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.
Category: Workshop (Page 3 of 3)
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.
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.
IDAL member José D. Martín is coorganizing the workshop on Data Mining in Biomedical Informatics and Healthcare 2013 DMBIH2013 (http://dampa.cdm.depaul.edu/events/DMBIH13/index.html) in the framework of the IEEE International Conference on Data Mining series (http://icdm2013.rutgers.edu) that will be held next December in Dallas (TX, USA). The workshop is coorganized with members from the German company Fresenius Medical Care, and the American universities of Yale, Oakland and DePaul. Contributions on this interesting topic are welcome.
IDAL members José D. Martín and Emilio Soria recently attended the 7th International Workshop on BioSignal Interpretation, that was held in Como (Italy). Prof. José D. Martín co-chaired the Symposium on Signal Processing and Dialysis treatment, with Dr. Emanuele Gatti, CEO of Fresenius Medical Care EMEALA (Europe, Middle East, African and Latin America). One of the contributions to this symposium was presented by Mr. Carlo Barbieri (Fresenius Medical Care) and dealt with the research carried out within the framework of the fruitful collaboration between IDAL and Fresenius Medical Care i13n the last few years.Ç
IDAL has recently attended a 5-day Workshop in Graphical Models, conducted by José Antonio Gámez, from University of Castilla-La Mancha, (Albacete, Spain).
José A. Gámez was born in Granada (Spain) in 1968. He received his B.Sc. (1989) and M.Sc. (1991) degree in Computer Science from the University of Granada. He got his PhD. in Computer Science in September 1998 at the Dept. of Computer Science and Artificial Intelligence (University of Granada). The topic of the thesis was Partial Abductive Inference in Bayesian Networks.
Since November 1991 he is a member of the Computer Systems Department (formerly Computer Sience Department) at the University of Castilla-La Mancha. Jose A. Gámez started as Assistant Professor and in July 1994 he got a permanent position as Lecturer. In December 2002 he became Associate Professor. During the period September-1998 to September-2004 he served as Vice-Dean in the Polytechnic School (EPSA).
His current research areas are in the field of Bayesian Networks, evolutionary computation and data mining. More info in the Intelligent Systems and Data Mining webpage.