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initial; text-decoration-color: initial;">Apologies for
cross-posting</div>
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initial; text-decoration-color: initial;">===================</div>
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initial; text-decoration-color: initial;">NEW DEADLINE: January
31st</div>
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initial; text-decoration-color: initial;">===================</div>
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34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
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34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
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background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">IEEE WCCI/IJCNN 2020
Special Session on</div>
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34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
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background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">EXPLAINABLE
COMPUTATIONAL/ARTIFICIAL INTELLIGENCE</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
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normal; orphans: 2; text-align: start; text-indent: 0px;
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word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
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word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">July 19-24, 2020,
Glasgow, Scotland, UK.</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
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word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><a class="moz-txt-link-abbreviated" href="http://www.cs.upc.edu/~avellido/research/conferences/IJCNN2020-ssExplainableML.html">www.cs.upc.edu/~avellido/research/conferences/IJCNN2020-ssExplainableML.html</a></div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Aims & Scope</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">------------</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">The spectacular
successes in machine learning (ML) have led to a plethora of
Artificial Intelligence (AI) applications. However, the large
majority of these successful models, like deep neural networks,
support vector machines, etc. are black boxes, opaque,
non-intuitive and difficult for people to understand. There are
critical domains that demand more intelligent, autonomous, and
symbiotic systems, like medicine, security, legal, the military,
finance and transportation, to mention a few, for which
performance is not the only quality indicator. These are areas
where decision-making faces high risks due to the involvement of
human lives, critical infrastructure, very costly operations,
national threats, etc. In situations like these, decision makers
need much more that numeric performance in favor of alternative
solutions that provide rationale and are more knowledge-based.</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">The goal of Explainable
AI (XAI) is to create a suite of ML techniques that i) result in
more explainable models, while maintaining a high level of
learning performance, but also ii) enable human users to develop
understanding to be able to trust the model, and effectively
manage a new generation of artificially intelligent machine tools.
Continued advances promise to produce autonomous systems that will
perceive, learn, decide, and act on their own. However, the
effectiveness of these systems is limited by the machines' current
inability to explain their decisions and actions to human users.</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">This session will
explore the performance-versus-explanation trade-off space. This
will include ML models that are interpretable by design. Some,
like fuzzy systems and rule induction, have general function
approximation properties. Very important are also algorithms
producing models in mathematic languages such as algebraic
functions and differential equations, piecewise non-linear models,
etc. Despite of the differences in the approaches, there are
common elements and basic methodologies that are present in many
applications. We will bring together researchers from different
fields to discuss key issues related to the research and
applications of XAI methods and to share their experiences of
solving common problems.</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Topics that are of
interest to this session include but are not limited to:-</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Interpretable ML
Models</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Query Interfaces
for Deep Learning</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Interactive User
Interfaces</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Active and Transfer
learning</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Relevance and
Metric Learning</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Practical
Applications of Interpretable Machine Learning</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">• Deep Neural
Reasoning</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">NEW Dates</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">---------------</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Paper submission:
January 31, 2020</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Paper decision
notification: March 15, 2020</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Session Chairs</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">--------------</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Julio J. Valdés
(National Research Council Canada)</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Paulo J.G. Lisboa,
Sandra Ortega-Martorell, Iván Olier (Liverpool John Moores
University, U.K.)</div>
<div style="margin: 0px; padding: 0px; border: 0px; color: rgb(34,
34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Alfredo Vellido
(Universitat Politècnica de Catalunya, Spain)</div>
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34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;"><br>
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34, 34); font-family: Arial, Helvetica, sans-serif; font-size:
13px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255); text-decoration-style:
initial; text-decoration-color: initial;">Submission: <a
href="https://ieee-cis.org/conferences/ijcnn2020/upload.php"
style="margin: 0px; padding: 0px; border: 0px; text-decoration:
none; color: rgb(102, 17, 204); cursor: text;">https://ieee-cis.org/conferences/ijcnn2020/upload.php</a></div>
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