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META-HEURISTICS  October 2017

META-HEURISTICS October 2017

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Subject:

[CFP - 1 week to deadline] EvoBIO 2018, Evolutionary Computation, Machine Learning and Data Mining for Biology and Medicine Track, Evo* 2018

From:

Jaume Bacardit <[log in to unmask]>

Reply-To:

Jaume Bacardit <[log in to unmask]>

Date:

Tue, 24 Oct 2017 11:26:26 +0100

Content-Type:

text/plain

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text/plain (105 lines)

*****************************************************************************
* EvoBIO 2018 - Evolutionary Computation, Machine Learning and Data
* Mining for Biology and Medicine
* Parma, Italy, 4-6 April 2018
* A track of EvoApplications, part of Evo* 2018 (http://www.evostar.org)
*
* Submission Deadline: *1st of November 2017*
*****************************************************************************

* Aims and scope

Join us in Parma for EvoBIO, a multidisciplinary track that brings 
together researchers working in Bioinformatics, Medical Applications and 
Computational Biology that apply advanced techniques coming from 
Evolutionary Computation, Machine Learning, and Data Mining to address 
important problems in medical applications and biology, from the 
molecular and genomic dimension, to the individual and population level.

As part of EvoApplications, this year EvoBIO is accepting two kinds of 
submission: full papers and short papers. Full papers require novel and 
complete research work and have a limit of 16 pages. Short papers should 
present complete research or interesting preliminary results and have a 
limit of 8 pages. Both types of submission will undergo the same double 
blind review process and all accepted papers will be included in the 
LNCS proceedings. Based on reviewers’ assessment,  accepted full papers 
will be presented as full length talks, and authors of accepted short 
papers will present a short talk as well as present a poster.  All 
authors of accepted papers will be given the opportunity to further 
disseminate their work in poster sessions.

Authors of selected publications will be invited to submit an extended 
version of their work to Springer's Genetic Programming and Evolvable 
Machines (GPEM, impact factor: 1.514, fast track review process).

Possible topics of interest include, but are not limited to:
- Medical imaging, signal processing and text analysis
- Data mining medical data and records
- Clinical expert systems
- Modelling and simulation of medical processes
- Drug description analysis
- Patient-centric care
- Interpreting genomic or metagenomic data
- Discovering regulatory or expression pathways
- Rational drug design and personalized medicine
- Modeling ecosystems or population dynamics
- Discovering genome-disease or genome-phenotype associations
- Biomedical text/data mining and visualization
- Network biology/medicine
- Omics data analysis and functional genomics for complex diseases
- Gene-gene interactions and gene-environment interactions for disease 
association analysis
- Protein Structure Prediction
- Assembling next generation sequence data


For more information, visit our web page at 
http://www.evostar.org/2018/, or follow us on Twitter @EVOBio2018 or 
email to evobio.conference(at)gmail.com

* Important dates

- Submission Deadline: 1 November 2017
- Notification: 3 January 2018
- Camera-ready: 15 January 2018
- Mandatory registration per paper: 1 February 2018
- EvoStar dates: 4-6 April 2018

* Submission Details

Submissions must be original and not published elsewhere. They will be 
peer reviewed by at least three members of the program committee. The 
reviewing process will be double-blind, so please omit information about 
the authors in the submitted paper. Submit your manuscript in Springer 
LNCS format (limit of 8 pages for short papers or 16 pages for full 
papers). Please provide up to five keywords in your Abstract

Submission link: https://myreview.saclay.inria.fr/evoapps18/


* EvoBIO Programme Chairs

- Jaume Bacardit, Newcastle University, Newcastle, UK
      jaume.bacardit(at)newcastle.ac.uk
- Federico Divina, Universidad Pablo de Olavide, Sevilla, Spain
      fdivina(at)upo.es



-- 
-------------------------------------------------------------------
Jaume Bacardit, PhD
Reader in Machine Learning
Newcastle University

The Interdisciplinary Computing and Complex BioSystems research group.
Web: http://www.ico2s.org/
Twitter: @ico2s
School of Computing, Newcastle University.
Newcastle-upon-Tyne, United Kingdom

Email: jaume _dot_ bacardit _at_ newcastle.ac.uk _dot_ ac _dot_ uk
Web: http://homepages.cs.ncl.ac.uk/jaume.bacardit
Twitter: @jaumebp
--------------------------------------------------------------------

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