update papers

Author: Cecca

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@@ -101,8 +101,14 @@ <h3 class="mb-0">Postdocs and PhD students</h3>
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                     <h2 class="mb-5">Recent Publications</h2>
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-<h3 class="mb-0">2023</h3><ul><li>Andrea Tonon, Fabio Vandin <emph><a href="https://doi.org/10.1007/s10115-022-01800-7">caSPiTa: mining statistically significant paths in time series data from an unknown network.</a></emph> Knowl. Inf. Syst.</li>
+<h3 class="mb-0">2023</h3><ul><li>Leonardo Pellegrina <emph><a href="https://doi.org/10.1145/3580305.3599325">Efficient Centrality Maximization with Rademacher Averages.</a></emph> KDD</li>
+<li>Andrea Tonon, Fabio Vandin <emph><a href="https://doi.org/10.1007/s10115-022-01800-7">caSPiTa: mining statistically significant paths in time series data from an unknown network.</a></emph> Knowl. Inf. Syst.</li>
+<li>Dario Simionato, Fabio Vandin <emph><a href="https://doi.org/10.24963/ijcai.2023/726">Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract).</a></emph> IJCAI</li>
+<li>Enrico Dandolo, Andrea Pietracaprina, Geppino Pucci <emph><a href="https://doi.org/10.1007/978-3-031-39698-4_32">Distributed k-Means with Outliers in General Metrics.</a></emph> Euro-Par</li>
 <li>Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Federico Soldà <emph><a href="https://doi.org/10.1186/s40537-023-00717-4">Scalable and space-efficient Robust Matroid Center algorithms.</a></emph> J. Big Data</li>
+<li>Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser <emph><a href="https://doi.org/10.1145/3603719.3603732">Indexing Temporal Relations for Range-Duration Queries.</a></emph> SSDBM</li>
+<li>Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci <emph><a href="https://doi.org/10.1007/978-3-031-38906-1_41">Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics.</a></emph> WADS</li>
+<li>Paolo Pellizzoni, Fabio Vandin <emph><a href="https://doi.org/10.1109/ICDE55515.2023.00190">VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining.</a></emph> ICDE</li>
 <li>Shiyuan Deng, Francesco Silvestri, Yufei Tao <emph><a href="https://doi.org/10.4230/LIPIcs.ICDT.2023.4">Enumerating Subgraphs of Constant Sizes in External Memory.</a></emph> ICDT</li></ul>
 <h3 class="mb-0">2022</h3><ul><li>Fabio Vandin <emph><a href="https://doi.org/10.1145/3535334">Technical perspective: Evaluating sampled metrics is challenging.</a></emph> Commun. ACM</li>
 <li>A. Guiotto, G. Bortolami, A. Ciniglio, F. Spolaor, G. Guarneri, A. Avogaro, F. Cibin, F. Silvestri, Z. Sawacha. <emph><a href="https://www.sciencedirect.com/science/article/abs/pii/S0966636222005537">Machine learning approach to diabetic foot risk classification with biomechanics data</a></emph> Gait & Posture</li>
@@ -112,6 +118,7 @@ <h3 class="mb-0">2022</h3><ul><li>Fabio Vandin <emph><a href="https://doi.org/10
 <li>Davide Buffelli, Fabio Vandin <emph><a href="https://doi.org/10.1109/IJCNN55064.2022.9892010">Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach.</a></emph> IJCNN</li>
 <li>Davide Buffelli, Fabio Vandin <emph><a href="https://doi.org/10.3390/data7010010">The Impact of Global Structural Information in Graph Neural Networks Applications.</a></emph> Data</li>
 <li>Davide Buffelli, Pietro Lió, Fabio Vandin <emph><a href="https://papers.nips.cc/paper_files/paper/2022/hash/ceeb3fa5be458f08fbb12a5bb783aac8-Abstract-Conference.html">SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks</a></emph> NeurIPS</li>
+<li>Davide Buffelli, Pietro Lió, Fabio Vandin <emph><a href="http://papers.nips.cc/paper_files/paper/2022/hash/ceeb3fa5be458f08fbb12a5bb783aac8-Abstract-Conference.html">SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks.</a></emph> NeurIPS</li>
 <li>Diego Santoro, Ilie Sarpe <emph><a href="https://doi.org/10.1145/3485447.3512204">ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks.</a></emph> WWW</li>
 <li>Diego Santoro, Leonardo Pellegrina, Matteo Comin, Fabio Vandin <emph><a href="https://doi.org/10.1093/bioinformatics/btac180">SPRISS: approximating frequent k-mers by sampling reads, and applications.</a></emph> Bioinform.</li>
 <li>Johann Gamper, Matteo Ceccarello, Anton Dignös <emph><a href="https://doi.org/10.1007/978-3-031-15740-0_5">What&apos;s New in Temporal Databases?</a></emph> ADBIS</li>
@@ -231,4 +238,4 @@ <h2 class="mb-5">Master Theses</h2>
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