Giuliana Pallotta
Cited by
Cited by
Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction
G Pallotta, M Vespe, K Bryan
Entropy 15 (6), 2218-2245, 2013
Maritime anomaly detection: a review
M Riveiro, G Pallotta, M Vespe
WIRES Data Maning and Knowldge Dicsovery, 2018
Maritime traffic networks: From historical positioning data to unsupervised maritime traffic monitoring
VF Arguedas, G Pallotta, M Vespe
IEEE Transactions on Intelligent Transportation Systems 19 (3), 722-732, 2017
Human influence on the seasonal cycle of tropospheric temperature
BD Santer, S Po-Chedley, MD Zelinka, I Cvijanovic, C Bonfils, PJ Durack, ...
Science 361 (6399), eaas8806, 2018
Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results
G Pallotta, S Horn, P Braca, K Bryan
17th international conference on information fusion (FUSION), 1-7, 2014
Traffic knowledge discovery from AIS data
G Pallotta, M Vespe, K Bryan
Proceedings of the 16th International Conference on Information Fusion, 1996 …, 2013
Comparing tropospheric warming in climate models and satellite data
BD Santer, S Solomon, G Pallotta, C Mears, S Po-Chedley, Q Fu, F Wentz, ...
Journal of Climate 30 (1), 373-392, 2017
Causes of differences in model and satellite tropospheric warming rates
BD Santer, JC Fyfe, G Pallotta, GM Flato, GA Meehl, MH England, ...
Nature Geoscience 10 (7), 478-485, 2017
Automatic generation of geographical networks for maritime traffic surveillance
VF Arguedas, G Pallotta, M Vespe
17th international conference on information fusion (FUSION), 1-8, 2014
Data-driven detection and context-based classification of maritime anomalies
G Pallotta, AL Jousselme
2015 18th International Conference on Information Fusion (Fusion), 1152-1159, 2015
Mining maritime vessel traffic: Promises, challenges, techniques
L Cazzanti, G Pallotta
OCEANS 2015-Genova, 1-6, 2015
Quantifying stochastic uncertainty in detection time of human-caused climate signals
BD Santer, JC Fyfe, S Solomon, JF Painter, C Bonfils, G Pallotta, ...
Proceedings of the National Academy of Sciences 116 (40), 19821-19827, 2019
A new control chart for Weibull technological processes
P Erto, G Pallotta
Quality Technology & Quantitative Management 4 (4), 553-567, 2007
An example of data technology product: a control chart for Weibull processes
P Erto, G Pallotta, SH Park
International Statistical Review 76 (2), 157-166, 2008
Robust evaluation of ENSO in climate models: How many ensemble members are needed?
J Lee, YY Planton, PJ Gleckler, KR Sperber, E Guilyardi, AT Wittenberg, ...
Geophysical Research Letters 48 (20), e2021GL095041, 2021
Dissecting uncertainty-based fusion techniques for maritime anomaly detection
AL Jousselme, G Pallotta
2015 18th International Conference on Information Fusion (Fusion), 34-41, 2015
Traffic route extraction and anomaly detection from AIS data
G Pallotta, M Vespe, K Bryan
International COST MOVE Workshop on Moving Objects at Sea, Brest, France, 1-4, 2013
Statistics for innovation
P Erto, P Erto
Springer Milan, 2009
Risk Game: Capturing impact of information quality on human belief assessment and decision making
AL Jousselme, G Pallotta, J Locke
International Journal of serious games 5 (4), 23-44, 2018
The performance of semi-empirical Bayesian control charts for monitoring Weibull data
P Erto, G Pallotta, P Biagio, CM Mastrangelo
Quality Technology & Quantitative Management, 2017
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