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Cited by 29
A Quadratic Loss Multi-Class SVM for which a Radius–Margin Bound Applies

Efficient Optimization of Multi-class Support Vector Machines with MSVMpack
Emmanuel Didiot, Fabien Lauer
https://doi.org/10.1007/978-3-319-18167-7_3
Book:  Advances in Intelligent Systems and Computing (Modelling, Computation and Optimization in Information Systems and Management Sciences) Volume 360 (2015), p. 23
Clinical and Biomedical Spectroscopy and Imaging IV
F. Abdat, M. Amouroux, Y. Guermeur, W. Blondel
https://doi.org/10.1364/ECBO.2015.95370F
Conference:  (2015), p. 95370F
Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction
Fabienne Thomarat, Fabien Lauer, Yann Guermeur
https://doi.org/10.1007/978-3-642-34123-6_15
Book:  Lecture Notes in Computer Science (Pattern Recognition in Bioinformatics) Volume 7632 (2012), p. 166
Model Selection for the ℓ2-SVM by Following the Regularization Path
Rémi Bonidal, Samy Tindel, Yann Guermeur
https://doi.org/10.1007/978-3-642-54455-2_4
Book:  Lecture Notes in Computer Science (Transactions on Computational Intelligence XIII) Volume 8342 (2014), p. 83
Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction
Yann Guermeur, Fabienne Thomarat
https://doi.org/10.1007/978-3-642-24855-9_23
Book:  Lecture Notes in Computer Science (Pattern Recognition in Bioinformatics) Volume 7036 (2011), p. 260
Network Intrusion Detection Based on Multi-Class Support Vector Machine
Anh Vu Le, Hoai An Le Thi, Manh Cuong Nguyen, Ahmed Zidna
https://doi.org/10.1007/978-3-642-34630-9_55
Book:  Lecture Notes in Computer Science (Computational Collective Intelligence. Technologies and Applications) Volume 7653 (2012), p. 536
Using Probabilistic Direct Multi-class Support Vector Machines to Improve Mental States Based-Brain Computer Interface
Mounia Hendel, Fatiha Hendel
https://doi.org/10.1007/978-3-030-03577-8_35
Book:  Smart Innovation, Systems and Technologies (Information Systems and Technologies to Support Learning) Volume 111 (2019), p. 321
A Generic Approach to Biological Sequence Segmentation Problems: Application to Protein Secondary Structure Prediction
Yann Guermeur, Fabien Lauer
https://doi.org/10.1002/9781119078845.ch7
Book:  (2015), p. 114
2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)
Seyyedeh Marziyeh Hamedi, Hossein Ebrahimpour Komleh
https://doi.org/10.1109/KBEI.2015.7436162
Conference:  (2015), p. 897
Classification
Fabien Lauer, Gérard Bloch
https://doi.org/10.1007/978-3-030-00193-3_3
Book:  Lecture Notes in Control and Information Sciences (Hybrid System Identification) Volume 478 (2019), p. 59
2018 15th International Multi-Conference on Systems, Signals & Devices (SSD)
Hendel Mounia, Hendel Fatiha
https://doi.org/10.1109/SSD.2018.8570468
Conference:  (2018), p. 486
A Fisher consistent multiclass loss function with variable margin on positive examples
Irene Rodriguez-Lujan, Ramon Huerta
https://doi.org/10.1214/15-EJS1073
Journal:  Electronic Journal of Statistics Volume 9, Issue 2 (2015)
A MULTI-CLASS SUPPORT VECTOR MACHINE: THEORY AND MODEL
MINGHE SUN
https://doi.org/10.1142/S0219622013500338
Journal:  International Journal of Information Technology & Decision Making Volume 12, Issue 06 (2013), p. 1175
Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities
Yann Guermeur
https://doi.org/10.1080/03610926.2013.776081
Journal:  Communications in Statistics - Theory and Methods Volume 42, Issue 16 (2013), p. 3011
Comments on: Support Vector Machines Maximizing Geometric Margins for Multi-class Classification
Yann Guermeur
https://doi.org/10.1007/s11750-014-0340-1
Journal:  TOP Volume 22, Issue 3 (2014), p. 844
Effect of simple ensemble methods on protein secondary structure prediction
Hafida Bouziane, Belhadri Messabih, Abdallah Chouarfia
https://doi.org/10.1007/s00500-014-1355-0
Journal:  Soft Computing Volume 19, Issue 6 (2015), p. 1663
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
Chuanze Kang, Yanhao Huo, Lihui Xin, Baoguang Tian, Bin Yu
https://doi.org/10.1016/j.jtbi.2018.12.010
Journal:  Journal of Theoretical Biology Volume 463 (2019), p. 77
Feature selection for multiclass support vector machines
F.Z. Aazi, R. Abdesselam, B. Achchab, A. Elouardighi
https://doi.org/10.3233/AIC-160707
Journal:  AI Communications Volume 29, Issue 5 (2016), p. 583
Hybrid feature selection and SVM-based classification for mouse skin precancerous stages diagnosis from bimodal spectroscopy
F. Abdat, M. Amouroux, Y. Guermeur, W. Blondel
https://doi.org/10.1364/OE.20.000228
Journal:  Optics Express Volume 20, Issue 1 (2012), p. 228
Hybrid self organizing map and probabilistic quadratic loss multi-class support vector machine for mental tasks classification
Mounia Hendel, Abdelkader Benyettou, Fatiha Hendel
https://doi.org/10.1016/j.imu.2016.09.001
Journal:  Informatics in Medicine Unlocked Volume 4 (2016), p. 1
Intelligent emotion and behavior based on topological consciousness and adaptive resonance theory in a companion robot
Sakmongkon Chumkamon, Eiji Hayashi, Masato Koike
https://doi.org/10.1016/j.bica.2016.09.004
Journal:  Biologically Inspired Cognitive Architectures Volume 18 (2016), p. 51
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines
Alejandro Rosales-Perez, Salvador Garcia, Hugo Terashima-Marin, Carlos A. Coello Coello, Francisco Herrera
https://doi.org/10.1109/MCI.2018.2806997
Journal:  IEEE Computational Intelligence Magazine Volume 13, Issue 2 (2018), p. 18
Multiclass optimal classification trees with SVM-splits
Víctor Blanco, Alberto Japón, Justo Puerto
https://doi.org/10.1007/s10994-023-06366-1
Journal:  Machine Learning Volume 112, Issue 12 (2023), p. 4905
Optimal arrangements of hyperplanes for SVM-based multiclass classification
Víctor Blanco, Alberto Japón, Justo Puerto
https://doi.org/10.1007/s11634-019-00367-6
Journal:  Advances in Data Analysis and Classification Volume 14, Issue 1 (2020), p. 175
Reinforced Angle-Based Multicategory Support Vector Machines
Chong Zhang, Yufeng Liu, Junhui Wang, Hongtu Zhu
https://doi.org/10.1080/10618600.2015.1043010
Journal:  Journal of Computational and Graphical Statistics Volume 25, Issue 3 (2016), p. 806
Robust multicategory support vector machines using difference convex algorithm
Chong Zhang, Minh Pham, Sheng Fu, Yufeng Liu
https://doi.org/10.1007/s10107-017-1209-5
Journal:  Mathematical Programming Volume 169, Issue 1 (2018), p. 277
SVM-based multi-state-mapping approach for multi-class classification
Bo Liu, Yanshan Xiao, Longbing Cao
https://doi.org/10.1016/j.knosys.2017.05.011
Journal:  Knowledge-Based Systems Volume 129 (2017), p. 79
Simplex-Based Proximal Multicategory Support Vector Machine
Sheng Fu, Piao Chen, Zhisheng Ye
https://doi.org/10.1109/TIT.2022.3222266
Journal:  IEEE Transactions on Information Theory Volume 69, Issue 4 (2023), p. 2427
Using Generic Direct M-SVM Model Improved by Kohonen Map and Dempster–Shafer Theory to Enhance Power Transformers Diagnostic
Mounia Hendel, Fethi Meghnefi, Mohamed El Amine Senoussaoui, Issouf Fofana, Mostefa Brahami
https://doi.org/10.3390/su152115453
Journal:  Sustainability Volume 15, Issue 21 (2023), p. 15453


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