@article {,
	title = {Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks},
	journal = {Annals of Biomedical Engineering},
	year = {2019},
	doi = {10.1007/s10439-019-02424-9},
	url = {https://link.springer.com/article/10.1007/s10439-019-02424-9},
	author = {Alessandro Casella and Sara Moccia and Emanuele Frontoni and Dario Palladini and Elena De Momi and Leonardo S. Mattos}
}
@article {sturari2017integrating,
	title = {Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping},
	journal = {European Journal of Remote Sensing},
	volume = {50},
	number = {1},
	year = {2017},
	pages = {1{\textendash}17},
	publisher = {Taylor \& Francis},
	author = {Mirco Sturari and Emanuele Frontoni and Roberto Pierdicca and Adriano Mancini and Eva Savina Malinverni and Anna Nora Tassetti and Primo Zingaretti}
}
@inbook {Liciotti2017,
	title = {An Intelligent RGB-D Video System for Bus Passenger Counting},
	booktitle = {Intelligent Autonomous Systems 14: Proceedings of the 14th International Conference IAS-14},
	year = {2017},
	pages = {473{\textendash}484},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-48036-7},
	doi = {10.1007/978-3-319-48036-7_34},
	url = {http://dx.doi.org/10.1007/978-3-319-48036-7_34},
	author = {Daniele Liciotti and Annalisa Cenci and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti},
	editor = {Chen, Weidong and Hosoda, Koh and Menegatti, Emanuele and Shimizu, Masahiro and Wang, Hesheng}
}
@conference {sturari2016integrated,
	title = {An integrated mobility system using real-time data for traffic simulation},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Mirco Sturari and Ludovico Catani and Adriano Mancini and Emanuele Frontoni}
}
@conference {Contigiani2014,
	title = {Indoor people localization and tracking using an energy harvesting smart floor},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {In the recent years, different kind of intelligent floors have been proposed but they are expensive and in many cases difficult to install and manage. In this paper, we previously describe the state of the art concerning smart floors designed to satisfy different applications and then we present an intelligent floor realized for localizing and tracking people in an indoor environment. The aim of this work is to propose an innovative smart floor based on an energy harvesting system able to allow the localization and analysis of the movement of the users in a specific space. The solution presented in this paper involves the use of capacitive sensors on a polymeric support to insert between solid wood and a wooden part of a floating parquet. The proposed system is part of HDOMO, an Ambient Assisted Living (AAL) project developing smart solutions for active aging. A detailed architecture of the smart floor is proposed together with a preliminary test phase.},
	doi = {10.1109/MESA.2014.6935623},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911959515\&partnerID=40\&md5=e0736aa6e37701f6950aee45457ef457},
	author = {Marco Contigiani and Emanuele Frontoni and Adriano Mancini and A. Gatto}
}
@article {Frontoni2014255,
	title = {Information management for intelligent retail environment: The shelf detector system},
	journal = {Information (Switzerland)},
	volume = {5},
	number = {2},
	year = {2014},
	note = {cited By 3},
	pages = {255-271},
	abstract = {Shelf-out-of-stock is one of the leading motivations of technology innovation in the shelf of the future. The Shelf Detector project described in this paper aims to solve the problem of data knowledge in the shelf-out-of-stock problem. This paper is mainly focused on the information layer of the system and main novelties illustrated in this work are in the information field demonstrating the huge number of insights that can be derived from the use of such a tool able to gather data in real time from the store. The tool presented is the first being installed for a long time in a high number of stores and products, demonstrating the ability to gather data and extract interesting insights. This paper aims to demonstrate the feasibility and the scalability of our system in providing a high number of data and interesting insights for store and marketing teams. The cloud based architecture developed and tested in this project is a key feature of our system together with the ability to collect data from a distributed sensor network. {\textcopyright} 2014 by the authors.},
	doi = {10.3390/info5020255},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84902662564\&partnerID=40\&md5=53f917be9988ce992278dc033771abf7},
	author = {Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Valerio Placidi}
}
@conference {Rossi2014,
	title = {Interoperability issues among smart home technological frameworks},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {Population aging may be seen both as a human success story, the triumph of public health, medical advancements and economic development over diseases and injures, and as one of the most challenging phenomena that society faces in this century. Assistive technology in all its possible implementations (from Telemedicine to Ambient Assisted Living, and Ambient Intelligence) represents an emerging answer to the needs of the new generation of older adults whose desire is to live longer with a higher quality of life. Objective of this paper is to present the results of a public financed action for the development and implementation of an {\textquoteright}integration platform{\textquoteright} for Ambient Assisted Living that includes features of home automation (energy management, safety, comfort, etc.) and introduces {\textquoteright}smart objects{\textquoteright}, to monitor activities of daily living and detect any abnormal behavior that may represent a danger, or highlight symptoms of some incipient disease.},
	doi = {10.1109/MESA.2014.6935626},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911958222\&partnerID=40\&md5=969da407b2d8bad8fa3e16dbc7d254a0},
	author = {Rossi, L. and Belli, A. and De Santis, A. and Diamantini, C. and Emanuele Frontoni and Gambi, E. and Palma, L. and Pernini, L. and Pierleoni, P. and Potena, D. and Raffaeli, L. and Spinsante, S. and Primo Zingaretti and Cacciagrano, D. and Corradini, F. and Culmone, R. and De Angelis, F. and Merelli, E. and Re, B.}
}
