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DTSTART:20260329T030000
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DTSTART:20251026T020000
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DTSTAMP:20260223T094938Z
UID:6DA7F0FD-0C05-494F-8055-CC1BBFC77FAF
DTSTART;TZID=Europe/Warsaw:20260218T000000
DTEND;TZID=Europe/Warsaw:20260220T000200
DESCRIPTION:Machine learning and artificial intelligence methods are findin
 g increasingly wider applications in spatial analysis. The Machine Learnin
 g and Spatial Analysis with Free Open Source Software (MLSpAnFOSS 2026) co
 nference is a forum where machine learning and spatial analysis specialist
 s who use open-source software can meet. The conference&#39;s purpose extends 
 beyond presenting machine learning and spatial analysis solutions. It also
  introduces full accessibility to the presented methods and analytical sol
 utions.\n\nConference Topics:\n\n- Machine learning with open-source tools
 \n- Big data and geospatial analytics\n- Applications using freely availab
 le datasets\n- AI methods in environmental modelling\n- Processing natural
  data with open-source software\n\nFor more information visit official con
 ference [website](https://mlspanfoss.org/).\n\nCo-sponsored by: University
  of Agriculture in Krakow\, Faculty of Forestry\n\nAgenda: \nFebruary 18\,
  2026\n8:00 - 9:00 - Registration\n9:00 - 10:30 - Opening and plenary sess
 ion\n10:30 - 11:00 - Coffee break\n11:00 - 13:00 - Session I\n13:00 - 13:3
 0 - Lunch\n13:30 - 16:30 - Workshop I - From single DL model to federation
  of models - an introduction to Federated Learning\n16:30 - 18:30 - Worksh
 op II - Raster calculator - one tool with many uses\n\nFebruary 19\, 2026\
 n9:00 - 10:30 - Session II\n10:30 - 11:00 - Coffee break\n11:00 - 12:00 - 
 Poster session\n13:00 - 13:30 - Lunch\n13:30 - 16:30 - Workshop III - Quan
 tum Computing in Remote Sensing\n16:30 - 18:30 - Workshop IV - Introductio
 n to GDAL - a multifunctional library of tools for spatial analysis\n\nFeb
 ruary 20\, 2026\n9:00 - 11:00 - Session III\n11:00 - 11:15 - Coffee break\
 n11:15 - 14:00 - Workshop V\n14:00 - 14:15 - Closing\n14:15 - 15:00 - Lunc
 h\n\naleja 29 Listopada\, 46\, Kraków\, Malopolskie\, Poland\, 31-425
LOCATION:aleja 29 Listopada\, 46\, Kraków\, Malopolskie\, Poland\, 31-425
ORGANIZER:info@grss-ieee.pl
SEQUENCE:3
SUMMARY:MLSpAnFOSS 2026 - The Machine Learning and Spatial Analysis with Fr
 ee Open Source Software Conference
URL;VALUE=URI:https://events.vtools.ieee.org/m/521228
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot; style
 =&quot;mso-ansi-language: EN-US\;&quot;&gt;Machine learning and artificial intelligence
  methods are finding increasingly wider applications in spatial analysis. 
 The &lt;strong&gt;&lt;em&gt;Machine Learning and Spatial Analysis with Free Open Sourc
 e Software (MLSpAnFOSS 2026)&lt;/em&gt;&lt;/strong&gt; conference is a forum where mac
 hine learning and spatial analysis specialists who use open-source softwar
 e can meet. The conference&#39;s purpose extends beyond presenting machine lea
 rning and spatial analysis solutions. It also introduces full accessibilit
 y to the presented methods and analytical solutions.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=
 &quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-ansi-language: EN-US\;&quot;&gt;Conferen
 ce Topics:&lt;/span&gt;&lt;/p&gt;\n&lt;ul style=&quot;margin-top: 0cm\;&quot; type=&quot;disc&quot;&gt;\n&lt;li cla
 ss=&quot;MsoListParagraph&quot; style=&quot;margin-left: 18.0pt\; mso-list: l0 level1 lfo
 1\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;\
 ; mso-ansi-language: EN-US\;&quot;&gt;Machine learning with open-source tools&lt;/spa
 n&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoListParagraph&quot; style=&quot;margin-left: 18.0pt\; mso-lis
 t: l0 level1 lfo1\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-fareast-font-family: &#39;T
 imes New Roman&#39;\; mso-ansi-language: EN-US\;&quot;&gt;Big data and geospatial anal
 ytics&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoListParagraph&quot; style=&quot;margin-left: 18.0pt
 \; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-fareast-font-
 family: &#39;Times New Roman&#39;\; mso-ansi-language: EN-US\;&quot;&gt;Applications using
  freely available datasets&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoListParagraph&quot; style
 =&quot;margin-left: 18.0pt\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; sty
 le=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-ansi-language: EN-US\
 ;&quot;&gt;AI methods in environmental modelling&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoListPa
 ragraph&quot; style=&quot;margin-left: 18.0pt\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;span la
 ng=&quot;EN-US&quot; style=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-ansi-la
 nguage: EN-US\;&quot;&gt;Processing natural data with open-source software&lt;/span&gt;&lt;
 /li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-fareast-font-family: &#39;Times 
 New Roman&#39;\; mso-ansi-language: EN-US\;&quot;&gt;For more information visit offici
 al conference &lt;a href=&quot;https://mlspanfoss.org/&quot;&gt;website&lt;/a&gt;.&lt;/span&gt;&lt;/p&gt;&lt;br
  /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;div class=&quot;mt-2 mb-2 keditable&quot;&gt;\n&lt;div&gt;&lt;strong&gt;&lt;em
 &gt;February 18\, 2026&lt;/em&gt;&lt;/strong&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;font-size: 90%\
 ;&quot;&gt;8:00 - 9:00 - Registration&lt;/span&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;font-size: 9
 0%\;&quot;&gt;9:00 - 10:30 - Opening and plenary session&lt;/span&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span 
 style=&quot;font-size: 90%\;&quot;&gt;10:30 - 11:00 - Coffee break&lt;/span&gt;&lt;/div&gt;\n&lt;div&gt;&lt;
 span style=&quot;font-size: 90%\;&quot;&gt;11:00 - 13:00 - Session I&lt;/span&gt;&lt;/div&gt;\n&lt;div
 &gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;13:00 - 13:30 - Lunch&lt;/span&gt;&lt;/div&gt;\n&lt;div&gt;&lt;
 span style=&quot;font-size: 90%\;&quot;&gt;13:30 - 16:30 - Workshop I -&amp;nbsp\;&lt;/span&gt;&lt;e
 m&gt;From single DL model to federation of models - an introduction to Federa
 ted Learning&lt;/em&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;16:30 - 18:30
  - Workshop II -&amp;nbsp\;&lt;/span&gt;&lt;em&gt;Raster calculator - one tool with many u
 ses&lt;/em&gt;&lt;/div&gt;\n&lt;div&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div&gt;&lt;strong&gt;&lt;em&gt;February 19\, 2026&lt;/e
 m&gt;&lt;/strong&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;9:00 - 10:30 - Sess
 ion II&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;10:30 - 11:00 - Coffee bre
 ak&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;11:00 - 12:00 - Poster session
 &lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;13:00 - 13:30 - Lunch&lt;/span&gt;&lt;br&gt;
 &lt;span style=&quot;font-size: 90%\;&quot;&gt;13:30 - 16:30 - Workshop III -&amp;nbsp\;&lt;/span
 &gt;&lt;em&gt;Quantum Computing in Remote Sensing&lt;/em&gt;&lt;/div&gt;\n&lt;div&gt;&lt;span style=&quot;fon
 t-size: 90%\;&quot;&gt;16:30 - 18:30 - Workshop IV -&amp;nbsp\;&lt;/span&gt;&lt;em&gt;Introduction
  to GDAL - a multifunctional library of tools for spatial analysis&lt;/em&gt;&lt;br
 &gt;&lt;br&gt;&lt;em&gt;&lt;strong&gt;February 20\, 2026&lt;/strong&gt;&lt;/em&gt;&lt;br&gt;&lt;span style=&quot;font-siz
 e: 90%\;&quot;&gt;9:00 - 11:00 - Session III&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%
 \;&quot;&gt;11:00 - 11:15 - Coffee break&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;
 11:15 - 14:00 - Workshop V&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;14:00 
 - 14:15 - Closing&lt;/span&gt;&lt;br&gt;&lt;span style=&quot;font-size: 90%\;&quot;&gt;14:15 - 15:00 -
  Lunch&lt;/span&gt;&lt;/div&gt;\n&lt;/div&gt;
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