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Add ALICE KAISE and statKDD CogMI.
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rionda committed Oct 29, 2023
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<div id="news" style="clear:both;">
<h2>News</h2>
<ul>
<li><strong>CogMI:</strong> I am giving an invited talk on <a
href="papers/Riondato-StatisticallySoundKDD-CogMI23.pdf">Statistically-sound
KDD</a> at this interesting conference bringing together
researchers from different areas</li>
<li><strong>KAIS:</strong> the journal version of <a
href="papers/PretiEtAl-ALICE-KAIS.pdf"><span
style="font-variant:small-caps">Alice</span></a> was accepted to
the <a href="https://www.springer.com/journal/10115">KAIS</a>
special issue for the best papers of IEEE ICDM'22.</li>
<li><strong>Tenure+Promotion:</strong> Since July 1, I am a
tenured associate professor of computer science! I'm over the moon
about this!</li>
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<div id="pubs">
<h3 id="joursect">Journal Articles</h3>
<ol id="journals">
<li>G. Preti, G. De Francisci Morales, and M. Riondato. <a
href="papers/PretiEtAl-ALICE-KAISE.pdf"><span
style="font-variant:small-caps">Alice</span> and the Caterpillar: A
More Descriptive Null Model for Assessing Data Mining Results</a>,
<em>KAIS</em>, to appear</li>
<li>M. Abuissa, A. Lee, and M. Riondato. <a
href="papers/AbuissaEtAl-ROhAN-DMKD23.pdf"><span
style="font-variant:small-caps">ROhAN</span>: Row-order Agnostic
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</ol>
<h3 id="confsect">Conference Papers</h3>
<ol id="conferences">
<li>M. Riondato. <a
href="papers/Riondato-StatisticallySoundKDD-CogMI23.pdf">Statistically-sound
Knowledge Discovery from Data: Challenges and Directions</a>,
<em>IEEE CogMI'23</em>, 2023.</li>
<li>M. Riondato. <a
href="papers/Riondato-StatisticallySoundKDD-SDM23.pdf">Statistically-sound
Knowledge Discovery from Data</a>, <em>SIAM SDM'23</em>, 2023.</li>
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