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ORCIDGiuseppe De Gregorio
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2020 – today
- 2024
[c10]Giuseppe De Gregorio
, Simon Perrin, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Harold Mouchère:
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval. ICDAR (Workshops 2) 2024: 71-86- [c9]Giuseppe De Gregorio, Lavinia Ferretti, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Maria Konstantinidou, John Pavlopoulos:
A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri. ICDAR (Workshops 2) 2024: 102-118 - [i4]Giuseppe De Gregorio, Lavinia Ferretti, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Maria Konstantinidou, John Pavlopoulos:
A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri. CoRR abs/2408.07779 (2024) - [i3]Giuseppe De Gregorio, Simon Perrin, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Harold Mouchère:
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval. CoRR abs/2408.07785 (2024) - 2023
- [j3]Giuseppe De Gregorio, Giuliana Capriolo, Angelo Marcelli:
End-to-End Transcript Alignment of 17th Century Manuscripts: The Case of Moccia Code. J. Imaging 9(1): 17 (2023) - [c8]Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio, Angelo Marcelli, Alicia Fornés, Josep Lladós:
I Can't Believe It's Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation. IGS 2023: 136-148 - [c7]Giuseppe De Gregorio, Angelo Marcelli:
The Neglected Role of GUI in Performance Evaluation of AI-Based Transcription Tools for Handwritten Documents. IGS 2023: 151-164 - [c6]Giuseppe De Gregorio, Angelo Marcelli:
Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Transcription. IGS 2023: 165-177 - [i2]Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio, Angelo Marcelli, Alicia Fornés, Josep Lladós:
I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation. CoRR abs/2312.05086 (2023) - 2022
- [j2]Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale:
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. Eng. Appl. Artif. Intell. 111: 104822 (2022) - [c5]Giuseppe De Gregorio, Angelo Marcelli:
Word Spotting in Handwritten Historical Documents by N-gram Retrieval. AI4CH@AI*IA 2022: 102-112 - [c4]Giuseppe De Gregorio, Antonio Della Cioppa, Angelo Marcelli:
Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation. EvoApplications 2022: 531-546 - [c3]Giuseppe De Gregorio, Ilaria Citro, Angelo Marcelli:
Transcript Alignment for Historical Handwritten Documents: The MiM Algorithm. IGS 2022: 45-60 - [c2]Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli:
A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts. ICFHR 2022: 3-17 - [i1]Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli:
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts. CoRR abs/2209.10441 (2022) - 2020
- [j1]Angelo Marcelli, Giuseppe De Gregorio, Adolfo Santoro:
A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents. J. Imaging 6(11): 117 (2020) - [c1]Giuseppe De Gregorio, Domenico Desiato, Angelo Marcelli, Giuseppe Polese:
A Multi Classifier Approach for Supporting Alzheimer's Diagnosis Based on Handwriting Analysis. ICPR Workshops (1) 2020: 559-574
Coauthor Index
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