Mélodie Boillet

Orcid: 0000-0002-0618-7852

According to our database1, Mélodie Boillet authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Large-scale genealogical information extraction from handwritten Quebec parish records.
Int. J. Document Anal. Recognit., September, 2023

Confidence Estimation for Object Detection in Document Images.
Pattern Recognit. Lett., February, 2023

Détection d'objets dans les documents numérisés par réseaux de neurones profonds. (Object detection in digitized documents by neural networks).
PhD thesis, 2023

SIMARA: a database for key-value information extraction from full pages.
CoRR, 2023

Détection d'Objets dans les documents numérisés par réseaux de neurones profonds.
CoRR, 2023

Handwritten Text Recognition from Crowdsourced Annotations.
Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023

SIMARA: A Database for Key-Value Information Extraction from Full-Page Handwritten Documents.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Key-Value Information Extraction from Full Handwritten Pages.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Text Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES).
Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023

2022
Robust text line detection in historical documents: learning and evaluation methods.
Int. J. Document Anal. Recognit., 2022

2021
Drilling a Large Corpus of Document Images of Geological Information Extraction.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers.
Proceedings of the HIP@ICDAR 2021: The 6th International Workshop on Historical Document Imaging and Processing, 2021

2020
Books of Hours. the First Liturgical Data Set for Text Segmentation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
HORAE: an annotated dataset of books of hours.
Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019


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