EvoIASP 2017
Evolutionary Computation in Image Analysis, Signal Processing
and Pattern Recognition
Important notice
Due to a large number of request for late submissions, the EvoStar submission sites will stay open until this Tuesday 15 November 23:59:59 SST, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time.
The recipients of the "EvoAPPLICATIONS Best Paper Awards" will be
invited to submit an extended version of their works to a special
issue of Memetic Computing.
Evolutionary algorithms have been shown to be tools which can be used
effectively in the development of systems (software or hardware) for image
analysis, signal processing and pattern recognition in complex domains of
high industrial and social relevance.
The longest-running of all EvoApplications tracks, EvoIASP started in 1999
as a workshop, the first event ever specifically dedicated to the
applications of evolutionary computation to image analysis and signal
processing (IASP), as well as to Pattern Recognition.
EvoIASP aims to offer European and non-European researchers in those
fields, as well as people from industry, an opportunity to present
their latest research and to discuss current developments and
applications, besides fostering closer future interaction between members
of the three scientific communities.
Areas of Interest and Contributions
Topics of interest include, but are not limited to:
- applications of evolutionary computation to real-world image analysis
- signal processing and pattern recognition problems
- evolvable vision and signal processing hardware
- hybrid approaches to machine vision, signal processing and pattern recognition including evolutionary components
- theoretical developments
- comparisons between different evolutionary techniques and between evolutionary and non-evolutionary techniques in image analysis, signal processing and pattern recognition applications
- time series analysis by means of EC techniques
Programme Committee
- Michele Amoretti (University of Parma, Italy)
- Lucia Ballerini (University of Dundee, UK)
- Vitoantonio Bevilacqua (Politecnico di Bari, Italy)
- Leonardo Bocchi (University of Florence, Italy)
- Nicola Bova (Opportunity Network, Spain)
- Fabio Daolio (Shinshu University, Japan)
- Ivanoe De Falco (ICAR - CNR, Italy)
- Antonio Della Cioppa (University of Salerno, Italy)
- Laura Dipietro (Cambridge, USA)
- Marc Ebner (Ernst Moritz Arndt University, Greifswald, Germany)
- Francesco Fontanella (University of Cassino, Italy)
- Oscar Ibañez (University of Granada, Spain)
- Mario Koeppen (Kyushu Institute of Technology, Japan)
- Evelyne Lutton (INRIA, France)
- Pablo Mesejo Santiago (INRIA, France)
- Ferrante Neri (De Monfort University, UK)
- Riccardo Poli (University of Essex, UK)
- Sara Silva (INESC-ID Lisbon, Portugal)
- Stephen Smith (University of York, UK)
- Andy Song (RMIT, Australia)
- Giovanni Squillero (Politecnico di Torino, Italy)
- Andrea Valsecchi (European Center of Soft Computing, Spain)
- Leonardo Vanneschi (Universidade Nova de Lisboa, Portugal)
- Bing Xue (Victoria University of Wellington, New Zealand)
EvoIASP track chairs
- Stefano Cagnoni
University of Parma, Italy
cagnoni(at)ce.unipr.it
- Mengjie Zhang
Victoria University of Wellington, New Zealand
mengjie.zhang(at)ecs.vuw.ac.nz