Search Results for author: Mohamed Medhat Gaber

Found 10 papers, 3 papers with code

DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection

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.

Event Detection Natural Language Processing

MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

1 code implementation24 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 +1

Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification

no code implementations14 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.

General Classification Time Series +1

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

1 code implementation26 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.

General Classification Medical Diagnosis +2

A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education

no code implementations29 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.

Question Answering text similarity

EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles

no code implementations22 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.

Computer Vision Ensemble Learning +2

AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection

no code implementations1 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.

Feature Engineering General Classification

A Survey of Data Mining Techniques for Social Media Analysis

no code implementations17 Dec 2013 Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl

Data mining techniques are used for information retrieval, statistical modelling and machine learning.

Information Retrieval

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