Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Siebes, Arno"'
Technology-Assisted Review (TAR) aims to reduce the human effort required for screening processes such as abstract screening for systematic literature reviews. Human reviewers label documents as relevant or irrelevant during this process, while the s
Externí odkaz:
http://arxiv.org/abs/2404.01176
Autor:
Nanni, Mirco, Andrienko, Gennady, Barabási, Albert-László, Boldrini, Chiara, Bonchi, Francesco, Cattuto, Ciro, Chiaromonte, Francesca, Comandé, Giovanni, Conti, Marco, Coté, Mark, Dignum, Frank, Dignum, Virginia, Domingo-Ferrer, Josep, Ferragina, Paolo, Giannotti, Fosca, Guidotti, Riccardo, Helbing, Dirk, Kaski, Kimmo, Kertesz, Janos, Lehmann, Sune, Lepri, Bruno, Lukowicz, Paul, Matwin, Stan, Jiménez, David Megías, Monreale, Anna, Morik, Katharina, Oliver, Nuria, Passarella, Andrea, Passerini, Andrea, Pedreschi, Dino, Pentland, Alex, Pianesi, Fabio, Pratesi, Francesca, Rinzivillo, Salvatore, Ruggieri, Salvatore, Siebes, Arno, Trasarti, Roberto, Hoven, Jeroen van den, Vespignani, Alessandro
Publikováno v:
Transactions on Data Privacy 13(1): 61-66 (2020), http://www.tdp.cat/issues16/abs.a389a20.php
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn,
Externí odkaz:
http://arxiv.org/abs/2004.05222
We consider the problem of performing inference with imprecise continuous-time hidden Markov chains, that is, imprecise continuous-time Markov chains that are augmented with random output variables whose distribution depends on the hidden state of th
Externí odkaz:
http://arxiv.org/abs/1702.06791
Continuous-time Markov chains are mathematical models that are used to describe the state-evolution of dynamical systems under stochastic uncertainty, and have found widespread applications in various fields. In order to make these models computation
Externí odkaz:
http://arxiv.org/abs/1611.05796
We study how to obtain concise descriptions of discrete multivariate sequential data. In particular, how to do so in terms of rich multivariate sequential patterns that can capture potentially highly interesting (cor)relations between sequences. To t
Externí odkaz:
http://arxiv.org/abs/1512.07056
Our world is filled with both beautiful and brainy people, but how often does a Nobel Prize winner also wins a beauty pageant? Let us assume that someone who is both very beautiful and very smart is more rare than what we would expect from the combin
Externí odkaz:
http://arxiv.org/abs/1512.07048
Autor:
Omta, Wienand A. *, van Heesbeen, Roy G., Shen, Ian, de Nobel, Jacob, Robers, Desmond, van der Velden, Lieke M., Medema, René H., Siebes, Arno P.J.M., Feelders, Ad J., Brinkkemper, Sjaak, Klumperman, Judith S., Spruit, Marco René, Brinkhuis, Matthieu J.S., Egan, David A.
Publikováno v:
In SLAS Discovery July 2020 25(6):655-664
Publikováno v:
In International Journal of Approximate Reasoning September 2017 88:452-528
Publikováno v:
Statistical Journal of the IAOS; 2023, Vol. 39 Issue 4, p903-920, 18p
Publikováno v:
In Journal of Biomedical Informatics 2010 43(4):578-586