<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"><!-- P {margin-top:0;margin-bottom:0;} --></style>
</head>
<body dir="ltr">
<div id="divtagdefaultwrapper" dir="ltr" style="font-size:12pt; color:rgb(0,0,0); font-family:Calibri,Helvetica,sans-serif,"EmojiFont","Apple Color Emoji","Segoe UI Emoji",NotoColorEmoji,"Segoe UI Symbol","Android Emoji",EmojiSymbols">
<p>The next SU astronomy departmental seminar will take place on <b>Friday September 9th
</b>at<b> 10:30 </b>in room <b>FC 61</b> (AlbaNova building, 6th floor) and on zoom.</p>
<p><br>
</p>
<p>---------------------------------------------------------------------------------------------------------------------------------<br>
</p>
<p><i><br>
</i></p>
<p><i>Speaker:</i> <b>Gregor Traven - </b><span>University of Ljubljana</span><br>
</p>
<p><br>
</p>
<p></p>
<div class="x_elementToProof" style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, "EmojiFont"; font-size: 12pt; color: rgb(0, 0, 0);">
<i><b></b><span>Title:</span><b><span></span> Machine learning in stellar physics</b></i><br>
</div>
<div class="x_elementToProof" style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, "EmojiFont"; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="x_elementToProof" style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, "EmojiFont"; font-size: 12pt; color: rgb(0, 0, 0);">
<i>Abstract:</i><br>
</div>
<div class="x_elementToProof" style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, "EmojiFont"; font-size: 12pt; color: rgb(0, 0, 0);">
I will try to present<span style="background-color:rgb(255,255,255); display:inline!important">, in a heavily biased way,</span> a broader picture of what machine learning is and how it can help us in extracting new knowledge from astronomical data. The approach
of using ML techniques has become important in recent times as we welcome the flood of big data in almost every field of research, but it is important to know which methods work well and for which purpose, so I will describe some basics and present some applications
of both unsupervised and supervised techniques applied to selected astronomical subjects. At the end we'll also have a look into an interesting and novel approach of data augmentation with GAN and how it could help in analysis of stellar spectra.</div>
<p></p>
<p><br>
</p>
<p></p>
<div>---------------------------------------------------------------------------------------------------------------------------------</div>
<p></p>
<p><br>
</p>
<p>We look forward to seeing many of you there. Thanks!</p>
<p><br>
</p>
<p>Kris and Eliot<br>
</p>
<p><br>
</p>
<p></p>
<div class="">Topic: Astronomy Department Seminar Gregor Traven</div>
<div class="">Time: Sept 9, 2022 10:30 AM Stockholm</div>
<br>
<p></p>
<p>Join Zoom Meeting:<br>
</p>
<p><a href="https://stockholmuniversity.zoom.us/s/61002076352" class="OWAAutoLink" id="LPlnk650362" previewremoved="true">https://stockholmuniversity.zoom.us/s/61002076352</a></p>
<p><br>
</p>
<p><span>Meeting ID: 610 0207 6352</span><br>
</p>
</div>
</body>
</html>