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Books and Theses
- 2018
[b1]Marco Fiorucci:
Regular partitions and their use in structural pattern recognition. Ca' Foscari University of Venice, Italy, 2018
Journal Articles
- 2022
- [j5]Marco Fiorucci
, Wouter B. Verschoof-van der Vaart, Paolo Soleni, Bertrand Le Saux, Arianna Traviglia:
Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights. Remote. Sens. 14(7): 1694 (2022) - 2020
- [j4]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. Pattern Recognit. 98 (2020) - [j3]Marco Fiorucci, Marina Khoroshiltseva, Massimiliano Pontil, Arianna Traviglia, Alessio Del Bue, Stuart James:
Machine Learning for Cultural Heritage: A Survey. Pattern Recognit. Lett. 133: 102-108 (2020) - 2017
- [j2]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. Pattern Recognit. Lett. 87: 4-11 (2017) - 2015
- [j1]Marco Villani, Andrea Roli, Alessandro Filisetti, Marco Fiorucci, Irene Poli, Roberto Serra:
The Search for Candidate Relevant Subsets of Variables in Complex Systems. Artif. Life 21(4): 412-431 (2015)
Conference and Workshop Papers
- 2024
- [c11]Gregory Sech, Giulio Poggi, Marina Ljubenovic, Marco Fiorucci, Arianna Traviglia:
Pansharpening of PRISMA Products for Archaeological Prospection. IGARSS 2024: 2234-2238 - [c10]Raveerat Jaturapitpornchai, Giulio Poggi, Gregory Sech, Ziga Kokalj, Marco Fiorucci, Arianna Traviglia:
Impact of LiDAR Visualisations on Semantic Segmentation of Archaeological Objects. IGARSS 2024: 3361-3365 - [c9]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci:
Implicit neural representation for change detection. WACV 2024: 924-934 - 2023
- [c8]Marco Fiorucci, Peter Naylor, Makoto Yamada:
Optimal Transport for Change Detection on Lidar Point Clouds. IGARSS 2023: 982-985 - [c7]Gregory Sech, Paolo Soleni, Wouter B. Verschoof-van der Vaart, Ziga Kokalj, Arianna Traviglia, Marco Fiorucci:
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on Lidar Data. IGARSS 2023: 6987-6990 - 2020
- [c6]Homa Davoudi, Marco Fiorucci, Arianna Traviglia:
Ancient Document Layout Analysis: Autoencoders meet Sparse Coding. ICPR 2020: 5936-5942 - 2018
- [c5]Hannu Reittu, Lasse Leskelä, Tomi Räty, Marco Fiorucci:
Analysis of large sparse graphs using regular decomposition of graph distance matrices. IEEE BigData 2018: 3784-3792 - 2017
- [c4]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay Between Strong Regularity and Graph Densification. GbRPR 2017: 165-174 - [c3]Marco Fiorucci, Marco Fratton, Tinsae G. Dulecha, Marcello Pelillo, Alberto Pravato, Alessandro Roncato:
A Computer Vision System for the Automatic Inventory of a Cooler. ICIAP (1) 2017: 575-585 - 2015
- [c2]Alessandro Filisetti, Marco Villani, Andrea Roli, Marco Fiorucci, Roberto Serra:
Exploring the organisation of complex systems through the dynamical interactions among their relevant subsets. ECAL 2015: 286-293 - 2014
- [c1]Alessandro Filisetti, Marco Villani, Andrea Roli, Marco Fiorucci, Irene Poli, Roberto Serra:
On Some Properties of Information Theoretical Measures for the Study of Complex Systems. WIVACE 2014: 140-150
Informal and Other Publications
- 2024
- [i11]Gregory Sech, Giulio Poggi, Marina Ljubenovic, Marco Fiorucci, Arianna Traviglia:
Pansharpening of PRISMA products for archaeological prospection. CoRR abs/2404.05447 (2024) - [i10]Raveerat Jaturapitpornchai, Giulio Poggi, Gregory Sech, Ziga Kokalj, Marco Fiorucci, Arianna Traviglia:
Impact of LiDAR visualisations on semantic segmentation of archaeological objects. CoRR abs/2404.05512 (2024) - 2023
- [i9]Marco Fiorucci, Peter Naylor, Makoto Yamada:
Optimal Transport for Change Detection on LiDAR Point Clouds. CoRR abs/2302.07025 (2023) - [i8]Paolo Soleni, Wouter B. Verschoof-van der Vaart, Ziga Kokalj, Arianna Traviglia, Marco Fiorucci:
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data. CoRR abs/2307.03512 (2023) - [i7]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci:
Implicit neural representation for change detection. CoRR abs/2307.15428 (2023) - 2019
- [i6]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. CoRR abs/1905.06917 (2019) - [i5]Marco Fiorucci:
Regular Partitions and Their Use in Structural Pattern Recognition. CoRR abs/1909.07420 (2019) - 2018
- [i4]Hannu Reittu, Lasse Leskelä, Tomi Räty, Marco Fiorucci:
Analysis of large sparse graphs using regular decomposition of graph distance matrices. CoRR abs/1811.10470 (2018) - 2017
- [i3]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay between Strong Regularity and Graph Densification. CoRR abs/1703.07107 (2017) - 2016
- [i2]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition. CoRR abs/1609.06583 (2016) - 2015
- [i1]Marco Villani, Andrea Roli, Alessandro Filisetti, Marco Fiorucci, Irene Poli, Roberto Serra:
The search for candidate relevant subsets of variables in complex systems. CoRR abs/1502.01734 (2015)
Coauthor Index
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