Journals

INTERNATIONAL JOURNALS

  • C. Alippi, M. Roveri, “The (not) far away path from smart cyber-physical systems: an information-centric framework”, IEEE Computers Magazine, Accepted, 2017.
  • C. Alippi, S. Ntalampiras, M. Roveri, “Model-free Fault Detection and Isolation in Large-scale Cyber-physical Systems”, accepted for publication in IEEE Transactions on Emerging Topics in Computational Intelligence, 2017.
  • M. Roveri, F. Trovò, “An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks”, International Journal of Neural Systems, vol. 27, no. 3, 2017, pp. 16.
  • C. Alippi, R. Fantacci, D. Marabissi, M. Roveri, “A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things”, IEEE Communication Magazine, Vol.54, No 12, pp. 14-20, December 2016.
  • G. Boracchi, M. Michaelides, M. Roveri, “A cognitive monitoring system for detecting and isolating contaminants and faults in intelligent buildings”, accepted for publication in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016.
  • S. Brienza, M. Roveri, D. De Guglielmo, G. Anastasi, “Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs”, ACM Transactions on Autonomous and Adaptive Systems (TAAS), vol. 10, no. 4, 2016.
  • Alippi; G. Boracchi; M. Roveri, “Hierarchical Change-Detection Tests,” in IEEE Transactions on Neural Networks and Learning Systems, 2016
  • C. Alippi, M. Bocca, G. Boracchi, N. Patwari, M. Roveri, RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization, IEEE Transactions on Mobile Computing,  vol. 15, no. 10, pp. 2585-2598, 2016.
  • Alippi, G. Boracchi and M. Roveri, “A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting,” in IEEE Systems Journal, vol. 10, no. 2, pp. 733-744, June 2016.
  • M. À. Cugueró-Escofet, J. Quevedo, C. Alippi, M. Roveri, V. Puig, D. García and F. Trovò, “Model- vs. data-based approaches applied to fault diagnosis in potable water supply networks”, Journal of Hydroinformatics, vol. 18, no. 6, 2016
  • Buoncristiano, G. Mecca, E. Quintarelli, M. Roveri, D. Santoro, and L. Tanca, “Database Challenges for Exploratory Computing”, SIGMOD Rec. Vol. 44, No. 2, pp. 17-22, August 2015
  • G. Ditzler, M. Roveri, C. Alippi and R. Polikar, “Learning in Nonstationary Environments: A Survey,” in IEEE Computational Intelligence Magazine, vol. 10, no. 4, pp. 12-25, Nov. 2015.
  • C. Alippi, M. Roveri, F. Trovò, “A Self-building and Cluster-based Cognitive Fault Diagnosis System for Sensor Networks”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, No. 6, pp. 1021-1032, June 2014.
  • C. Alippi, G. Boracchi, M. Roveri, “Ensembles of Change-Point Methods to Estimate the Change Point in Residual Sequences”, Soft Computing, Springer, Vol. 17, No. 11, pp.  1971-1981, Nov. 2013.
  • C. Alippi, S. Ntalampiras, M. Roveri, ”A Cognitive Fault Diagnosis System for Sensor Networks”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, No. 8, pp. 1213-1226, Aug. 2013.
  • C. AIippi, R. Camplani, C. Galperti, A. Marullo, M. Roveri, “A high frequency sampling monitoring system for environmental and structural applications”, ACM Transactions on Sensor Networks, Vol. 9, No. 4, Art. 41, 32 pages, July 2013.
  • C. Alippi, G. Boracchi, M. Roveri, “Just In Time Classifiers for Recurrent Concepts”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, No. 4, pp. 620 – 634, April 2013. This paper received the 2016 IEEE CIS Outstanding TNNLS Paper Award from the IEEE Computational Intelligence Society.
  • C. Alippi, G. Boracchi, M. Roveri, “A just-in-time adaptive classification system based on the intersection of confidence intervals rule”, Neural Networks, Elsevier, Vol. 24, No. 8, pp. 791-800, Oct. 2011.
  • C. Alippi, R. Camplani, C. Galperti, M. Roveri, “A robust, adaptive, solar powered WSN framework for aquatic environmental monitoring”, IEEE Sensors Journal, Vol. 11, No. 1, pp. 45-55, Jan. 2011.
  • C. Alippi, G. Boracchi, R. Camplani, M. Roveri, “Detecting External Disturbances on Camera Lens in Wireless Multimedia Sensor Networks”, IEEE Transactions on Instrumentation and Measurement, Vol. 59, No. 11, pp. 2982-2990, Nov. 2010.
  • C. Alippi, G. Anastasi, M. Di Francesco, M. Roveri, “An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks with Energy-hungry Sensors”, IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 11, pp. 335 – 344, Nov. 2009.
  • C. Alippi, R. Camplani, M. Roveri, “An Adaptive, LLC-based and Hierarchical Power-aware Routing Algorithm”, IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 9, pp. 3347-3357, Sept. 2009.
  • C. Alippi, G. Anastasi, M. Di Francesco, M. Roveri, “Energy Management in Wireless Sensor Networks with Energy-Hungry Sensors”, IEEE Instrumentation and Measurement Magazine, Vol. 12, No. 2, pp. 16-23, April 2009.
  • C. Alippi, M. Roveri, “Just-in-time Adaptive Classifiers. Part II. Designing the classifier”, IEEE Transactions on Neural Networks, Vol. 19, No. 12, pp. 2053 – 2064, Dec. 2008.
  • C. Alippi, M. Roveri, “Just-in-time Adaptive Classifiers. Part I. Detecting non-stationary Changes”, IEEE Transactions on Neural Networks, Vol. 19, No. 7, pp. 1145 – 1153, July 2008.
  • F. Amigoni, N. Gatti, C. Pinciroli, M. Roveri, “What Planner for Ambient Intelligence Applications?”, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, Vol. 35, No. 1, pp. 7–21, Jan. 2005.

ITALIAN JOURNALS

  • A. Capone, M. Cesana, M. Roveri, “Gli oggetti nel futuro di Internet”, Rivista AEIT, n. 11/12, Nov./Dec. 2012.