Publications
International Journals
D.Zambon, C.Alippi , L.Livi, Concept Drift and Anomaly Detection in Graph Streams, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2018, DOI 10.1109/TNNLS.2018.2804443
L.Livi , F.M.Bianchi, C.Alippi, "Determination of the edge of criticality in echo state networks through Fisher information maximization", IEEE Transactions on Neural Networks and Learning Systems, Vol 29, No 3, pp 706-717, 2018, 10.1109/TNNLS.2016.2644268
A. Dal Pozzolo, G.Boracchi, O.Caelen, C. Alippi, G.Bontempi, Credit Card Fraud Detection: a Realistic Modeling and a Novel Learning Strategy , IEEE Transactions on Neural Networks and Learning Systems, accepted, 2017, 10.1109/TNNLS.2017.2736643
F.M.Bianchi, L.Livi , C.Alippi, R.Jenssen, Multiplex visibility graphs to investigate recurrent neural networks dynamics, Nature-Scientific reports, Vol.7, pp.44037-44049 (2017), 2017, 10.1038/srep44037
C.Alippi, M.Roveri, C.Alippi, M.Roveri, The (not) far away path to smart cyber-physical systems: an information-centric framework, IEEE Computers Magazine, Vol 50, No 4, 2017, pp. 1-9
S.B. Gee, K.C. Tan, C. Alippi, "Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach", IEEE Transactions on Cybernetics, accepted for publication, (2016)
L. Livi, C. Alippi, "One-class classifiers based on entropic spanning graphs, IEEE Transactions on Neural Networks and Learning Systems", accepted for publication
, (2016)
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
F.M.Bianchi, L.Livi, C.Alippi, "Investigating echo state networks dynamics by means of recurrence analysis", IEEE Transactions on Neural Networks and Learning Systems, accepted, 2016
L. Bo, C.Alippi, D.Zhao, "A Pdf-free Change Detection Test Based on Density Difference Estimation", IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol 47, No 10, October 2017, pp.2714-2726, 10.1109/TSMC.2017.2682502
C.Alippi, S.Ntalampiras, M.Roveri, "Model-free fault detection and isolation in large-scale cyber-physical systems", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol 1.No1. Feb, 2017, pp. 61-71
IEEE Transactions on Emerging Topics in Computational Intelligence, 2016
C.Alippi, G.Boracchi, B.Wolhberg, IEEE Computational Intelligence Magazine, Special issue on Model Complexity, Regularization, and Sparsity. Guest editorial (2016).
C. Alippi, G. Boracchi, M. Roveri, "Hierarchical Change-Detection Tests", IEEE Transactions on Neural Networks and Learning Systems, In Press (2016) .
C. Alippi, M. Bocca, G. Boracchi, N. Patwari, M. Roveri, "RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization", in IEEE Transactions on Mobile Computing , vol.PP, no.99, pp.1-1, 2015.
C. Alippi, G. Boracchi, M. Roveri, “A reprogrammable and intelligent monitoring system for rock collapse forecasting”, in IEEE Systems Journal , vol.PP, no.99, pp.1-12, 2015.
G. Ditzler, M. Roveri, C. Alippi, R. Polikar, "Learning in Nonstationary Environments: A Survey", IEEE Computational Intelligence Magazine, vol. 10, no. 4, pp. 12-25, 2015.
C.Alippi, M.Roveri, F.Trovo’, "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, D.Liu, D.Zhao, L.Bu, "Detecting and Reacting to Changes in Sensing Units: the Active Classifier Case", IEEE Transactions on System, Man, Cybernetics: Systems, Vol. 44, No. 3, pp.353-362, 2014
B.Wang, D.Zhao, C.Alippi, D.Liu, "Dual Heuristic Dynamic Programming for Nonlinear Discrete-Time UncertainSystems with State Delay", Neurocomputing, Elsevier, Vol. 134, pp. 222–229, 2014.
C.Alippi, G.Boracchi, M. Roveri, "Ensembles of Change-Point Methods to Estimate the Change Point in Residual Sequences", Soft Computing, Volume 17, Issue 11, pp 1971-1981, November 2013.
C. Alippi, G. Boracchi, M. Roveri, (2012) "Just In Time Classifiers for Recurrent Concepts", IEEE Special issue on Learning in Nonstationary and Evolving Environments, IEEE Transactions on Neural Networks and Learning Systems, Vol.24, No.4., pp.620-634, April, 2013.
C. Alippi, S. Ntalampiras, and 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, August, 2013
C. Alippi, R. Camplani, C. Galperti, A. Marullo, M. Roveri, A high frequency sampling monitoring system for environmental and structural applications. Part A, ACM Transactions on Sensor Networks, pp.1-32, ACM Trans. Sen. Netw. 9, 4, Article 41 (July 2013), 32 pages.
D. Zhao, Z. Hu, Z. Xia, C. Alippi, Y. Zhua , D. Wang, Full-range Adaptive Cruise Control Based on Supervised Adaptive Dynamic Programming, Neurocomputing, Elsevier, Volume 125, 11 February 2014, Pages 57-67, ISSN 0925-2312
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 , pp. 791-800, (2011)
C. Alippi, R. Camplani, C. Galperti, M. Roveri, A robust, adaptive, solar powered WSN framework for aquatic environmental monitoring, Sensors Journal, IEEE , 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, (pp. 2982- 2990), 59. (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. 59, Issue 2, Feb. 2010 pp. 335 - 344
C.Alippi, R.Camplani, M.Roveri, An Adaptive, LLC-based and Hierarchical Power-aware Routing Algorithm, IEEE-Transactions on Instrumentation and Measurement. Volume: 58 Issue: 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. 2, No. 2, pp 16-23, 2009.
C.Alippi, M.Roveri: Just-in-time Adaptive Classifiers. Part II. Designing the Classifier, IEEE-Transactions on Neural Networks. IEEE Transactions on Neural Networks, Volume 19, Issue 12, December 2008, pp.2053 - 2064.
C.Alippi , C.Galperti: An embedded wireless system for estimating the exposition risk in first emergency management , International Journal on Smart Sensing and Intelligent Systems, Vol. 1, N0. 3, September 2008, pp. 592-612, online @ http://www.s2is.org/Issues/v1/n3/
C.Alippi , C.Galperti: An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes , IEEE-Transactions on Circuits and Systems I: regular papers, Vol. 55, No. 6, July 2008, pp. 1742 - 1750.
C.Alippi, M.Roveri: Just-in-time Adaptive Classifiers. Part I. Detecting non-stationary Changes , IEEE-Transactions on Neural Networks, Vol. 19, No. 7, July 2008, pp. 1145 - 1153
C.Alippi, P.Braione: Classification Methods and Inductive Learning Rules: What we May Learn from Theory , IEEE-Transactions on Systems, Man, Cybernetics Part C, Vol. 36, No. 5, September 2006, pp. 649 – 655.
C.Alippi, F.Scotti: Exploiting Application Locality to Design low complexity, Highly Performing and Power Aware Embedded Classifiers , IEEE-Transactions on Neural Networks, Vol. 17, No. 3, May 2006, pp. 745 - 754
C.Alippi, M.Catelani, A.Fort, M.Mugnaini: Automated Selection of Test Frequencies for Fault Diagnosis in Analog Electronic Circuits , IEEE-Transactions on Instrumentation and Measurement, Vol.54.No.3, June 2005, pp 1033-1044.
C.Alippi, A.Giussani, C.Micheletti, F.Roncoroni, G.Stefini, G.Vassena: GPS and WEBGIS: A Survey Experience in the Mt.everest National Park , IEEE-Instrumentation and Measurement Magazine, Vol.7.No.4, December 2004, pp 36-43.
C.Alippi, M.Stellini, A.Galbusera: A high Level Synthesis Methodology for Multidimensional Systems , IEEE-Transactions on CAD of Integrated Circuits and Systems, Vol. 22, No. 11, November 2003, pp 1457-1470.
C.Alippi, C. De Russis, V.Piuri: Neural-based Solutions to Control Exhaust Emissions in Automotive Fuel-Injection Systems , IEEE-Transactions on Systems, Man, Cybernetics, Vol. 33, No. 2, May 2003, pp 259-268.
C.Alippi: Selecting Accurate, Robust and Minimal Feedforward Neural Networks , IEEE-Transactions on Circuits and Systems: Part I, Fundamental theory and applications. Vol. 49, No. 12, December 2002, pp 1799-1810.
C.Alippi, M.Catelani, A.Fort, M.Mugnaini: SBT Soft Fault Diagnosis In Analog Electronic Circuits: A Sensitivity-Based Approach By Randomized Algorithms , IEEE-Transactions on Instrumentation and Measurement, Vol.51, No.5, October, 2002, pp.1116-1125
C.Alippi: A Probably Approximately Correct Framework to estimate Performance Degradation in Embedded Systems , IEEE-Transactions on CAD of Integrated Circuits and Systems, Vol. 21, No. 7, July 2002, pp. 749-762.
C.Alippi: Application-Level Robustness and Redundancy in LinearSystems , IEEE-Transactions on Circuits and Systems: Part I, Fundamental theory and applications, Vol. 49, No. 7, July 2002, pp1024-1027.
C.Alippi: Randomised Algorithms: A System-Level, Poly-time Analysis of Robust Computation , IEEE-Transactions on Computers, Los Alamitos (CA), USA, Vol.51, No.7, July 2002, pp.740-749.
M. Catelani, A.Fort, C.Alippi, A Fuzzy Approach for Soft Fault Detection in Analog Circuits, Measurement, Elsevier, Vol. 32., No. 1, July 2002, pp.73-83
C.Alippi, V.Piuri, F.Scotti: Accuracy versus complexity in RBF neural networks, IEEE Instrumentation & Measurement Magazine, Piscataway (NJ), USA,Vol. 4, No. 1, March 2001, pp. 32 -36
C.Alippi, E.Casagrande, V.Piuri, F.Scotti: Composite Real-Time Image Processing for Railways Track Profile Measurement , IEEE-Transactions on Instrumentation and Measurement, Vol. 49, No. 3, Piscataway (NJ), USA, June 2000, pp. 559-564.
C.Alippi, V.Piuri: Neural Modeling of Dynamic Systems with Nonmeasurable State Variables , IEEE-Transactions on Instrumentation and Measurement, Vol. 48, No. 6, Piscataway (NJ), USA, December 1999, pp. 1073-1080.
C.Alippi: FPE-based Criteria to Dimension Feedforward Neural Networks , IEEE-Transactions on Circuits and Systems: Part I, Fundamental theory and applications, Vol. 46, No.8., Piscataway (NJ), USA, August 1999, pp. 962-973.
C.Alippi, S.Ferrari, V.Piuri, M.Sami, F.Scotti: New Trends in Intelligent System Design for Embedded and Measurement Applications , IEEE- Instrumentation & Measurement Magazine, Vol. 2, No. 2, Piscataway (NJ), USA, June 1999, pp.36-44.
C.Alippi, F.Casamatta, L.Furlan, A.Pelagotti, V.Piuri: NeSS: a Simulation Environment for Behavioural Design of Neural Networks for Prediction and Control, Journal of Integrated Computer-Aided Engineering, John Wiley & Sons Inc. Publisher, Vol. 6 No 3, Amsterdam, The Netherlands, March 1999, pp. 223-232
C.Alippi, F.Fummi, V.Piuri, M.Sami, D.Sciuto: Testability Analysis and Behavioural Testing of the Hopfield Neural Paradigm , IEEE-Transactions on VLSI, Vol.6, No. 3, Piscataway (NJ), USA, September 1998, pp.507-511.
C.Alippi, A.Ferrero, V.Piuri: Artificial Intelligence for Instruments and Measurement Applications , IEEE- Instrumentation & Measurement Magazine, Piscataway (NJ), USA, Vol.1, No. 2, June 1998, pp.9-17.
C.Alippi, L.Briozzo: Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing , IEEE-Transactions on Computers, Vol. 47, No. 4., Los Alamitos (CA), USA, April 1998. pp. 472-477.
C.Alippi, V.Piuri: Experimental Neural Networks for Prediction and Identification, IEEE-Transactions on Instrumentation and Measurement, Vol. 45, No. 2, Piscataway (NJ), USA, April 1996, pp. 670-676.
C.Alippi: Real time analysis of ships in radar images with neural networks, Pattern Recognition, Vol. 28, No. 12, Oxford, UK, December 1995, pp. 1899-1913.
C.Alippi, V.Piuri, M.G.Sami: Sensitivity to errors in artificial neural networks: a behavioural approach , IEEE-Transactions of Circuits and Systems: Part I, Fundamental theory and applications, Vol. 42, No. 6, Piscataway (NJ), USA, June 1995, pp. 358-361.
The Fermi Group: FERMI- A New Generation of Electronic Modules for Large Data Acquisition Arrays Required by High Energy Physics , IEEE Transactions on Components, Packaging, and Manufacturing Technology, part B, Vol 17, n. 3, August 1994, pp. 302-309.
J.L.Ribeiro Filho, P.Treleaven, C.Alippi: Genetic-Algorithm Programming Environments , IEEE-COMPUTER, Vol. 27. No. 6, Los Alamitos (CA), USA, June 1994, pp. 28-43.
The Fermi Group: A digital Front-end and Readout Microsystem for Calorimetry at LHC, Nuclear Instruments and Methods in Physics Research, Section A, North-Holland,1994, pp. 180-184.
The Fermi Group: A digital Front-end and Readout Microsystem for Calorimetry at LHC: The FERMI Project , IEEE Transactions on Nuclear Science, Vol 40, n. 4, August 1993, pp.516-531.
Copyright Notice
This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by sending a blank email message to pubs-permissions@ieee.org.By choosing to view one or more of the following documents you agree to all provisions of the copyright laws protecting them.