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<p class="MsoNormal" style="text-align:justify"><a name="_Hlk529360999"></a><a name="OLE_LINK3"></a><a name="OLE_LINK2"></a><a name="OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:#1F4E79">Call
for Papers:</span></span></span></span></a><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:windowtext">
<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNormal" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:14.0pt;font-variant:small-caps;mso-fareast-language:ZH-CN">IEEE
Transactions on Neural Networks and Learning Systems<o:p></o:p></span></b></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:12.0pt;color:#1F3864;mso-fareast-language:ZH-CN">Special
Issue on </span></b></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:12.0pt;color:#1F3864">Deep Representation
and Transfer Learning for Smart and Connected Health<o:p></o:p></span></b></span></span></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:#1F3864"><o:p> </o:p></span></b></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:14.0pt;font-variant:small-caps;color:#1F3864">Important
Dates<a name="OLE_LINK15"></a><a name="OLE_LINK10"></a><a name="OLE_LINK23"></a><a name="OLE_LINK28"><span style="mso-bookmark:OLE_LINK23"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><o:p></o:p></span></span></span></a></span></b></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK28"><span style="mso-bookmark:OLE_LINK23"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">3</span></span></span></span></span></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">1
March 2019 – <a name="OLE_LINK29"></a><a name="OLE_LINK30"><span style="mso-bookmark:OLE_LINK29">Deadline for manuscript submission</span></a><o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">30
June 2019 – Reviewer’s comments to authors <o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">31
August 2019 – Submission of revised papers<o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">31
October 2019 – Final decision of acceptance <o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">30
November 2019 – Camera-ready papers <o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK10"><span style="mso-bookmark:OLE_LINK15"><span style="color:red">December
2019</span></span></span></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="color:red">– Tentative publication date</span></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:12.0pt;color:red">
</span></b></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="color:red"><o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:7.0pt"><o:p> </o:p></span></b></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:14.0pt;font-variant:small-caps;color:#1F3864">Aims
and Scope</span></b></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:14.0pt;font-variant:small-caps">:</span></b></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><b><span style="font-size:7.0pt"><o:p></o:p></span></b></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><a name="OLE_LINK12"></a><a name="OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><b><span style="font-size:7.0pt"><o:p> </o:p></span></b></span></a></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12">Deep
neural networks (DNNs) are one of the most efficient learning systems. However, determining how to best learn a set of data representations that are ideal for a given task remains a challenge. Representation and Transfer Learning (RTL) can facilitate the
learning of complex data representations by improving the generalization performance of DNNs, and by taking advantage
<a name="OLE_LINK16"></a><a name="OLE_LINK17"><span style="mso-bookmark:OLE_LINK16">of features learned by a model in a source domain, and adapting the model to a new domain.
</span></a>Nonetheless, contemporary <a name="OLE_LINK61"></a><a name="OLE_LINK60"><span style="mso-bookmark:OLE_LINK61">theory in</span></a><a name="OLE_LINK68"><span style="mso-bookmark:OLE_LINK61"><span style="mso-bookmark:OLE_LINK60">
</span></span></a>RTL is unable to deal with issues, such as: the inherent trade-off between retaining too much information from the input and learning universal features; limited data or changes in the joint distribution of the input features and output labels
in the target domain; dataset bias, among others. <a name="OLE_LINK54"></a><a name="OLE_LINK53"></a><a name="OLE_LINK50"></a><a name="OLE_LINK49"><span style="mso-bookmark:OLE_LINK50"><span style="mso-bookmark:OLE_LINK53"><span style="mso-bookmark:OLE_LINK54">Therefore,
new theoretical mechanisms and algorithms are required to improve </span></span></span></a><a name="OLE_LINK57"></a><a name="OLE_LINK59"><span style="mso-bookmark:OLE_LINK57"><span style="mso-bookmark:OLE_LINK54"><span style="mso-bookmark:OLE_LINK53"><span style="mso-bookmark:OLE_LINK50"><span style="mso-bookmark:OLE_LINK49">the
performance and learning process of </span></span></span></span></span></a>DNNs.
<a name="OLE_LINK66"></a><a name="OLE_LINK67"><span style="mso-bookmark:OLE_LINK66"> <o:p></o:p></span></a></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify;text-indent:14.2pt"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><span style="mso-bookmark:OLE_LINK67"><span style="mso-bookmark:OLE_LINK66">Smart
and Connected Health (SCH), an emerging and complex domain, can benefit from new advancements in RTL. For instance, RTL can overcome the limitations imposed by the lack of labelled data in SCH by (i) training a model to learn universal data representations
on larger corpora in a different domain, and then adapting the model for use in a SCH context, or (ii) by using RTL in conjunction with generative neural networks to generate new healthcare-related data. Nonetheless, the use of RTL in designing SCH applications
requires overcoming problems such as rejection of unrelated information, dataset bias or neural network co-adaptation.</span></span><a name="OLE_LINK88"></a>
<o:p></o:p></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify;text-indent:14.2pt"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12">This
special issue invites novel <a name="OLE_LINK14"></a><a name="OLE_LINK13"><span style="mso-bookmark:OLE_LINK14">contributions addressing theoretical aspects of representation and transfer learning and theoretical work aimed to improve the generalization performance
of deep models, as well as new theory attempting to explain and interpret both concepts. State-of-the-art works on applying RTL
</span></a><a name="OLE_LINK64"></a><a name="OLE_LINK65"><span style="mso-bookmark:OLE_LINK64"><span style="mso-bookmark:OLE_LINK14"><span style="mso-bookmark:OLE_LINK13">for developing smart and connected health</span></span></span></a><span style="mso-bookmark:OLE_LINK14"><span style="mso-bookmark:OLE_LINK13">
intelligent systems are also welcomed. </span></span>Topics of interest for this special issue include but are not limited to:<o:p></o:p></span></span></span></span></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext;mso-fareast-language:EN-GB"><o:p> </o:p></span></span></span></span></span></span></span></p>
<p class="MsoNormal" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><i><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#00000A">Theoretical
Methods:</span></i></span></span></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><span lang="EN-US" style="font-size:11.0pt"><o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoListParagraph" style="margin-left:1.0cm;mso-add-space:auto;text-indent:-14.15pt;mso-list:l4 level1 lfo2">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><![if !supportLists]><span lang="EN-US" style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:11.0pt">Distributed representation learning;</span></span></span></span></span></span></span><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><span lang="EN-US"><o:p></o:p></span></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Transfer learning; <o:p></o:p></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Invariant feature learning;<o:p></o:p></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Domain adaptation; <o:p></o:p></span></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK11"><span style="mso-bookmark:OLE_LINK12"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Neural network interpretability theory; </span></span><o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Deep neural networks; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Deep reinforcement learning;<o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Imitation learning; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Continuous domain adaptation learning; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Optimization and learning algorithms for DNNs;<o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Zero and one-shot learning;<a name="OLE_LINK56"></a><a name="OLE_LINK55"><span style="mso-bookmark:OLE_LINK56"><o:p></o:p></span></a></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK55"><span style="mso-bookmark:OLE_LINK56"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Domain invariant learning;</span></span> <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>RTL in generative and adversarial learning; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Multi-task learning and Ensemble learning; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.2pt;mso-list:l2 level1 lfo4">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>New learning criteria and evaluation metrics in RTL;<o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><i>Application Areas:
</i><o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><a name="OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Health monitoring;<o:p></o:p></a></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Health diagnosis and interpretation;<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Early health detection and prediction;<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Virtual patient monitoring;<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>RTL in medicine; <o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Biomedical information processing;<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK58"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Affect recognition </span>and mining;<o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Health and affective data synthesis; <o:p></o:p></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>RTL for<a name="OLE_LINK70"></a><a name="OLE_LINK69"><span style="mso-bookmark:OLE_LINK70"> virtual reality in healthcare;<o:p></o:p></span></a></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK69"><span style="mso-bookmark:OLE_LINK70"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>P</span></span><a name="OLE_LINK76"></a><a name="OLE_LINK741"></a><a name="OLE_LINK75"></a><span style="mso-bookmark:OLE_LINK76">hysiological information processing;<o:p></o:p></span></span></span></span></span></p>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify;text-indent:-14.15pt;mso-list:l3 level1 lfo6">
<span style="mso-bookmark:OLE_LINK1"><span style="mso-bookmark:OLE_LINK2"><span style="mso-bookmark:OLE_LINK3"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK76"><![if !supportLists]><span style="font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Affective human-machine interaction</span>; </span>
</span></span></span><span style="mso-bookmark:_Hlk529360999"><o:p></o:p></span></p>
<b><span style="font-size:14.0pt;font-family:"Calibri",sans-serif;color:#00000A;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></b>
<p class="MsoNoSpacing"><span style="mso-bookmark:_Hlk529360999"><a name="OLE_LINK751"></a><b><span style="font-size:14.0pt;font-variant:small-caps;color:#1F3864">Guest Editors<o:p></o:p></span></b></span></p>
<p class="MsoNoSpacing" style="text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><b><i>Vasile Palade</i></b>, Coventry University, UK<o:p></o:p></span></p>
<p class="MsoNoSpacing" style="text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><b><i>Stefan Wermter</i></b>, University of Hamburg, Germany<o:p></o:p></span></p>
<p class="MsoNoSpacing" style="text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><a name="OLE_LINK9"></a><a name="OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><b><i>Ariel Ruiz-Garcia</i></b>, Coventry University, UK<o:p></o:p></span></a></span></p>
<p class="MsoNoSpacing" style="text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><b><i>Antonio de Padua Braga</i></b>, University of Minas Gerais, Brazil<o:p></o:p></span></span></span></p>
<p class="MsoNoSpacing" style="text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><b><i>Clive Cheong Took</i></b>, Royal Holloway (University of London), UK<o:p></o:p></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify;text-indent:14.2pt"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><o:p> </o:p></span></span></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><b><span style="font-size:14.0pt;font-variant:small-caps;color:#1F3864">Submission Instructions
<o:p></o:p></span></b></span></span></span></p>
<ol style="margin-top:0cm" start="1" type="1">
<li class="MsoNormal" style="color:#00000A;text-align:justify;mso-list:l0 level1 lfo9">
<span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">Read the Information for Authors at
</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span><a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcis.ieee.org%2Fpublications%2Ft-neural-networks-and-learning-systems&data=02%7C01%7Cruizgara%40uni.coventry.ac.uk%7C19c0771ffd5249c159cd08d6555769e1%7C4b18ab9a37654abeac7c0e0d398afd4f%7C0%7C0%7C636790231249190037&sdata=d4bulxRqnUtqg7%2F1GpKn7z0gTC%2FFj%2FV3uzafJhx50Js%3D&reserved=0"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">https://cis.ieee.org/publications/t-neural-networks-and-learning-systems</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span></a><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">.<o:p></o:p></span></span></span></span></li><li class="MsoNormal" style="color:#00000A;text-align:justify;mso-list:l0 level1 lfo9">
<span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">Submit your manuscript at the TNNLS webpage (</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span><a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmc.manuscriptcentral.com%2Ftnnls&data=02%7C01%7Cruizgara%40uni.coventry.ac.uk%7C19c0771ffd5249c159cd08d6555769e1%7C4b18ab9a37654abeac7c0e0d398afd4f%7C0%7C0%7C636790231249190037&sdata=GHQ00NiZjsUjjMTkrWWF%2B4FW5gbwetFsuqHVHI8kSc4%3D&reserved=0"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">http://mc.manuscriptcentral.com/tnnls</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span></a><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">)
and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to this special issue. Send an email to the
</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-family:"Calibri",sans-serif">guest editor Vasile Palade (</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span><a href="mailto:vasile.palade@coventry.ac.uk"><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-family:"Calibri",sans-serif">vasile.palade@coventry.ac.uk</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"></span></span></span></a><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-family:"Calibri",sans-serif">)
</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">with subject “TNNLS special issue submission”
to notify about your submission. <o:p></o:p></span></span></span></span></li><li class="MsoNormal" style="color:#00000A;text-align:justify;mso-list:l0 level1 lfo9">
<span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:red">Early submissions are welcomed</span></span></span></span><span style="mso-bookmark:_Hlk529360999"><span style="mso-bookmark:OLE_LINK8"><span style="mso-bookmark:OLE_LINK9"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">.
We will start the review process as soon as we receive your contributions.</span></span></span></span><span style="mso-bookmark:OLE_LINK9"></span><span style="mso-bookmark:OLE_LINK8"></span><span style="mso-bookmark:_Hlk529360999"><b><span lang="EN-US" style="font-family:"Calibri",sans-serif">
</span></b></span><span style="mso-bookmark:_Hlk529360999"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif"> </span></span><span style="mso-bookmark:_Hlk529360999"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black;background:white"> </span></span><span style="mso-bookmark:_Hlk529360999"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></span></li></ol>
<span style="mso-bookmark:_Hlk529360999"></span>
<p class="MsoNoSpacing" style="margin-left:1.0cm;text-align:justify"><o:p> </o:p></p>
<p class="MsoNoSpacing" style="text-align:justify">For any other questions please contact
<span style="font-size:12.0pt">Ariel Ruiz-Garcia (<a href="mailto:ariel.ruiz-garcia@coventry.ac.uk">ariel.ruiz-garcia@coventry.ac.uk</a>).</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p> </o:p></span></p>
</div>
<p style="line-height: 15.0pt;"><strong><span style="font-size: 13pt; font-family: 'Arial',sans-serif; color: #005eb8;">University of the Year for Student Experience<br>
</span></strong><span style="font-size: 9.0pt; font-family: 'Arial',sans-serif; color: black;">The Times and Sunday Times Good University Guide 2019</span></p>
<p style="mso-margin-top-alt: 3.0pt; margin-right: 0cm; margin-bottom: 3.0pt; margin-left: 0cm; line-height: 12.0pt;">
<strong><span style="font-size: 13pt; font-family: 'Arial',sans-serif; color: #005eb8;">2nd for Teaching Excellence</span></strong><br>
<span style="font-size: 9.0pt; font-family: 'Arial',sans-serif; color: black;">Times Higher Education UK (TEF) metrics ranking 2017 – Gold winner</span></p>
<p style="mso-margin-top-alt: 3.0pt; margin-right: 0cm; margin-bottom: 3.0pt; margin-left: 0cm; line-height: 12.0pt;">
<strong><span style="font-size: 13pt; font-family: 'Arial',sans-serif; color: #005eb8;">5th UK Student City</span></strong><br>
<span style="font-size: 9.0pt; font-family: 'Arial',sans-serif; color: black;">QS Best Student Cities Index 2018</span></p>
<p style="line-height: 15.0pt;"><strong><span style="font-size: 13pt; font-family: 'Arial',sans-serif; color: #005eb8;">13th in Guardian University Guide 2019</span></strong><br>
<span style="font-size: 9.0pt; font-family: 'Arial',sans-serif; color: black;">of 121 UK institutions ranked
</span></p>
<p style="margin-top: 15.0pt; line-height: 8.25pt;"><span style="font-size: 7.0pt; font-family: 'Arial',sans-serif;">NOTICE<br>
<br>
This message and any files transmitted with it is intended for the addressee only and may contain information that is confidential or privileged. Unauthorised use is strictly prohibited. If you are not the addressee, you should not read, copy, disclose or otherwise
use this message, except for the purpose of delivery to the addressee.<br>
<br>
Any views or opinions expressed within this e-mail are those of the author and do not necessarily represent those of Coventry University.</span></p>
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