<div dir="ltr"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">2nd International Workshop on Big Data Transfer Learning (<span class="gmail-il">BDTL</span>) in Conjunction with IEEE BigData Conference 2017 </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">-- Automatic Knowledge Mining and Transfer for Digital Healthcare </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Website** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><a href="http://www.cis.umassd.edu/~mshao/BDTL2017/index.html" rel="nofollow" target="_blank" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;text-decoration-line:none;font-family:Arial,Helvetica,sans-serif;font-size:13px">http://www.cis.umassd.edu/~msh<wbr>ao/BDTL2017/index.html</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Submission** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><a href="http://www.google.com/url?q=http%3A%2F%2Fwww.cis.umassd.edu%2F~mshao%2FBDTL2017%2Fsubmission.html&sa=D&sntz=1&usg=AFQjCNG1zkk1KED2wc0xlRV0QgZpBjN54A" rel="nofollow" target="_blank" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;text-decoration-line:none;font-family:Arial,Helvetica,sans-serif;font-size:13px">http://www.cis.umassd.edu/~msh<wbr>ao/BDTL2017/submission.html</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Time**: Dec. 11th, 2017 </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Location**: Boston MA, USA </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Important Date** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Oct 10, 2017: Due date for full workshop papers submission </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Nov 1, 2017: Notification of paper acceptance to authors </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Nov 15, 2017: Camera-ready of accepted papers </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Dec 11, 2017: Workshops </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Introduction** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">The International Workshop on Big Data Transfer Learning (<span class="gmail-il">BDTL</span>) is a serial workshop ever since 2016. The previous workshop in conjunction with IEEE BigData 2016 focused on the topic of Big Data Transfer Learning and Text Mining. This year, the one-day workshop in conjunction with IEEE BigData 2017 will provide a focused international forum to bring together researchers and research groups to review the status of transfer learning and knowledge mining, to exploit innovative knowledge transfer methodology given enormous weakly labeled/multi-source/multi-</span><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">vie<wbr>w/multimodal healthcare data for disease recognition/prediction, intelligent auxiliary diagnosis and emerging applications, and to explore future directions particularly in fields of increasing popularity such as deep learning, smart sensors and networks, wireless healthcare. The workshop will consist of one to two invited talks together with peer-reviewed regular papers (oral and poster). Original high-quality papers are solicited on a wide range of topics including: </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* New perspectives, concepts, or theories on big data transfer learning and knowledge mining </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Big data transfer learning that works on multimodality, multi-source, latent domains, or multi-view healthcare data </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Development of analytics tools for emerging and profound digital healthcare problems </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Comparisons/survey of state-of-the-art analytics tools in health informatics </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Deep learning, representation learning and convolutional neural networks for big data analytics in digital healthcare </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Frontier label-free learning methodology for digital healthcare and health informatics, e.g., one-shot learning, self-taught learning, generative adversarial networks </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* Wireless healthcare, smart sensor networks, wearable devices in big data analytics and digital healthcare </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">* New datasets, benchmarks, and open-source software for big data analytics in digital healthcare </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**General Chair** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Y. Raymond Fu, Northeastern University, USA, </span><a rel="nofollow" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px">yu...@ece.neu.edu</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Workshop Co-Chairs** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Yu Cao, UMass Lowell, USA, </span><a rel="nofollow" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px">yc...@cs.uml.edu</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Honggang Wang, UMass Dartmouth, USA, </span><a rel="nofollow" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px">hwa...@umassd.edu</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Ming Shao, UMass Dartmouth, USA, </span><a rel="nofollow" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px">ms...@umassd.edu</a><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px"> </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">**Web and Publicity Chair** </span><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="font-family:Arial,Helvetica,sans-serif;font-size:13px">Zhengming Ding, Northeastern University, USA</span><br style="font-size:14px"><div style="font-size:14px"><a rel="nofollow" style="color:rgb(102,17,204);margin:0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px">Hongfu Liu </a><span style="font-size:13px;font-family:Arial,Helvetica,sans-serif">Northeastern University, USA</span></div>
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