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#mobilitydatascience

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Anita Graser 🇪🇺🇺🇦🇬🇪<p>The quest for a fair TimeGPT&nbsp;benchmark</p><p>At the end of yesterday's <a href="https://fosstodon.org/tags/TimeGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeGPT</span></a> for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...</p><p><a href="http://anitagraser.com/2025/03/29/the-quest-for-a-fair-timegpt-benchmark/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">anitagraser.com/2025/03/29/the</span><span class="invisible">-quest-for-a-fair-timegpt-benchmark/</span></a></p><p><a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoAI</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/FoundationModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FoundationModels</span></a> <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GISChat</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p><a href="https://fosstodon.org/tags/TimeGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeGPT</span></a> for <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mobility</span></a>: Can foundation models outperform classic machine learning models for flow&nbsp;predictions?</p><p>tldr; Maybe. Preliminary results certainly are impressive. </p><p><a href="http://anitagraser.com/2025/03/28/can-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">anitagraser.com/2025/03/28/can</span><span class="invisible">-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/</span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gischat</span></a> <a href="https://fosstodon.org/tags/urbanmobility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>urbanmobility</span></a> <a href="https://fosstodon.org/tags/geoai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geoai</span></a> <a href="https://fosstodon.org/tags/foundationmodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>foundationmodels</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Only one more week to submit to ACM TSAS special issue on Urban Mobility <a href="https://dl.acm.org/pb-assets/static_journal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dl.acm.org/pb-assets/static_jo</span><span class="invisible">urnal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf</span></a></p><p>HT <a href="https://mastodon.social/@luis_de_sousa/113946946892555809" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@luis_de_sousa</span><span class="invisible">/113946946892555809</span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MovingPandas</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Today I'm at <a href="https://fosstodon.org/tags/edbticdt2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>edbticdt2025</span></a> to present MobiML, our latest contribution to facilitate <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> from movement data, building on <span class="h-card" translate="no"><a href="https://fosstodon.org/@movingpandas" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>movingpandas</span></a></span>, <a href="https://fosstodon.org/tags/pymeos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pymeos</span></a>, and others</p><p>More details:<br><a href="https://github.com/movingpandas/mobiml" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/movingpandas/mobiml</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/movingpandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>movingpandas</span></a> <a href="https://fosstodon.org/tags/bmda2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bmda2025</span></a></p>
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