@conference {,
	title = {A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study},
	booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}},
	year = {2020},
	month = {7},
	publisher = {International Joint Conferences on Artificial Intelligence Organization},
	organization = {International Joint Conferences on Artificial Intelligence Organization},
	url = {https://doi.org/10.24963/ijcai.2020/593},
	author = {Romeo, Luca and Armentano, Giuseppe and Nicolucci, Antonio and Vespasiani, Marco and Vespasiani, Giacomo and Frontoni, Emanuele},
	editor = {Christian Bessiere}
}
@conference {cenci2015non,
	title = {Non-Contact Monitoring of Preterm Infants Using RGB-D Camera},
	booktitle = {ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
	year = {2015},
	pages = {V009T07A003{\textendash}V009T07A003},
	publisher = {American Society of Mechanical Engineers},
	organization = {American Society of Mechanical Engineers},
	author = {Annalisa Cenci and Daniele Liciotti and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@article {Mancini2013409,
	title = {A novel method for fast processing of large remote sensed image},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8157 LNCS},
	number = {PART 2},
	year = {2013},
	note = {cited By 1},
	pages = {409-418},
	abstract = {In this paper we present a novel approach to reduce the computational load of a CFAR detector. The proposed approach is based on the use of integral images to directly manage the presence of masked pixels or invalid data and reduce the computational time. The approach goes through the challenging problem of ship detection from remote sensed data. The capability of fast image processing allows to monitor the marine traffic and identify possible threats. The approach allows to significantly boost the performance up to 50x working with very high resolution image and large kernels. {\textcopyright} 2013 Springer-Verlag.},
	doi = {10.1007/978-3-642-41184-7_42},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84884709393\&partnerID=40\&md5=335f37537f59723ffcfa04255b21821b},
	author = {Adriano Mancini and Anna Nora Tassetti and Cinnirella, A. and Emanuele Frontoni and Primo Zingaretti}
}
@article {Montesanto200684,
	title = {Navigation with memory in a partially observable environment},
	journal = {Robotics and Autonomous Systems},
	volume = {54},
	number = {1},
	year = {2006},
	note = {cited By 3},
	pages = {84-94},
	abstract = {The paper presents an architecture that allows the reactive visual navigation via an unsupervised reinforcement learning. This objective is reached using Q-learning and a hierarchical approach to the developed architecture. Using these techniques requires a deviation from the Partially Observable Markov Decision Processes (POMDP) and some innovations: heuristic techniques for generalizing the experience and for treating the partial observability; a technique for the speed adjournment of the Q function; the definition of a special reinforcement policy adequate for learning a complex task without supervision. The result is a satisfactory learning of the navigation assignment in a simulated environment. {\textcopyright} 2005 Elsevier B.V. All rights reserved.},
	doi = {10.1016/j.robot.2005.09.015},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-29344460057\&partnerID=40\&md5=a3f0d1229db6d5c8658cd509ca5acf81},
	author = {A. Montesanto and Guido Tascini and Paolo Puliti and Paola Baldassarri}
}
@article {Gaggiotti1991203,
	title = {Nutritional parameters in subjects aged 60 years and over [PARAMETRI NUTRIZIONALI IN SOGGETTI CON ETA SUPERIORE A 60 ANNI]},
	journal = {Rivista Italiana di Nutrizione Parenterale ed Enterale},
	volume = {9},
	number = {3},
	year = {1991},
	note = {cited By 1},
	pages = {203-210},
	abstract = {Nutritional assessment of the elderly presents some difficulties because of the lack of reference values. Moreover chronic age-related diseases can interfere with the physiological nutritional values. Anthropometric (triceps skinfold, arm muscle area, total body muscle mass, fat mass and Body Mass Index = BMI), biochemical (prealbumin, transferrin, ceruloplasmin, total protein, albumin) and immunological (total lymphocytes) parameters were examined in 583 subjects of over 60 years, selected following specific criteria and with BMI < 30. The t-test evaluation of all anthropometric parameters (except BMI) showed a significant difference in both age (p < 0.05) and sex (p < 0.05) values; there were also significant differences in prealbumin and ceruloplasmin levels for both sex (p < 0.05) and age (p < 0.05) and for sex only (p < 0.05) respectively. Comparing our biochemical mean values using the t-test with those from our Analysis Laboratory, we found that the ceruloplasmin and prealbumin mean values for our sample were higher (p < 0.05) than from our Laboratory, while both protein and albumin levels were lower (p < 0.05).},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0026322716\&partnerID=40\&md5=4ab2812d4bc5a00f2ce4f7bf55d073de},
	author = {Gaggiotti, G. and Orlandoni, P. and Ambrosi, S. and Bartolacci, T. and Onorato, G. and Piloni, G. and Amadio, L. and Spazzafumo, L. and Primo Zingaretti and Fabris, N.}
}
