International Journals in Red - National Journals in Blue Book Chapters or Editor in Green
International Conferences in Black - National Conferences in Grey Invited conferences Orange
2024
Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves RAMEL, Sébastien Adam. G2N2 :
Weisfeiler and Lehman go grammatical. The Twelfth International Conference on Learning Representations ICLR 2024. Vienna,
Austria, May 07 2024 Accepted paper (Ranking A* and in the top 7% of academic conferences according core).
2023
Antoine
Bourlier , Elodie Chaillou , Jean-Yves Ramel, 3DBrainMiner, A tool to
generate brain graphs from MR-images NeuroCompare : Comparative
Neuronal Circuits For Adaptive Behaviour, Sep 2023, Bordeaux, France
Jean-Yves
Ramel. Intégration de l'humain dans les systèmes d'analyse d'images :
des tentatives et des perspectives: Journée DIAMS -Human in the Loop.
Orléans le 27/01/2023. PDF
Jason
Piquenot, Aldo Moscatelli, Maxime Bérar, Pierre Héroux, Jean-Yves
Ramel, Romain Raveaux, Sébastien Adam: Technical report: Graph Neural
Networks go Grammatical. CoRR abs/2303.01590 (2023)
2022
Gaëtan Galisot, aJean-Yves Ramel, Thierry Brouard, Elodie Chaillou, Barthélémy Serres Visual
and structural feature combination in an interactive machine learning
system for medical image segmentation. Machine Learning with
Applications. Volume 8, 15 June 2022, URL
Donatello
Conte, Jean-Yves Ramel, Pasquale Foggia: Editorial paper for pattern
recognition letters VSI on advances in graph-based recognition for
pattern recognition. Pattern Recognit. Lett. 161: 99-100 (2022)
2021
Kieu
Diem Ho, Jean-Yves Ramel and Nicolas Monmarché. Multivalent Graph
Matching for Symbol Recognition. ICDAR Workshops (2) 2021: 488-503.
2020
Zeina
Abu-Aisheh, Romain Raveaux, Jean-Yves Ramel: Efficient k-nearest
neighbors search in graph space. Pattern Recognit. Lett. 134: 77-86
(2020)
Kieu
Diem Ho, Jean-Yves Ramel and Nicolas Monmarché. Multivalent Graph
Matching Problem Solved By Max-Min Ant System. IAPR Joint International
Workshops on Statistical techniques in Pattern Recognition (SPR 2020)
and Structural and Syntactic Pattern Recognition (SSPR 2020)..
2019
Xiahai
Zhuang, Gaetan Galisot, JY Ramel, T Brouard, et Al: Evaluation of
Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access
Grand Challenge. Medical Image Analysis. Vol 58, Dec. 2019, 101537.
Available also on CoRR abs/1902.07880. PDF
JY
Ramel, N Vincent. Semantic and interaction: when Document Image
Analysis meets Computer Vision and Machine Learning ICDAR 2019. Sydney,
Austrlia. PDF
David
J. T. Boas, Sergii Poltaretskyi, Jean-Yves Ramel, Jean Chaoui, Julien
Berhouet, Mohamed Slimane:Relative Pose Improvement of Sphere based
RGB-D Calibration. VISIGRAPP (4: VISAPP) 2019: 91-98
Gaetan Galisot, Thierry Brouard, Jean-Yves Ramel, Elodie Chaillou:A
Comparative Study on Voxel Classification Methods for Atlas based
Segmentation of Brain Structures from 3D MRI Images. VISIGRAPP (4:
VISAPP) 2019: 341-350. PDF
Donatello Conte, Jean-Yves Ramel, Pasquale Foggia: Graph-Based
Representations in Pattern Recognition - 12th IAPR-TC-15 International
Workshop, GbRPR 2019, Tours, France, June 19-21, 2019, Proceedings.
Lecture Notes in Computer Science 11510, Springer 2019, ISBN
978-3-030-20080-0
Clément
Laplaige, Jean-Yves Ramel, Xavier Rodier, Shuo Bai, Ronan Guillaume:
Extraction of linear structures from LIDAR images using a machine
learning approach Computer Applications & Quantitative Methods in Archaeology, 2018-2019
2018
Jean-Yves
Ramel. Semantic & interaction: the meeting points between Document
Image Analysis and Computer Vision: International Worshop IDAKS 2019.
Sienna Italie (Oct 2018). PDF
Z.
Abu-Aisheh, JY Ramel, R. Raveaux, P Martineau. Parallel Graph Edit
Distance Algorithm Expert Systems with Applications
(ESWA). Elsevier, 2018, Vol 94, pp.41 - 57.
〈10.1016/j.eswa.2017.10.043〉.. PDF
Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel, Umapada Pal: Comparative study
of conventional time series matching techniques for word spotting.
Pattern Recognition Vol 73: pp47-64 (2018) PDF
Galisot
G., Brouard T., Ramel JY. Local Probabilistic Atlases and a Posteriori
Correction for the Segmentation of Heart Images. In: Pop M. et al.
(eds) Statistical Atlases and Computational Models of the Heart. ACDC
and MMWHS Challenges. STACOM 2017. Lecture Notes in Computer Science,
vol 10663. Springer, Cham
2017
Z.
Abu-Aisheh, B. Gaüzère, S. Bougleux, JY Ramel, L. Brun, R. Raveaux, P.
Héroux, S. Adam, Graph edit distance contest: Results and future
challenges Pattern Recognition Letters. Vol 100, pp96-103. 1 December 2017.〈10.1016/j.patrec.2017.10.007〉. PDF
Jean-Yves
Ramel. From image to content. invited talk. DARIAH Summer school
2017: “Bibliotheca Digitalis Le Mans, juillet 2017– Reconstitution of Early Modern
Cultural Networks: From primary source to data”. PDF
Jean-Yves Ramel. Conference/Débat Avenir de la communauté Ecrit et Documents. SIFED 2017. Nantes Juin 2017. PDF
Gaetan
Galisot, Thierry Brouard, Jean-Yves Ramel, and Elodie
Chaillou. Segmentation of MRI Brain images using local atlases and
associated local classifiers for systematic error correction.VIpimage 2017 - http://paginas.fe.up.pt/~vipimage/
Anh
Khoi NgoHo, Véronique Eglin, Nicolas RagotJean-Yves Ramel. A
multi-one-class dynamic classifier for adaptive digitization of
document streams. International Journal on Document Analysis and
Recognition (IJDAR) pp 1–18. (2017). doi:10.1007/s10032-017-0286-6. PDF
S.
Bai, C. Laplaige, J.-Y. Ramel, X. Rodier. Extraction of linear
structures from LIDAR images using a machine learning approach.. In
Computer Applications and Quantitative Methods in Archaeology (CAA)
international conference. March 2017.
Zeina Abu-Aisheh, Romain Raveaux, and Jean-Yves Ramel. Fast
Nearest Neighbors Search in Graph Space based on a Branch-and-Bound
Strategy. Graph-Based Representations in Pattern Recognition - 11th
IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May
16-18, 2017, Proceedings. Lecture Notes in Computer Science 10310,
pp197-207. 2017
Gaetan Galisot, Thierry Brouard, Jean-Yves Ramel and Elodie Chaillou. Image
segmentation using local probabilistic atlases coupled with topological
information. Proceedings of the 12th International Joint Conference on
Computer Vision, Imaging and Computer Graphics Theory and Applications
(VISIGRAPP 2017) - Volume 4: VISAPP. Porto Portugal. pp501-508. 27th
Feb 2017
2016
Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel, Umapada Pal: Flexible Sequence
Matching technique: An effective learning-free approach for word
spotting. Pattern Recognition 60: 596-612 (2016)
The Anh Pham, Mathieu Delalandre, Sabine
Barrat, Jean-Yves Ramel: Erratum to "Accurate junction detection and
characterization in line-drawing images" [Pattern Recognit. 47(1) - 2014) - 282-295]. Pattern Recognition 49: 249-250 (2016)
Nicolas
Sidere, Jean-Yves Ramel, Sabine Barrat, Vincent Poulain D'Andecy,
Saddok Kebairi: A Compliant Document Image Classification System Based
on One-Class Classifier. DAS 2016: 96-101
Nathalie
Girard, Roger Trullo, Sabine Barrat, Nicolas Ragot, Jean-Yves Ramel:
Interactive Definition and Tuning of One-Class Classifiers for Document
Image Classification. DAS 2016: 358-363
Clément
Laplaige, Jean-Yves Ramel, Xavier Rodier, Bechir Ben-Rhima. Extraction
of linear structures from LIDAR images using a machine learning
approach. Proceedings of IMEKO International Conference on Metrology for Archaeology and Cultural Heritage (MetroArchaeo 2016) Oct 2016, Torino, Italy. pp.83-88
Anh
Khoi Ngo Ho, Véronique Eglin, Nicolas Ragot, Jean-Yves Ramel. Multi
One-Class Incremental SVM for Document Stream Digitization 12th IAPR
International Workshop on Document Analysis Systems (DAS 2016), Apr
2016, Santorini, Greece. Proceedings of the 12th IAPR International
Workshop on Document Analysis Systems (DAS 2016), 2016, Short paper
booklet
G. Galisot, T. Brouard, JY. Ramel.
Apprentissage et exploitation d’un graphe topologique d’atlas
probabilistes locaux pour la segmentation d’images IRM. RFIA 2016
Clermont-Ferrand.PDF
2015
Partha
Pratim Roy, Frédéric Rayar, Jean-Yves Ramel: Word spotting in
historical documents using primitive codebook and dynamic programming.
Image Vision & Computing. Elsevier. Vol 44: p15-28 (2015) Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel, Umapada Pal. Performance
Evaluation of DTW and its Variants for Word Spotting in Degraded
Documents. 13th International Conference on Document Analysis and
Recognition (ICDAR 2015), Aug 2015, Nancy, France. 2015
Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel, Umapada Pal. Exemplary Sequence
Cardinality: An Effective Application for Word Spotting. 13th
International Conference on Document Analysis and Recognition (ICDAR
2015), Aug 2015, Nancy, France. 2015
A.
Tarafdar, Umapada Pal, Jean-Yves Ramel, Nicolas Ragot, Alireza Alaei. A
Vectorization and Decision Tree Based Text-Graphics Separation
Algorithm for Bangla Maps. 11th IAPR International Workshop on Graphics Recognition (GREC’15), Aug 2015, Nancy, France. 2015
The
Anh Pham; Sabine Barrat, Mathieu Delalandre, Jean-Yves Ramel.
An efficient tree structure for indexing feature vectors , Pattern
Recognition Letters, Vol 55:p 42-50 (2015).
Zeina
Abu-Aisheh, Romain Raveaux, Jean-Yves Ramel: A Graph Database
Repository and Performance Evaluation Metrics for Graph Edit Distance.
GbRPR 2015: 138-147.
Zeina
Abu-Aisheh, Romain Raveaux, Jean-Yves Ramel, Patrick Martineau: An
Exact Graph Edit Distance Algorithm for Solving Pattern Recognition
Problems. ICPRAM (1) 2015: 271-278
L. Paulhac, J.-Y. Ramel, et P.
Makris, « A framework of perceptual features for the characterisation of 3D textured images », Signal, Image and Video Processing, Signal, Image and Video Processing 9(2): 305-329 (2015) - URL - DOI=10.1007/s11760-013-0438-1
2014
Anh khoi Ngo-ho, Nicolas Ragot, Veronique Eglin, Jean-Yves Ramel,
Multi One-Class Incremental SVM For Both Stationary And Non-Stationary
Environment. CAp'2014 : Conférence d'Apprentissage Automatique. 8-10 juil. 2014 Saint-Etienne (France) p20-29
ArundhatiTarafdar, Umapada Pal, Jean-Yves Ramel, Nicolas Ragot and Bidyut B. Chaudhuri. Word
Spotting in Bangla and English Graphical Documents. To appear August
24-28, 2014, Stockholm Waterfront, Stockholm, Sweden. ICPR 2014.
Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel and Umapada Pal. A Flexible
Sequence Matching Technique for Word Spotting in Degraded Documents. To
appear 14th International Conference on Frontiers in Handwriting
Recognition (ICFHR-2014); September 1-4, 2014 Crete, Greece.
N.Sidère,
F. Alaei, N. Girard, S. Barrat et J.-Y. Ramel. Une nouvelle méthode de
classification monoclasse à base de représentation symbolique :
application à la classification de documents A paraître dans les Actes
du 19ème Congrès Francophone de Reconnaissance des Formes et
Intelligence Artificielle (RFIA 2014), Rouen, 2014.
Pascal
Bourquin et Jean-Yves Ramel. Un moteur d’appariement et transformation
de sous-arbres pour la conception interactive de scénarios d’analyse
d’images de documents. Actes du Colloque International Francophone sur l'Ecrit et le Document (CIFED 2014), Nancy, 2014.
N.
Sidère, J.-Y. Ramel, S. Barrat, V. Poulain d'Andecy et S. Kebairi.
Identification de documents par classication monoclasse. Actes du
Colloque International Francophone sur l'Ecrit et le Document (CIFED
2014), Nancy, 2014.
The
Anh Pham, Mathieu Delalandre, Sabine Barrat, Jean-Yves Ramel. Accurate
junction detection and characterization in line-drawing images. , Pattern
Recognition, Volume 47, Issue 1, January 2014, Pages 282–295. URL - DOI=10.1016/j.patcog.2013.06.027
2013
Muhammad Muzzamil Luqman, Jean-Yves
Ramel and Josep Lladós. Multilevel Analysis of Attributed Graphs for Explicit Graph
Embedding in Vector Spaces, In Graph Embedding for Pattern Analysis, Yun
Raymond Fu (Ed.), p. 1–26Springer, 2013.
The
Anh Pham, Sabine Barrat, Mathieu Delalandre and Jean-Yves Ramel, An
efficient indexing scheme based on linked-node m-ary tree structure.
International Conference on Image Analysis and Processing (ICIAP).
September 2013 Naples (Italie).
Arundhati
Tarafdar, Umapada Pal, Partha Pratim Roy, Nicolas Ragot and Jean-Yves
Ramel, A Two-Stage Approach for Word Spotting in graphical
Documents. 12th International Conference on Document Analysis and
Recognition (ICDAR 2013), Washington DC, USA, August 25-28, 2013.
Tanmoy
Mondal, Nicolas Ragot, Jean-Yves Ramel and Umapada Pal, A Fast Word
Recognition Technique. 12th International Conference on Document
Analysis and Recognition (ICDAR 2013), Washington DC, USA, August
25-28, 2013.
Anh
Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Véronique Eglin and
Nicolas Sidere, Document Classification in a non-stationary
environement: A One-Class SVM Approach. 12th International Conference
on Document Analysis and Recognition (ICDAR 2013), Washington DC, USA,
August 25-28, 2013.
The
Anh Pham, Mathieu Delalandre, Sabine Barrat and Jean-Yves Ramel, Robust
symbol localization based on junction features and efficient geometry
consistency checking. 12th International Conference on Document
Analysis and Recognition (ICDAR 2013), Washington DC, USA, August
25-28, 2013.
L. Paulhac, J.-Y. Ramel, et P.
Makris, « A
combined topological and statistical approach for interactive
segmentation of
3D images », Machine Vision and Applications, Vol 24(6). pp1239-1253. Sept. 2013. URL DOI=10.1007/s00138-012-0477-6
M. M. Luqman, J.-Y. Ramel, J.
Lladós, et T.
Brouard, « Fuzzy multilevel graph embedding », Pattern
Recognition,
vol. 46, no 2, p. 551‑565, févr. 2013. URL - DOI=10.1016/j.patcog.2012.07.029
Donatello
Conte, JY Ramel, Nicolas Sidère, MM. Luqman, Benoit Gauzere, Jaume
Gibert, and Luc Brun. A Comparison of Explicit and Implicit Graph
Embedding Methods for Pattern Recognition. 9th IAPR workshop on
Graph-based Representations in Pattern Recognition Vienna.LNCS 7877. p81.90. GbR 2013.
J.-Y.
Ramel, N. Sidere, et F. Rayar, « Interactive
layout analysis, content extraction, and transcription of historical
printed
books using Pattern Redundancy Analysis », Literary and
Linguistic
Computing, Vol 28(2) ; p301-314 June. 2013. URL DOI=10.1093/llc/fqs077
2012
P. P. Roy,
F. Rayar, et J.-Y. Ramel, « An
Efficient Coarse-to-Fine Indexing Technique for Fast Text Retrieval in
Historical Documents », presented at the Document Analysis Systems
(DAS),
2012 10th IAPR International Workshop on, Queensland - Australia, 2012,
p. 150‑154.
T.-A.
Pham, M. Delalandre, S. Barrat, et
J.-Y. Ramel, « A Robust Approach for Local Interest Point
Detection in
Line-Drawing Images », presented at the Document Analysis Systems
(DAS),
2012 10th IAPR International Workshop on, 2012, p. 79‑84.
M. M.
Luqman, J. Y. Ramel, et J. Lladós, « Improving
Fuzzy Multilevel Graph Embedding through Feature Selection
Technique », in Structural, Syntactic, and Statistical Pattern
Recognition,
LNCS vol. 7626,
G. Gimel’farb, E. Hancock, A. Imiya, A. Kuijper, M. Kudo, S. Omachi, T.
Windeatt, et K. Yamada, Éd. Berlin, Heidelberg: Springer Berlin
Heidelberg,
2012, p. 243‑253.
2011
L. Paulhac, J.-Y. Ramel, et T.
Renard, « Interactive
Segmentation of 3D Images Using a Region Adjacency Graph
Representation »,
in Image Analysis and Recognition, LNCS vol. 6753, M. Kamel et A.
Campilho, Éd.
Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, p. 354‑364.
Brigitte
Grau, Régine Laleau, Jean-Yves Ramel. Systèmes d’indexation et
recherche d’information Modèles pour la conception et l’évaluation.
Revue des Sciences et Technologies de l’Information. Ssérie Document
Numérique • Volume 14 – n° 2/2011.
2010
Muhammad
Muzzamil Luqman, Thierry Brouard, Jean-Yves Ramel and Josep Llados A
Content Spotting System For Line Drawing Graphic Document Images. 2010
International Conference on Pattern Recognition. p3420-3423. Septembre
2010. Istambul (Turkey).
M.M.
Luqman, J. Lladós T. Brouard, JY Ramel: A fuzzy interval based approach
for explicit graph embeding, Lecture Notes in Computer Science Volume
6388, 2010, DOI: 10.1007/978-3-642-17711-8 Recognizing Patterns in
Signals, Speech, Images and Videos. p93-99. ICPR 2010 Contests,
Istanbul, Turkey, August 23-26, 2010, Contest Reports Devrim Ünay,
Zehra Çataltepe and Selim Aksoy
M. M.
Luqman, M. Delalandre, T. Brouard, J.-Y.
Ramel, et J. Lladós, « Fuzzy Intervals for Designing Structural
Signature:
An Application to Graphic Symbol Recognition », in Graphics
Recognition. Achievements, Challenges, and Evolution, LNCS vol. 6020,
J.-M.
Ogier, W. Liu, et J. Lladós, Éd. Berlin, Heidelberg: Springer Berlin
Heidelberg,
2010, p. 12‑24.
T.Brouard,
A.Delaplace, M.M.Luqman, H.Cardot, J-Y.Ramel Design of evolutionary
methods applied to the learning of Bayesian network structures In
Bayesian Networks, Sciyo. ISBN 978-953-7619-X-X
M. Delalandre, J.-Y. Ramel, E.
Valveny, et M.
M. Luqman, « A Performance Characterization Algorithm for Symbol
Localization », in Graphics Recognition. Achievements,
Challenges, and
Evolution, LNCS vol. 6020, J.-M. Ogier, W. Liu, et J. Lladós, Éd.
Berlin,
Heidelberg: Springer Berlin Heidelberg, 2010, p. 260‑271.
2009
N. Sidère, P. Héroux, et J.-Y.
Ramel, « Vector
Representation of Graphs: Application to the Classification of Symbols
and
Letters », in 2009 10th International Conference on Document
Analysis
and Recognition, Barcelona, Spain, 2009, p. 681‑685.
Mickael Coustaty, Jean-Marc Ogier, Nicolas Sidère, Pierre
Héroux, Jean-Yves Ramel, Hassan Chouaib, Nicole Vincent, Salim Jouilly,
Salvatore-Antoine Tabbone, Content-Based Old Documents Indexing, 8th
International Workshop on Graphics Recognition, IAPR, 2009.
L.
Paulhac, P. Makris, et J.-Y. Ramel, « A
Solid Texture Database for Segmentation and Classification
Experiments »,
in VISAPP (2), 2009, p. 135‑141.
L.
Paulhac, P. Makris, J.-M. Gregoire, et
J.-Y. Ramel, « Human Understandable Features for Segmentation of
Solid
Texture », in Advances in Visual Computing, LNCS vol. 5875, G.
Bebis, R.
Boyle, B. Parvin, D. Koracin, Y. Kuno, J. Wang, J.-X. Wang, J. Wang, R.
Pajarola, P. Lindstrom, A. Hinkenjann, M. L. Encarnação, C. T. Silva,
et D.
Coming, Éd. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 379‑390.
L.
Paulhac, P. Makris, J.-M. Gregoire, et
J.-Y. Ramel, « Descripteurs de Textures pour la Segmentation
d’Images
Echographiques 3D », in ORASIS’09 - Congrès des jeunes
chercheurs en
vision par ordinateur, Trégastel, France France, 2009.
M. M.
Luqman, T. Brouard, et J.-Y. Ramel, « Graphic
Symbol Recognition Using Graph Based Signature and Bayesian Network
Classifier »,
in ICDAR, 2009, p. 1325‑1329
2008
N. Journet, J.-Y. Ramel, R.
Mullot, et V. Eglin,
« Document image characterization using a multiresolution analysis
of the
texture: application to old documents », IJDAR, vol. 11, no
1, p. 9‑18,
juin 2008. URL DOI=10.1007/s10032-008-0064-6
N. Sidère,
P. Héroux, et J.-Y. Ramel, « Représentation
vectorielle pour l’indexation d’informations structurelles », in Dixième
Colloque International Francophone sur l’Ecrit et le Document Colloque
International Francophone sur l’Ecrit et le Document, France, 2008,
p. 19‑24.
N. Sidere,
P. Héroux, et J.-Y. Ramel, « A
Vectorial Representation for the Indexation of Structural
Informations »,
in SSPR/SPR SSPR/SPR, États-Unis d’Amérique, 2008, p. 45‑54.
L.
Paulhac, P. Makris, et J.-Y. Ramel, « Comparison
between 2D and 3D Local Binary Pattern Methods for Characterisation of
Three-Dimensional Textures », in Image Analysis and Recognition,
LNCS vol. 5112, A. Campilho et M. Kamel, Éd. Berlin, Heidelberg: Springer
Berlin
Heidelberg, 2008, p. 670‑679.
N.
Journet, J.-Y. Ramel, et C. Cureau, « Vers
une plate-forme d’indexation interactive de documents », in Dixième
Colloque International Francophone sur l’Ecrit et le Document Colloque
International Francophone sur l’Ecrit et le Document, France, 2008,
p. 197‑198.
Journet
N., Eglin V., Ramel J.Y., Mullot R., Analyse d'Images de Documents
Anciens : une Approche Texture. Revue Traitement du Signal (Presse
universitaire de Grenoble). Vol 24 n 6. 2008. p461-479.
2007
J. Y. Ramel, S. Leriche, M. L.
Demonet, et S.
Busson, « User-driven page layout analysis of historical printed
books », IJDAR, vol. 9, no 2‑4, p.
243‑261, mars 2007. URR DOI=10.1007/s10032-007-0040-6
R. J.
Qureshi, J.-Y. Ramel, et H. Cardot, « Graph
Based Shapes Representation and Recognition », in Graph-Based
Representations in Pattern Recognition, LNCS vol. 4538, F. Escolano et
M. Vento,
Éd. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, p. 49‑60.
R. J.
Qureshi, J.-Y. Ramel, D. Barret, et H.
Cardot, « Spotting Symbols in Line Drawing Images Using Graph
Representations », in Graphics Recognition. Recent Advances
and New
Opportunities, LNCS vol. 5046, W. Liu, J. Lladós, et J.-M. Ogier, Éd.
Berlin,
Heidelberg: Springer Berlin Heidelberg, 2007, p. 91‑103.
S.
Hocquet, J.-Y. Ramel, et H. Cardot, « User
Classification for Keystroke Dynamics Authentication », in ICB,
2007, p. 531‑539.
2006
R.-J. Qureshi, J.-Y. Ramel, et
H. Cardot, « De
l’appariement de graphes symboliques à l’appariement de graphes
numériques :
Application à la reconnaissance de symboles », in Actes du
9ème
Colloque International Francophone sur l’Ecrit et le Document,
2006, p. 31‑36.
N.
Journet, R. Mullot, V. Eglin, et J.-Y.
Ramel, « Analyse d’images de documents anciens : Catégorisation de
contenus par approche texture », in Actes du 9ème Colloque
International Francophone sur l’Ecrit et le Document, 2006, p. 247‑252.
J. Y.
Ramel, S. Busson, et M. L. Demonet, « AGORA:
the Interactive Document Image Analysis Tool of the BVH Project »,
in Second
International Conference on Document Image Analysis for Libraries
(DIAL’06),
Lyon, France, 2006, p. 145‑155.
N.
Jourmet, R. Mullot, V. Eglin, et J. .
Ramel, « Dedicated Texture Based Tools for Characterisation of Old
Books »,
in Second International Conference on Document Image Analysis for
Libraries
(DIAL’06), Lyon, France, 2006, p. 60‑69.
S.
Hocquet, J.-Y. Ramel, et H. Carbot, « Estimation
of User Specific Parameters in One-class Problems », in 18th
International Conference on Pattern Recognition (ICPR’06), Hong
Kong,
China, 2006, p. 449‑452.
2005
N. Journet, V. Eglin, R. Mullot,
et J.-Y.
Ramel, « Caractérisation de la mise en page des documents imprimés
de la
Renaissance par une analyse des orientations », in GRETSI
GRETSI,
France, 2005, p. 122‑129.
M.
Wirotius, J. Y. Ramel, et N. Vincent, « Distance
and Matching for Authentication by On-Line Signature », in Fourth
IEEE
Workshop on Automatic Identification Advanced Technologies (AutoID’05),
Buffalo, NY, USA, 2005, p. 230‑235.
N.
Journet, V. Eglin, J. Y. Ramel, et R.
Mullot, « Text/Graphic labelling of Ancient Printed
Documents », in Eighth
International Conference on Document Analysis and Recognition (ICDAR’05),
Seoul, Korea, 2005, p. 1010‑1014.
S.
Hocquet, J.-Y. Ramel, et H. Cardot, « Fusion
of Methods for Keystroke Dynamic Authentication », in Fourth
IEEE
Workshop on Automatic Identification Advanced Technologies (AutoID’05),
Buffalo, NY, USA, 2005, p. 224‑229.
Ramel
JY, Leriche S., Segmentation et analyse interactives de documents
anciens imprimés. Revue Traitement du Signal (Presse universitaire de
Grenoble). Vol 22 numero 3 – novembre 2005. p209-222
2004
M. Wirotius, J.-Y. Ramel, et N.
Vincent, « Selection
of Points for On-Line Signature Comparison », in Ninth
International
Workshop on Frontiers in Handwriting Recognition, Tokyo, Japan,
2004, p.
503‑508.
M. Wirotius, J. Y.
Ramel, et N. Vincent, « Improving
DTW for Online Handwritten Signature Verification », in Image
Analysis
and Recognition, LNCS vol. 3212, A. Campilho et M. Kamel, Éd. Berlin,
Heidelberg:
Springer Berlin Heidelberg, 2004, p. 786‑793.
M. Wirotius, J. Y.
Ramel, et N. Vincent, « New
Features for Authentication by On-Line Handwritten Signatures »,
in Biometric
Authentication, LNCS vol. 3072, D. Zhang et A. K. Jain, Éd. Berlin,
Heidelberg: Springer
Berlin Heidelberg, 2004, p. 577‑583.
J.-Y.
Ramel et N. Vincent, « Strategy for
Line Drawing Understanding », in Graphics Recognition. Recent
Advances
and Perspectives, LNCS vol. 3088, J. Lladós et Y.-B. Kwon, Éd. Berlin,
Heidelberg: Springer Berlin Heidelberg, 2004, p. 1‑12.
2003
J.-Y. Ramel, M. Crucianu, N.
Vincent, et C.
Faure, « Detection, extraction and representation of
tables », in Seventh
International Conference on Document Analysis and Recognition, 2003.
Proceedings., Edinburgh, UK, 2003, p. 374‑378.
S. Benadi,
P. Prévot, et J.-Y. Ramel, « Modéling
and implementing adaptative pedagogical hyper documents », in Proceedings
of the 15th French-speaking conference on human-computer interaction on
15eme
Conference Francophone sur l’Interaction Homme-Machine- IHM 2003, Caen, France, 2003, p. 32‑39.
2002
J.-Y. Ramel et P. Prévot,
« Un
environnement multimedia pour augmenter la convivialite des examens
d’irm »,
in Proceedings of the 14th French-speaking conference on
Human-computer
interaction (Conf?rence Francophone sur l’Interaction Homme-Machine)- IHM’02,
Poitiers, France, 2002, p. 259‑262.
2000
J. Y. Ramel, N. Vincent, et H.
Emptoz, « A
structural representation for understanding line-drawing images »,
International
Journal on Document Analysis and Recognition, vol. 3, no
2, p.
58‑66,
déc. 2000. URL - DOI=10.1007/s100320000037
1999
J.-Y.
Ramel, G. Boissier, et H. Emptoz, « A
Structural Representation Adapted to Handwritten Symbol
Recognition », in Graphics
Recognition Recent Advances, LNCS vol. 1941, A. K. Chhabra et D. Dori,
Éd.
Berlin, Heidelberg: Springer Berlin Heidelberg, 1999, p. 228‑237.
J.-Y. Ramel, G. Boissier, et H. Emptoz,
« Automatic
reading of handwritten chemical formulas from a structural
representation of
the image », in Proceedings of the Fifth International
Conference on
Document Analysis and Recognition. ICDAR’99
(Cat. No.PR00318), Bangalore, India, 1999, p. 83‑86.
1998
Ramel
JY, Vincent N., Emptoz H., Interprétation de documents techniques par
"cycles perceptifs" à partir d'une perception globale du document.
Revue Traitement du Signal (Presse universitaire de Grenoble). Vol. 15
n°2 - 1998. p1-20.
J. Y. Ramel, N. Vincent, et H.
Emptoz, « A
coarse vectorisation as an initial representation for the understanding
of line
drawing images », in Graphics Recognition Algorithms and
Systems,
LNCS vol. 1389, K. Tombre et A. K. Chhabra, Éd. Berlin, Heidelberg: Springer
Berlin
Heidelberg, 1998, p. 48‑57.
1997
J. Y. Ramel,
N. Vincent, et J. M. Brun, « Bezier
curves as a tool to describe kinetic drawings », in Proceedings
of the
Fourth International Conference on Document Analysis and Recognition,
Ulm,
Germany, 1997, p. 780‑783.
1996
Ramel
JY, Vincent N., Emptoz H., Coopération entre vision globale et analyse
locale pour une meilleure interprétation des documents techniques. In :
Actes du 4e Colloque National sur l'Ecrit et le Document (CNED'96). 3-5
juillet 1996 à Nantes. p117-124.
Ramel
JY, Vincent N., Emptoz H., Combining Global and Local Vision for
Technical Document Understanding. In : Proceedings of the 13th
International Conference on Pattern Recognition (ICPR’96). 25-30 août
1996 à Vienne (Autriche). p773-777.
1995
Ramel
JY, Vincent N., Emptoz H., A hierarchical method of extraction and
description of shapes in technical drawings. In : Proceedings of the
International Conference on Image Processing and its Applications
(IPA'95). 4-8 juillet 1995 à Edinburg (Ecosse). p379-383.
1994
Ramel
JY, Vincent N., Emptoz H., La reconnaissance des partitions musicales.
Actes du 3e Colloque National sur l'Ecrit et le Document (CNED'94). 6-8
juillet 1994 à Rouen. p 325-334.