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ORCIDYves Rangoni
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- affiliation: INRIA, France
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2010 – 2019
- 2016
[c14]Patrick O. Glauner, Jorge Augusto Meira
, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni:
Neighborhood features help detecting non-technical losses in big data sets. BDCAT 2016: 253-261- [c13]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-scale detection of non-technical losses in imbalanced data sets. ISGT 2016: 1-5 - [i3]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. CoRR abs/1602.08350 (2016) - [i2]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Jorge Augusto Meira, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. CoRR abs/1606.00626 (2016) - [i1]Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. CoRR abs/1607.00872 (2016) - 2015
- [j2]Szilárd Vajda, Yves Rangoni, Hubert Cecotti:
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit. Lett. 58: 23-28 (2015) - 2014
- [c12]Yves Rangoni, Valérie Maquil, Eric Tobias, Eric Ras:
Implementing widgets using sifteo cubes for visual modelling on tangible user interfaces. EICS 2014: 205-210 - [c11]Yves Rangoni, Eric Ras:
Benchmarking Binarisation Techniques for 2D Fiducial Marker Tracking. ICPRAM 2014: 616-623 - 2012
- [j1]Yves Rangoni, Abdel Belaïd, Szilárd Vajda:
Labelling logical structures of document images using a dynamic perceptive neural network. Int. J. Document Anal. Recognit. 15(1): 45-55 (2012) - 2010
- [c10]Abdel Belaïd, T. Moinel, Yves Rangoni:
Improved CHAID algorithm for document structure modelling. DRR 2010: 75340X - [c9]Joost van Beusekom, Yves Rangoni, Thomas M. Breuel:
Trainable multiscript orientation detection. DRR 2010: 75340W
2000 – 2009
- 2009
- [c8]Yves Rangoni, Joost van Beusekom, Thomas M. Breuel:
Language independent thresholding optimization using a Gaussian mixture modelling of the character shapes. MOCR@ICDAR 2009: 5 - [c7]Yves Rangoni, Faisal Shafait, Joost van Beusekom, Thomas M. Breuel:
Recognition Driven Page Orientation Detection. ICIP 2009: 1989-1992 - [c6]Aleksander Lodwich, Yves Rangoni, Thomas M. Breuel:
Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons. IJCNN 2009: 1877-1884 - [c5]Yves Rangoni, Faisal Shafait, Thomas M. Breuel:
OCR Based Thresholding. MVA 2009: 98-101 - 2008
- [p1]Abdel Belaïd, Yves Rangoni:
Structure Extraction in Printed Documents Using Neural Approaches. Machine Learning in Document Analysis and Recognition 2008: 21-43 - 2007
- [b1]Yves Rangoni:
Réseau de neurones dynamique perceptif - Application à la reconnaissance de structures logiques de documents. (Dynamic and perceptive neural network applied to document logical structure recognition). Nancy 2 University, France, 2007 - [c4]Abdel Belaïd, Ingrid Falk, Yves Rangoni:
XML Data Representation in Document Image Analysis. ICDAR 2007: 78-82 - 2006
- [c3]Yves Rangoni, Abdel Belaïd:
Document Logical Structure Analysis Based on Perceptive Cycles. Document Analysis Systems 2006: 117-128 - 2005
- [c2]Yves Rangoni, Abdel Belaïd:
Data categorization for a context return applied to logical document structure recognition. ICDAR 2005: 297-301 - 2004
- [c1]Abdel Belaïd, I. Turcan, Jean-Marie Pierrel, Yolande Belaïd, Yves Rangoni, Hassen Hadjamar:
Automatic Indexing and Reformulation of Ancient Dictionaries. DIAL 2004: 342-354
Coauthor Index
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