparative evaluation of interactive segmentation algorithms
K McGuinness, NE O’connor
Pattern Recognition 43 (2), 434-444, 2010
4052010
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks
J Antony, K McGuinness, NE O'Connor, K Moran
2016 23rd international conference on pattern recognition (ICPR), 1195-1200, 2016
3422016
Event detection in field sports video using audio-visual features and a support vector machine
DA Sadlier, NE O'Connor
IEEE Transactions on Circuits and Systems for Video Technology 15 (10), 1225 …, 2005
3402005
A multiscale representation method for nonrigid shapes with a single closed contour
T Adamek, NE O'Connor
IEEE Transactions on Circuits and Systems for Video Technology 14 (5), 742-753, 2004
3292004
Evaluating a dancer's performance using kinect-based skeleton tracking
DS Alexiadis, P Kelly, P Daras, NE O'Connor, T Boubekeur, MB Moussa
Proceedings of the 19th ACM international conference on Multimedia, 659-662, 2011
2632011
Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks
J Antony, K McGuinness, K Moran, NE O’Connor
Machine Learning and Data Mining in Pattern Recognition: 13th International …, 2017
2142017
Bags of local convolutional features for scalable instance search
E Mohedano, K McGuinness, NE O'Connor, A Salvador, F Marques, ...
Proceedings of the 2016 ACM on international conference on multimedia …, 2016
2052016
Fully convolutional crowd counting on highly congested scenes
M Marsden, K McGuinness, S Little, NE O'Connor
arXiv preprint arXiv:1612.00220, 2016
2002016
Classification of sporting activities using smartphone accelerometers
E Mitchell, D Monaghan, NE O'Connor
Sensors 13 (4), 5317-5337, 2013
1982013
Touch screens for the older user
N Caprani, NE O’Connor, C Gurrin
Assistive technologies 1, 2012
1922012
Passively recognising human activities through lifelogging
AR Doherty, N Caprani, CÓ Conaire, V Kalnikaite, C Gurrin, AF Smeaton, ...
Computers in human behavior 27 (5), 1948-1958, 2011
1852011
The convergence of virtual reality and social networks: threats to privacy and autonomy
F O’Brolcháin, T Jacquemard, D Monaghan, N O’Connor, P Novitzky, ...
Science and engineering ethics 22, 1-29, 2016
1632016
Resnetcrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
M Marsden, K McGuinness, S Little, NE O'Connor
2017 14th IEEE international conference on advanced video and signal based …, 2017
1622017
Word matching using single closed contours for indexing handwritten historical documents
T Adamek, NE O’Connor, AF Smeaton
International Journal of Document Analysis and Recognition (IJDAR) 9, 153-165, 2007
1562007
Multi-objective interpolation training for robustness to label noise
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1432021
Detector adaptation by maximising agreement between independent data sources
CO Conaire, NE O'Connor, AF Smeaton
2007 IEEE conference on computer vision and pattern recognition, 1-6, 2007
1432007
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