izr. prof. dr. Fabio Ricciato
Izredni profesor
E: fabio.ricciato@fri.uni-lj.si
Prostor: R2.47
  • F. Ricciato, S. Sciancalepore, G. Boggia, Tracing a linearly moving node from asynchronous time-of-arrival measurements, IEEE Communication Letters, 2016 (link)

  • F. Ricciato, P. Widhalm, M. Craglia, F. Pantisano, Beyond the "single-operator, CDR-only" paradigm: An interoperable framework for mobile phone network data analyses and population density estimation, Pervasive and Mobile Computing, May 2016 (link).
  • A. Janecek, D. Valerio, K. Hummel, F. Ricciato, H. Hlavacs, The Cellular Network as a Sensor: From Mobile Phone Data to Real-Time Road Traffic Monitoring, IEEE Transactions on Intelligent Transportation Systems, vol. 16, issue 5, pp. 2551 - 2572, October 2015. (link).
  • N. Facchi, F. Gringoli, F. Ricciato, A. TomaEmitter Localisation from Reception Timestamps in Asynchronous Networks, arxiv.org/abs/1407.8056.

  • A. Coluccia, F. Ricciato, P. Romirer Robust Estimation of Mean Failure Probability in Access Networks, Computer Networks, vol. 73, November 2014, Pages 282-301, doi:10.1016/j.comnet.2014.09.001 .

  • A. Coluccia, F. Ricciato, RSS-based localization via Bayesian ranging and Iterative Least Squares positioning, IEEE Communication Letters, Vol. 18, n. 5, May 2014 (link).
  • A. Coluccia, F. Ricciato, G. Ricci, Positioning Based on Signals of Opportunity, IEEE Communication Letters, Vol. 18, n. 2, February 2014 (link).
  • A. Coluccia, A. D'Alconzo, F. Ricciato, Distribution-based Anomaly Detection via Generalized Likelihood Ratio Test: a general Maximum Entropy approach, Computer Networks, vol. 57, Issue 17, December 2013, pages 3446-3462, (DOI 10.1016/j.comnet.2013.07.028).
  • A. Iacovazzi, A. D'Alconzo, F. Ricciato, M. Burkhart, Elementary Secure-Multiparty Computation for massive-scale collaborative network monitoring: a quantitative assessment, Computer Networks, vol. 57, Issue 17, December 2013, pages 3728-3742, (DOI 10.1016/j.comnet.2013.08.017).
  • F. Ricciato, P. Castiglione, Pseudo-random Aloha for Enhanced Collision-recovery in RFID, IEEE Communication Letters, Vol. 17, n. 3, March 2013 (link).