Daniele Fadda

ORCID: 0000-0002-0051-0604
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About
Contact & Profiles
Research Areas
  • Human Mobility and Location-Based Analysis
  • COVID-19 epidemiological studies
  • Data Visualization and Analytics
  • Explainable Artificial Intelligence (XAI)
  • Data-Driven Disease Surveillance
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Data Analysis with R
  • Complex Network Analysis Techniques
  • Online Learning and Analytics
  • Transportation Planning and Optimization
  • Data Management and Algorithms
  • Software System Performance and Reliability
  • COVID-19 Digital Contact Tracing
  • COVID-19 Pandemic Impacts
  • Artificial Intelligence in Healthcare and Education
  • Neural Networks and Applications
  • Imbalanced Data Classification Techniques
  • Traffic Prediction and Management Techniques
  • Semantic Web and Ontologies
  • Machine Learning in Healthcare
  • Byzantine Studies and History
  • Scientific Computing and Data Management
  • Urban Transport and Accessibility
  • Historical and Religious Studies of Rome

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
2017-2023

Confederazione Nazionale dell'Artigianato e Della Piccola e Media Impresa
2023

University of Pisa
2020

Institute of Scientific and Technical Information of China
2017

University of Cagliari
2013

eXplainable AI (XAI) involves two intertwined but separate challenges: the development of techniques to extract explanations from black-box models and way such are presented users, i.e., explanation user interface. Despite its importance, second aspect has received limited attention so far in literature. Effective interfaces fundamental for allowing human decision-makers take advantage oversee high-risk systems effectively. Following an iterative design approach, we present first cycle...

10.1145/3587271 article EN ACM Transactions on Interactive Intelligent Systems 2023-03-14

In 2020, countries affected by the COVID-19 pandemic implemented various non-pharmaceutical interventions to contrast spread of virus and its impact on their healthcare systems economies. Using Italian data at different geographic scales, we investigate relationship between human mobility, which subsumes many facets population's response changing situation, COVID-19. Leveraging mobile phone from February through September find a striking decrease in mobility flows net reproduction number. We...

10.48550/arxiv.2006.03141 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by fight diffusion epidemics. In this report, we use mobile phone data infer movements people between Italian provinces municipalities, analyze incoming, outcoming internal flows before during national lockdown (March 9th, 2020) after closure non-necessary productive activities 23th, 2020). The population flow across municipalities enable for...

10.48550/arxiv.2004.11278 preprint EN cc-by-nc-sa arXiv (Cornell University) 2020-01-01

Artificial Intelligence algorithms have now become pervasive in multiple high-stakes domains. However, their internal logic can be obscure to humans. Explainable aims design tools and techniques illustrate the predictions of so-called black-box algorithms. The Human-Computer Interaction community has long stressed need for a more user-centered approach AI. This benefit from research user interface, experience, visual analytics. paper proposes visual-based method rules paired with feature...

10.48550/arxiv.2404.16903 preprint EN arXiv (Cornell University) 2024-04-25

Abstract. The new data sources give the possibility to answer analytically questions that arise from mobility manager. process of transforming raw into knowledge is very complex, and it necessary provide metaphors visualizations are understandable decision makers. Here, we propose an analytical platform extracts information on individuals mobile phone by applying Data Mining methodologies. main results highlighted here both technical methodological. First, communicating through visual...

10.5194/isprs-annals-iv-4-w7-51-2018 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2018-09-20

The Human-Computer Interaction (HCI) community has long stressed the need for a more user-centered approach to Explainable Artificial Intelligence (XAI), research area that aims at defining algorithms and tools illustrate predictions of so-called black-box models. This can benefit from fields user-interface, user experience, visual analytics. In this demo, we propose visual-based tool, "F.I.P.E.R.", shows interactive explanations combining rules feature importance.

10.1145/3605390.3610811 article EN 2023-09-14

Nel centro storico del paese di Borutta (SS), sorge l’Oratorio intitolato alla Santa Croce. Nell’edificio, risalente all’undicesimo secolo secondo i dati degli studi archeologici, sono presenti un’abside fattezze romaniche e pregiati innesti architettonici influenza gotico-catalana. Un certo interesse riveste la croce consacrazione absidale, nonche gli arredi lignei, nelle forme un altare, ambone bel simulacro Cristo morto.Le fonti, che testimoniano l’antico utilizzo della struttura in...

10.13125/j.arart/1271 article IT ArcheoArte 2013-01-01
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