Per Year

 @article{stscoordination-scp184,
	year = 2019,
	keywords = {survey; coordination; socio-technical systems; social protocols; commitments; behavioural implicit communication; MoK},
	volume = 184,
	editor = {Jacquet, Jean-Marie and Soldani, Jacopo},
	series = {Special Issue FOCLASA 2018},
	publisher = {Elsevier},
	journal = {Science of Computer Programming},
	author = {Mariani, Stefano},
	title = {Coordination in Socio-technical Systems: Where are we now? Where do we go next?}
} 

 @book{appscimas-book2019,
    booktitle = {Multi-Agent Systems},
    doi = {10.3390/books978-3-03897-925-8},
    editor = {Botti, Vicent and Omicini, Andrea and Mariani, Stefano and Julian, Vicente},
    eisbn = {978-3-03897-925-8},
    iris = {11585/786765},
    isbn = {978-3-03897-924-1},
    month = may,
    pages = {392},
    publisher = {MDPI},
    title = {Multi-Agent Systems},
    url = {https://www.mdpi.com/books/pdfview/book/1303},
    urlpdf = {https://www.mdpi.com/books/pdfdownload/book/1303},
    year = 2019
} 

 @article{,
	year = 2019,
	keywords = {connecare, patient empowerment, predictive modelling, recommendation, decision support system},
	status = {Published},
	venue_list = {--},
	number = 4,
	journal = {International Journal of Integrated Care},
	author = {Mariani, Stefano and Vargiu, Eloisa and Mamei, Marco and Zambonelli, Franco and Miralles, Felip},
	title = {Deliver intelligence to integrate care: the Connecare way},
	pages = 176,
	volume = 19,
	doi = {10.5334/ijic.s3176}} 

 @article{,
	year = 2019,
	keywords = {mobility patterns; CDR data; OD matrices},
	status = {Published},
	venue_list = {--},
	number = 20,
	url = {https://www.mdpi.com/1424-8220/19/20/4470},
	month = {October},
	urlpdf = {https://www.mdpi.com/1424-8220/19/20/4470/pdf},
	issn = {1424-8220},
	journal = {Sensors},
	author = {Mamei, Marco and Bicocchi, Nicola and Lippi, Marco and Mariani, Stefano and Zambonelli, Franco},
	title = {Evaluating Origin–Destination Matrices Obtained from CDR Data},
	abstract = {Understanding and correctly modeling urban mobility is a crucial issue for the development of smart cities. The estimation of individual trips from mobile phone positioning data (i.e., call detail records (CDR)) can naturally support urban and transport studies as well as marketing applications. Individual trips are often aggregated in an origin–destination (OD) matrix counting the number of trips from a given origin to a given destination. In the literature dealing with CDR data there are two main approaches to extract OD matrices from such data: (a) in time-based matrices, the analysis focuses on estimating mobility directly from a sequence of CDRs; (b) in routine-based matrices (OD by purpose) the analysis focuses on routine kind of movements, like home-work commute, derived from a trip generation model. In both cases, the OD matrix measured by CDR counts is scaled to match the actual number of people moving in the area, and projected to the road network to estimate actual flows on the streets. In this paper, we describe prototypical approaches to estimate OD matrices, describe an actual implementation, and present a number of experiments to evaluate the results from multiple perspectives.},
	articleNo = 4470,
	volume = 19,
	doi = {10.3390/s19204470}} 

 @inproceedings{speakingobjects-idcs2019,
	year = 2019,
	keywords = {Speaking Objects, Internet of Things, Argumentation-based Coordination},
	status = {Accepted},
	venue_list = {--},
	month = {October},
	author = {Mariani, Stefano and Bicego, Andrea and Lippi, Marco and Mamei, Marco and Zambonelli, Franco},
	title = {Argumentation-based Coordination in IoT: a Speaking Objects Proof-of-Concept},
	abstract = {Coordination of Cyberphysical Systems is an increasingly relevant concern for distributed systems engineering, mostly due to the rise of the Internet of Things vision in many application domains, ranging from smart homes to industry 4.0. Against this background, Speaking Objects has been proposed as a vision of future smart objects coordinating their collective perception and action through argumentation, that is, by debating exchanging assertions about the past, present, and future state of affairs. Along this line, in this paper we describe a Proof-of- Concept implementation of the Speaking Objects vision in a smart home deployment.},
	venue_e = {Events.Idcs2019}} 

 @INPROCEEDINGS{8787403, 
author={S. {Mariani} and F. {Zambonelli} and A. {Tenyi} and I. {Cano} and J. {Roca}}, 
booktitle={2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)}, 
title={Risk Prediction as a Service: a DSS Architecture Promoting Interoperability and Collaboration}, 
year={2019}, 
volume={}, 
number={}, 
pages={300-305}, 
keywords={Predictive models;Data models;Training;Interoperability;Medical services;Collaboration;Tools;risk prediction;PMML;PFA;machine learning;decision support system;CONNECARE}, 
doi={10.1109/CBMS.2019.00069}, 
ISSN={2372-9198}, 
month={June}} 

 @article{simas-applsci9,
    author = {Botti, Vicent and Omicini, Andrea and Mariani, Stefano and Julian, Vicente},
    editor = {Botti, Vicent and Omicini, Andrea and Mariani, Stefano and Julian, Vicente},
    journal = {Applied Sciences},
    number = 5,
    publisher = {MDPI},
    title = {Special Issue ``{M}ulti-{A}gent {S}ystems''},
    url = {https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems},
    volume = 9,
    year = 2019
} 

 @proceedings{,
	year = 2019,
	keywords = {Fluidware; IoT programming; coordination},
	status = {Published},
	venue_list = {--},
	series = {CEUR Workshop Proceedings},
	author = {Mariani, Stefano and Casadei, Roberto and Fornari, Fabrizio and Fortino, Giancarlo and Pianini, Danilo and Re, Barbara and Russo, Wilma and Savaglio, Claudio and Viroli, Mirko and Zambonelli, Franco},
	title = {Case studies for a new IoT programming paradigm: Fluidware},
	abstract = {A number of scientific and technological advancements enabled turning the Internet of Things vision into reality. However, there is still a bottleneck in designing and developing IoT applications and services: each device has to be programmed individually, and services are deployed to specific devices. The Fluidware approach advocates that to
truly scale and raise the level of abstraction a novel perspective is needed, focussing on device ensembles and dynamic allocation of resources. In this paper, we motivate the need for such a paradigm shift through three
case studies emphasising a mismatch between state of art solutions and desired properties to achieve},
	volume = 2502}