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- Publications in international journals
- Y. Quan, J., Wang, H., Wang, Z., Gu, B., Wang, S., Zeng, W. Swaileh, Visually imperceptible adversarial patch attacks – Computers & Security journal (2022)
- A. Pitti, M. Quoy, C. Lavandier, S. Boucenna, W. Swaileh,C. Weidmann, Search of a Neural Model for Serial Order: a Brain Theory for Memory Development and Higher-Level Cognition – IEEE Transactions on Cognitive and Developmental Systems (2022)
- W. Swaileh, Y Soullard, T Paquet, A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units, Pattern Recognition Letters121, 68-76, https://doi.org/10.1016/j.patrec.2018.07.027.
- Doctoral thesis
- W. Swaileh, Language Modeling for Handwriting Recognition., 2017. PhD thesis. University of Rouen Normandy.
- Publications in proceedings of international conferences
- W. Swaileh, D. Kotzinos, S. Ghosh, M. Jordan, S. Vu, Y.Qian, Versailles-FP dataset: Wall Detection in Ancient Floor Plans, 16th International Conference on Document Analysis and Recognition (ICDAR 2021),
- W. Swaileh, T. Paquet, S. Adam, et al. A Named Entity Extraction System for Historical Financial Data. In: International Workshop on Document Analysis Systems (DAS 2020). Springer, Cham, 2020. p. 324-340.
- Y. Soullard, W. Swaileh, P. Tranouez, T. Paquet, C. Chatelain, text recognition using optical and language, 15th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017).
- W. Swaileh, T Paquet, Y. Soullard, P. Tranouez, Handwriting Recognition with Multigrams, 14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017), DOI: 10.1109 / ICDAR.2017.31
- W. Swaileh, J Lerouge, T Paquet, A unified French / English syllabic model for handwriting recognition, 15th International Conference on Frontiers in handwriting recognition (ICFHR 2016), DOI: 10.1109 / ICFHR.2016.0104.
- Publications in national journals
- W. Swaileh, T. Package, A Syllabic Model of French and English for Handwriting Recognition, Digital Document 19 (2), 117-134.
- Communication in national conferences
- W. Swaileh, K. Ait Mohand, T. Paquet, A syllabic model for the recognition of writing, proceedings of the CORIA-CIFED conference, Toulouse, pp. 23-37, 2016.
- Presentation at workshops
- Florent Imbert, Wassim Swaileh, Yann Soullard, Eric Anquetil, Toward Deep neural network for pen trajectory reconstruction from kinematic sensors, (SIFED 2022)
- J. Mansouri, F. Cavarretta, W. Swaileh, D. Kotzinos, Completely UnsupervisedOpinion Mining in professional groups’ discussions, OpLaDyn Satellite of Networks 2021
- W. Swaileh, T. Paquet, Handwriting Recognition with Multi-gram language models, TALADOC & SIFED 2017.
- W. Swaileh, K. Ait Mohand, T. Paquet, Multi-script iterative steerable directional filtering for handwritten text line extraction, 5th International Workshop on Multilingual OCR at ICDAR 2015.
- W. Swaileh, S. Nicolas, C. Petitjean, An Evidential Markov Random FieldsModel For Cardiac MR Image Segmentation, Scholar press (67 pages) ISBN: 9783639862287.
- Article in submission or archived
- Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard and Eric Anquetil, Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network – International Journal on Document Analysis and Recognition (IJDAR), under review.
- M. Jordan, D. Desbourdes-Morin, N. Priniotakis, W. Swaileh, B. Ringot, M. da Vinha, VERSPERA, du plan d’époque à la visite virtuelle – Une fructueuse collaboration interdisciplinaire – l’humanité numérique journal, under review
- Y.Qian, X. Zhang, W. Swaileh, W. Li, B. Wang, J. Chen, W. Zhou, J. Lei, Towards Robust DNNs: A Taylor Expansion-Based Method for Generating Adversarial Examples. arXiv, 2020, p. arXiv: 2001.08389.
- Y. Qian, X. Zhang, B. Wang, W. Li, Z. Gu, H. Wang, & W. Swaileh (2020). TEAM: We Need More Powerful Adversarial Examples for DNNs. arXiv preprint arXiv: 2007.15836.
- W. Swaileh, T. Paquet, A syllable based model for handwriting recognition, arXiv preprint arXiv: 1808.07277.
- Tutorials
- W. Swaileh, T. Package, Getting Started with Kaldi / WFST Toolkit, ResearchGateMethods DOI: 10.13140 / RG.2.2.23442.50880.