martes, 6 de noviembre de 2018

Call for papers congreso IWINAC 2019, 2019/01/31


“Call for papers” del congreso IWINAC que se celebrará el 2019 en Almería, España. Los proceeedings (memorias) del congreso se publican en Lecture Notes in Computer Science” de la editorial Springer-Verlag.

"We would like to cordially invite you to submit a paper for IWINAC 2019 Special Session on Machine Learning Methods applied to Big Data Analysis, Processing and Visualization





Almeria, Spain - 3-7 June, 2019  http://www.iwinac.org/iwinac2019/

Aims:

The amount of data available every day is not only enormous, but growing at an exponential rate. Over the last years there has been an increasing interest in using machine learning methods to analyse and visualize massive data generated from very different sources and with many different features: social networks, surveillance systems, smart cities, medical diagnosis, business, cyberphysical systems or media digital data. This special session is designed to serve researchers and developers to publish original, innovative and state-of-the art machine learning algorithms and architectures to analyse and visualize large amounts of data.

This special session provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of *Big Data*, *Machine Learning*, *Pattern Recognition*, *Visualization*,*Media Digital Data*, and many others, to discuss, share experience and explore traditional and new areas of Data analysis, processing or visualization and machine learning combined to solve a range of problems. The objective of the workshop is to integrate the growing international community of researchers working on the application of Machine Learning applied to Big Data analysis, processing and visualization to a fruitful discussion on the evolution and the benefits of this technology to the society.

The topics of interest are those related with big data, but we are particularly interested in candidates who have conducted research in the theoretical or practical aspects of big data – algorithms, machine learning, deep learning, statistical learning methods applied to one or more domains – software engineering, media digital data, bio-informatics, health care, imaging and video, social networks, natural language processing and others. It can be identified by, but are not limited to, the following subjects:

Healthcare and medical diagnosis
Social network modelling
Financial risk assessment
Marketing and E-commerce
Multimedia data mining
Visual surveillance
Application Systems for Big Visual Data Understanding
Education data mining
Location big data mining
Intelligent transportation system
Web mining
Text mining
Sentiment analysis for social media
Network security
Smart cities
Smart government
Smart and cyberphysical devices
Approximate and randomized methods for subspace learning, classification and clustering on Big Data
Nonlinear learning techniques              
Distributed solutions for nonlinear big data processing and analysis
Deep methods for representation learning, clustering and classification on Big Data
Unsupervised and semi-supervised methods for Big Data
Data-driven techniques for representation learning, clustering and classification on Big Data
Big media data on the web and social networks
Big multimedia data (signal, 2D/3D image, video) analysis in medicine, science and engineering
Semantic visual analysis: human activity recognition, face/facial expression recognition, scene understanding, object detection and tracking, saliency detection
Big Media Data applications, including media data summarization, post-processing, search and retrieval, video surveillance, robotics
Big Media Data description, visualization and analytics
Big cross-media analytics

Important dates:
Paper Submission Deadline:
January 31, 2019

Paper acceptance notification date:
April 30, 2019

Conference:
June 3-7, 2019

Chairs:

José García-Rodríguez -University of Alicante (Spain)
Enrique Domínguez – University of Malaga (Spain)
Jaime Oswaldo Salvador Meneses - Universidad Central del Ecuador (Ecuador)
Zoila Ruiz - Universidad Central del Ecuador (Ecuador)

Contact:

Main Conference webpage: http://www.iwinac.org/iwinac2019/

Special session webpage: http://www.dtic.ua.es/~jgarcia/IWINAC2019/ ... "




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