no code implementations • ACL (CASE) 2021 • Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
Automatic socio-political and crisis event detection has been a challenge for natural language processing as well as social and political science communities, due to the diversity and nuance in such events and high accuracy requirements.
1 code implementation • 4 Mar 2024 • Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber, Pouyan Parsafard, Nicoleta Bocaneala, Katja Breitenfelder, Gonçal Costa, Maria Hedblom, Mihaela Juganaru-Mathieu, Thamer Mecharnia, Sumee Park, He Tan, Abdel-Rahman H. Tawil, Edlira Vakaj
CODE-ACCORD comprises 862 self-contained sentences extracted from the building regulations of England and Finland.
1 code implementation • 24 Aug 2021 • Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
It exploits the high sensitivity to the multi-level contextual information using an uncertainty quantification component to accomplish a novel dynamic ensemble model. MCUamodelhas achieved a high accuracy of 98. 11% on a breast cancer histology image dataset.
Breast Cancer Histology Image Classification Classification +2
2 code implementations • 10 Jun 2020 • Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
Social media is becoming a primary medium to discuss what is happening around the world.
no code implementations • 14 Apr 2020 • Zahraa S. Abdallah, Mohamed Medhat Gaber
The developed technique similarly uses different lenses and representations to look at the time series, and then combines them for broader visibility.
no code implementations • 8 Apr 2020 • Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
For comparison, we apply the data and VGG16 networks to an open-set deep network solution - OpenMax.
1 code implementation • 26 Mar 2020 • Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNNs) for image recognition and classification.
no code implementations • 29 Oct 2019 • Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
Subject experts rated the quality of the system's answers on a subset of questions and their ratings were used to identify the most appropriate automatic semantic text similarity metric to use as a validation metric for all answers.
no code implementations • 22 Jul 2019 • Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
In this paper, we describe EnSyth, a deep learning ensemble approach to enhance the predictability of compact neural network's models.
no code implementations • 1 Dec 2018 • Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
To address this shortcoming, we propose an opportunistic knowledge discovery system, namely AnyThreat, with the aim to detect any anomalous behaviour in all malicious insider threats.
no code implementations • 17 Dec 2013 • Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
Data mining techniques are used for information retrieval, statistical modelling and machine learning.