Scope of the Conference

The program committee of the SMC'2017 is soliciting papers of fundamental and applied research in the following topics (but are not restricted to):

Theme 1 : Multicriteria Data Analysis

- Classification and Discrimination

- NP-Hard Problems

- Collaborative Classification

- Supervised and Unsupervised Machine Learning

- Mixed Models, Markov Models, Fuzzy Logics

- Optimization, Visualization

- Neural Networks, Genetic Algorithms

- Spectral Classification, Selection Model

- Cross Validation, Artificial Learning, Support Vector Machines

- Big Data Analysis, Data Integration

Theme 2 : Bioinformatics and Life Science Data Analysis

- Algorithms for Life Sciences

- Big Data for Life Sciences

- Methods and Tools for Omics

- Computational Studies on Biological Networks

- Sequence Analysis and Comparative Genomics

- High Throughput and Next-Generation Sequencing (HTS, NGS)

- Predictive Models for OMICs Data

- Bioinformatics Databases and Algorithms

- Health and Biomedical Data Management and Integration

- Laboratory Information Management Systems (LIMS)

- Biomedical Text Mining

- Bioontologies

 Theme 3 : Multimedia Data Analysis

- Filtering, Transformation, and Multiresolution Processing

- Restauration, Enhancement, High Resolution

- Compression, Transmission, Storage

- Image Segmentation and Classification

- Color, Multispectral and Textured Image Processing

- 3D Image, Stereo Vision

- Video Image Processing

- Biomedical Image Processing and Visualisation

- Image and Signal Processing Applications

- Image and Video Indexation