Search Results - "El Gayar, Neamat"

An empirical comparison of machine learning models for time series forecasting by Ahmed, Nesreen K, Atiya, Amir F, Gayar, Neamat el, El-Shishiny, Hisham

“…In this work we present a large scale comparison study for the major machine learning models for time series forecasting. Specifically, we apply the models on…”
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An integrated framework for advanced hotel revenue management by Farouk El Gayar, Neamat, Saleh, Mohamed, Atiya, Amir, El-Shishiny, Hisham, Alkes Youhanna Fayez Zakhary, Athanasius, Abdel Aziz Mohammed Habib, Heba

“…Purpose - This paper aims to present an integrated framework for hotel revenue room maximization. The revenue management (RM) model presented in this work…”
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Fraud Detection using Machine Learning and Deep Learning by Raghavan, Pradheepan, Gayar, Neamat El

“…Frauds are known to be dynamic and have no patterns, hence they are not easy to identify. Fraudsters use recent technological advancements to their advantage…”
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Comparative Study of Different Machine Learning Models for Customer Churn Analysis Using SMOTE and Feature Variation Along With Customer Segmentation by Thankam, Mary Shana, El Gayar, Neamat

“…Customer churn is a major issue faced by the companies in both the online and offline markets, which adversely affects profit and revenue. Recently, Machine…”
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Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition by Trentin, Edmondo, Schwenker, Friedhelm, El Gayar, Neamat, Abbas, Hazem M.

“…The first paper in this grouping, namely A Temporal Dependency based Multi-modal Active Learning Approach for Audiovisual Event Detection (an extension of…”
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A new approach in content-based image retrieval using fuzzy by Aboulmagd, Heba, El-Gayar, Neamat, Onsi, Hoda

“…Finding an image from a large set of images is an extremely difficult problem. One solution is to label images manually, but this is very expensive, time…”
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A semi-supervised learning approach for soft labeled data by El-Zahhar, Mohamed M, El-Gayar, Neamat F

“…In some machine learning applications using soft labels is more useful and informative than crisp labels. Soft labels indicate the degree of membership of the…”
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Sentiment Analysis using Unlabeled Email data by Hag Ali, Rayan Salah, El Gayar, Neamat

“…Sentiment Analysis (SA) in the context of text mining is an automated process to detect subjectivity information, such as opinions, attitudes, emotions and…”
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Complementary feature splits for co-training by Salaheldin, Ahmed, El-Gayar, Neamat

“…In many data mining and machine learning applications, data may be easy to collect. However, labeling the data is often expensive, time consuming or difficult…”
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Fuzzy Gaussian classifier for combining multiple learners by Ali, Farid, El Gayar, Neamat, El Ola, Sanaa

“…In the field of pattern recognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method…”
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Score-based fusion using quality measures in a semi-supervised identity verification system by Mamdouh, Tarek, El Gayar, Neamat, El Azab, Iman A

“…The performance of a biome¿trie verification system is affected by how good each user is represented in the user gallery. Due to the infinite number of pose…”
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Investigating analysis of speech content through text classification by Ezzat, S, Gayar, N E, Ghanem, M M

“…The field of Text Mining has evolved over the past years to analyze textual resources. However, it can be used in several other applications. In this research,…”
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Emotions analysis of speech for call classification by Hassan, Esraa Ali, El Gayar, Neamat, Moustafa, M Ghanem

“…Most existing research in the area of emotions recognition has focused on short segments or utterances of speech. In this paper we propose a machine learning…”
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Adaptive biometric verification system using quality-based co-training by Mostafa, T. M., El-Azab, I. A., El-Gayar, N. F.

“…The performance of a biometric verification system may degrade substantially if the input samples vary significantly compared to existing samples in the…”
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Automated Cardiac-Tissue Identification in Composite Strain-Encoded (C-SENC) Images Using Fuzzy K-Means and Bayesian Classifier by Motaal, A G, El-Gayar, N, Osman, N F

“…Composite Strain Encoding (C-SENC) is an MRI acquisition technique for simultaneous acquisition of cardiac tissue viability and contractility images. It…”
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Support Vector Machine ensembles using features distribution among subsets for enhancing microarray data classification by Ahmed, E, El-Gayar, N, El-Azab, I A

“…Support Vector Machines (SVMs) ensembles have been widely used to improve classification accuracy in complicated pattern recognition tasks. In this work we…”
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Body and Visual Sensor Fusion for Motion Analysis in Ubiquitous Healthcare Systems by ElSayed, Mohamed, Alsebai, Abubakr, Salaheldin, Ahmed, El Gayar, Neamat, ElHelw, Mohamed

“…Human motion analysis provides a valuable solution for monitoring the well-being of the elderly, quantifying post-operative patient recovery and monitoring the…”
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Regression in the Presence Missing Data Using Ensemble Methods by Hassan, M.M., Atiya, A.F., El-Gayar, N., El-Fouly, R.

“…We consider the problem of missing data, and develop ensemble-network models for handling the missing data. The proposed method is based on utilizing the…”
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