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Gomaa, W. H., and A. A. Fahmy, "Automatic scoring for answers to Arabic test questions", Computer Speech & Language, vol. 28, issue 4, pp. 833-857, 2014. fca58871a4bdb57ef6cf40030733ce01.pdf
Wanas, N., M. El-Saban, H. Ashour, and W. Ammar, "Automatic scoring of online discussion posts", Proceedings of the 2Nd ACM Workshop on Information Credibility on the Web, pp. 19–26, 2008. Abstract
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Anter, A. M., A. E. Hassanien, and G. Schaefer, "Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension", 2nd IAPR Asian Conference on Pattern Recognition (ACPR), 2013 , Okinawa, Japan. , 5 Nov. , 2013.
Anter, A. M., A. E. Hassanien, and G. Schaefer, "Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension", Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on: IEEE, pp. 937–941, 2013. Abstract
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Kandil, A. H., and O. A. Hassan, "Automatic Segmentation of Acute Leukemia Cells", International Journal of Computer Applications, vol. 133, issue 0975 – 8887, 2016.
El-Shahawy, M. S., A. El-Antably, N. Fawzy, and A. S. Fahmy, AUTOMATIC SEGMENTATION OF DIABETIC MACULAR EDEMA IN FUNDUS FLUORESCEIN ANGIOGRAMS, , 2011. Abstract

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Nagiub, M., and W. Farag, "Automatic selection of compiler options using genetic techniques for embedded software design", IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 19 November, 2013. pid2952933.pdf
Abdallah, M., A. M. Moussa, M. A. Rashwan, S. M. Abdou, and H. Al-Barhamtoshy, "Automatic Selection of Speech Data based on Confidence Measure", International Journal of Engineering & Technology, vol. 8, issue 1.11, pp. 158-160, 2019. ijet-28186.pdf
Attia, Z. E., W. M. Arafa, and M. H. Gheith, "An Automatic Short Answer Correction System Based on the Course Material ", International Journal of Intelligent Engineering and Systems, vol. 11, pp. 159-168, 2018.
Hassan, S., A. Fahmy, and M. El-Ramly, "Automatic short answer scoring based on paragraph embeddings", International Journal of Advanced Computer Science and Applications (IJACSA), vol. 9, issue 10, pp. 397–402, 2018. paper_48-automatic_short_answer_scoring.pdf
Zawbaa, H. M., and A. E. Hassanien, Automatic Soccer Video Summarization, , Cairo, Cairo Unversity, 2012. Abstract

This thesis presents an automatic soccer video summarization system using machine learning (ML) techniques. The proposed system is composed of ve phases. Namely; in the pre-processing phase, the system segments the whole video stream into small video shots. Then, in the shot processing
phase, it applies two types of classi cation (shot type classi cation and play / break classification) to the video shots resulted from the pre-processing phase. Afterwards, in the replay detection phase, the proposed system applies two machine learning algorithms, namely; support vector machine (SVM) and arti cial neural network (ANN), for emphasizing important segments with championship logo appearance. Also, in the excitement event detection phase, the proposed system uses both machine learning algorithms for detecting the scoreboard which contain an information about the score of the game. The proposed system also uses k-means algorithm and Hough line transform for detecting vertical goal posts and Gabor lter for detecting goal net. Finally, in the event detection and summarization phase, the proposed system highlights the most important events during the match. Experiments on real soccer videos demonstrate encouraging results. The event detection and summarization has attained recall 94% and precision 97.3% for soccer match videos from ve international soccer championships.

Zawbaa, H. M., and A. E. Hassanien, Automatic Soccer Video Summarization, : Cairo Unversity, 2012. Abstract
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El-Saban, M., Automatic Soccer Video Summarization, , Submitted. Abstract
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Kadah, Y. M., and X. Hu, "Automatic Suppression of Spatially Variant Translational Motion Artifacts in Magnetic Resonance Imaging", International Conference on Image Processing, pp. 24–28, 1998. Abstract
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Bahgat, R., A. Khamis, and R. AbdelAziz, "Automatic Test Data Generation using Data Flow Information ", Dergisi Journal, Dogus University, Turkey, vol. 2, pp. 140-153, 2000.
Hassan, S., A. Wahba, and A. Badr, "Automatic test pattern generation from high level specifications", Midwest Symposium on Circuits and Systems, vol. 3, 2003. Abstract
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ElGhazaly, T., "Automatic Text Classification Using Neural Network and Statistical Approaches", Intelligent Natural Language Processing: Trends and Applications: Springer, Cham, pp. 351–369, 2018. Abstract
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Kadah, Y. M., A. A. Farag, A. - B. M. Youssef, and A. M. Badawi, Automatic tissue characterization from ultrasound imagery, , vol. 2055, pp. 283–294, 1993. Abstract
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Kadah, Y. M., A. A. Farag, A. - B. M. Youssef, and A. M. Badawi, "Automatic tissue characterization from ultrasound imagery", Optical Tools for Manufacturing and Advanced Automation: International Society for Optics and Photonics, pp. 283–294, 1993. Abstract
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Kadah, Y. M., A. A. Farag, A. - B. M. Youssef, and A. S. Badawi, "Automatic tissue characterization from ultrasound imagery [2055-23]", PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING: SPIE INTERNATIONAL SOCIETY FOR OPTICAL, pp. 283–283, 1993. Abstract
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Abdulfatah, M. F., N. Ismail, M. Hamdi, and R. El-Sherif, "Automatic Tube Compensation(ATC) Versus Pressure Support Ventilation (PSV) During Weaning From Mechanical Ventilation", EJICT, vol. 5, issue (1) March, pp. 21-27, 2015.
Ammar, M. E., and G. A. Dumont, "Automatic tuning of paper machines cross-direction controllers via linear matrix inequalities", Journal of Electrical Systems and Information Technology, vol. 2, no. 3: Elsevier, pp. 283–295, 2015. Abstract

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Ammar, M. E., and G. A. Dumont, "Automatic tuning of robust constrained cross-direction controllers", International Journal of Adaptive Control and Signal Processing, vol. 30, issue 11, pp. 1550–1567, 2016. Abstract

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Xiao, K., S. H. Ho, and others, "Automatic unsupervised segmentation methods for mri based on modified fuzzy c-means", Fundamenta Informaticae, vol. 87, no. 3-4: IOS Press, pp. 465–481, 2008. Abstract
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Xiao, K., S. H. Ho, and others, "Automatic unsupervised segmentation methods for mri based on modified fuzzy c-means", Fundamenta Informaticae, vol. 87, no. 3-4: IOS Press, pp. 465–481, 2008. Abstract
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