Marco Corneli

Chair de professeur Junior, UniCA

Chair de professeur Junior en IA pour l'archéologie et l'histoire - responsable du GR IAMAHA, pôle principal: ENTES - rattachement ponctuel aux GRs MIAM, CREHE, FORETS. Pôle secondaire: DOMUS

In collaboration with the researchers of the CEPAM laboratory, my job consists of developing new AI models and algorithms to answer research questions related with the historical/archaeological data. Indeed, this data is very scarse, fragmented and sparse and this is why standard machine and deep learning tools are either not adapted or at least not working out of the box.

More information about my research activity and publications here: https://math.univ-cotedazur.fr/~mcorneli/

tél :
Marco.CORNELI@univ-cotedazur.fr
https://math.univ-cotedazur.fr/~mcorneli/

Extrait de la production scientifique (HAL)

Types de document

Autres types (masqués par défaut)

14 publication(s) affichée(s) sur 32

Articles dans une revue 8

  • Charles Bouveyron, Marco Corneli. Scaling Optimal Transport to High-Dimensional Gaussian Distributions with Application to Domain Adaptation. Statistics and Computing, 2026, 36 (88), ⟨10.1007/s11222-026-10851-7⟩. ⟨hal-04930868v5⟩

  • Seydina Ousmane Niang, Charles Bouveyron, Marco Corneli, Pierre Latouche, Rémi Boutin. The Deep Latent Position Block Model for the Clustering of Nodes in Multi-Graphs. Journal of Classification, In press. ⟨hal-04840577v3⟩

  • Molka Dhouib, Arnaud Barbe, Catherine Faron, Arnaud Zucker, Marco Corneli. Graphe de connaissance outillé au service des chercheurs en histoire de la zoologie antique et médiévale. Revue Ouverte d'Intelligence Artificielle, 2025, 6 (1-2), pp.85-106. ⟨10.5802/roia.94⟩. ⟨hal-05078267⟩

  • Marco Corneli, Isabelle Théry-Parisot, Vanna Lisa Coli, Luca Calatroni. Foreword to the special issue : “Advances in artificial intelligence and quantitative methods for archaeology and art history”. Journal of Cultural Heritage, 2025, Edited by Dr. Isabelle Théry-Parisot (Université Côte d’Azur, CNRS, CEPAM, UMR 7264, 06300 Nice), Dr. Vanna Lisa-Coli (Université Côte d’Azur, CNRS, CEPAM, UMR 7264, 06300 Nice), Dr. Luca Calatroni (CNRS Côte d'Azur Regional Delegation, SOPHIA ANTIPOLIS CEDEX, France), Dr. Marco Corneli (Université Côte d’Azur, CNRS, LJAD, UMR 7351, INRIA, Maasai, 06300 Nice), 75, pp.11. ⟨10.1016/j.culher.2025.07.008⟩. ⟨hal-05338901⟩

  • Manon Vuillien, Davide Adamo, Emmanuelle Vila, Amane Agraw, Thierry Argant, et al.. Topological data analysis and multiple kernel learning for species identification of modern and archaeological small ruminants. Journal of Computer Applications in Archaeology, 2025, 8 (1), ⟨10.5334/jcaa.181⟩. ⟨hal-04779367v2⟩

  • Marco Corneli, Elena Erosheva, Xunlei Qian, Marco Lorenzi. A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures. Computational Statistics, 2025, 40, pp.509-545. ⟨10.1007/s00180-024-01501-5⟩. ⟨hal-02310069v3⟩

  • Giulia Marchello, Alexandre Destere, Marco Corneli, Charles Bouveyron. Deep dynamic co-clustering of count data streams: application to pharmacovigilance. Journal of Data Science, Statistics, and Visualisation, 2024, 4 (4), ⟨10.52933/jdssv.v4i4.106⟩. ⟨hal-04395096⟩

  • Giulia Marchello, Marco Corneli, Charles Bouveyron. A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data Matrices. Journal of Computational and Graphical Statistics, 2024, 33 (4), pp.1224-1239. ⟨10.1080/10618600.2024.2319162⟩. ⟨hal-04150292v3⟩

Communications avec actes 6

  • Dieu-Donné Fangnon, Diane Lingrand, Marco Corneli, Isabelle Théry-Parisot, Antoine Pasqualini. Beyond Image-Level Evaluation: Specimen-Aware Multi-View Feature Fusion for Wood Charcoal Classification. PRESTIGE 2026 - Pattern Recognition and Computer Vision for e-Heritage and Digital Humanities Workshop (at ICPR 2026), Dario Allegra; Giovanna Castellano; Alessandra Scotto di Freca; Gennaro Vessio, Aug 2026, Lyon, France. ⟨hal-05660387⟩

  • Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila. An in depth look at the Procrustes-Wasserstein distance: properties and barycenters. Forty-Second International Conference on Machine Learning (ICML, 2025), Jul 2025, Vancouver (CA), Canada. pp.444-459. ⟨hal-04936261v3⟩

  • Seydina Ousmane Niang, Charles Bouveyron, Marco Corneli, Pierre Latouche. The Deep Zero-Inflated Latent Position Block Model for the Clustering of Nodes in Graphs. JDS2025 : 56es Journées de Statistique de la SFdS, Société Française de statistiques (SFds), Jun 2025, Marseille, France. ⟨hal-04947021v2⟩

  • Seydina Ousmane Niang, Charles Bouveyron, Marco Corneli, Pierre Latouche. Conditional denoising diffusion probabilistic models for the clustering of images. JDS 2024 - 55e Journées de statistiques de la SFdS, May 2024, Bordeaux, France. pp.1367-1374. ⟨hal-04909772⟩

  • Molka Tounsi Dhouib, Quentin Merilleau, Carla Guerrero, Marco Corneli, Catherine Faron, et al.. Automatic Semantic Classification of Ancient Zoological Texts. IAMAHA 2023 - 1st International Conference on Artificial Intelligence and Applied Mathematics for History and Archaeology, Nov 2023, Nice, France. ⟨hal-04210669⟩

  • Arnaud Barbe, Molka Tounsi Dhouib, Catherine Faron, Marco Corneli, Arnaud Zucker. Construction d'un graphe de connaissance à partir des annotations manuelles de textes de zoologie antique. IC 2023 - 34es Journées francophones d'Ingénierie des Connaissances @ Plate-Forme Intelligence Artificielle (PFIA 2023), Jul 2023, Starsbourg, France. ⟨hal-04156996⟩

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