Doc2Graph: A Task Agnostic Document Understanding Framework Based on Graph Neural Networks. - Andrea Gemelli; Sanket Biswas; Enrico Civitelli; Josep Lladós 001; Simone Marinai (ECCV Workshops (4), 2022)

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents. - Andrea Gemelli; Emanuele Vivoli; Simone Marinai (ICPR, 2022)

Data Augmentation on Graphs for Table Type Classification. - Davide del Bimbo; Andrea Gemelli; Simone Marinai (S+SSPR, 2022)

Deep-learning for dysgraphia detection in children handwritings. - Andrea Gemelli; Simone Marinai; Emanuele Vivoli; Tamara Zappaterra (DocEng, 2023)

CTE: A Dataset for Contextualized Table Extraction. - Andrea Gemelli; Emanuele Vivoli; Simone Marinai (IRCDL, 2023)

Automatic generation of scientific papers for data augmentation in document layout analysis. - Lorenzo Pisaneschi; Andrea Gemelli; Simone Marinai (Pattern Recognit. Lett., 2023)

Structure Matters: Analyzing Videos Via Graph Neural Networks for Social Media Platform Attribution. - Andrea Gemelli; Dasara Shullani; Daniele Baracchi; Simone Marinai; Alessandro Piva (ICASSP, 2024)

Datasets and annotations for layout analysis of scientific articles. - Andrea Gemelli; Simone Marinai; Lorenzo Pisaneschi; Francesco Santoni (Int. J. Document Anal. Recognit., 2024)

BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations. - Simone Giovannini; Fabio Coppini; Andrea Gemelli; Simone Marinai (CoRR, 2025)