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Harold MOUCHERE

ENSEIGNANT-CHERCHEUR

HDR

: Harold.Mouchereatls2n.fr

Page pro : https://mouchere-h.univ-nantes.io/home-page

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Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [1] T. Truong, C. Nguyen, R. Zanibbi, H. Mouchère, M. Nakagawa. A Survey on Handwritten Mathematical Expression Recognition: The Rise of Encoder-Decoder and GNN Models. In Pattern Recognition ; éd. Elsevier, 2024.
      https://hal.science/hal-04560379v1
    • [2] R. Rouveyre, T. Subileau-Langlois, T. Gomez, H. Mouchère, A. Bourreille, C. Le Berre. P445 Wireless capsule endoscopy reading support for Crohn’s disease patients using deep neural networks with an active learning method. In Journal of Crohn's and Colitis ; éd. Elsevier - Oxford University Press, 2024, vol. 18, num. Supplement_1.
      https://hal.science/hal-04540640v1
    • [3] R. Vallée, T. Gomez, A. Bourreille, N. Normand, H. Mouchère, A. Coutrot. Influence of training and expertise on deep neural network attention and human attention during a medical image classification task. In Journal of Vision ; éd. Association for Research in Vision and Ophthalmology, 2024, vol. 24, num. 4.
      https://hal.science/hal-04540057v1
    • [4] T. Gomez, H. Mouchère. Computing and evaluating saliency maps for image classification: a tutorial. In Journal of Electronic Imaging ; éd. SPIE and IS&T, 2023, vol. 32, num. 02.
      https://hal.science/hal-04082936v1
    • [5] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Model-based inexact graph matching on top of DNNs for semantic scene understanding. In Computer Vision and Image Understanding ; éd. Elsevier, 2023, vol. 235.
      https://hal.science/hal-04264704v1
    • [6] C. Nich, J. Behr, V. Crenn, N. Normand, H. Mouchère, G. D’assignies. Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future. In International Orthopaedics ; éd. Springer Verlag, 2022.
      https://hal.science/hal-03579115v1
    • [7] T. Gomez, M. Feyeux, J. Boulant, N. Normand, L. David, P. Paul-Gilloteaux, T. Fréour, H. Mouchère. A time-lapse embryo dataset for morphokinetic parameter prediction. In Data in Brief ; éd. Elsevier, 2022.
      https://hal.science/hal-03667158v1
    • [8] T. Gomez, T. Fréour, H. Mouchère. Beyond deep learning: automatic morpho-kinetic parameter extraction using spatial attention. In Human Reproduction ; éd. Oxford University Press (OUP), 2022, vol. 37, num. Supplement_1.
      https://hal.science/hal-03918968v1
    • [9] T. Gomez, S. Ling, T. Fréour, H. Mouchère. BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention. In Pattern Recognition ; éd. Elsevier, 2022, vol. 132.
      https://hal.science/hal-03773655v1
    • [10] A. de Maissin, R. Vallée, M. Flamant, M. Fondain-Bossiere, C. Berre, A. Coutrot, N. Normand, H. Mouchère, S. Coudol, C. Trang, A. Bourreille. Multi-expert annotation of Crohn’s disease images of the small bowel for automatic detection using a convolutional recurrent attention neural network. In Endoscopy International Open ; éd. Georg Thieme Verlag KG, 2021, vol. 09, num. 07.
      https://hal.science/hal-03268826v1
    • [11] F. Julca-Aguilar, H. Mouchère, C. Viard-Gaudin, N. Hirata. A general framework for the recognition of online handwritten graphics. In International Journal on Document Analysis and Recognition ; éd. Springer Verlag, 2020.
      https://hal.science/hal-02474242v1
    • [12] T. Zhang, H. Mouchère, C. Viard-Gaudin. A tree-BLSTM-based recognition system for online handwritten mathematical expressions. In Neural Computing and Applications ; éd. Springer Verlag, 2018.
      https://hal.science/hal-01900412v1
    • [13] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Combining Speech and Handwriting Modalities for Mathematical Expression Recognition. In IEEE Transactions on Human-Machine Systems ; éd. IEEE, 2017, vol. 47, num. 2.
      https://univ-lemans.hal.science/hal-01667672v1
    • [14] C. Wang, H. Mouchère, A. Lemaitre, C. Viard-Gaudin. Online flowchart understanding by combining max-margin Markov random field with grammatical analysis. In International Journal on Document Analysis and Recognition ; éd. Springer Verlag, 2017, vol. 20, num. 2.
      https://inria.hal.science/hal-01503366v1
    • [15] H. Mouchère, R. Zanibbi, U. Garain, C. Viard-Gaudin. Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014. In International Journal on Document Analysis and Recognition ; éd. Springer Verlag, 2016, vol. 19, num. 2.
      https://hal.science/hal-01319786v1
    • [16] A. Awal, H. Mouchère, C. Viard-Gaudin. A global learning approach for an online handwritten mathematical expression recognition system. In Pattern Recognition Letters ; éd. Elsevier, 2014, vol. 35, num. 1.
      https://hal.science/hal-00756637v1
    • [17] J. Li, H. Mouchère, C. Viard-Gaudin. An annotation assistance system using an unsupervised codebook composed of handwritten graphical multi-stroke symbols. In Pattern Recognition Letters ; éd. Elsevier, 2014, vol. 35, num. 1.
      https://hal.science/hal-00766693v1
    • [18] H. Mouchère, J. Li, C. Viard-Gaudin, Z. Chen. A dynamic Time Warping Algorithm for Recognition of Multi-Stroke On-Line Handwriten Characters. In Natural Science Edition, Journal of South China University of Technology, vol. 41, num. 7. 05-06-2013
      https://hal.science/hal-00933679v1
    • [19] H. Mouchère, E. Anquetil, N. Ragot. Writer Style Adaptation in On-line Handwriting Recognizers by a Fuzzy Mechanism Approach : The ADAPT Method. In International Journal of Pattern Recognition and Artificial Intelligence ; éd. World Scientific Publishing, 2007, vol. 21, num. 1.
      https://hal.science/hal-00463225v1

Revues nationales avec comité de lecture (ART_NAT)

    • [20] T. Zhang, H. Mouchère, C. Viard-Gaudin. Using BLSTM for interpretation of 2-D languages. In Document numérique - Revue des sciences et technologies de l'information. Série Document numérique ; éd. Hermès, 2016, vol. 19, num. 2.
      https://hal.science/hal-01576302v1
    • [21] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Approches multimodales pour la reconnaissance d'expressions mathématiques. Collaboration des modalités audio et écriture manuscrite en-ligne.. In Document numérique - Revue des sciences et technologies de l'information. Série Document numérique ; éd. Hermès, 2015, vol. 17, num. 3.
      https://hal.science/hal-01433196v1
    • [22] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Approches multimodales pour la reconnaissance d’expressions mathématiques. In Document numérique - Revue des sciences et technologies de l'information. Série Document numérique ; éd. Hermès, 2014, vol. 17, num. 3.
      https://hal.science/hal-01150818v1
    • [23] A. Almousa Almaksour, H. Mouchère, E. Anquetil. Apprentissage incrémental avec peu de données pour la reconnaissance de caractères manuscrits en-ligne. In Traitement du Signal ; éd. Lavoisier, 2009.
      https://hal.science/hal-00491329v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [24] Y. Xie, H. Mouchère. Stroke-Level Graph Labeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition. In International Conference on Document Analysis and Recognition, septembre 2024, Athenes, Grece, Grèce.
      https://hal.science/hal-04694726v1
    • [25] G. de Gregorio, S. Perrin, R. Pena, I. Marthot-Santaniello, H. Mouchère. NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval. In Workshop on Computational Paleography (WCP), août 2024, Athenes, Grece, Grèce.In Mouchère H. (éds.), . Springer Nature Switzerland, 2024.
      https://hal.science/hal-04694697v1
    • [26] E. Mohamed Moussa, T. Lelore, H. Mouchère. Point to segment distance DTW for online handwriting signals matching. In ICPRAM 2023, février 2023, Lisbonne, Portugal.
      https://hal.science/hal-03914726v1
    • [27] Y. Xie, H. Mouchère, F. Simistira Liwicki, S. Rakesh, R. Saini, M. Nakagawa, C. Nguyen, T. Truong. ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. In 17th International Conference Document Analysis and Recognition - ICDAR 2023, août 2023, San josé, CA,, états-Unis.
      https://hal.science/hal-04264727v1
    • [28] E. Mohamed Moussa, T. Lelore, H. Mouchère. SET, SORT! A Novel Sub-Stroke Level Transformers for Offline Handwriting to Online Conversion. In The 17th International Conference on Document Analysis and Recognition (ICDAR 2023), août 2023, San José, CA, états-Unis.
      https://hal.science/hal-04182547v1
    • [29] L. Cudilla, S. Perrin, Y. Xie, H. Mouchère, I. Marthot-Santaniello. Homer restored: Virtual reconstruction of Papyrus Bodmer 1. In HIP '23: 7th International Workshop on Historical Document Imaging and Processing, août 2023, San Jose, France.
      https://hal.science/hal-04264768v1
    • [30] S. Tarride, T. Faine, M. Boillet, H. Mouchère, C. Kermorvant. Handwritten Text Recognition from Crowdsourced Annotations. In HIP '23: 7th International Workshop on Historical Document Imaging and Processing, août 2023, San Jose CA USA, France.
      https://hal.science/hal-04264668v1
    • [31] Y. El Ghazi, K. Subrin, S. Levilly, H. Mouchère, O. Cardin. Task allocation and motion planning strategies for multi-robot cooperation.. In 13th International Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA2023), septembre 2023, Annecy, France.
      https://hal.science/hal-04307983v1
    • [32] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Improving semantic segmentation with graph-based structural knowledge. In ICPRAI 2022 - Third International Conference on Pattern Recognition and Artificial Intelligence, juin 2022, Paris, France.
      https://hal.science/hal-03633029v1
    • [33] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis. In International Conference on Pattern Recognition and Artificial Intelligence, juin 2022, Paris, France.
      https://hal.science/hal-03633036v1
    • [34] T. Gomez, T. Fréour, H. Mouchère. Metrics for saliency map evaluation of deep learning explanation methods. In International Conference on Pattern Recognition and Artificial Intelligence, juin 2022, Paris, France.
      https://hal.science/hal-03633006v1
    • [35] B. Rolf, N. Mebarki, S. Lang, T. Reggelin, O. Cardin, A. Dolgui, H. Mouchère. Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03982239v1
    • [36] T. Gomez, T. Fréour, H. Mouchère. Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study. In XAI Workshop (ICPR 2022), août 2022, Montréal, Canada.
      https://hal.science/hal-03690574v1
    • [37] W. Wang, T. Zhang, X. Jin, H. Mouchère, X. Yu. Improving Oracle Bone Characters Recognition via A CycleGAN-based Data Augmentation Method. In International Conference on Neural Information Processing (ICONIP), novembre 2022, New Delhi, Inde.
      https://hal.science/hal-03919404v1
    • [38] J. Xing, H. Mouchère. Contrastive Self-Supervised Learning on Crohn's Disease Detection. In The 6th International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2022), décembre 2022, Las Vegas, états-Unis.
      https://hal.science/hal-03918931v1
    • [39] R. Vallée, A. Coutrot, N. Normand, H. Mouchère. Influence of expertise on human and machine visual attention in a medical image classification task. In European Conference on Visual Perception, août 2021, online, France.
      https://hal.science/hal-03379161v1
    • [40] E. Mohamed Moussa, T. Lelore, H. Mouchère. Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images. In ICDAR 2021 : 16th International Conference on Document Analysis and Recognition, septembre 2021, Lausanne, Suisse.
      https://hal.science/hal-03236506v1
    • [41] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Anchors vs Attention: Comparing XAI on a Real-Life Use Case. In ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges, janvier 2021, Virtual, France.In Springer International Publishing (éds.), Pattern Recognition. ICPR International Workshops and Challenges. , 2021.
      https://hal.science/hal-03210595v1
    • [42] R. Vallée, A. de Maissin, A. Coutrot, H. Mouchère, A. Bourreille, N. Normand. CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms. In SPIE Medical Imaging, février 2020, Houston, France.
      https://hal.science/hal-02518263v1
    • [43] J. Chopin, J. Fasquel, H. Mouchère, R. Dayot, I. Bloch. Semantic image segmentation based on spatial relationships and inexact graph matching. In International Conference on Image Processing Theory, Tools and Applications (IPTA), novembre 2020, Paris, France.
      https://hal.science/hal-02916165v1
    • [44] J. Langlois, H. Mouchère, N. Normand, C. Viard-Gaudin. On The Fly Generated Data for Industrial Part Orientation Estimation with Deep Neural Networks. In Fifteenth International Conference on Quality Control by Artificial Vision, mai 2019, Mulhouse, France.
      https://hal.science/hal-02342703v1
    • [45] R. Vallée, A. de Maissin, H. Mouchère, A. Boureille, A. Coutrot, N. Normand. Réseau de neurones récurrent à attention pour la détection de lésions intestinales. In ORASIS, mai 2019, Saint-Dié-des-Vosges, France.
      https://hal.science/hal-02283753v1
    • [46] M. Mahdavi, R. Zanibbi, H. Mouchère, C. Viard-Gaudin, U. Garain. ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection. In 15th IAPR International Conference on Document Analysis and Recognition (ICDAR 2019), septembre 2019, Sydney, Australie.
      https://hal.science/hal-02296268v1
    • [47] R. Vallée, A. Coutrot, N. Normand, H. Mouchère. Accurate small bowel lesions detection in wireless capsule endoscopy images using deep recurrent attention neural network. In IEEE 21st International Workshop on Multimedia Signal Processing (MMSP 2019), septembre 2019, Kuala Lumpur, Malaisie.
      https://hal.science/hal-02296282v1
    • [48] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Transfer Learning for Handwriting Recognition on Historical Documents. In 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM), janvier 2018, Madeira, Portugal.
      https://hal.science/hal-01681126v1
    • [49] G. Roman-Jimenez, C. Viard-Gaudin, A. Granet, H. Mouchère. Transfer Learning for Structures Spotting in Unlabeled Handwritten Documents using Randomly Generated Documents. In International Conference on Pattern Recognition Applications and Methods, janvier 2018, Madeira, Portugal.
      https://hal.science/hal-01681114v1
    • [50] J. Langlois, H. Mouchère, N. Normand, C. Viard-Gaudin. 3D Orientation Estimation of Industrial Parts from 2D Images using Neural Networks. In International Conference on Pattern Recognition Applications and Methods, janvier 2018, Madeira, Portugal.
      https://hal.science/hal-01681124v1
    • [51] A. de Maissin, T. Gomez, C. Le Berre, N. Normand, H. Mouchère, C. Trang, A. Bourreille. Computer aided detection of Crohn’s disease small bowel lesions in wireless capsule endoscopy. In 13th European Crohn's and Colitis Organisation - ECCO, février 2018, Vienna, Autriche.
      https://hal.science/hal-02024643v1
    • [52] A. Granet, B. Hervy, G. Roman Jimenez, M. Hachicha, E. Morin, H. Mouchère, S. Quiniou, G. Raschia, F. Rubellin, C. Viard-Gaudin. Crowdsourcing-based Annotation of the Accounting Registers of the Italian Comedy. In 11th International Conference on Language Resources and Evaluation (LREC), mai 2018, Miyazaki, Japon.
      https://hal.science/hal-01819079v1
    • [53] A. Granet, E. Morin, S. Quiniou, C. Viard-Gaudin, H. Mouchère. Separating Optical and Language Models through Encoder-Decoder Strategy for Transferable Handwriting Recognition. In 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), août 2018, Niagara Falls, Canada.
      https://hal.science/hal-01821598v1
    • [54] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources. In 27th International Conference on Computational Linguistics (COLING), août 2018, Santa Fe, NM, états-Unis.
      https://hal.science/hal-01868743v1
    • [55] Z. Chen, H. Mouchère, E. Anquetil, C. Viard-Gaudin. Early Recognition of Handwritten Gestures based on Multi-classifier Reject Option. In 14th IAPR International Conference on Document Analysis and Recognition (ICDAR2017), novembre 2017, Kyoto, Japon.
      https://hal.science/hal-01653154v1
    • [56] T. Zhang, H. Mouchère, C. Viard-Gaudin. Tree-based BLSTM for mathematical expression recognition. In International Conference on Document Analysis and Recognition (ICDAR), novembre 2017, Kyoto, Japon.
      https://hal.science/hal-01576305v1
    • [57] T. Zhang, H. Mouchère, C. Viard-Gaudin. Using BLSTM for Interpretation of 2D Languages - Case of Handwritten Mathematical Expressions. In Colloque International Francophone sur l’Écrit et le Document 2016 (CIFED), mars 2016, Toulouse, France.
      https://hal.science/hal-01576308v1
    • [58] C. Wang, H. Mouchère, C. Viard-Gaudin, L. Jin. Combined Segmentation and Recognition of Online Handwritten Diagrams with High Order Markov Random Field. In International Conference on Frontiers in Handwriting Recognition (ICFHR), octobre 2016, Shenzhen, Chine.
      https://hal.science/hal-01374389v1
    • [59] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. ICFHR 2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions. In International Conference on Frontiers in Handwriting Recognition (ICFHR), octobre 2016, Shenzhen, Chine.
      https://hal.science/hal-01374346v1
    • [60] T. Zhang, H. Mouchère, C. Viard-Gaudin. Online Handwritten Mathematical Expressions Recognition by Merging Multiple 1D Interpretations. In International Conference on Frontiers in Handwriting Recognition (ICFHR), octobre 2016, Shenzhen, Chine.
      https://hal.science/hal-01374392v1
    • [61] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment. In 15th International Conference on Frontiers in Handwriting Recognition, octobre 2016, Shenzhen, Chine.
      https://hal.science/hal-01398762v1
    • [62] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment. In International Conference on Frontiers in Handwriting Recognition (ICFHR), octobre 2016, Shenzhen, Chine.
      https://hal.univ-antilles.fr/hal-01374376v1
    • [63] Z. Zhong, P. Weishen, H. Mouchère, C. Viard-Gaudin, J. Lianwen. SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents. In International Conference on Frontiers in Handwriting Recognition (ICFHR), octobre 2016, Shenzhen, Chine.
      https://hal.science/hal-01374401v1
    • [64] F. Julca-Aguilar, N. Hirata, H. Mouchère, C. Viard-Gaudin. Subexpression and Dominant Symbol Histograms for Spatial Relation Classification in Mathematical Expressions. In 23rd International Conference on Pattern Recognition (ICPR), décembre 2016, Cancun, Mexique.
      https://hal.science/hal-01374383v1
    • [65] T. Zhang, H. Mouchère, C. Viard-Gaudin. On-line Handwritten Isolated Symbol Recognition using Bidirectional Long Short-term Memory (BLSTM) Networks. In Third Sino-French Workshop on Education and Research collaborations in Information and Communication Technologies SIFWICT 2015, juin 2015, Nantes, France.
      https://hal.science/hal-01576309v1
    • [66] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching. In 17th Biennial Conference of the International Graphonomics Society, juin 2015, Pointe-à-Pitre, France.
      https://hal.science/hal-01243992v1
    • [67] F. Julca-Aguilar, H. Mouchère, C. Viard-Gaudin, N. Hirata. Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar. In 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings, novembre 2015, Montevideo, Uruguay.
      https://hal.science/hal-01272155v1
    • [68] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching. In 17th Biennial Conference of the International Graphonomics Society, juin 2015, Pointe-à-Pitre, Guadeloupe.In Céline Rémi (éds.), . , 2015.
      https://hal.univ-antilles.fr/hal-01165768v1
    • [69] F. Julca-Aguilar, C. Viard-Gaudin, H. Mouchère, S. Medjkoune, N. Hirata. Integration of Shape Context and Neural Networks for Symbol Recognition. In Colloque International Francophone sur l’Écrit et le Document 2014 (CIFED), mars 2014, Nancy, France.
      https://hal.science/hal-01150830v1
    • [70] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Vers l’Alignement des Signaux Écrit et Sonore. In Colloque International Francophone sur l’Écrit et le Document 2014 (CIFED), mars 2014, Nancy, France.
      https://hal.science/hal-01151106v1
    • [71] F. Julca-Aguilar, N. Hirata, C. Viard-Gaudin, H. Mouchère, S. Medjkoune. Mathematical symbol hypothesis recognition with rejection option. In 14th International Conference on Frontiers in Handwriting Recognition, septembre 2014, Crete, Grèce.
      https://hal.science/hal-01096531v1
    • [72] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. ICFHR 2014 Competition on Recognition of On-line Handwritten Mathematical Expressions (CROHME 2014). In International Conference on Frontiers in Handwriting Recognition, septembre 2014, Crete, Grèce.
      https://hal.science/hal-01070712v1
    • [73] S. Medjkoune, H. Mouchère, C. Viard-Gaudin, S. Petitrenaud. Text Alignment from Bimodal Mathematical Expression Sources. In 14th International Conference on Frontiers in Handwriting Recognition, septembre 2014, Crete, Grèce.
      https://hal.science/hal-01096510v1
    • [74] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. A graph modeling strategy for multi-touch gesture recognition. In 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), septembre 2014, Crete island, Grèce.
      https://inria.hal.science/hal-01088774v1
    • [75] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain, D. Kim, J. Kim. ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions. In International Conference on Document Analysis and Recognition, août 2013, Washington, DC, états-Unis.
      https://hal.science/hal-00865627v1
    • [76] R. Zanibbi, H. Mouchère, C. Viard-Gaudin. Evaluating Structural Pattern Recognition for Handwritten Math via Primitive Label Graphs. In Document Recognition and Retrieval XX, février 2013, Burlingame, états-Unis.In Proceedings of SPIE, the International Society for Optical Engineering ; éd. SPIE, The International Society for Optical Engineering, 2013, vol. 8658.
      https://hal.science/hal-00852866v1
    • [77] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Using Online Handwriting and Audio Streams for Mathematical Expressions Recognition: a Bimodal Approach. In Document Recognition and Retrieval XX, février 2013, Burlingame, états-Unis.In Proceedings of SPIE, the International Society for Optical Engineering ; éd. SPIE, The International Society for Optical Engineering, 2013, vol. 8658.
      https://hal.science/hal-00852860v1
    • [78] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Multimodal Mathematical Expressions Recognition: Case of Speech and Handwriting. In 15th International Conference on Human-Computer Interaction, juillet 2013, Las Vegas, états-Unis.In Lecture Notes in Computer Science ; éd. Springer, 2013, vol. 8007.In Kurosu, Masaaki (éds.), Human-Computer Interaction. Interaction Modalities and Techniques. , 2013.
      https://hal.science/hal-00852846v1
    • [79] H. Mouchère, C. Viard-Gaudin, D. Kim, J. Kim, U. Garain. ICFHR 2012 - Competition on Recognition of On-line Mathematical Expressions (CROHME 2012). In ICFHR 2012, 2012, Bari, Italie.
      https://hal.science/hal-00717850v1
    • [80] J. Li, H. Mouchère, C. Viard-Gaudin. Quantifying spatial relations to discover handwritten graphical symbols. In Document Recognition and Retrieval XIX, Part of the IS&T/SPIE 24th Annual Symposium on Electronic Imaging, janvier 2012, San Francisco, états-Unis.
      https://hal.science/hal-00672002v1
    • [81] J. Li, H. Mouchère, C. Viard-Gaudin. Reducing AnnotationWorkload Using a Codebook Mapping and its Evaluation in On-Line Handwriting. In 2012 International Conference on Frontiers in Handwriting Recognition, septembre 2012, Bari, Italie.
      https://hal.science/hal-00717851v1
    • [82] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Using Speech for Handwritten Mathematical Expression Recognition Disambiguation. In 2012 International Conference on Frontiers in Handwriting Recognition, septembre 2012, Bari, Italie.
      https://hal.science/hal-00717855v1
    • [83] A. Awal, G. Feng, H. Mouchère, C. Viard-Gaudin. First Experiments on a new Online Handwritten Flowchart Database. In Document Recognition and Retrieval XVIII, janvier 2011, San Fransisco, états-Unis.
      https://hal.science/hal-00518451v1
    • [84] A. Lemaitre, H. Mouchère, J. Camillerapp, B. Coüasnon. Interest of Syntactic Knowledge for On-line Flowchart Recognition. In Graphics Recognition, GREC 2011, septembre 2011, , Corée du Nord.
      https://hal.science/hal-00635457v1
    • [85] H. Mouchère, C. Viard-Gaudin, U. Garain, D. Kim, J. Kim. CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions. In 11th International Conference on Document Analysis and Recognition, ICDAR 2011, septembre 2011, Beijing, Chine.
      https://hal.science/hal-00615216v1
    • [86] J. Li, H. Mouchère, C. Viard-Gaudin. Symbol Knowledge Extraction from a Simple Graphical Language. In 11th International Conference on Document Analysis and Recognition, ICDAR 2011, septembre 2011, Beijing, Chine.
      https://hal.science/hal-00615208v1
    • [87] R. Zanibbi, A. Pillay, H. Mouchère, C. Viard-Gaudin, D. Blostein. Stroke-Based Performance Metrics for Handwritten Mathematical Expressions. In 11th International Conference on Document Analysis and Recognition, ICDAR 2011, septembre 2011, Beijing, Chine.
      https://hal.science/hal-00615215v1
    • [88] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Handwritten and Audio Information Fusion for Mathematical Symbol Recognition. In 11th International Conference on Document Analysis and Recognition, ICDAR 2011, septembre 2011, Beijing, Chine.
      https://hal.science/hal-00615206v1
    • [89] S. Quiniou, H. Mouchère, S. Peña Saldarriaga, C. Viard-Gaudin, E. Morin, S. Petitrenaud, S. Medjkoune. HAMEX - a Handwritten and Audio Dataset of Mathematical Expressions. In 11th International Conference on Document Analysis and Recognition, ICDAR 2011, septembre 2011, Beijing, Chine.
      https://hal.science/hal-00615210v1
    • [90] J. Li, H. Mouchère, C. Viard-Gaudin. UNSUPERVISED HANDWRITTEN GRAPHICAL SYMBOL LEARNING Using Minimum Description Length Principle on Relational Graph. In International Conference on Knowledge Discovery and Information Retrieval, KDIR 2011, octobre 2011, Paris, France.
      https://hal.science/hal-00615217v1
    • [91] A. Awal, H. Mouchère, C. Viard-Gaudin. A Hybrid Classifier for Handwritten Mathematical Expression Recognition. In Electronic Imaging: Document Recognition and Retrieval XVI, janvier 2010, San José, états-Unis.
      https://hal.science/hal-00466874v1
    • [92] A. Awal, H. Mouchère, C. Viard-Gaudin. Apprentissage de relations spatiales pour la reconnaissance d'expressions mathématiques manuscrites en-ligne. In Colloque International Francophone sur l'Ecrit et le Document (CIFED2010), mars 2010, , France.
      https://hal.science/hal-00490999v1
    • [93] A. Delaye, H. Mouchère. Vers une approche générique pour la reconnaissance de formes manuscrites structurées : Application aux équations mathématiques et aux caractères chinois. In Colloque International Francophone sur l'Ecrit et le Document (CIFED2010), mars 2010, Sousse, Tunisie.
      https://hal.science/hal-00491000v1
    • [94] A. Awal, H. Mouchère, C. Viard-Gaudin. Improving online handwritten mathematical expressions recognition with contextual modeling. In International Conference on Frontiers in Handwriting Recognition, novembre 2010, , Inde.
      https://hal.science/hal-00518458v1
    • [95] A. Awal, H. Mouchère, C. Viard-Gaudin. The Problem of Handwritten Mathematical Expression Recognition Evaluation. In International Conference on Frontiers in Handwriting Recognition, novembre 2010, Calcutta, Inde.
      https://hal.science/hal-00518454v1
    • [96] H. Yan, L. Jin, C. Viard-Gaudin, H. Mouchère. SCUT-COUCH2009-TL: An Unconstrained Online Handwritten Chinese Text Lines Dataset. In International Conference on Frontiers in Handwriting Recognition, novembre 2010, , Inde.
      https://hal.science/hal-00580597v1
    • [97] A. Awal, H. Mouchère, C. Viard-Gaudin. Towards Handwritten Mathematical Expressions Recognition. In 10th International Conference on Document Analysis and Recognition, ICDAR 2009, juillet 2009, Barcelone, Espagne.
      https://hal.science/hal-00463115v1
    • [98] A. Almousa Almaksour, H. Mouchère, E. Anquetil. Fast Online Incremental Learning with Few Examples For Online Handwritten Character Recognition.. In Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR'08), août 2008, , Canada.
      https://hal.science/hal-00491338v1
    • [99] E. Anquetil, A. Almaksour, H. Mouchère. Fast Online Incremental Learning with Few Examples For Online Handwritten Character Recognition. In Proceedings of the Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR'08), août 2008, Montréal, Canada.
      https://hal.science/hal-00463233v1
    • [100] F. Lotte, H. Mouchère, A. Lécuyer. Pattern Rejection Strategies for the Design of Self-Paced EEG-based Brain-Computer Interfaces. In International Conference on Pattern Recognition, décembre 2008, Tampa, états-Unis.
      https://inria.hal.science/inria-00310878v1
    • [101] A. Almaksour, H. Mouchère, E. Anquetil. Apprentissage incrémental et synthèse de données pour la reconnaissance de caractères manuscrits en-ligne. In Colloque International Francophone sur l'Ecrit et le Document, octobre 2008, , France.In Antoine Tabbone et Thierry Paquet (éds.), Dixième Colloque International Francophone sur l'Ecrit et le Document. Groupe de Recherche en Communication Ecrite, 2008.
      https://hal.science/hal-00335040v1
    • [102] S. Bayoudh, H. Mouch?e, L. Miclet, E. Anquetil. Learning a classifier with very few examples: knowledg based and analogy generation of new exemples for character recognition.. In European Conference on Machine Learning, septembre 2007, Warsaw, Pologne.
      https://inria.hal.science/inria-00300717v1
    • [103] H. Mouchère, S. Bayoudh, E. Anquetil, L. Miclet. Synthetic On-line Handwriting Generation by Distortions and Analogy. In in 13th Conference of the International Graphonomics Society (IGS2007), novembre 2007, Melbourne, Australie.
      https://hal.science/inria-00300700v2
    • [104] H. Mouchère, E. Anquetil. A Unified Strategy to Deal with Different Natures of Reject. In International Conference on Pattern Recognition, août 2006, Hong-Kong, R.A.S. chinoise de Hong Kong.
      https://hal.science/hal-00300186v1
    • [105] H. Mouchère, E. Anquetil, N. Ragot. Writer Style Adaptation of On-line Handwriting Recognizers: A Fuzzy Mechanism Approach. In International Graphonomics Society, juin 2005, Salerno, Italie.In A. Marcelli and C. De Stefano (éds.), . , 2005.
      https://inria.hal.science/inria-00300474v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [106] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Ancres vs Attention : comparaison de méthodes d’explicabilité des réseaux profonds sur un cas d’usage réel. In 21èmes Journées Francophones Extraction et Gestion des Connaissances (EGC) - Atelier "DL for NLP : Deep Learning pour le traitement automatique des langues", janvier 2021, Montpellier, France.
      https://hal.science/hal-03211939v1
    • [107] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Tour d’horizon autour de l’explicabilité des modèles profonds. In Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), juin 2020, Angers, France.
      https://hal.science/hal-02882049v1
    • [108] J. Chopin, J. Fasquel, H. Mouchère, I. Bloch, R. Dahyot. Méthode d’analyse sémantique d’images combinant apprentissage profond et relations structurelles par appariement de graphes. In Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), juin 2020, Angers, France.
      https://hal.science/hal-02882043v1
    • [109] T. Gomez, H. Mouchère, T. Fréour, M. Feyeux. Apprentissage profond appliqué à la classification d’images microscopiques embryonnaires. In Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), juin 2020, Angers, France.
      https://hal.science/hal-02882052v1
    • [110] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Décodeur neuronal pour la transcription de documents manuscrits anciens. In 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), mai 2018, Rennes, France.
      https://hal.science/hal-01868747v1
    • [111] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Étude préliminaire de reconnaissance d'écriture sur des documents historiques. In Rencontre des Jeunes Chercheurs en Recherche d'Information (RJCRI), mars 2017, Marseille, France.
      https://hal.science/hal-01758573v1
    • [112] J. Li, H. Mouchère, C. Viard-Gaudin. Une distance entre deux ensembles de séquences avec la contrainte de continuité. In Colloque International Francophone sur l'Ecrit et le Document (CIFED2012), mars 2012, Bordeaux, France.
      https://hal.science/hal-00671998v1
    • [113] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Fusion d'Informations Bi-modales pour la Reconnaissance d'Expressions Mathématiques : Cas des modalités audio et écriture manuscrite en ligne. In Colloque International Francophone sur l'Ecrit et le Document (CIFED2012), mars 2012, Bordeaux, France.
      https://hal.science/hal-00672003v1
    • [114] A. Awal, H. Mouchère, C. Viard-Gaudin. Un classifieur hybride pour la reconnaissance d'expressions mathématiques manuscrites en-ligne. In 17ème Congrès Reconnaissance des Formes et Intelligence Artificielle (RFIA), janvier 2010, Caen, France.
      https://hal.science/hal-00470592v1
    • [115] H. Mouchère, E. Anquetil, N. Ragot. Etude et gestion des types de rejet pour l'optimisation de classifieurs. In 15eme congrès francophone Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006), janvier 2006, Tours, France.
      https://hal.science/hal-00463427v1
    • [116] H. Mouchère, E. Anquetil. Synthèse de caractères manuscrits en-ligne pour la reconnaissance de l'écriture. In International Francophone sur l'Ecrit et le Document, 2006, Fribourg, Suisse.In Laurence Likforman (éds.), Colloque International Francophone sur l'Ecrit et le Document. , 2006.
      https://hal.science/hal-00113590v1
    • [117] H. Mouchère, E. Anquetil. Generalization Capacity of Handwritten Outlier Symbols Rejection with Neural Network. In Tenth International Workshop on Frontiers in Handwriting Recognition, octobre 2006, La Baule (France).In Guy Lorette (éds.), . Suvisoft, 2006.
      https://inria.hal.science/inria-00104310v1
    • [118] H. Mouchère, E. Anquetil, N. Ragot. On-line writer adaptation for handwriting recognition using fuzzy inference systems. In 8th International Conference on Document Analysis and Recognition - ICDAR'05, août 2005, Seoul/Korea.
      https://inria.hal.science/inria-00001246v1
    • [119] H. Mouchère, E. Anquetil, N. Ragot. Étude des mécanismes d'adaptation pour l'optimisation de classifieurs flous dans le cadre de la reconnaissance d'écriture manuscrite. In 12èmes rencontres francophones sur la Logique Floue et ses Applications (LFA'04), décembre 2004, Nantes, France.
      https://hal.science/hal-01191732v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

    • [120] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Reinforcement Learning and Sequential QAP-Based Graph Matching for Semantic Segmentation of Images. In Emerging Topics in Pattern Recognition and Artificial Intelligence. 09-09-2024
      https://hal.science/hal-04754163v1
    • [121] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. A methodology to compare XAI explanations on natural language processing. In Explainable Deep Learning AI. 2023
      https://hal.science/hal-04139744v1
    • [123] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. Handwritten Mathematical Expressions. In Document Analysis and Text Recognition, Benchmarking State-of-the-Art Systems. 04-2018
      https://hal.science/hal-01689109v1
    • [124] A. Lemaitre, H. Mouchère, J. Camillerapp, B. Couasnon. Interest of syntactic knowledge for on-line flowchart recognition. In Graphics Recognition New Trends and Challenges. 12-2013
      https://inria.hal.science/hal-00854450v1

Theses et HDR (THESE)

    • [126] H. Mouchère. Étude des mécanismes d'adaptation et de rejet pour l'optimisation de classifieurs : Application à la reconnaissance de l'écriture manuscrite en-ligne. Thèses : INSA de Rennes.
      https://theses.hal.science/tel-00379228v1
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