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IDAL holds an event about Open Data

September 28, 2016 / jovifran

On the 27th of September, IDAL organized the event “Open Data: new challenges for Society” at the School of Engineering of the University of Valencia. The event was focused on explaining the advantages of open data for society. In the event, different speakers participated from both technological firms as well as public organisms, which shared their knowledge on data science.

Data science is revolutionising many aspects of society. Open and shared data are resulting in great changes in business models, as well as in the way of understanding the government. In the Open Data Conference of 27 September at the ETSE-UV all these issues were explained and we deepen on the different perspectives in the field of study.
Open Data generate a cycle of richness and transparency that benefits society as never seen before. New development and management models appear by using this kind of data that has not stopped growing in volume and diversity during the last years. They are data related to people, societies, firms, public organisms, etc. and that are available to be used.
Among others, the participants of the event were the Autonomous Secretary for Transparency, Zulima Pérez Seguí; Pilar Campíns Falcó, Vice-Principal for Research of the Universitat de València; and Emilio Soria Olivas, Full University Professor of the Universitat and representation of Tinámica, Wolfram Alpha and GMV.

Open Data event at the School of Engineering, UV

IDAL organizing a special session in ESANN 2017

September 20, 2016 / jovifran

IDAL members José D. Martín and Emilio Soria are involved in the organization of a special session at the 25^th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) that will take place, as traditionally, in Bruges (Belgium) from 26^th to 28^th April 2017. The topic of the special session is “Randomized Machine Learning approaches: analysis and developments”. More info can be found at https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#random The deadline for paper submission is November 19^th. We are looking forward to receiving interesting contributions!

Stay at LJMU working on Quantum Clustering

September 20, 2016 / jovifran

José D. Martín enjoyed a research stay at the Department of Applied Mathematics of the Liverpool John Moores University (LJMU), UK, working with the group led by Professor Paulo Lisboa. Jose was granted by the Spanish Ministry of Education, Science and Sport within the Program for Senior Researchers; he stayed from May to September working on different issues related to Quantum Machine Learning, with special emphasis on Quantum Clustering, where relevant progresses have been made, enhancing the original formulation especially in terms of dealing with non-spherical structures and fluctuations in the density of data points, thus finding a natural number of clusters.

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Carlo Barbieri gets his PhD

July 28, 2016 / jovifran

Last July 18th, Carlo Barbieri got a PhD with the work entitled “Anemia management in End Stage Renal Disease patients undergoing dialysis: a comprehensive approach through machine learning techniques and mathematical modeling”. This research work has been carried out within the framework of the close collaboration between Fresenius Medical Care (FME) and IDAL. The PhD was supervised by IDAL members José D. Martín and Emilio Soria as well as by Prof. Bernard Canaud, Chairman of the FME Medical Board for Europe, Middle East, Africa and Latin America. The breakthrough research conducted by Carlo was shown up in his excellent viva, that was qualified as Excellent Cum-Laude, the maximum grade for a PhD thesis. The panel of examiners was chaired by Dr. Stefano Stuard (Vice President at FME Europe, Middle East and Africa); Dr. Marcelino Martínez (University of Valencia) was the Secretary of the panel, and Dr. Ignacio Díaz was the external examiner. Congratulations Carlo for your great work!

Prof. Emilio Soria presents a conference about Big Data in Social Sciences

June 28, 2016 / jovifran

Prof. Emilio Soria presented on 14th of June an introductory conference regarding Big Data and data analysis in the 2.0 society invited by the Social Sciences Faculty of the University of Valencia. The available sources of information have experimented a notable growth which can not be ignored by the social analysis. Prof. Emilio Soria discussed during the conference under this premise the applications, uses and potential of the Big Data analysis for Social Sciences and the investigation of social phenomena

IDAL in the 2nd Workshop on the Physics of Cancer

May 11, 2016 / jovifran

IDAL member prof. Emilio Soria presented a invited speak called “Predictive Analytics on Healthcare” during the Second Workshop on the Physics of Cancer. The workshop was organized by the Valencian Institute of Oncology (IVO, Instituto Valenciano de Oncología) and took place on the 17th of May of 2016. The 21st century may be the century where all sciences meet and converge. The fusion of physics, biology, mathematics, engineering, medicine and data science may well be one of the most fruitful ones in the history of humanity, and indeed the most useful one in the fight against cancer. In particular, predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. Therefore, predictions can range from responses to medications to hospital readmission rates, achieving an improvement on the Healthcare system in different ways.

Prof. Emilio Soria presents a conference at the Economics Faculty of the University of Valencia

May 9, 2016 / jovifran

Prof. Emilio Soria will present an interesting conference about “Big Data and Predictive Analytics: the data business” at the Economics Faculty of the University of Valencia next 13th of May. Big data is growing fast as organizations devote technology resources to tapping the terabytes of data flowing into their organizations and externally in social media data and other sources. Prof. Emilio will show how to make profit of this data and what does this all mean for business intelligence users and systems.

IDAL in ESANN 2016

May 5, 2016 / jovifran

IDAL members José D. Martín, Marcelino Martínez and Fernado Mateo attended the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), that according to more than two decades of tradition was held in Bruges (Belgium), from 27th to 30th April. IDAL presented three works in the conference: “Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data”, “Performance assessment of quantum clustering in non-spherical data distributions”, and “Physics and Machine Learning: Emrging Paradigms”, which actually was the tutorial of a special session with the same name, that was organized by José D. Martín, Alfredo Vellido (Technical University of Catalonia) and Paulo J. G. Lisboa (Liverpool John Moores University). The conference was a success with many works dealing with cutting-edge methods and the hottest current technologies in the field.

IDAL organises an event about Big Data

April 19, 2016 / jovifran

The past 12th of April, IDAL organised the event “Big Data and Predictive Analytics: new opportunities for industry and society”, at the School of Engineering. The event was focused on the application of Data Science techniques to real problems. The event was held by several relevant figures of the industry, who exposed to the public their experiences and their vision onto the future of the Big Data topic. The event was sponsored by the consultancy companies TINÁMICA, EVERIS, GMV and CAP GEMINI.

IDAL setting up DISMOD consortium towards AKIPREV project

April 6, 2016 / jovifran

Dr. José D. Martín on behalf of IDAL attended the kick-off meeting of DISMOD, an international consortium involving medical and technological partners, very relevant in their respective fields. The meeting was held in Madrid last March 8th, and as a result of it, DISMOD will make the necessary arrangements to apply for a project whose tempative acronym is AKIPREV. The final result of AKIPREV will be a tool to predict the probability of undergoing Acute Kidney Injury (AKI), thus helping nephrologists in their daily routine since AKI is a very unpredictable injury at present.

IDAL. Intelligent Data Analysis Laboratory