@article {,
	title = {Heartbeat detection by Laser Doppler Vibrometry and Machine Learning},
	journal = {Sensors},
	year = {2020},
	doi = {http://dx.doi.org/10.3390/s20185362},
	author = {Luca Antognoli and Sara Moccia and Lucia Migliorelli and Sara Casaccia and Lorenzo Scalise and Emanuele Frontoni}
}
@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 {,
	title = {A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data},
	year = {2019},
	abstract = {<p>Descriptive and spatially-explicit information on fisheries plays a key role for an efficient integrated management of the maritime activities and the sustainable use of marine resources. However, this information is today still hard to obtain and, consequently, is a major issue for implementing Marine Spatial Planning (MSP). Since 2002, the Automatic Identification System (AIS) has been undergoing a major development allowing now for a real time geo-tracking and identification of equipped vessels of more than 15m in length overall (LOA) and, if properly processed, for the production of adequate information for MSP. Such monitoring systems or other low-cost and low-burden solutions are still missing for small vessels (LOA \&lt; 12m), whose catches and fishing effort remain spatially unassessed and, hence, unregulated. In this context, we propose an architecture to process vessel tracking data, understand the behaviour of trawling fleets and map related fishing activities. It could be used to process not only AIS data but also positioning data from other low cost systems as IoT sensors that share their position over LoRa and 2G/3G/4G links. Analysis gives back important and verified data (overall accuracy of 92\% for trawlers) and opens up development perspectives for monitoring small scale fisheries, helping hence to fill fishery data gaps and obtain a clearer picture of the fishing grounds as a whole.</p>
},
	doi = {10.1115/DETC2019-97779},
	url = {https://doi.org/10.1115/DETC2019-97779},
	author = {Alessandro Galdelli and Adriano Mancini and Anna Nora Tassetti and Carmen Ferra Vega and Enrico Armelloni and Giuseppe Scarcella and Gianna Fabi and Primo Zingaretti}
}
@article {,
	title = {Prospective motor control obeys to idiosyncratic strategies in autism},
	journal = {Scientific reports},
	volume = {8},
	year = {2018},
	pages = {1{\textendash}9},
	author = {Cavallo, Andrea and Romeo, Luca and Ansuini, Caterina and Podda, Jessica and Battaglia, Francesca and Veneselli, Edvige and Pontil, Massimiliano and Becchio, Cristina}
}
@article {Cesetti2011157,
	title = {A visual global positioning system for unmanned aerial vehicles used in photogrammetric applications},
	journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
	volume = {61},
	number = {1-4},
	year = {2011},
	note = {cited By 10},
	pages = {157-168},
	abstract = {The combination of photogrammetric aerial and terrestrial recording methods can provide new opportunities for photogrammetric applications. A UAV (Unmanned Aerial Vehicle), in our case a helicopter system, can cover both the aerial and quasi-terrestrial image acquisition methods. A UAV can be equipped with an on-board high resolution camera and a priori knowledge of the operating area where to perform photogrammetric tasks. In this general scenario our paper proposes vision-based techniques for localizing a UAV. Only natural landmarks provided by a feature tracking algorithm will be considered, without the help of visual beacons or landmarks with known positions. The novel idea is to perform global localization, position tracking and localization failure recovery (kidnapping) based only on visual matching between current view and available georeferenced satellite images. The matching is based on SIFT features and the system estimates the position of the UAV and its altitude on the base of the reference image. The vision system replaces the GPS signal combining position information from visual odometry and georeferenced imagery. Georeferenced satellite or aerial images must be available on-board beforehand or downloaded during the flight. The growing availability of high resolution satellite images (e.g., provided by Google Earth or other local information sources) makes this topic very interesting and timely. Experiments with both synthetic (i.e., taken from satellites or datasets and pre elaborated) and real world images have been performed to test the accuracy and the robustness of our method. Results show sufficient performance if compared with common GPS systems and give a good performance also in the altitude estimation, even if in this last case there are only preliminary results. {\textcopyright} 2010 Springer Science+Business Media B.V.},
	doi = {10.1007/s10846-010-9489-5},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79951511981\&partnerID=40\&md5=22fb7414e9a79d5c70082f7e0e8c0684},
	author = {Cesetti, A. and Emanuele Frontoni and Adriano Mancini and Ascani, A. and Primo Zingaretti and Sauro Longhi}
}
@conference {Zingaretti2010185,
	title = {Particle clustering to improve omnidirectional localization in outdoor environments},
	booktitle = {Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009},
	volume = {3},
	year = {2010},
	note = {cited By 1},
	pages = {185-192},
	abstract = {Monte Carlo Localization (MCL) is a common method for self-localization of a mobile robot under the assumption that a map of the environment is available. In addition to laser scan-ners and sonar sensors, localization approaches using vision sensors have also been recently developed with good results. In this paper we present two variations to improve the standard im-plementation of the MCL algorithm. The first change consists in a new strategy for the generation of particles, both at the initialization and at the resampling stage, which tries to generate new particles near the position of images in the learning dataset or in the neighborhood of particles with higher weights in the previous estimate, respectively. The second variation is related to a new approach to the estimate of the robot position, now based on two steps: clustering of particles and taking as estimate of robot position the center of the cluster, computed as a weighted sum of particle weights, with higher weight. The improved MCL algorithm described in this paper is compared with the standard MCL algorithm in terms of localization accuracy. In particular, tests were performed using local feature matching of omnidirectional images implemented on a real robot system operating in large outdoor environments with high dynamic content. Obtained results show that the localization accuracy of the improved MCL algorithm is more than twice that of the standard MCL algorithm. Copyright {\textcopyright} 2009 by ASME.},
	doi = {10.1115/DETC2009-87373},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77953702059\&partnerID=40\&md5=bf8d639ae45538fb4d049602073a0907},
	author = {Primo Zingaretti and Ascani, A. and Adriano Mancini and Emanuele Frontoni}
}
@conference {Frontoni2010428,
	title = {Robot localization in urban environments using omnidirectional vision sensors and partial heterogeneous apriori knowledge},
	booktitle = {Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010},
	year = {2010},
	note = {cited By 3},
	pages = {428-433},
	abstract = {This paper addresses the problem of long term mobile robot localization in large urban environments using a partial apriori knowledge made by different kind of images. Typically, GPS is the preferred sensor for outdoor operation. However, using GPS-only localization methods leads to significant performance degradation in urban areas where tall nearby structures obstruct the view of the satellites. In our work, we use omnidirectional vision-based sensors to complement GPS and odometry and provide accurate localization. We also present some novel Monte Carlo Localization optimizations and we introduce the concept of online knowledge acquisition and integration presenting a framework able to perform long term robot localization in real environments. The vision system identifies prominent features in the scene and matches them with a database of geo-referenced features already known (with a partial coverage of the environment and using both directional and omnidirectional images and with different resolutions) or learned and integrated during the localization process (omnidirectional images only). Results of successful robot localization in the old town of Fermo are presented. The whole architecture behaves well also in long term experiments, showing a suitable and good system for real life robot applications with a particular focus on the integration of different knowledge sources. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/MESA.2010.5551994},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957367131\&partnerID=40\&md5=619cedb309b8e6e9bf546721e565a793},
	author = {Emanuele Frontoni and Ascani, A. and Adriano Mancini and Primo Zingaretti}
}
@conference {Ascani2010415,
	title = {Wireless sensor network for exhausted oil collection management},
	booktitle = {Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010},
	year = {2010},
	note = {cited By 1},
	pages = {415-420},
	abstract = {Sensor networks have a large diffusion in several areas, using different kind of sensors, different line for data transmission and different ways for their collection and management. In this paper we present a particular typology of sensor network, created for optimally manage the collection of exhausted oil stored in particular bins located in a wide area (about 20.000 km2). A sensor is located on each bin measuring the distance from the lid of the collected oil; a transmission module communicate, once a day, the oil and the battery level to a web server via GPRS. In this way the control center (on a web server) has a complete overview of the situation in a wide zone, in way to optimize the run of collectors only in points that require an operation. {\textcopyright} 2010 IEEE.},
	doi = {10.1109/MESA.2010.5551992},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957355959\&partnerID=40\&md5=623731d74fba78b45e4b811bf63ec2b9},
	author = {Ascani, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@conference {Zingaretti2009185,
	title = {Particle clustering to improve omnidirectional localization in outdoor environments},
	booktitle = {Proceedings of the ASME Design Engineering Technical Conference},
	volume = {3},
	year = {2009},
	note = {cited By 0},
	pages = {185-192},
	abstract = {Monte Carlo Localization (MCL) is a common method for self-localization of a mobile robot under the assumption that a map of the environment is available. In addition to laser scanners and sonar sensors, localization approaches using vision sensors have also been recently developed with good results. In this paper we present two variations to improve the standard implementation of the MCL algorithm. The first change consists in a new strategy for the generation of particles, both at the initialization and at the resampling stage, which tries to generate new particles near the position of images in the learning dataset or in the neighborhood of particles with higher weights in the previous estimate, respectively. The second variation is related to a new approach to the estimate of the robot position, now based on two steps: clustering of particles and taking as estimate of robot position the center of the cluster, computed as a weighted sum of particle weights, with higher weight. The improved MCL algorithm described in this paper is compared with the standard MCL algorithm in terms of localization accuracy. In particular, tests were performed using local feature matching of omnidirectional images implemented on a real robot system operating in large outdoor environments with high dynamic content. Obtained results show that the localization accuracy of the improved MCL algorithm is more than twice that of the standard MCL algorithm. {\textcopyright} 2009 by ASME.},
	doi = {10.1115/DETC2009-87373},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-82155166811\&partnerID=40\&md5=46091a6bd1c837a8652000dffdfa0861},
	author = {Primo Zingaretti and Ascani, A. and Adriano Mancini and Emanuele Frontoni}
}
@conference {Mancini20092544,
	title = {RoboBuntu: A linux distribution for mobile robotics},
	booktitle = {Proceedings - IEEE International Conference on Robotics and Automation},
	year = {2009},
	note = {cited By 2},
	pages = {2544-2549},
	abstract = {During last years Linux started to climb the market of operating systems (OSs), and Ubuntu, derived by Debian OS, has become a good alternative to common OSs like Windows XP or Vista. The mobile robotics scientific community makes use of Linux based OSs to avoid the lack of stability that affects Microsoft OSs, especially when real time conditions must be satisfied. In this paper we present the Linux distribution RoboBuntu, acronym formed by the union of ROBOt and uBUNTU, to overcome the almost totally independent robotic software platforms existing today. The key idea behind RoboBuntu is the integration of different tools for mobile robotics into an embedded Ubuntu distribution. Another important characteristics of RoboBuntu is that every "hard step", like installation and configuration of OS and tools, is hidden to common users. In particular, RoboBuntu can be used either by students or researchers, as LiveCd, permanent installation on standard hard drive or, more interesting, on aUSB storage flash disk. {\textcopyright} 2009 IEEE.},
	doi = {10.1109/ROBOT.2009.5152548},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350399144\&partnerID=40\&md5=7ad3e306e93a56d841f7c4fdaf250a03},
	author = {Adriano Mancini and Emanuele Frontoni and Ascani, A. and Primo Zingaretti}
}
@conference {Ascani20083933,
	title = {Feature group matching for appearance-based localization},
	booktitle = {2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS},
	year = {2008},
	note = {cited By 24},
	pages = {3933-3938},
	abstract = {Local feature matching has become a commonly used method to compare images. For mobile robots, a reliable method for comparing images can constitute a key component for localization tasks. In this paper, we address the issues of appearance-based topological and metric localization by introducing a novel group matching approach to select less but more robust features to match the current robot view with reference images. Feature group matching is based on the consideration that feature descriptors together with spatial relations are more robust than classical approaches. Our datasets, each consisting of a large number of omnidirectional images, have been acquired over different day times (different lighting conditions) both in indoor and outdoor environments. The feature group matching outperforms the SIFT in indoor localization showing better performances both in the case of topological and metric localization. In outdoor SURF remains the best feature extraction method, as reported in literature. {\textcopyright}2008 IEEE.},
	doi = {10.1109/IROS.2008.4651023},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-69549135915\&partnerID=40\&md5=26b54613d0a4e016f6a3b8bec2face46},
	author = {Ascani, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@conference {Ascani2008576,
	title = {Robot localization using omnidirectional vision in large and dynamic outdoor environments},
	booktitle = {2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008},
	year = {2008},
	note = {cited By 3},
	pages = {576-581},
	abstract = {Local feature matching has become a commonly used method to compare images. For mobile robots, a reliable method for comparing images can constitute a key component for localization tasks. In this paper we present a mobile robot localization system based on local feature matching of omnidirectional images. In particular, we address the issues of appearance-based topological localization by comparing common feature-extractor methods (SIFT and SURF) to select robust features to match the current robot view with reference images. Our datasets, each consisting of a large number of omnidirectional images, have been acquired over different day times (different lighting conditions) and dynamic content in large outdoor environments (over 80.000 m2). Two different approaches (WTA and MCL) were used to evaluate performances, which, in general, are satisfactory. In particular, the use of Monte Carlo particle filtering improves topological localization results for all datasets with all algorithms. {\textcopyright} 2008 IEEE.},
	doi = {10.1109/MESA.2008.4735695},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-60749133774\&partnerID=40\&md5=71ab60c63c96799064ca0bbb23fb7656},
	author = {Ascani, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@article {Antonicelli1993125,
	title = {Camerano study on hypertension: The problem of blood pressure variability during medical visit},
	journal = {Clinical and Experimental Hypertension},
	volume = {15},
	number = {SUPPL. 1},
	year = {1993},
	note = {cited By 3},
	pages = {125-138},
	abstract = {The Camerano Study on Arterial Hypertension (AH) is a cross-sectional study, carried out on a wide population sample in a small town in Central Italy, and aimed at revealing the prevalence of certain characteristics of AH in the population examined. In particular, we studied some aspects of blood pressure (BP) levels during the medical visits. To evaluate the effects of the medical visit on BP levels, we divided the subjects into 3 groups: I) Hypertensive subjects, II) Treated hypertensive subjects, III) Normotensive subjects (control group). The Systolic Arterial Pressure (SAP) in normotensive subjects reached maximum levels during the first medical visit and then decreased in the following two controls (p<0.001). The Diastolic Arterial Pressure (DAP) did not show any significant changes during the three measurements (p=n.s.). Instead the maximum level of SAP in the hypertensive group did not appear at the First measurement but only after 5 minutes and was seen to decrease towards the end of the visit (p<0.001). Even DAP showed different levels compared to the normotensives: A decrease in BP levels was registered after 15 minutes respect to earlier measurements (p<0.01). The levels of group II were similar to those of normotensive subjects.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0027175329\&partnerID=40\&md5=f3e21a4965a8f2d45fca099ff52dfea1},
	author = {Antonicelli, R. and Gesuita, R. and Primo Zingaretti and Amadio, L. and Pagelli, P. and Cusi, D. and Paciaroni, E.}
}
@article {Antonicelli199217,
	title = {The camerano study on hypertension: The problem of arterial hypertension in the elderly},
	journal = {Archives of Gerontology and Geriatrics},
	volume = {15},
	number = {SUPPL. 1},
	year = {1992},
	note = {cited By 3},
	pages = {17-26},
	abstract = {The Camerano study on arterial hypertension (AH) was a cross-sectional study, carried out on a large population sample in a small twon in central Italy. The main goal was to reveal both the prevalence and certain characteristics of AH in the population examined. The main resuts, can be summarized as follows: (i) The occurrence of AH in the old (65-74 years) and very old (>=75 years) groups was 43.3 and 57.4\%, respectively. (ii) isolated systolic hypertension (ISH) was found in 1.7, 23.6 and 3.9\% in the adult, old and very old subjects, respectively. (iii) The association of AH with some of the more common cardiovascular risk factors (dyslipidemia, hyperglycemia, obesity, etc.) was significant for all the risk factors in the adult group, while in the old group there was a significant association only with the body mass index. (iv) Blood pressure (BP) values during the medical visits were evaluated, and adult versus old subjects were compared, but no significant differences were found. {\textcopyright} 1992 Elsevier Science Pablishers B.V. All rights reserved.},
	doi = {10.1016/S0167-4943(05)80003-2},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0026662064\&partnerID=40\&md5=32b7c6611b71b6ca2f62c62434cf5ae9},
	author = {Antonicelli, R. and Gesuita, R. and Primo Zingaretti and Amadio, L. and Pacelli, P. and Cusi, D. and Paciaroni, E.}
}
@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.}
}
@article {Antonicelli1989155,
	title = {Evaluation of efficacy and tolerability of the association Captopril 50 mg + hydrochlorothiazide 15 mg in the elderly [VALUTAZIONE DELL{\textquoteright}EFFICACIA E TOLLERABILITA DELL{\textquoteright}ASSOCIAZIONE A DOSE FISSA DI CAPTOPRIL (CPT) 50 MG E IDROCLOROTIAZIDE (HCTZ) 15 MG IN SO},
	journal = {European Review for Medical and Pharmacological Sciences},
	volume = {11},
	number = {2},
	year = {1989},
	note = {cited By 0},
	pages = {155-161},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0024956512\&partnerID=40\&md5=83288f643078d8c4d318448d3a1b48fc},
	author = {Antonicelli, R. and Raffaelli, S. and Bossini, A. and Paciaroni, E. and Primo Zingaretti and Botta, G.F.}
}
