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Shereen Fouad
Shereen Fouad
Lecturer in Computer Science, Aston University
Verified email at aston.ac.uk
Title
Cited by
Cited by
Year
Incorporating privileged information through metric learning
S Fouad, P Tino, S Raychaudhury, P Schneider
IEEE transactions on neural networks and learning systems 24 (7), 1086-1098, 2013
902013
Automatic thresholding from the gradients of region boundaries
G Landini, DA Randell, S Fouad, A Galton
Journal of microscopy 265 (2), 185-195, 2017
522017
Unsupervised morphological segmentation of tissue compartments in histopathological images
S Fouad, D Randell, A Galton, H Mehanna, G Landini
PloS one 12 (11), e0188717, 2017
322017
Adaptive metric learning vector quantization for ordinal classification
S Fouad, P Tino
Neural computation 24 (11), 2825-2851, 2012
292012
Ordinal-based metric learning for learning using privileged information
S Fouad, P Tiňo
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
192013
Mereotopological correction of segmentation errors in histological imaging
DA Randell, A Galton, S Fouad, H Mehanna, G Landini
Journal of Imaging 3 (4), 63, 2017
182017
Classifying cognitive profiles using machine learning with privileged information in mild cognitive impairment
HH Alahmadi, Y Shen, S Fouad, CDB Luft, P Bentham, Z Kourtzi, P Tino
Frontiers in Computational Neuroscience 10, 117, 2016
182016
Learning using privileged information in prototype based models
S Fouad, P Tino, S Raychaudhury, P Schneider
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
182012
Novel applications of discrete mereotopology to mathematical morphology
G Landini, A Galton, D Randell, S Fouad
Signal Processing: Image Communication 76, 109-117, 2019
152019
Unsupervised superpixel-based segmentation of histopathological images with consensus clustering
S Fouad, D Randell, A Galton, H Mehanna, G Landini
Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017
142017
Ontological Levels in Histological Imaging
A Galton, G Landini, D Randell, S Fouad
Artificial Intelligence and Digital Microscopy, 4, 2018
102018
Epithelium and stroma identification in histopathological images using unsupervised and semi-supervised superpixel-based segmentation
S Fouad, D Randell, A Galton, H Mehanna, G Landini
Journal of Imaging 3 (4), 61, 2017
102017
Ontological Levels in Histological Imaging.
A Galton, G Landini, DA Randell, S Fouad
FOIS, 271-284, 2016
102016
A machine learning approach for detecting fast flux phishing hostnames
T Nagunwa, P Kearney, S Fouad
Journal of Information Security and Applications 65 (103125), 2022
92022
Discrete mereotopology in histological imaging
G Landini, DA Randell, AP Galton
Proceedings of the 17th conference on Medical Image Understanding and …, 2013
92013
Morphological separation of clustered nuclei in histological images
S Fouad, G Landini, D Randell, A Galton
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
72016
Transfer learning approach for detecting psychological distress in brexit tweets
SK Palicki, S Fouad, M Adedoyin-Olowe, ZS Abdallah
Proceedings of the 36th annual ACM symposium on applied computing, 967-975, 2021
62021
A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites.
SH Nagunwa T., Naqvi S., Fouad S.
International Joint Conference: 12th International Conference on …, 2019
6*2019
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks
S Fouad, G Landini, M Robinson, TH Song, H Mehanna
Computerized Medical Imaging and Graphics 88, 101853, 2021
52021
Metric learning for incorporating privileged information in prototype-based models
S Fouad
University of Birmingham, 2013
52013
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