Nowadays there has been an enormous increase in the amount of available data sets of any kind. As a result, the need of applying techniques to analyze and extract information of those data has become a crucial task. The intelligent analysis of data opens a new way of addressing problems impossible to deal with so far.
The Intelligent Data Analysis Laboratory at the University of Valencia, Spain, is coordinated by Dr. Marcelino Martínez-Sober, who has been conducting research in machine learning for a long time, with plenty of cited papers in the area. IDAL is concerned with the application of techniques coming from very different areas such as statistics, artificial intelligence, data mining, computational statistics, machine learning, optimization, dynamic programming; to real-world data analysis problems. The IDAL has successfully applied those techniques to a wide range of applications in Medicine (Cardiology, Urology, Radiology, Intern Medicine, etc), Pharmacy (Pharmacokinetics, Pharmacodynamics, reinforcement learning in dosage optimization) intelligent processing of biomedical signals, models of prediction in environment, Web mining, marketing, etc.
Recent news
October 11, 2021
The consortium formed by FORD, NUTAI and IDAL-UV has won the project MAPIIA: Advanced Monitoring of Industrial Processes through Artificial Intelligence (Monitorización Avanzada de Procesos Industriales Mediante Inteligencia Artificial) (Exp. INNEST/2021/362). The Agència Valenciana de la Innovació (AVI), within the...
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September 9, 2021
IDAL members collaborate on a research project on the topic "advanced monitoring of industrial processes using Artificial Intelligence", financed by the ERDF funds of the Valencian Community. This project is devoted to the creation of a generic, cross-platform, cyber-physical prototype...
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May 28, 2021
The paper entitled 'Single trajectory characterization via machine learning’ co-authored by IDAL member José D. Martín-Guerrero has been selected by the publisher as one the top five published in 2020 according to its quality, interest awakaned in readers, downloads and citations. The...
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April 11, 2021
IDAL member Prof. José D. Martín-Guerrero, and Prof. Dr. Lucas Lamata, from Universidad de Sevilla, are Guest Editors of a special issue in the journal Applied Sciences on Machine Learning and Physics. The deadline is 31st October 2021. We are welcoming original research...
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December 23, 2020
IDAL member Prof. José D. Martín alongside Prof. Paulo J. G. Lisboa from Liverpool John Moores University and Dr. Alfredo Vellido from Universitat Politècnica de Catalunya are organizing a special session for the International Joint Conference on Neural Networks, to be...
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November 27, 2020
https://youtu.be/x_o4iyAXzNU IDAL has presented a virtual conference on Data Science and its impact on Small and Medium Enterprise (SME). The talk was fostered by enterprise association FECAP. The slides and material used in the conference can be downloaded in the...
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October 26, 2020
IDAL has contributed in the conferences "Open Science for Citizens and Country Development" with a conference titled Data Science, the new environment for the forthcoming society", presented by Rafael Magdalena and held at Aras de los Olmos (Valencia) as a...
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October 8, 2020
IDAL was present at the prestigious European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020). The conference was supposed to be held in April as usual, but due to COVID-19 situation, the conference was postponed to...
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October 8, 2020
Rafael Magdalena, IDAL member attended an interview presenting a Machine Learning introduction that will be hold within next weeks in Expociencia, the Science Fair fostered by Parc Cientific at the University of Valencia. During the Fair, prof. Emilio Soria will...
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October 7, 2020
The Department of Astronomy and Astrophysics at the University of Valencia organises next month a cycle of conferences on Cosmic Architecture in which several professors of the IDAL Group participate. The conferences will be held online and are recognized as...
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