Luca Cazzanti's Publications

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"Scalable and Distributed Sea Port Operational Areas Estimation from AIS data," L. M. Millefiori, D. Zissis, L. Cazzanti, G. Arcieri, IEEE Int. Conf. Data Mining, Barcelona, Spain, December 2016.

"Automated Port Traffic Statistics: From Raw Data to Visualisation," L. Cazzanti, A. Davoli, L. M. Millefiori, IEEE Int. Conf. Big Data, Washington, DC, USA, December 2016.

"A Distributed Approach to Estimating Sea Port Operational Regions from Lots of AIS Data," L. M. Millefiori, D. Zissis, L. Cazzanti, G. Arcieri, IEEE Int. Conf. Big Data, Washington, DC, USA, December 2016.

"Decision Tree-Based Adaptive Modulation for Underwater Acoustic Communications," K. Pelekanakis, L. Cazzanti, G. Zappa, J. Alves, IEEE UCOMMS, Lerici, Italy, September 2016.

"Scalable Estimation of Port Areas from AIS Data," L. M. Millefiori, L. Cazzanti, D. Zissis, G. Arcieri, Workshop on Maritime Knowledge Discovery and Anomaly Detection, Ispra, Italy, July 2016.

"Applications of Nanosatellites for Persistent MSA," L. Cazzanti, CMRE Technical Progress Report, June 2016. [NATO Unclassified]

"Maritime Situational Awareness Use Cases Enabled by Space-borne Sensors," L. M. Millefiori, G. Vivone, P. Braca, L. Cazzanti, K. Bryan, SCI-283 Symposium on Considerations for Space and Space-Enabled Capabilities in NATO Coalition Operations, Loghborough, UK, May 2016.

"Design of a distributed, fault-tolerant, non-relational database capability for maritime vessel traffic data," L. M. Millefiori, G. arcieri, L. Cazzanti, CMRE Technical Progress Report, April 2016. [NATO Unclassified]

"Big Data Architectures in Support of Computational Maritime Situational Awareness - Case Study in Port Traffic Analysis," L. Cazzanti, A. Davoli, CMRE Technical Report, CMRE-FR-2015-021, December 2015. [NATO Unclassified]

"A Document-based Data Model in Support of Large Scale Computational Maritime Situational Awareness," L. Cazzanti, L. M. Millefiori, G. Arcieri, IEEE Int. Conf. Big Data, Santa Clara, October 2015.

"An Information Game to Support the Development of a NATO Harbour Protection Capability" L. Cazzanti, J. Locke, CMRE Memorandum Report, CMRE-2015-MR-007, June 2015. [NATO Unclassified]

"Mining Maritime Vessel Traffic: Promises, Challenges, Techniques," L. Cazzanti, G. Pallotta, IEEE/MTS OCEANS, Genova, Italy, May 2015.

"Optimization of Surveillance Vessel Network Planning in Maritime Command and Control Systems by Fusing METOC and AIS Vessel Traffic Information," T. Fabbri, R. Vicen-Bueno, R. Grasso, G. Pallotta, L. M. Millefiori, L. Cazzanti, IEEE/MTS OCEANS, Genova, Italy, May 2015.

"Unsupervised Ranking and Characterization of Differentiated Clusters," L. Cazzanti, C. Mehanian, J. Penzotti, D. Scott, O. Downs, IEEE Conference on Information and Security Informatics, Seattle, June 2013.

"Multi-task Output Regularization," S. Feldman, B. A. Frigyk, M. R. Gupta, L. Cazzanti, P. Sadowski, arXiv:1107.4390v3 [stat.ML], July 2011.

"Multi-task regularization of generative similarity models," L. Cazzanti. S. Feldman, M. R. Gupta, M. Gabbay, In M. Pelillo and E.R. Hancock (Eds.): SIMBAD 2011, LNCS 7005, pp. 90--103. Springer, Heidelberg (2011).

"Differential frequency hopping (DFH) modulation for underwater mobile ad-hoc networks [U]," D. Egnor, G. Edelson. L.Cazzanti, A. Das, U.S. Navy Journal of Underwater Acoustics, accepted for publication.

"Differential frequency hopping performance in Doppler-inducing underwater acoustic communication channels," L. Cazzanti, A. K. Das, D. Egnor, G. Edelson, J. Acoust. Soc. Am. Volume 129, Issue 4, pp. 2665-2665 (May 2011).

"Improved Multipath Robustness of DFH Modulation in the Underwater Acoustic Channel," L. Cazzanti, D. Egnor, G. Edelson, A. Das, Proc. IEEE/MTS OCEANS, Seattle, September 2010.

"Bayesian and Pairwise Local Similarity Discriminant Analysis," P. Sadowski, L. Cazzanti and M. R. Gupta, Proc. Intl. Workshop on Cognitive Information Processing (CIP), Isola d'Elba, Italy, June 2010.

"Regularizing the Local Similarity Discriminant Analysis Classifier," L. Cazzanti and M. R. Gupta, Proc. Intl. Conf. on Machine Learning and Applications (ICMLA), Miami Beach, December 2009.

"Using Speech Technology to Enhance Isotope ID and Classification," L. M. D. Owsley, J. J. McLaughlin, L. G. Cazzanti, and S. R. Salaymeh, Proc. IEEE Nuclear Science Symposium, Orlando, FL, October 2009.

"Learning from Similarities and Other Pairwise Relationships," L. Cazzanti, M. R. Gupta, and Y. Chen. Presented at the Human, Social, Cultural, Behavioral Modeling Workshop (HSCB Focus 2010), Chantilly, August 2009.

"Fusing Similarities and Euclidean Features with Generative Classifiers," L. Cazzanti, M.R. Gupta, and S. Srivastava, Proc. Intl. Conf. on Information Fusion (FUSION), Seattle, July, 2009.

"Modeling differential frequency hopping communication in the underwater acoustic channel," L. Cazzanti, J. Hsieh, D. Egnor and G. S. Edelson, J. Acoust. Soc. Am. Volume 125, Issue 4, pp. 2581-2581 (April 2009).

"Multichannel combination investigations for differential frequency hopping transmissions in shallow water," D. Egnor, G. S. Edelson, L. Cazzanti, and J. Hsieh,J. Acoust. Soc. Am. Volume 125, Issue 4, pp. 2581-2581 (April 2009).

"Differential Frequency Hopping (DFH) Modulation for Underwater Acoustic Communications and Networking [U]," D. Egnor, G. S. Edelson, L. Cazzanti, and J. Hsieh, U.S. Navy Journal of Underwater Acoustics, April 2009.

"Similarity-based Classification: Concepts and Algorithms," Y. Chen, E. K. Garcia, M. R. Gupta, A. Rahimi, and L. Cazzanti, Journal of Machine Learning Research, March 2009.

"Underwater Acoustic Single- and Multi-User Differential Frequency Hopping Communications," D. Egnor, L. Cazzanti, J. Hsieh, and G. S. Edelson, Proc. IEEE/MTS OCEANS, Quebec City, 2008.

"Generative Models for Similarity-Based Classification," L. Cazzanti, M. R. Gupta, and A. J. Koppal, Pattern Recognition, vol. 41, no. 7, 2289-2297, 2008.

Patent: "Automatic Identification of Sound Recordings," M. Wells, V. Venkatachalam, L. Cazzanti, K. Cheung, N. Dhillon, and S. Sukittanon, USPTO N. 7328153, Feb 5, 2008.

"Generative Models for Similarity-based Classification," L. Cazzanti, Ph.D. dissertation, University of Washington, Seattle, 2007.

"Local Similarity Discriminant Analysis," L. Cazzanti and M. R. Gupta, Intl. Conf. Machine Learning (ICML), 2007.

"Maximum Entropy Generative Models for Similarity-based Learning," M. R. Gupta, L. Cazzanti and A. Koppal, Proc. IEEE Intl. Symposium on Information Theory, 2007.

"Information-theoretic and Set-theoretic Similarity," L. Cazzanti and M. R. Gupta, Proc. IEEE Intl. Symposium on Information Theory, 2006.

"Minimum Expected Risk Estimation for Near-neighbor Classification," M. R. Gupta, S. Srivastava and L. Cazzanti, UWEE Tech Report, 2006.

"Reverse Engineering the Sound of Jazz," L. Cazzanti, V. Hasbrook, M. R. Gupta, UW EE Technical Report Series 2006-0011.

"Minimum Expected Risk Probability Estimates for Nonparametric Neighborhood Classifiers," Maya R. Gupta, Luca Cazzanti, and Santosh Srivastava, Proc. IEEE Workshop on Statistical Signal Processing, 2005.

"Quality assessment of low free-energy protein structure predictions," L. Cazzanti, M. R. Gupta, L. Malmstroem, and D. Baker, Proc. IEEE Workshop on Machine Learning for Signal Processing, 2005.

"Feature-based Modulation Classification Using Circular Statistics," K. Davidson, L. Cazzanti, J. Pitton. and J. Goldschneider, MILCOM, 2004.

"Automatic Identification of Sound Recordings," V. Venkatachalam, L. Cazzanti, N. Dhillon, and M. Wells, IEEE Signal Processing Magazine, March 2004.

"Blind Demodulation Toolbox - User's Guide and Reference Manual," L. Cazzanti, K. Davidson, J. Pitton and J. Goldschneider, Insightful Corporation Technical Report, Seattle, WA, March 2004. (Joint work of Insightful Corp. and Applied Physics Laboratory - University of Washington)

"Rapid Prototyping of Blind Demodulation Algorithms," J. Goldschneider, L. Cazzanti, D. Stanford and J. Pitton, MathSoft Research Department Technical Report, August 2000.

"Positive Time-Frequency Distributions via Numerical Optimization," J. Pitton and L. Cazzanti, MathSoft Research Department Technical Report N. 90, October 1999.

"S+DigComm: User Manual," T. Chauvin, J. Goldschneider, J. Pitton, and L. Cazzanti, MathSoft Research Department Technical Report N. 61, October 1998.

"S+SigPro: User Manual," J. Pitton and L. Cazzanti, MathSoft Research Department Technical Report N. 58, October 1998.

"Parameter Extraction with Neural Networks", L. Cazzanti, M. Khan, and F. Cerrina, SPIE 23rd Annual Symposium on Microlithography, Santa Clara, California, February 1998.

"Lithography Parameter Extraction and Optimization Using Neural Networks," L. Cazzanti, Master's Thesis, University of Wisconsin-Madison, December 1997.
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