Shereen Fouad

Orcid: 0000-0002-4965-7017

According to our database1, Shereen Fouad authored at least 23 papers between 2012 and 2023.

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Bibliography

2023
A review of natural language processing in contact centre automation.
Pattern Anal. Appl., August, 2023

Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

2022
A machine learning approach for detecting fast flux phishing hostnames.
J. Inf. Secur. Appl., 2022

2021
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., 2021

Transfer learning approach for detecting psychological distress in brexit tweets.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Intrusion Detection for Industrial Control Systems by Machine Learning using Privileged Information.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

2019
Novel applications of discrete mereotopology to mathematical morphology.
Signal Process. Image Commun., 2019

Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2017
Mereotopological Correction of Segmentation Errors in Histological Imaging.
J. Imaging, 2017

Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation.
J. Imaging, 2017

Model-Based Correction of Segmentation Errors in Digitised Histological Images.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Errors and Artefacts in Histopathological Imaging.
Proceedings of the 8th International Conference on Biomedical Ontology (ICBO 2017), Newcastle-upon-Tyne, United Kingdom, September 13th, 2017

2016
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment.
Frontiers Comput. Neurosci., 2016

Morphological Separation of Clustered Nuclei in Histological Images.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Ontological Levels in Histological Imaging.
Proceedings of the Formal Ontology in Information Systems, 2016

2013
Metric learning for incorporating privileged information in prototype-based models.
PhD thesis, 2013

Incorporating Privileged Information Through Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

Ordinal-based metric learning for learning using privileged information.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Adaptive Metric Learning Vector Quantization for Ordinal Classification.
Neural Comput., 2012

Prototype Based Modelling for Ordinal Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Learning Using Privileged Information in Prototype Based Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012


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