RESEARCH PROJECTS

EMERALD

EMERGING TRENDS IN DATA ANALYSIS

Project EMERalD (EMERging trends in Data analysis) has as main objective to develop data analysis methodologies/proposals for solving complex problems in biomedicine and education.

Status: In progress
Funding entity: Spanish Ministry of Economy and Competitiveness
Duration: January 2018 – December 2020
Budget: 174,400 €

MARFIL

MINING DATA WITH MORE FLEXIBLE REPRESENTATIONS

Project MARFIL (Mining data with more flexible representations) has as objective to develop novel approaches for knowledge extraction in those contexts demanding some additional flexibility in data representation.

Status: Finished
Funding entity: Spanish Ministry of Economy and Competitiveness
Duration: January 2015 – December 2017
Budget: 69,900 €

iNsPIrED

NEW CHALLENGES IN KNOWLEDGE DISCOVERY: A GENETIC PROGRAMMING APPROACH

The Project iNsPIrED (New Problems In knowlEdge Discovery) has the main objective of developing new knowledge discovery methodologies using genetic programming and other evolutionary computation approaches, as well as their application in several real-world problems.

Status: Finished
Funding entity: Spanish Ministry of Economy and Competitiveness
Duration: January 2012 – December 2014
Budget: 63,526 €

KEEL-CTNC

KEEL: CURRENT TRENDS AND NEW CHALLENGES

The project KEEL-CTNC focuses on the extraction of knowledge based on genetic and evolutionary learning algorithms. KEEL integrates the construction and use of specific modules collecting the algorithms that make the state of the art on specific topics, such as module for fuzzy systems, learning algorithms module from low quality data (data vague and incomplete), unbalanced dataset learning algorithms, etc.

Status: Finished
Funding entity: Spanish Ministry of Economy and Competitiveness
Duration: January 2009 – December 2011
Budget: 112,530 €

ATECSE

APPLICATION OF KNOWLEDGE EXTRACTION TECHNIQUES OVER EDUCATIONAL ENVIRONMENTS

ATECSE project (Application of Knowledge Extraction Techniques over Educational Environments) is located in the context of the research area called Educational Data Mining (EDM) and consist of applying knowledge extraction techniques over the data generated/provided by educational domains. Our objective is to obtain new useful knowledge/information to the implicated agents/users (mainly, instructors/teacher and academic authorities).

Status: Finished
Funding entity: Regional Government of Andalucia
Duration: January 2009 – January 2013
Budget: 172,743.68 €

 

RESEARCH CONTRACTS

dreaMS, A telehealth tool for monitoring and treatment of Multiple Sclerosis patients (dreaMS)

Healios, UCO, IMIBIC

Multiple Sclerosis (MS) is one of the most common neurological disorders, which progression over 20 years leads to high patient disability and death. Detection of disease progression is unreliable with existing tool and leave patients at great risk of increased disability. dreaMS aims to support precise diagnosis and treatment optimisation by developing a new type of biomarkers through the use of consumer devices and data science. The solution will result in improved patient outcomes and well-being and new health economic benefits for the health system.

Status: TODO
Duration: TODO
Budget: 174,700 €

Incorporation of Educational Data Mining Processes into the different e-learning applications of the Santillana Group: application of predictive models in production and comparison of educational centres.

Santillana Editorial Group

Status: Finished
Duration: 01/01/2016 – 01/01/2017
Budget: 40,000 €

Incorporation of Educational Data Mining Processes into the different e-learning applications of the Santillana Group: design and implementation.

Santillana Editorial Group

Status: Finished
Duration: 20/05/2015 – 20/11/2015
Budget: 24,000 €

Incorporation of Educational Data Mining Processes into the different e-learning applications of the Santillana Group: analysis and preparation of information.

Santillana Editorial Group

Status: Finished
Duration: 27/11/2014 – 27/05/2015
Budget: 18,000 €

Incorporation of Artificial Intelligence Techniques to an Editor of Adaptive Hypermedia Intelligent Courses

What Look You For (WUL4)

Status: Finished
Duration: 26/06/2014 – 26/06/2015
Budget: 600 €

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