<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">------------------------------</span><span style="font-family:Arial,Helvetica,sans-serif">------------------------------</span><span style="font-family:Arial,Helvetica,sans-serif">---------------------------</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">CFP:</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Special Session on "Ensemble Learning and Applications"</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">2019 International Joint Conference on Neural Networks (IJCNN)</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">July 14-19 2019, Budapest, Hungary</span><br style="font-family:Arial,Helvetica,sans-serif"><a href="https://www.ijcnn.org/" rel="noreferrer" target="_blank" style="font-family:Arial,Helvetica,sans-serif">https://www.ijcnn.org/</a><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Important Dates:</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Paper submission: 15 December 2018</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Notification of acceptance: 30 January 2019</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Aims and Scope:</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Ensemble Learning (EL) aims at combining multiple classifiers/regressors </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">to increase the precision of a whole system. Ensembles are often much </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">more accurate than the base-classifiers that compose it. EL has been </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">successfully used in a lot of fields covered by the IJCNN conference, </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">such as machine learning, data mining, pattern recognition, </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">bioinformatics, and collective intelligence. This special session aims </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">to bring together the current research progress on Ensemble Learning </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">theories and their Applications.</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Original contributions are welcome, covering the whole range of </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">theoretical and practical aspects, technologies and systems for Ensemble </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Learning. The main topics of this special session include, but are not </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">limited to, the following:</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Ensemble Learning</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Multiple Classifier/Regressor Systems</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Dynamic Classifier/Regressor Selection</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Dynamic Ensemble Selection</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Ensemble of One-class classification</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Ensemble and Semi-supervised learning</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Applications that combine multiple classifiers/regressors</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Submission:</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- For paper guidelines please visit </span><br style="font-family:Arial,Helvetica,sans-serif"><a href="https://www.ijcnn.org/paper-submission-guidelines" rel="noreferrer" target="_blank" style="font-family:Arial,Helvetica,sans-serif">https://www.ijcnn.org/paper-submission-guidelines</a><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- For submissions please select the single topic "S19. Ensemble Learning </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">and Applications" from the "S. SPECIAL SESSIONS" category as the main </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">research topic on </span><a href="https://ieee-cis.org/conferences/ijcnn2019/upload.php" rel="noreferrer" target="_blank" style="font-family:Arial,Helvetica,sans-serif">https://ieee-cis.org/conferences/ijcnn2019/upload.php</a><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">Organizers:</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Prof. George Darmiton da Cunha Cavalcanti, UFPE, Recife, Brazil </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">(</span><a href="mailto:gdcc@cin.ufpe.br" target="_blank" style="font-family:Arial,Helvetica,sans-serif">gdcc@cin.ufpe.br</a><span style="font-family:Arial,Helvetica,sans-serif">)</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Prof. Laurent Heutte, NormaSTIC/LITIS, Université de Rouen, France </span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">(</span><a href="mailto:laurent.heutte@univ-rouen.fr" target="_blank" style="font-family:Arial,Helvetica,sans-serif">laurent.heutte@univ-rouen.fr</a><span style="font-family:Arial,Helvetica,sans-serif">)</span><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">- Prof. Alceu S. Britto Jr, PUCPR, Curitiba, Brazil (</span><a href="mailto:alceu@ppgia.pucpr.br" target="_blank" style="font-family:Arial,Helvetica,sans-serif">alceu@ppgia.pucpr.br</a><span style="font-family:Arial,Helvetica,sans-serif">)</span><br style="font-family:Arial,Helvetica,sans-serif"><br style="font-family:Arial,Helvetica,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif">------------------------------</span><span style="font-family:Arial,Helvetica,sans-serif">------------------------------</span><span style="font-family:Arial,Helvetica,sans-serif">---------------------------</span><br clear="all"></div><div><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div><div>--<br>George Darmiton da Cunha Cavalcanti, Dr<div>Associate Professor, CIn-UFPE<br><div><a href="http://www.cin.ufpe.br/~gdcc" target="_blank">cin.ufpe.br/~gdcc</a></div></div></div></div></div></div></div></div></div></div>