<html><body><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div style="color:#000;font-weight:normal;font-style:normal;text-decoration:none;font-family:Helvetica,Arial,sans-serif;font-size:12pt;"><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div><p dir="ltr" style="line-height: 1.38; margin: 0px;" id="docs-internal-guid-3b0ff717-6942-2e5b-a5fa-3977ffb592de"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;">[Apologies if you receive multiple copies of this CFP]</span></p><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><b><b><br></b></b></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-size: medium; font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">Call for papers: special session on "Machine learning for medical applications" at ESANN 2016</span></p><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><b><b><br></b></b></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-size: medium;"><span data-mce-style="font-family: arial,helvetica,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;" style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">European Symposium on Artificial Neural Networks, Computational Intelligence and </span><span data-mce-style="font-family: arial,helvetica,sans-serif;" style="font-family: arial,helvetica,sans-serif;"><span data-mce-style="color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;" style="color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">Machine Learning (ESANN 2016) </span></span></span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><span data-mce-style="color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;" style="color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">27-29 April 2016, Bruges (Belgium) -</span><span class="Object" id="OBJ_PREFIX_DWT55_com_zimbra_url"><a href="http://www.esann.org" style="text-decoration: none;" target="_blank"><span data-mce-style="color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;" style="color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;"> </span><span data-mce-style="color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; vertical-align: baseline;" style="color: rgb(17, 85, 204); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; vertical-align: baseline;"></span></a></span><span class="Object" id="OBJ_PREFIX_DWT56_com_zimbra_url"></span><span class="Object" id="OBJ_PREFIX_DWT57_com_zimbra_url"><a class="moz-txt-link-freetext" href="http://www.esann.org" target="_blank">http://www.esann.org</a></span></span><br></p></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><b><br></b></span></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><b><br></b></span></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><b>Machine learning for medical applications</b></span></div><div><br><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><i>Organized by <span data-mce-style="text-decoration: underline;" style="text-decoration: underline;">Verónica Bolón-Canedo</span></i><span data-mce-style="color: #000000;" style="color: rgb(0, 0, 0);"><span data-mce-style="text-decoration: underline;" style="text-decoration: underline;"><a href="mailto:vbolon@udc.es" target="_blank"></a></span>, <span data-mce-style="text-decoration: underline;" style="text-decoration: underline;">Amparo Alonso-Betanzos</span>, Universidade da Coruña (Spain), <span data-mce-style="text-decoration: underline;" style="text-decoration: underline;">Beatriz Remeseiro</span>, INESC Technology and Science, <span data-mce-style="text-decoration: underline;" style="text-decoration: underline;">Aurélio Campilho</span><a href="mailto:campilho@fe.up.pt" target="_blank"><span data-mce-style="color: #000000;" style="color: rgb(0, 0, 0);"></span></a>, Universidade do Porto (Portugal<i>)</i></span></span></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><i><br></i></span></div><p style="margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Machine learning has been an active research area in the last decades finding success in many different applications, among them in medical problems. Machine learning is capable of automating manual processes carried out by practitioners, which are usually time-consuming and subjective. Therefore, the use of machine learning can save time for practitioners and provide unbiased, repeatable results. Additionally, the large dimensionality of data in medicine together with the common reduced sample size of pathological cases makes indispensable the use of advanced machine learning techniques for clinical interpretation and analysis.</span></p><p style="margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">This special session is concerned with using different machine learning techniques or approaches in medical applications. Furthermore, it also aims to offer a meeting opportunity for academics and clinical researchers to present their cutting-edge methods to deal with medical problems and to discuss the new challenges that need to be faced.</span></p><p style="margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; font-size: medium;"><br></span></p><p style="margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">We invite papers on machine learning approaches applied to medical problems. In particular, topics of interest include, but are not limited to:</span></p><ul><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Artificial intelligence in medicine</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Clinical interpretation and analysis</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Computer-aided detection and diagnosis</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Physiological signal analysis</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Medical image analysis</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Content-based image retrieval</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Feature selection and extraction in medicine</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Pattern recognition in medicine</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Big data in healthcare</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Learning in uncertainty labeled data</span></li><li><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Bioinformatics and microarray analysis</span></li></ul><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Submitted papers will be reviewed according to the ESANN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style.</span></div><div><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-size: medium; font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;"><br></span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-size: medium; font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;"><br></span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;">IMPORTANT DATES:</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;"><br></span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;">Paper submission deadline : 20 November 2015</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;">Notification of acceptance : 31 January 2016</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; font-size: medium;">ESANN conference : 27-29 April 2016</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-size: medium; font-family: arial,helvetica,sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;"><br></span></p></div><div><br></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">-- </span><br></div><div><br></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">Beatriz Remeseiro, Ph.D. </span><br></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">INESC Technology and Science</span><br></div><div><br></div><div><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">email: bremeseiro(at)fe.up.pt</span><br><span style="font-family: arial,helvetica,sans-serif; font-size: medium;">url: http://www.varpa.org/~bearm </span><br></div></div></div><div><br></div></div></body></html>