3. Marco Fiorucci

Marco Fiorucci

Post Doc
Postdoctoral Researcher in Machine Learning

Research Lines

Cultural Heritage Technologies

Center

ccht-cafoscari

Contacts

Venice
+39 041 2346757

About

Marco Fiorucci is a postdoctoral researcher in Machine Learning at the Center for Cultural Heritage Technology (CCHT@CaFoscari) of the Istituto Italiano di Tecnologia (IIT) since 2019, working on the development of next-generation Machine Learning approaches applied to the Cultural Heritage. He is working mainly in the fields of Machine Learning and Pattern Recognition, with particular emphasis on geometric deep learning methods and on graph generative models. Marco received his PhD in Computer Science from Ca’ Foscari University of Venice in 2019. His PhD thesis proposes a robust graph summarization method based on Szemerédi’s Regularity Lemma and discusses its relevance in the context of Structural Pattern Recognition. He held visiting research position at University of Alicante and at VTT (Finland). Previously, he graduated summa cum laude in Computer Science at Ca’ Foscari University of Venice in 2015. In addition to research, Marco is one of the co-founder and co-organizer of DataBeersVenezia and one of the communication managers of the CCHT.

Interests

Machine Learning Pattern Recognition Learning Theory Cultural Heritage

IIT Publications

  • 2020
  • Davoudi H.iit, Fiorucci M.iit, Traviglia A.iit

    Ancient Document Layout Analysis: Autoencoders meet Sparse Coding

    25th International Conference on Pattern Recognition
  • Fiorucci M.iit, Khoroshiltseva M.iit, Pontil M.iit, Traviglia A.iit, Del Bue A.iit, James S.iit
    DOI

    Machine Learning for Cultural Heritage: A Survey

    Pattern Recognition Letters, vol. 133, pp. 102-108
  • Fiorucci M.iit, Davoudi H., Traviglia A.iit

    Semi-supervised classification of ancient coins using graph neural networks

    Conference on Computer Applications and Quantitative Methods in Archaeology (CAA)
  • Fiorucci M.iit, Pelosin F., Pelillo M.
    DOI

    Separating Structure from Noise in Large Graphs Using the Regularity Lemma

    Pattern Recognition, vol. 98
  • 2019
  • Reittu H., Leskela L., Raty T., Fiorucci M.
    DOI

    Analysis of large sparse graphs using regular decomposition of graph distance matrices

    Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, pp. 3784-3792
  • Traviglia A.iit, Fiorucci M.iit

    Graph Convolutional Neural Networks for Cultural Heritage: Applications in RS recognition, numismatics and epigraphy

    Machine Learning in Archaeology, Rome
  • 2018
  • Pelosin F., Fiorucci M., and Pelillo M.

    Graph Summarization Using Regular Partitions

    The 8th International Conference on Network Analysis, Moscow
  • 2017
  • Fiorucci M., Fratton M., Dulecha T.G., Pelillo M., Pravato A., Roncato A.
    DOI

    A computer vision system for the automatic inventory of a cooler

    Lecture Notes in Computer Science, vol. 10484 LNCS, pp. 575-585
  • Fiorucci M., Torcinovich A., Curado M., Escolano F., Pelillo M.
    DOI

    On the interplay between strong regularity and graph densification

    Lecture Notes in Computer Science, vol. 10310 LNCS, pp. 165-174
  • Pelillo M., Elezi I., Fiorucci M.
    DOI

    Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition

    Pattern Recognition Letters, vol. 87, pp. 4-11
  • 2015
  • Filisetti A., Villani M., Roli A., Fiorucci M., Serra R.
    DOI

    Exploring the organisation of complex systems through the dynamical interactions among their relevant subsets

    European Conference of Artificial Life
  • Villani M., Roli A., Filisetti A., Fiorucci M., Poli I., Serra R.
    DOI

    The search for candidate relevant subsets of variables in complex systems

    Artificial Life, vol. 21, (no. 4), pp. 412-431
  • 2014
  • Villani M., Roli A., Filisetti A., Fiorucci M., Serra R.

    Dynamical Cluster Index: advances and new results.

    European Conference of Complex Systems
  • Filisetti A., Villani M., Roli A., Fiorucci M., Poli I., Serra R.
    DOI

    On some properties of information theoretical measures for the study of complex systems

    Communications in Computer and Information Science, vol. 445, pp. 140-150

Dissemination Talks

  • 2019
  • Fiorucci M.iit

    L'intelligenza artificiale a servizio dell'arte

Scientific Talks

  • 2019
  • Traviglia A.iit, Fiorucci M.iit

    Graph Convolutional Neural Networks for Cultural Heritage: Applications in RS recognition, numismatics and epigraphy

  • 2018
  • Pelosin F., Fiorucci M., and Pelillo M.

    Graph Summarization Using Regular Partitions