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Shereen Fouad
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2020 – today
- 2023
- [j9]Shariq Shah
, Hossein Ghomeshi, Edlira Vakaj
, Emmett Cooper, Shereen Fouad
:
A review of natural language processing in contact centre automation. Pattern Anal. Appl. 26(3): 823-846 (2023) - [c13]Shereen Fouad
, Ezzaldin Alkooheji:
Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models. ICSC 2023: 227-234 - 2022
- [j8]Thomas Nagunwa, Paul Kearney
, Shereen Fouad
:
A machine learning approach for detecting fast flux phishing hostnames. J. Inf. Secur. Appl. 65: 103125 (2022) - 2021
- [j7]Shereen Fouad
, Gabriel Landini
, Max Robinson
, Tzu-Hsi Song
, Hisham Mehanna
:
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. Comput. Medical Imaging Graph. 88: 101853 (2021) - [c12]Moojan Pordelkhaki, Shereen Fouad
, Mark B. Josephs
:
Intrusion Detection for Industrial Control Systems by Machine Learning using Privileged Information. ISI 2021: 1-6 - [c11]Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe
, Zahraa S. Abdallah
:
Transfer learning approach for detecting psychological distress in brexit tweets. SAC 2021: 967-975 - [i1]Sean-Kelly Palicki, Shereen Fouad
, Mariam Adedoyin-Olowe, Zahraa S. Abdallah:
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets. CoRR abs/2102.00912 (2021)
2010 – 2019
- 2019
- [j6]Gabriel Landini
, Antony Galton, David A. Randell, Shereen Fouad
:
Novel applications of discrete mereotopology to mathematical morphology. Signal Process. Image Commun. 76: 109-117 (2019) - [c10]Thomas Nagunwa, Syed Naqvi, Shereen Fouad
, Hanifa Shah:
A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. CISIS-ICEUTE 2019: 36-46 - [c9]Tzu-Hsi Song, Gabriel Landini
, Shereen Fouad
, Hisham Mehanna
:
Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach. ISBI 2019: 1527-1531 - 2017
- [j5]Shereen Fouad
, David A. Randell, Antony Galton, Hisham Mehanna
, Gabriel Landini
:
Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation. J. Imaging 3(4): 61 (2017) - [j4]David A. Randell, Antony Galton, Shereen Fouad
, Hisham Mehanna
, Gabriel Landini
:
Mereotopological Correction of Segmentation Errors in Histological Imaging. J. Imaging 3(4): 63 (2017) - [c8]Antony Galton, Shereen Fouad, Gabriel Landini, David A. Randell:
Errors and Artefacts in Histopathological Imaging. ICBO 2017 - [c7]David A. Randell, Antony Galton, Shereen Fouad
, Hisham Mehanna
, Gabriel Landini
:
Model-Based Correction of Segmentation Errors in Digitised Histological Images. MIUA 2017: 718-730 - [c6]Shereen Fouad
, David A. Randell, Antony Galton, Hisham Mehanna
, Gabriel Landini
:
Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering. MIUA 2017: 767-779 - 2016
- [j3]Hanin H. Alahmadi, Yuan Shen, Shereen Fouad
, Caroline Di Bernardi Luft
, Peter Bentham, Zoe Kourtzi
, Peter Tiño
:
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment. Frontiers Comput. Neurosci. 10: 117 (2016) - [c5]Antony Galton, Gabriel Landini
, David A. Randell, Shereen Fouad
:
Ontological Levels in Histological Imaging. FOIS 2016: 271-284 - [c4]Shereen Fouad
, Gabriel Landini
, David A. Randell, Antony Galton:
Morphological Separation of Clustered Nuclei in Histological Images. ICIAR 2016: 599-607 - 2013
- [b1]Shereen Fouad:
Metric learning for incorporating privileged information in prototype-based models. University of Birmingham, UK, 2013 - [j2]Shereen Fouad
, Peter Tiño
, Somak Raychaudhury
, Petra Schneider:
Incorporating Privileged Information Through Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1086-1098 (2013) - [c3]Shereen Fouad
, Peter Tiño
:
Ordinal-based metric learning for learning using privileged information. IJCNN 2013: 1-8 - 2012
- [j1]Shereen Fouad
, Peter Tiño
:
Adaptive Metric Learning Vector Quantization for Ordinal Classification. Neural Comput. 24(11): 2825-2851 (2012) - [c2]Shereen Fouad
, Peter Tiño
, Somak Raychaudhury
, Petra Schneider:
Learning Using Privileged Information in Prototype Based Models. ICANN (2) 2012: 322-329 - [c1]Shereen Fouad
, Peter Tiño
:
Prototype Based Modelling for Ordinal Classification. IDEAL 2012: 208-215
Coauthor Index
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