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Giorgio Gnecco

Biographic Data

ID4619569
NAMEGiorgio Gnecco
GIVEN NAMESGiorgio
FAMILY NAMEGnecco
SIGNATUREGNECCO G
AFFILIATIONSIMT School for Advanced Studies Lucca
ORCID0000-0002-5427-4328
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Predicting the technological complexity of global cities based on unsupervised and supervised machine learning methods

    Open Access•Federico Nutarelli, Samuel Edet et al.•ARTICLE•Journal of Economic Behavior &…•2025•References: 6

  • Measuring Cues of Leadership, Cohesion, and Fluidity in Joint Full‐Body Movement to Support Embodied Interaction Design

    Open Access•Giorgio Gnecco, Antonio Camurri et al.•ARTICLE•Human Behavior and Emerging…•2024

    Innovative applications of human movement analysis, for example, for mitigating/slowing down certain pathological conditions, have recently emerged from the modeling and automated measurement of full‐body expressive midlevel individual and group movement qualities, at a higher complexity level than movement qualities derived directly from physical signals, still not characterizing any gesture in a specific way. More in general, the availability o…

  • The emergence of social soft skill needs in the post Covid-19 era

    Open Access•Giorgio Gnecco, Sara Landi et al.•ARTICLE•Quality & Quantity•2024

    Social soft skills are crucial for workers to perform their tasks, yet it is hard to train people on them and to readapt their skill set when needed. In the present work, we analyze the possible effects of the COVID-19 pandemic on social soft skills in the context of Italian occupations related to 88 economic sectors and 14 age groups. We leverage detailed information coming from ICP (i.e. the Italian equivalent of O*Net), provided by the Italian…

No prominent works on this page.

  • Measuring Cues of Leadership, Cohesion, and Fluidity in Joint Full‐Body Movement to Support Embodied Interaction Design

    Open Access•Giorgio Gnecco, Antonio Camurri et al.•ARTICLE•Human Behavior and Emerging…•2024

    Innovative applications of human movement analysis, for example, for mitigating/slowing down certain pathological conditions, have recently emerged from the modeling and automated measurement of full‐body expressive midlevel individual and group movement qualities, at a higher complexity level than movement qualities derived directly from physical signals, still not characterizing any gesture in a specific way. More in general, the availability o…

  • The emergence of social soft skill needs in the post Covid-19 era

    Open Access•Giorgio Gnecco, Sara Landi et al.•ARTICLE•Quality & Quantity•2024

    Social soft skills are crucial for workers to perform their tasks, yet it is hard to train people on them and to readapt their skill set when needed. In the present work, we analyze the possible effects of the COVID-19 pandemic on social soft skills in the context of Italian occupations related to 88 economic sectors and 14 age groups. We leverage detailed information coming from ICP (i.e. the Italian equivalent of O*Net), provided by the Italian…

  • Predicting the technological complexity of global cities based on unsupervised and supervised machine learning methods

    Open Access•Federico Nutarelli, Samuel Edet et al.•ARTICLE•Journal of Economic Behavior &…•2025•References: 6

Computer Science (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Regional resilience and development (2 works) · Action Observation and Synchronization (1 works) · Aesthetics (1 works) · Art (1 works) · Cohesion (chemistry) (1 works) · Context (archaeology) (1 works) · Coronavirus disease 2019 (COVID-19) (1 works)

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