<html><body><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div><span style="font-family: Cambria; font-size: 12pt; white-space: pre-wrap;">[Apologies if you receive multiple copies of this CFP]</span></div><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><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: Cambria; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;">Call for papers: special session on "Machine Learning Methods Applied to Medicine" at IJCNN 2017</span></p><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: Cambria; background-color: #ffffff; vertical-align: baseline; white-space: pre-wrap;">International Joint Conference on Neural Networks (IJCNN 2017)</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">May 14-19, 2017 - Anchorage, Alaska (USA) - http://www.ijcnn.org/ </span></p><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: Cambria; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;">Machine Learning Methods Applied to Medicine</span></p><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px;"><span style="font-family: Cambria; font-style: italic; vertical-align: baseline; white-space: pre-wrap;">Organized by: Veronica Bolon-Canedo, Amparo Alonso-Betanzos (University of A Coruña, Spain), Beatriz Remeseiro (University of Barcelona, Spain), Aurélio Campilho (University of Porto, Portugal)</span></p><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">Machine learning has been an active research area in the last decades finding success in many different applications, among them in medical problems. Since machine learning is capable of automating manual processes which practitioners have to carry out --usually time-consuming and subjective--, its use can save time for practitioners and provide unbiased and repeatable results. Furthermore, it is common that data in medicine have large dimensionality but reduced sample size, making even more necessary the use of advanced machine learning techniques for clinical interpretation and analysis.</span></p><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">The aim of this special session is to investigate the use of different machine learning techniques or approaches applied to medical problems. Additionally, it provides a platform for academics and clinical researchers to present and share their cutting-edge methods to deal with medical applications, as well as discussing the new challenges that have recently emerged in </span><span style="font-family: Cambria; color: #111111; background-color: #ffffff; vertical-align: baseline; white-space: pre-wrap;">this exciting cross-disciplinary field</span><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">. The topics of interest include, but are not limited to:</span></p><span><span><br></span></span><ul style="margin-top: 0pt; margin-bottom: 0pt;"><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">New challenges in machine learning for medicine</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Machine learning for personalized medicine</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Artificial intelligence in medicine</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Clinical interpretation and analysis</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Computer-aided detection and diagnosis</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Decision support systems</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Feature selection and extraction in medicine</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Big data in healthcare</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Deep learning in large-scale datasets</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Learning in uncertainty labeled data</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Learning from sparse/missing/imbalanced data</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Biomedical signal and image analysis </span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Bioinformatics and microarray analysis</span></p></li><li dir="ltr" style="list-style-type: disc; font-family: Cambria; vertical-align: baseline;"><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="vertical-align: baseline; white-space: pre-wrap;">Brain-computer interfaces</span></p></li></ul><span><span><br></span></span><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style.</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><br></p><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; font-weight: bold; vertical-align: baseline; white-space: pre-wrap;">IMPORTANT DATES:</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">Paper submission deadline: November 15, 2016</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">Paper decision notification: January 20, 2017</span></p><p dir="ltr" style="line-height: 1.38; margin: 0px; text-align: justify;"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">Camera-ready submission: February 20, 2017</span></p><span id="docs-internal-guid-57637ba6-ade0-d518-6909-c7bc8d37b397"><span style="font-family: Cambria; vertical-align: baseline; white-space: pre-wrap;">IJCNN conference: May 14-19, 2017</span></span></div><div><span></span><br></div></div></div><br></div></body></html>