IDAL has recently participated in the 2nd IEEE International Conference on Biomedical and Health Informatics, that was held in the nice Las Arenas resort in Valencia from 1st to 4th June. IDAL participated with a work dealing with the use of Machine Learning techniques applied to plan the implantation of intracorneal rings in Keratoconus patients and also organizing a special session on interpretable Machine Learning models on biomedicine and health.
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IDAL is involved in the organization of the Special Session “Emerging trends in Computational Intelligence methods for Biomedicine and Healthcare”, in the upcoming International Joint Conference on Neural Networks that will be held in Killarney (Ireland) from 12th to 17th July, 2015. Papers can be submitted up to 15th January 2015 accessing here. The Special Session must be selected as ‘Main Research Topic” in the paper submission form. More info about the Special Session available at this link
Expociencia is a doors open day organized by the University of Valencia Technology Park with the collaboration of theSchool of Engineering of the University of Valencia. Since 2012, IDAL has participated in this festive day focused on bringing science and technology closer to the broad public, especially children. Last May 24th, we were setting up an activity called “My body is electric” in which attendants saw how some of their electric biosignals were acquired and processed.
IDAL is co-organizing a special session entitled “Computational Intelligence Challenges for Health & Wellbeing”, in the 2014 IEEE Symposium Series on Compitational Intelligence (IEEE SSCI 2014), Symposium on Computational Intelligence and Data Mining. The CFP is available at http://www.cms.livjm.ac.uk/cichw/. Deadline for paper submissions is next June, the 15th.
IDAL is involved in the organization of the workshop “Data Mining in Biomedical Informatics and Healthcare (DMBIH) 2014”, within the framework of the IEEE International Conference on Data Mining series (IEEE-ICDM) that will be held next December in Shenzhen (China). The CFP is available at http://dampa.cdm.depaul.edu/events/DMBIH14/index.html. Workshop paper submissions will be open until August, the 1st.
IDAL members José D. Martín, Juan Gómez, Pablo Escandell and José Mª Martínez participated in the review meeting of SMARTPIF project (www.smartpif.eu) that was held at INESCOP premises (Elda, Alicante) last March 11th. All SMARTPIF partners, the Project Officer and an external reviewer attended this meeting with the purpose of assessing the work already done in the project and the plans for the second period.
IDAL members Emilio Soria and Joan Vila are spending some time in Fortaleza (Brazil) teaching a course on Data Mining to students form Labomar (Sea Sciences Institute). It is also expected to start working and research collaborations with some research gruops in Brazil.
IDAL is co-organizing a special session entitled “Towards interpretable machine learning applications in biomedicine and health”, in the IEEE-EMBS International Conference on Biomedical and Health Informatics, that will be held in Valencia from 1st to 4th June 2014. Contributions on this exciting topic are encouraged. More information in the official call for papers.
More info here.
IDAL has today released to the public its new web page. The change is motivated to update the CMS to a more secure version, a change in the aesthetic of the web, more modern (in our opinion) and a lighter menu and content estructure. We hope you enjoy our new appearance.
Farewell, old page! May the force be with you.
We are experiencing a data revolution in both sciences and industry. This is in part the result of cheaper data capture and storage technology, but it is also the culmination of a cultural transformation in the commercial world, whereby data are now viewed as a source of actionable insights, much like in the sciences. Some IDAL members have attended recently a Workshop held in the Imperial College of London focused in Big Data.
Largely the focus of the Big Data revolution has until recently been on infrastructural developments, such as the Apache Hadoop project. And yet, the availability of Big Data can be little more than a lost opportunity without respectively powerful analytics. The statistics and machine learning communities have risen to this challenge, with a growing part of their respective l
iterature dedicated to the challenges posed by Big Data, popularly known as the four “V”s: enabling scalability with respect to Velocity and Volume, as well as analysing data of a Variety of types, including altogether novel types (e.g., network data) – while ensuring Veracity of insights through adopting the use of principled statistical methods. And yet, integration of cutting edge statistical methodology with the latest infrastructural technologies has been less forthcoming in practise.
This workshop aims to help bridge that perceived gap, by bringing together world-renowned academic experts on Big Data, with representatives from innovative companies that have embraced Big Data in practise.
The workshop is sponsored
by the EPSRC, Royal Statistical Society and Mental Innovations.