F. Chollet, Keras, 2015.

H. Daher and A. Belaid, Multipage administrative document stream segmentation, International Conference on Pattern Recognition (ICPR), pp.966-971, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01254785

D. Furcy and S. Koenig, Limited discrepancy beam search, International Joint Conference on Artificial Intelligence (IJCAI), pp.125-131, 2005.

I. Gallo, L. Noce, A. Zamberletti, and A. Calefati, Deep neural networks for page stream segmentation and classification, International Conference on Digital Image Computing : Techniques and Applications (DICTA), pp.1-7, 2016.

A. Gordo, M. Rusinol, D. Karatzas, and A. Bagdanov, Document classification and page stream segmentation for digital mailroom applications, International Conference on Document Analysis and Recognition (ICDAR), pp.621-625, 2013.

A. Hamdi, M. Coustaty, A. Joseph, V. P. D'andecy, A. Doucet et al., Feature selection for document flow segmentation, 13th IAPR Workshop on Document Analysis Systems (DAS), pp.245-250, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02364672

A. Hamdi, J. Voerman, M. Coustaty, A. Joseph, V. P. Andecy et al., Machine learning vs deterministic rule-based system for document stream segmentation, IAPR International Conference on Document Analysis and Recognition, vol.5, pp.77-82, 2017.

A. Harley, A. Ufkes, and K. Derpanis, Evaluation of deep convolutional nets for document image classification and retrieval, 13th International Conference on Document Analysis and Recognition (IC-DAR), pp.991-995, 2015.

R. Karpinski and A. Belaid, Combination of structural and factual descriptors for document stream segmentation, 12th IAPR Workshop on Document Analysis Systems (DAS), pp.221-226, 2016.

Y. Kim, Convolutional neural networks for sentence classification, Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1746-1751, 2014.

D. Lewis, G. Agam, S. Argamon, O. Frieder, D. Grossman et al., Building a test collection for complex document information processing, Proc, 2006.

. Acm-sigir-conf, , pp.665-666

T. Meilender and A. Belaid, Segmentation of continuous document flow by a modified backwardforward algorithm, Document Recognition and Retrieval, pp.1-10, 2009.

L. Noce, I. Gallo, A. Zamberletti, and A. Calefati, Embedded textual content for document image classification with convolutional neural networks, Proceedings of the 2016 ACM Symposium on Document Engineering (DocEng), pp.165-173, 2016.

R. Rehurek and P. Sojka, Software framework for topic modelling with large corpora, Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pp.45-50, 2010.

M. Schmidtler and J. Amtrup, Automatic document separation: A combination of probabilistic classification and finite-state sequence modeling, Natural Language Processing and Text Mining, pp.123-144, 2017.

G. Wiedemann and G. Heyer, Page stream segmentation with convolutional neural nets combining textual and visual features, CoRR, 2017.

A. Wiki, A.i. wiki, a beginner's guide to important topics in ai, machine learning, and deep learning: A beginner's guide to word2vec and neural word embeddings, 2017.

G. Zhu and D. Doermann, Automatic document logo detection, Ninth International Conference on Document Analysis and Recognition, vol.2, pp.864-868, 2007.