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Marco Corneli

Biographic Data

ID792954
NAMEMarco Corneli
GIVEN NAMESMarco
FAMILY NAMECorneli
SIGNATURECORNELI M
AFFILIATIONSUniversité Côte d'Azur
ORCID0000-0002-9361-0080
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants

    Open Access•Manon Vuillien, Davide Adamo et al.•ARTICLE•Journal of Computer Applications…•2025

    The faunal remains from numerous Holocene archaeological sites across southwest Asia frequently include the bones of various wild and domestic ungulates, such as sheep, goats, ibexes, roe deer and gazelles. These assemblages may provide insight into hunting and animal husbandry strategies and offer palaeoecological information on ancient human societies. However, the skeletons of these taxa are highly similar in appearance, which presents a chall…

  • Foreword “Advances in artificial intelligence and quantitative methods for archaeology and art history”

    Open Access•Marco Corneli, Isabelle Théry‐parisot et al.•ARTICLE•Journal of Cultural Heritage•2025

  • From text saliency to linguistic objects

    Laurent Vanni, Marco Corneli et al.•ARTICLE•Corpus•2023

    A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input features taken into account by the network to build a decision. However these techniques, let us cite LIME, SHAP, Grad-CAM, or TDS, require extra effort to interpret the visualization with respect to expert knowle…

  • Continuous latent position models for instantaneous interactions

    Open Access•Riccardo Rastelli, Marco Corneli•ARTICLE•Network Science•2023•Cited by: 1•References: 4

    We create a framework to analyze the timing and frequency of instantaneous interactions between pairs of entities. This type of interaction data is especially common nowadays and easily available. Examples of instantaneous interactions include email networks, phone call networks, and some common types of technological and transportation networks. Our framework relies on a novel extension of the latent position network model: we assume that the en…

  • Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL

    Open Access•Marco Corneli, Pierre Latouche et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 2•References: 19

  • Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL

    Open Access•Marco Corneli, Pierre Latouche et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 2•References: 19

  • Continuous latent position models for instantaneous interactions

    Open Access•Riccardo Rastelli, Marco Corneli•ARTICLE•Network Science•2023•Cited by: 1•References: 4

    We create a framework to analyze the timing and frequency of instantaneous interactions between pairs of entities. This type of interaction data is especially common nowadays and easily available. Examples of instantaneous interactions include email networks, phone call networks, and some common types of technological and transportation networks. Our framework relies on a novel extension of the latent position network model: we assume that the en…

  • Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL

    Open Access•Marco Corneli, Pierre Latouche et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 2•References: 19

  • From text saliency to linguistic objects

    Laurent Vanni, Marco Corneli et al.•ARTICLE•Corpus•2023

    A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input features taken into account by the network to build a decision. However these techniques, let us cite LIME, SHAP, Grad-CAM, or TDS, require extra effort to interpret the visualization with respect to expert knowle…

  • Continuous latent position models for instantaneous interactions

    Open Access•Riccardo Rastelli, Marco Corneli•ARTICLE•Network Science•2023•Cited by: 1•References: 4

    We create a framework to analyze the timing and frequency of instantaneous interactions between pairs of entities. This type of interaction data is especially common nowadays and easily available. Examples of instantaneous interactions include email networks, phone call networks, and some common types of technological and transportation networks. Our framework relies on a novel extension of the latent position network model: we assume that the en…

  • Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants

    Open Access•Manon Vuillien, Davide Adamo et al.•ARTICLE•Journal of Computer Applications…•2025

    The faunal remains from numerous Holocene archaeological sites across southwest Asia frequently include the bones of various wild and domestic ungulates, such as sheep, goats, ibexes, roe deer and gazelles. These assemblages may provide insight into hunting and animal husbandry strategies and offer palaeoecological information on ancient human societies. However, the skeletons of these taxa are highly similar in appearance, which presents a chall…

  • Foreword “Advances in artificial intelligence and quantitative methods for archaeology and art history”

    Open Access•Marco Corneli, Isabelle Théry‐parisot et al.•ARTICLE•Journal of Cultural Heritage•2025

Computer Science (4 works) · Artificial Intelligence (3 works) · Algorithm (2 works) · Archaeology (2 works) · Combinatorics (2 works) · Complex Network Analysis Techniques (2 works) · Mathematics (2 works) · 3D Surveying and Cultural Heritage (1 works) · Advanced Clustering Algorithms Research (1 works) · Archaeological Research and Protection (1 works)

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