Dear colleague,
Does your research involve adaptive data analysis?
We invite you to submit an experimental, theoretical or review paper to ADSAA-BIOMED2017 - Adaptive Analysis Applied to Biomedical Data, a special issue of the journal Advances in Data Science and Adaptive Analysis.
More information available @ https://easychair.org/cfp/ADSAA-BIOMED2017
Submissions are open @ https://easychair.org/conferences/?conf=adsaabiomed2017
Submission deadline: October 31, 2017
No publication charges.
Journal listed in SJR. Impact factor 0.92.
Experimental, Theoretical and Review papers are accepted.
Suggested topics (not limited to):
- Empirical Mode Decomposition, Bayesian methods, Kalman filtering, machine learning techniques;
- Adaptive analysis applied to biomedical data (e.g., biological signals, such as EMG, ECG, EEG, neural activity, medical images, biomechanical data);
- Adaptive analysis in thematic areas such as burgeoning datasets (Big Data) emerging as a result of wearable wireless systems.
This special issue is led by the ADSAA-BIOMED2017 team.
ADSAA Editor-in-Chief
- Dr. Catherine M. Sweeney-Reed, Otto von Guericke University, Magdeburg, Germany (catherine.sweeney-reed@med.ovgu.de)
- Dr. Nicoletta Nicolaou, University of Reading, Reading, UK (n.nicolaou@reading.ac.uk)
- Prof. Marcus Fraga Vieira, Federal University of Goiás, Goiânia, Brazil (marcus@ufg.br)
- Prof. Teodiano Freire Bastos, Federal University of Espírito Santo, Vitória, Brazil (teodiano.bastos@ufes.br)
- Dr. Sri Krishnan, Ryerson University, Toronto, Canada (krishnan@ryerson.ca)
- Dr. Leonardo Abdala Elias, University of Campinas, Campinas, Brazil (leoelias@fee.unicamp.br)
- Dr. Steffen Walter, University of Ulm, Ulm, Germany (steffen.walter@uni-ulm.de)
We look forward to receiving your contribution.
The ADSAA-BIOMED2017 team
