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<h3class="mb-0">2024</h3><ul><li>Adam Charane, Matteo Ceccarello, Johann Gamper <emph><ahref="https://doi.org/10.1007/978-3-031-68323-7_19">Comparison of Measures for Characterizing the Difficulty of Time Series Classification.</a></emph> DaWaK</li>
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<li>Adam Charane, Matteo Ceccarello, Johann Gamper <emph><ahref="https://ceur-ws.org/Vol-3653/paper4.pdf">Shapelets Evaluation using Silhouettes for Time Series Classification.</a></emph> DOLAP</li>
<li>Cristian Boldrin, Fabio Vandin <emph><ahref="https://doi.org/10.1109/ICDM59182.2024.00010">Fast and Accurate Triangle Counting in Graph Streams Using Predictions.</a></emph> ICDM</li>
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<li>Dario Simionato, Fabio Vandin <emph><ahref="https://doi.org/10.1007/s10618-024-01069-0">Bounding the family-wise error rate in local causal discovery using Rademacher averages.</a></emph> Data Min. Knowl. Discov.</li>
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<li>Enrico Dandolo, Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci <emph><ahref="https://doi.org/10.1016/j.jpdc.2024.104966">MapReduce algorithms for robust center-based clustering in doubling metrics.</a></emph> J. Parallel Distributed Comput.</li>
@@ -149,6 +149,7 @@ <h3 class="mb-0">2022</h3><ul><li>A. Guiotto, G. Bortolami, A. Ciniglio, F. Spol
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<li>Johann Gamper, Matteo Ceccarello, Anton Dignös <emph><ahref="https://doi.org/10.1007/978-3-031-15740-0_5">What's New in Temporal Databases?</a></emph> ADBIS</li>
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<li>Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato <emph><ahref="https://doi.org/10.1145/3532187">MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.</a></emph> ACM Trans. Knowl. Discov. Data</li>
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<li>Leonardo Pellegrina, Fabio Vandin <emph><ahref="https://pubmed.ncbi.nlm.nih.gov/36124798/">Discovering significant evolutionary trajectories in cancer phylogenies</a></emph> Bioinformatics</li>
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<li>Leonardo Pellegrina, Fabio Vandin <emph><ahref="https://doi.org/10.1093/bioinformatics/btac467">Discovering significant evolutionary trajectories in cancer phylogenies.</a></emph> Bioinform.</li>
<li>Martin Aumüller , Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri <emph><ahref="https://doi.org/10.1145/3543667">Sampling near neighbors in search for fairness.</a></emph> Commun. ACM</li>
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<li>Martin Aumüller , Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri <emph><ahref="https://doi.org/10.1145/3502867">Sampling a Near Neighbor in High Dimensions - Who is the Fairest of Them All?</a></emph> ACM Trans. Database Syst.</li>
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