On Some Properties of Information Theoretical Measures for the Study of Complex Systems. - Alessandro Filisetti; Marco Villani 001; Andrea Roli; Marco Fiorucci; Irene Poli; Roberto Serra (WIVACE, 2014)

Exploring the organisation of complex systems through the dynamical interactions among their relevant subsets. - Alessandro Filisetti; Marco Villani 001; Andrea Roli; Marco Fiorucci; Roberto Serra (ECAL, 2015)

The Search for Candidate Relevant Subsets of Variables in Complex Systems. - Marco Villani 001; Andrea Roli; Alessandro Filisetti; Marco Fiorucci; Irene Poli; Roberto Serra (Artif. Life, 2015)

On the Interplay Between Strong Regularity and Graph Densification. - Marco Fiorucci; Alessandro Torcinovich; Manuel Curado; Francisco Escolano; Marcello Pelillo (GbRPR, 2017)

A Computer Vision System for the Automatic Inventory of a Cooler. - Marco Fiorucci; Marco Fratton; Tinsae G. Dulecha; Marcello Pelillo; Alberto Pravato; Alessandro Roncato (ICIAP (1), 2017)

Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. - Marcello Pelillo; Ismail Elezi; Marco Fiorucci (Pattern Recognit. Lett., 2017)

Analysis of large sparse graphs using regular decomposition of graph distance matrices. - Hannu Reittu; Lasse Leskelä; Tomi Räty; Marco Fiorucci (IEEE BigData, 2018)

Regular partitions and their use in structural pattern recognition. - Marco Fiorucci (2018)

Regular Partitions and Their Use in Structural Pattern Recognition. - Marco Fiorucci (CoRR, 2019)

Ancient Document Layout Analysis: Autoencoders meet Sparse Coding. - Homa Davoudi; Marco Fiorucci; Arianna Traviglia (ICPR, 2020)

Separating Structure from Noise in Large Graphs Using the Regularity Lemma. - Marco Fiorucci; Francesco Pelosin; Marcello Pelillo (Pattern Recognit., 2020)

Machine Learning for Cultural Heritage: A Survey. - Marco Fiorucci; Marina Khoroshiltseva; Massimiliano Pontil; Arianna Traviglia; Alessio Del Bue; Stuart James (Pattern Recognit. Lett., 2020)

Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights. - Marco Fiorucci; Wouter B. Verschoof-van der Vaart; Paolo Soleni; Bertrand Le Saux; Arianna Traviglia (Remote. Sens., 2022)

Optimal Transport for Change Detection on Lidar Point Clouds. - Marco Fiorucci; Peter Naylor; Makoto Yamada (IGARSS, 2023)

Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on Lidar Data. - Gregory Sech; Paolo Soleni; Wouter B. Verschoof-van der Vaart; Ziga Kokalj; Arianna Traviglia; Marco Fiorucci (IGARSS, 2023)

Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data. - Paolo Soleni; Wouter B. Verschoof-van der Vaart; Ziga Kokalj; Arianna Traviglia; Marco Fiorucci (CoRR, 2023)

Impact of LiDAR Visualisations on Semantic Segmentation of Archaeological Objects. - Raveerat Jaturapitpornchai; Giulio Poggi; Gregory Sech; Ziga Kokalj; Marco Fiorucci; Arianna Traviglia (IGARSS, 2024)

Pansharpening of PRISMA Products for Archaeological Prospection. - Gregory Sech; Giulio Poggi; Marina Ljubenovic; Marco Fiorucci; Arianna Traviglia (IGARSS, 2024)

Implicit neural representation for change detection. - Peter Naylor; Diego Di Carlo; Arianna Traviglia; Makoto Yamada; Marco Fiorucci (WACV, 2024)