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Akademický článek

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

Autor: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni

Publikováno v: IEEE Access, Vol 12, Pp 137893-137912 (2024)

The current trend in the literature on Time Series Classification is to develop increasingly accurate algorithms by combining multiple models in ensemble hybrids, representing time series in complex and expressive feature spaces, and extracting featu

Externí odkaz: https://doaj.org/article/7605f7553e6448a4afe63fb72c806d07

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Akademický článek

The Effects of Route Randomization on Urban Emissions

Autor: Giuliano Cornacchia, Mirco Nanni, Dino Pedreschi, Luca Pappalardo

Publikováno v: SUMO Conference Proceedings, Vol 4 (2023)

Routing algorithms typically suggest the fastest path or slight variation to reach a user's desired destination. Although this suggestion at the individual level is undoubtedly advantageous for the user, from a collective point of view, the aggregati

Externí odkaz: https://doaj.org/article/ffae60df64e64a96afb5c73c751f17b2

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Akademický článek

Ranking places in attributed temporal urban mobility networks.

Autor: Mirco Nanni, Leandro Tortosa, José F Vicent, Gevorg Yeghikyan

Publikováno v: PLoS ONE, Vol 15, Iss 10, p e0239319 (2020)

Drawing on the recent advances in complex network theory, urban mobility flow patterns, typically encoded as origin-destination (OD) matrices, can be represented as weighted directed graphs, with nodes denoting city locations and weighted edges the n

Externí odkaz: https://doaj.org/article/f8b378e5f17e436fb8d23df21bee8fcb

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An Explainable Host Genetic Severity Predictor Model for COVID-19 Patients

Autor: Anthony Onoja, Francesco Raimondi, Mirco Nanni

Understanding the COVID-19 severity and why it differs significantly among patients is a thing of concern to the scientific community. The major contribution of this study arises from the use of a voting ensemble host genetic severity predictor (HGSP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc1b60985ed8877b5da84d3b9e78147e
https://doi.org/10.1101/2023.03.06.23286869

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City indicators for geographical transfer learning: an application to crash prediction

Autor: Mirco Nanni, Riccardo Guidotti, Agnese Bonavita, Omid Isfahani Alamdari

Publikováno v: Geoinformatica (Dordrecht) (2022). doi:10.1007/s10707-022-00464-3
info:cnr-pdr/source/autori:Nanni M.; Guidotti R.; Bonavita A.; Alamdari O.I./titolo:City indicators for geographical transfer learning: an application to crash prediction/doi:10.1007%2Fs10707-022-00464-3/rivista:Geoinformatica (Dordrecht)/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume

The massive and increasing availability of mobility data enables the study and the prediction of human mobility behavior and activities at various levels. In this paper, we tackle the problem of predicting the crash risk of a car driver in the long t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3be3d2cdef0bd25bb6b981f51f86fbc6
https://publications.cnr.it/doc/468777

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How routing strategies impact urban emissions

Autor: Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi, Luca Pappalardo

Publikováno v: SIGSPATIAL '22-30th International Conference on Advances in Geographic Information Systems, Seattle, Washington, 1-4/11/2022

Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to pollution)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2824e932e4d1b1231284619ce155f1d1
https://openportal.isti.cnr.it/doc?id=people______::f9990dbb93ed4f168218a22182ce9ebb

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Explaining crash predictions on multivariate time series data

Autor: Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina

Publikováno v: DS 2022-25th International Conference on Discovery Science, pp. 556–566, Montpellier, France, 10-12/10/2022
Discovery Science ISBN: 9783031188398

In Assicurazioni Generali, an automatic decision-making model is used to check real-time multivariate time series and alert if a car crash happened. In such a way, a Generali operator can call the customer to provide first assistance. The high sensit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17aee4fdda1ffa2d698d91845a683a95
https://openportal.isti.cnr.it/doc?id=people______::a9d228ef15b73c245a3f25356887f48c

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Individual and collective stop-based adaptive trajectory segmentation

Autor: Agnese Bonavita, Riccardo Guidotti, Mirco Nanni

Publikováno v: Geoinformatica (Dordrecht) (2021). doi:10.1007/s10707-021-00449-8
info:cnr-pdr/source/autori:Bonavita A.; Guidotti R.; Nanni M./titolo:Individual and collective stop-based adaptive trajectory segmentation/doi:10.1007%2Fs10707-021-00449-8/rivista:Geoinformatica (Dordrecht)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume

Identifying the portions of trajectory data where movement ends and a significant stop starts is a basic, yet fundamental task that can affect the quality of any mobility analytics process. Most of the many existing solutions adopted by researchers a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d61949db13dfad3ddc4c8868c840a96
http://www.cnr.it/prodotto/i/460370

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Visual analytics for characterizing mobility aspects of urban context

Autor: Mirco Nanni, Ansar Yasar, Robert Weibel, Harris V. Georgiou, Nikos Pelekis, Christos Doulkeridis, Ibad Kureshi, Haosheng Huang, Natalia Andrienko, Siming Chen, Leonardo Longhi, Fabian Patterson, Athanasios Koumparos, Gennady Andrienko, Yannis Theodoridis

Publikováno v: Urban informatics
Urban Informatics ISBN: 9789811589829

Visual analytics science develops principles and methods for efficient human–computer collaboration in solving complex problems. Visual and interactive techniques are used to create conditions in which human analysts can effectively utilize their u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54493a518a1a3a451ff6277899e8b9df
https://biblio.ugent.be/publication/8725540

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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Publikováno v: Ethics and information technology 23 (2021). doi:10.1007/s10676-020-09572-w
Nanni, M, Andrienko, G, Barabási, A L, Boldrini, C, Bonchi, F, Cattuto, C, Chiaromonte, F, Comandé, G, Conti, M, Coté, M, Dignum, F, Dignum, V, Domingo-Ferrer, J, Ferragina, P, Giannotti, F, Guidotti, R, Helbing, D, Kaski, K, Kertesz, J, Lehmann, S, Lepri, B, Lukowicz, P, Matwin, S, Jiménez, D M, Monreale, A, Morik, K, Oliver, N, Passarella, A, Passerini, A, Pedreschi, D, Pentland, A, Pianesi, F, Pratesi, F, Rinzivillo, S, Ruggieri, S, Siebes, A, Torra, V, Trasarti, R, Hoven, J V D & Vespignani, A 2021, ' Give more data, awareness and control to individual citizens, and they will help COVID-19 containment ', Ethics and Information Technology, vol. 2021, pp. 61-66 . https://doi.org/10.1007/s10676-020-09572-w
Ethics and Information Technology, 23
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Trans. Data Priv., 13(1), 61
Scopus-Elsevier
Publons
info:cnr-pdr/source/autori:Nanni M.; Andrienko G.; Barabasi A.-L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comande G.; Conti M.; Cote M.; Dignum F.; Dignum V.; Domingo-Ferrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.M.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Hoven J.; Vespignani A./titolo:Give more data, awareness and control to individual citizens, and they will help COVID-19 containment/doi:10.1007%2Fs10676-020-09572-w/rivista:Ethics and information technology/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:23
King's College London
Transactions on Data Privacy, 13(1)
Transactions on data privacy 13 (2020): 61–66.
info:cnr-pdr/source/autori:Nanni M.; Andrienko G.; Barabasi A.-L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comandé G.; Conti M.; Coté M.; Dignum F.; Dignum V.; Domingo-Ferrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Van Den Hoven J.; Vespignani A./titolo:Give more data, awareness and control to individual citizens, and they will help COVID-19 containment/doi:/rivista:Transactions on data privacy/anno:2020/pagina_da:61/pagina_a:66/intervallo_pagine:61–66/volume:13
Ethics and Information Technology

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f12bebed468faf9926e9df75e22bb9
https://openportal.isti.cnr.it/doc?id=people______::db79ff188eeed92ebe8f850872010c62

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