Special session at ESANN 2017: Biomedical data analysis in translational research
17 views
Skip to first unread message
Michael Biehl
Sep 21, 2016, 6:22:32 PM9/21/16
to Machine Learning News
First call for papers: Special Session at ESANN 2017
"Biomedical data analysis in translational research: integration of expert knowledge and interpretable models."
See: http://www.elen.ucl.ac.be/esann/index.php?pg=specsess#biomedical
ESANN 2017, 26-28 April 2017, Bruges (Belgium)
25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Session organizers
Gyan Bhanot (Rutgers University, New Jersey, USA)
Michael Biehl (University of Groningen, The Netherlands)
Thomas Villmann (Univ. of Applied Sciences Mittweida, Germany)
Dietlind Zühlke (Seven Principles, Germany)
New technologies in various fields of biomedical research have led to a dramatic increase of the amount of electronic data that is available. Not only is the number of patients or amount of disease specific data increasing, but so is the structural complexity of the data, in terms of its dimensionality, multi-modality and inhomogeneity.
A significant problem, recognized by both the bio-medical and computational community, is the lack of coordination among researchers in these disparate communities. On the one hand, integration of expert knowledge is instrumental for successful data analysis and modelling. On the other hand, methods and models should be transparent and interpretable in order to facilitate fruitful trans-disciplinary collaboration.
This special session is meant to attract researchers who develop, investigate, or apply methods of machine learning and statistics in biomedical data analysis, experts from knowledge representation and integration as well as bio-medical researchers with a strong interest in computation and interpretable models.
Topics include, but are not restricted to:
• Structured, inhomogeneous and multi-modal biomedical data
• Feature selection and identification of biomarkers
• Interpretable systems for diagnosis and classification
• Generative models of bio-medical processes
• Visual analytics and data mining
• Big data mining for clinical impact
Submission:
Submitted papers will be reviewed according to the ESANN reviewing process and evaluated based on their scientific value: originality, technical correctness, and clarity. For further information, see the conference web pages http://www.elen.ucl.ac.be/esann/
Important dates:
Paper submission deadline : 19 November 2016
Notification of acceptance : 31 January 2017
ESANN conference : 26-28 April 2017
--
----------------------------------------------------------
Prof. Dr. Michael Biehl
Johann Bernoulli Institute for
Mathematics and Computer Science
P.O. Box 407, 9700 AK Groningen
The Netherlands
"Biomedical data analysis in translational research: integration of expert knowledge and interpretable models."
See: http://www.elen.ucl.ac.be/esann/index.php?pg=specsess#biomedical
ESANN 2017, 26-28 April 2017, Bruges (Belgium)
25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Session organizers
Gyan Bhanot (Rutgers University, New Jersey, USA)
Michael Biehl (University of Groningen, The Netherlands)
Thomas Villmann (Univ. of Applied Sciences Mittweida, Germany)
Dietlind Zühlke (Seven Principles, Germany)
New technologies in various fields of biomedical research have led to a dramatic increase of the amount of electronic data that is available. Not only is the number of patients or amount of disease specific data increasing, but so is the structural complexity of the data, in terms of its dimensionality, multi-modality and inhomogeneity.
A significant problem, recognized by both the bio-medical and computational community, is the lack of coordination among researchers in these disparate communities. On the one hand, integration of expert knowledge is instrumental for successful data analysis and modelling. On the other hand, methods and models should be transparent and interpretable in order to facilitate fruitful trans-disciplinary collaboration.
This special session is meant to attract researchers who develop, investigate, or apply methods of machine learning and statistics in biomedical data analysis, experts from knowledge representation and integration as well as bio-medical researchers with a strong interest in computation and interpretable models.
Topics include, but are not restricted to:
• Structured, inhomogeneous and multi-modal biomedical data
• Feature selection and identification of biomarkers
• Interpretable systems for diagnosis and classification
• Generative models of bio-medical processes
• Visual analytics and data mining
• Big data mining for clinical impact
Submission:
Submitted papers will be reviewed according to the ESANN reviewing process and evaluated based on their scientific value: originality, technical correctness, and clarity. For further information, see the conference web pages http://www.elen.ucl.ac.be/esann/
Important dates:
Paper submission deadline : 19 November 2016
Notification of acceptance : 31 January 2017
ESANN conference : 26-28 April 2017
--
----------------------------------------------------------
Prof. Dr. Michael Biehl
Johann Bernoulli Institute for
Mathematics and Computer Science
P.O. Box 407, 9700 AK Groningen
The Netherlands
Reply all
Reply to author
Forward
0 new messages