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<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><font class="">The next Mobilize Center Seminar is scheduled for Thursday, April 5th, and features
<span style="white-space: pre-wrap;" class=""><b style="font-style: italic;" class="">Dragutin Petkovic</b>, Computer Science Department, San Francisco State University.</span></font><span class=""> He will be presenting
</span><font class="">“<b class="">Toward Explainable Machine Learning - RFEX: Improving <u class="">R</u>andom <u class="">F</u>orest <u class="">Ex</u>plainability</b>”.</font></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"> </font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class=""><span class=""><font class="" face="Arial">The Mobilize Center seminars are held once a month. Please check <a href="http://mobilize.stanford.edu/events/" class="">Mobilize Events</a> for updates.</font></span></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><br class="">
</font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial">We look forward to seeing you in April!<o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class="">TITLE:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><b style="font-family: Arial;" class="">Toward Explainable Machine Learning - RFEX: Improving <u class="">R</u>andom <u class="">F</u>orest <u class="">Ex</u>plainability</b></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class=""> </b></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class="">WHEN:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class="">Thursday, April 5th</b><o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class="">noon - 1 pm</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class="">WHERE:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" face="Arial"><b class=""><span style="color: rgb(251, 2, 7);" class="">Y2E2 300, Stanford University </span></b><o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><b class=""><span style="font-size: 9pt; font-family: Arial, sans-serif;" class=""><br class="">
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<div style="margin: 0in 0in 0.0001pt;" class=""><b class=""><span style="font-size: 9pt; font-family: Arial, sans-serif;" class="">Abstract:</span></b></div>
<div style="margin: 0in 0in 0.0001pt;" class="">
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class="">Machine Learning (ML) methods are now influencing major decisions about patient care, new medical methods, drug development and their use and importance are rapidly increasing in all
areas. However, these ML methods are inherently complex and often difficult to understand and explain resulting in barriers to their adoption and validation. We define explainability in ML as <i class="">easy to use </i>information explaining <i class="">why
and how the ML approach made its decisions</i>. We believe that much greater effort is needed to address the issue of ML explainability because of the ever increasing use and dependence on ML in many applications and the need for increased adoption by non-ML
experts. <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> </font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class="">In our talk, we will 1) summarize a workshop discussion on ML explainability organized jointly with Profs. L. Kobzik and C. Re at the 2018 Pacific Symposium on Biocomputing (PSB) and
2) describe our work on <u class="">R</u>andom <u class="">F</u>orest <u class="">Ex</u>plainability (RFEX) (joint work with Prof. R. Altman, M. Wong and A. Vigil). RFEX provides easy-to-interpret <i class="">explainability summary reports</i> from trained
RF classifiers to improve the explainability for users who are often non-experts. We tested RFEX with the FEATURE program to predict functional sites in 3-D molecules based on their electrochemical signatures (features). Through formal usability testing with
expert and non-expert users, we found the RFEX explainability report significantly increased explainability and user confidence in RF classification.<o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> </font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class="">The workshop and RFEX research were supported by NIH grant R01 LM005652, Stanford Mobilize Center and SFSU Center for Computing for Life Sciences.</font></div>
<p class="MsoNormal"><b class=""><span style="font-size: 9pt; font-family: Arial, sans-serif;" class="">Bio:<o:p class=""></o:p></span></b></p>
<p class="MsoNormal"><font class=""><font face="Arial" class="">Dr. Dragutin Petkovic obtained his Ph.D. at UC Irvine in biomedical image processing. He spent over 15 years at IBM Almaden Research Center as a scientist and in various management roles. His contributions
ranged from the use of computer vision for inspection, to multimedia and content management systems. He is the founder of IBM's well-known QBIC (query by image content) project, which significantly influenced the content-based retrieval field. Dr. Petkovic
received numerous IBM awards for his work and became an IEEE Fellow in 1998 and IEEE LIFE Fellow in 2018 for his leadership in content-based retrieval. In 2003 Dr. Petkovic joined San Francisco State University’s (SFSU) Computer Science (CS) Department as
a Chair. He founded SFSU’s Center for Computing for Life Sciences in 2005, where he continues to serve as the Director. Currently the Associate Chair of the department, Prof. Petkovic’s research and teaching now focuses on Machine Learning with an emphasis
on explainability, software engineering, and the design and development of easy-to-use systems.</font></font></p>
<p class="MsoNormal"><font class=""><font face="Arial" class="">To keep up-to-date on upcoming speakers and the dates, visit </font></font><a href="http://mobilize.stanford.edu/events/" class="" style="font-family: Arial;">Mobilize Events</a><font class="" style="font-family: Arial;">.</font></p>
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<div style="margin: 0in 0in 0.0001pt;" class=""><span class=""><font face="Arial" class="">Diane Bush</font></span></div>
<div class="">
<div class=""><font face="Arial" class="">Assistant to Professor Scott Delp<br class="">
NMBL, Mobilize Center, OpenSim<br class="">
Stanford University<br class="">
<a href="mailto:dbush1@stanford.edu" class="">dbush1@stanford.edu</a><br class="">
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