Summer School on Computational Intelligence and Applications (SSoCIA)-2019


2019 IEEE CIS Summer School on Computational Intelligence and Applications (2019 IEEE CIS SSoCIA)

 

Introduction

On this year, the Summer School in CI and Applications (2019 IEEE SSoCIA) will be held in Guayaquil-Ecuador, co-located with IEEE LA-CCI 2019. Its purpose is to provide to students, professors, researchers and professionals who are interested in Computer Science and Computational Intelligence to profit from the expertise of the speakers of the main conference. The short courses offered are thought to be useful to both, scientific research as well as application, addressing several problems in the industry, commerce, and government.

This Summer School will be held immediately during the LA-CCI, which will allow complementary objectives of (1) to strengthen fundamental knowledge in CI during the Summer School, and (2) to update the state of the art understanding in CI during the main conference.

 

Objectives

The objective of this Summer School is to provide a platform for Latin-American young researchers and students to experience the recent developments, get hold of the state-of-the-art in computational intelligence methods and applications in several areas. The main goal is to provide to young researchers the opportunity to interact with experts and eminences in CI and exchange ideas and experiences.

In addition, the summer school provides demonstration sessions on CI method, where the participants can obtain experience in situ for practical applications in the topic of interest of this year IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI).

 

Dates

The Summer school will be held on November 11 and 12

 

Place (of Tutorials):

Escuela Superior Politecnica del Litoral, Campus Prosperina. Km 30.5 Via Perimetral.

Facultad de Ingenieria en Electricidad y Computacion, FIEC. “Laboratorios”

IMPORTANT: transportation will be available from the Sheraton Hotel at 8:00 am

 

Program (of Tutorial) – OVERVIEW: 

Tutorial 1

Instructor: James Bezdek, Melbourne University

Date: Monday, November 11, 2019

Hour: 08h30 -13h00

        Basic Pattern recognition. Includes clustering, Attribute extraction and design of classifiers.

 

Tutorial 2

Instructor: Ruben Medina, Universidad de los Andes, Venezuela

Date: Monday, November 11, 2019

Hour: 13h00 – 17h30

        Introduction to machine learning, Support Vector Machine (SVM), Random Forest.

 

Tutorial  3

Instructor: Ruben Medina, Universidad de los Andes, Venezuela

Date: Tuesday, November 12, 2019

Hour: 08h: 00 – 13h00

        Artificial Neural Networks (ANN), Convolutional Neural Networks, Long Short Term Memory (LSTM) Neural networks, applications

 

Tutorial 4

Instructor: James Bezdek, Melbourne University

Date: Tuesday, November 12, 2019

Hour: 13h00 – 17h30

        Visual evaluation and Clustering in Big Data