Publications
~200 citations on Google Scholar.
📣 Conference Proceedings
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Structure Matters: Analyzing Videos Via Graph Neural Networks for Social Media Platform Attribution
Andrea Gemelli, Dasara Shullani, Daniele Baracchi, Simone Marinai, Alessandro Piva
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
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Deep-learning for dysgraphia detection in children handwritings
Andrea Gemelli, Simone Marinai, Emanuele Vivoli, Tamara Zappaterra
Document Engineering (DocEng), 2023
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CTE: A Dataset for Contextualized Table Extraction
Andrea Gemelli, Emanuele Vivoli, Simone Marinai
Italian Research Conference on Digital Libraries (IRCDL), 2023
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Doc2Graph: A Task Agnostic Document Understanding Framework Based on Graph Neural Networks
Andrea Gemelli, Sanket Biswas, Enrico Civitelli, Josep Lladós, Simone Marinai
European Conference on Computer Vision (ECCV) @ TiE Workshop, 2022
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Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
Andrea Gemelli, Emanuele Vivoli, Simone Marinai
International Conference on Pattern Recognition (ICPR), 2022
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Data Augmentation on Graphs for Table Type Classification
Davide Del Bimbo, Andrea Gemelli, Simone Marinai
S+SSPR, 2022
📜 Journal Papers
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BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations
Simone Giovannini, Fabio Coppini, Andrea Gemelli, Simone Marinai
International Journal on Document Analysis and Recognition (IJDAR), 2025
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Datasets and annotations for layout analysis of scientific articles
Andrea Gemelli, Simone Marinai, Lorenzo Pisaneschi, Francesco Santoni
International Journal on Document Analysis and Recognition (IJDAR), 2024
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Automatic generation of scientific papers for data augmentation in document layout analysis
Lorenzo Pisaneschi, Andrea Gemelli, Simone Marinai
Pattern Recognition Letters, 2023
📚 arXiv
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Towards Reliable and Interpretable Document Question Answering via VLMs
Alessio Chen, Simone Giovannini, Andrea Gemelli, Fabio Coppini, Simone Marinai
arXiv, 2025
📔 PhD Thesis
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Connecting the DOCS: a graph-based approach to document understanding
Andrea Gemelli, 2024