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. Antonio Serrano-López, 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 16, 2023
After three years of on-line and hybrid conferences, the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) came back to an almost 100% in-person conference, held in Bruges (Belgium) with a great success of attendants and...
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June 1, 2023
Next July 20, the professor of Mathematics of the UAH Sonia Pérez Díaz will give the lecture "Mathematics and Engineering: a holistic approach", in the Conference Room of the ETSE-UV (Salón Pelechano). Mrs Sonia Pérez has a long experience teaching...
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December 14, 2022
Dr. Wael El-Deredy, Professor of the Universidad de Valparaíso (Chile) gave an interesting talk last December 13th. It covered many different aspects of Neuroscience, from the analysis of brain oscillations and prediction of brain activity based on Markov chains to...
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November 16, 2022
Our dear colleague Oscar J. Pellicer-Valero got his PhD last November 14th, after an outstanding viva of his PhD research entitled "Contributions of biomechanical modeling and machine learning to the automatic registration of Multiparametric Magnetic Resonance and Transrectal Echography for prostate brachytherapy”. Oscar started...
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July 21, 2022
Prof. Enrique Solano visited IDAL from 12th to 14th July. Prof. Solano is a renowned contributor in the field of quantum computing, quantum information and quantum technologies. Some of his publications are globally accepted references in the field. He led...
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June 14, 2022
On 16 June, from 9:00 am in the Assembly Hall of the School of Engineering of the University of Valencia (ETSE-UV), the conference on Data, Information and Knowledge will take place as part of the activities organised by the artificial...
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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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