posted by system || 170 views

MaLOTA 2015 : Machine Learning and Optimization: Trends and Applications


When Apr 20, 2015 - Apr 22, 2015
Where Prague, Czech Republic
Submission Deadline Jan 30, 2015
Notification Due Feb 15, 2015
Final Version Due Mar 30, 2015

Call For Papers

Call for Papers on ICCMIT 2015:

“MaLOTA: Machine Learning and Optimization: Trends and Applications”

As part of:
International Conference on Communication, Management and Information Technology (ICCMIT'15)
Prague, Czech Republic
April 20-22, 2015

Objective and Motivation
Machine learning is a concept which aims to learn from given data to make accurate predictions and intelligent decisions from this data. This concept is being used decades ago in many applications such as medical applications, biometric authentication, image retrieval, and others. Since the emerging of the Big Data, obtained from different field such as meteorology, genomics, finance, healthcare, social media and web data, the importance of the machine learning became very crucial for the decision makers. Optimization is one of the statistical learning approaches. It could be used in various applications to find the minimal cost, maximal profit, minimal error, optimal design, and others. It has a vital role in designing smart/intelligent systems, e.g. recommender systems, search engines, image retrieval/recognition, computer vision and others. The advance of these systems requires the development of new optimization techniques to enhance the learning algorithms of the applied machine learning techniques. In general, optimization provide offers a valuable framework for reasoning about, formulating, analyzing, and solving different problems in machine learning.
The aim of this session is to attract researchers and practitioners from academia and industry, and provide a discussion environment in order to share their experiences of the state-of-the-art in optimization relevant to machine learning

Scope and Interests

Machine Learning and optimization are currently very important techniques for many computing applications. Examples of these applications include data-mining, data analytics and features extraction of Big Data, information retrieval, speech recognition, computer vision. They can also be used to improve the performance of security, and privacy techniques. The session welcomes Submissions must be original and should not have been published previously. Topics of interest include but are not limited to:
• Novel machine learning techniques
• Novel optimization algorithms and its application in machine learning application
• Crowd-sourcing and machine learning
• Big data analytics based on machine learning techniques
• Theoretical of machine learning and optimization algorithms
• Nature inspired machine learning algorithms
• Evolution-based machine learning approaches
• Biological inspired Optimization
• Large Scale Optimization
• New feature extraction techniques

Paper Submission Important Dates

The authors are invited to submit their contributions formatted according to the submission templates posted on the ICCMIT 2015 website: Submitted papers will be refereed by at least two reviewers for quality, correctness, originality, and relevance. All accepted papers will be submitted for indexing by ISI, SCOPUS, and Google Scholar.

Paper abstract submission: until January 30, 2015
Notification of acceptance: February 15, 2015
Final paper submission and authors camera ready: March 30, 2015
Conference Dates: April 20-22, 2015

Session Organizers:
Chair: Prof. Aboul Ella Hassanien

Faculty of Computers and Information Science
Cairo University, Cairo, Egypt
Beni-Suef University, Beni-suef, Egypt
Scientific Research Group in Egypt (

Co-chair: Dr. Tarek Gaber

Assistant Professor
Department of Computer Science
Faculty of Computers & Informatics
Suez Canal University, Old Campus, Ismailia, Egypt.
Member at SRGE Research Group.
Postdoctoral Fellow at VSB-Technical University Ostrava, Ostrava, Czech.

Co-chair Dr. Mohamed Mostafa Fouad

Assistant Professor
Arab Academy for Science, Technology, and Maritime Transport, Cairo, Egypt
Member of SRGE Research Group.
Postdoctoral Fellow at VSB-Technical University of Ostrava, Ostrava, Czech Republic.

Related Resources

ETHE Blearning 2017   Blended learning in higher education: research findings
ICMLA 2017   16th IEEE International Conference On Machine Learning And Applications
ACML 2017   The 9th Asian Conference on Machine Learning
SI-SoftMM 2017   Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications
ICONIP 2017   International Conference on Neural Information Processing
Drone Surveillance 2017   IEEE Communications Magazine Feature Topic on Amateur Drone Surveillance: Applications, Architectures, Enabling Technologies, and Public Safety Issues
IPTA 2017   International Conference on Image Processing Theory, Tools and Applications
ICPR 2018   24th International Conference on Pattern Recognition
DMBD 2017   DMBD'2017:Call for Papers (Jan. 30, 2017)
IEEE SSCI 2017   2017 IEEE Symposium Series on Computational Intelligence