Marco Fiorucci

According to our database, Marco Fiorucci authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Implicit neural representation for change detection.

Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Optimal Transport for Change Detection on Lidar Point Clouds.

Marco Fiorucci, Peter Naylor, Makoto Yamada

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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

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

Separating Structure from Noise in Large Graphs Using the Regularity Lemma.

Marco Fiorucci, Francesco Pelosin, Marcello Pelillo

Pattern Recognit., 2020

Ancient Document Layout Analysis: Autoencoders meet Sparse Coding.

Homa Davoudi, Marco Fiorucci, Arianna Traviglia

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Regular Partitions and Their Use in Structural Pattern Recognition.

Marco Fiorucci

CoRR, 2019

2018

Regular partitions and their use in structural pattern recognition.

Marco Fiorucci

PhD thesis, 2018

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

Hannu Reittu, Lasse Leskelä, Tomi Räty, Marco Fiorucci

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

A Computer Vision System for the Automatic Inventory of a Cooler.

Marco Fiorucci, Marco Fratton, Tinsae G. Dulecha, Marcello Pelillo, Alberto Pravato, Alessandro Roncato

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

On the Interplay Between Strong Regularity and Graph Densification.

Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2015

The Search for Candidate Relevant Subsets of Variables in Complex Systems.

Marco Villani, Andrea Roli, Alessandro Filisetti, Marco Fiorucci, Irene Poli, Roberto Serra

Artif. Life, 2015

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

Alessandro Filisetti, Marco Villani, Andrea Roli, Marco Fiorucci, Roberto Serra

Proceedings of the Thirteenth European Conference Artificial Life, 2015

2014

On Some Properties of Information Theoretical Measures for the Study of Complex Systems.

Alessandro Filisetti, Marco Villani, Andrea Roli, Marco Fiorucci, Irene Poli, Roberto Serra

Proceedings of the Advances in Artificial Life and Evolutionary Computation, 2014