Eléments de l'association
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List of bibliographic references
Number of relevant bibliographic references: 58.| Ident. | Authors (with country if any) | Title |
|---|---|---|
| 000177 | Yann Guermeur [France] ; Fabien Lauer [France] | A generic approach to biological sequence segmentation problems, application to protein secondary structure prediction |
| 000492 | Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Multidimensional spectroscopic data fusion improves precancerous tissue discrimination based on spatially resolved autofluorescence and diffuse reflectance spectroscopy |
| 000A76 | Walter Blondel [France] ; Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] | Spatially resolved multimodal in vivo spectroscopy data fusion for discriminating precancerous states |
| 000B61 | Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Spectroscopie multimodalités in vivo: impact de la stratégie de fusion des données résolues spatialement sur la discrimination entre les stades précancéreux |
| 000D72 | Yann Guermeur [France] | Comments on: Support vector machines maximizing geometric margins for multi-class classification |
| 000F64 | Matthieu Geist [France] ; Edouard Klein [France] ; Bilal Piot [France] ; Yann Guermeur [France] ; Olivier Pietquin [France] | Around Inverse Reinforcement Learning and Score-based Classification |
| 001206 | Faiza Abdat [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Spectroscopie d'autofluorescence in vivo résolue spatialement : multiclassification SVM d'états précancéreux améliorée par fusion de sources |
| 001753 | Rémi Bonidal [France] ; Samy Tindel [France] ; Yann Guermeur [France] | Model Selection for the l2-SVM by Following the Regularization Path |
| 001A63 | Walter Blondel [France] ; Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] | Spatially resolved multimodality spectroscopy for in vivo diagnosis of skin precancer: recent developments in data extraction and classification |
| 001A86 | Rémi Bonidal [France] ; Fabienne Thomarat [France] ; Yann Guermeur [France] | Estimating the class posterior probabilities in biological sequence segmentation |
| 001B52 | Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Spectroscopie d'AutoFluorescence in vivo résolue spatialement : multiclassification SVM d'états précancéreux améliorée par fusion de sources |
| 001C16 | Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Diagnostic in vivo et classification automatique d'états précancéreux cutanés par spectroscopie d'autofluorescence résolue spatialement |
| 001C54 | Abdat Faiza [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | Hybrid feature selection and SVM-based classification for mouse skin precancerous stages diagnosis from bimodal spectroscopy |
| 001E98 | Yann Guermeur [France] | A generic model of multi-class support vector machine |
| 001F40 | Fabienne Thomarat [France] ; Fabien Lauer [France] ; Yann Guermeur [France] | Cascading discriminant and generative models for protein secondary structure prediction |
| 001F49 | Yann Guermeur [France] | A Generic Model of Multi-class Support Vector Machine |
| 002029 | Yann Guermeur [France] ; Fabienne Thomarat [France] | Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction |
| 002346 | Faiza Abdat [France] ; Marine Amouroux [France] ; Yann Guermeur [France] ; Walter Blondel [France] | DCT-SVM based multi-classification of mouse skin precancerous stages from autofluorescence and diffuse reflectance spectra |
| 002512 | Fabien Lauer [France] ; Yann Guermeur [France] | MSVMpack: a Multi-Class Support Vector Machine Package |
| 002706 | Yann Guermeur [France] ; Fabienne Thomarat [France] | Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction |
| 002888 | Yann Guermeur [France] ; Emmanuel Monfrini [France] | A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies |
| 002A99 | Yann Guermeur [France] ; Fabienne Thomarat [France] | New cascade architecture for protein secondary structure prediction |
| 003170 | Yann Guermeur [France] | Sample Complexity of Classifiers Taking Values in |
| 003249 | Yann Guermeur [France] | Ensemble Methods of Appropriate Capacity for Multi-Class Support Vector Machines |
| 003512 | Yann Guermeur [France] ; Emmanuel Monfrini [France] | Radius-margin bound on the leave-one-out error of the LLW-M-SVM |
| 003738 | Yann Guermeur [France] | Etude comparée des performances de SVM multi-classes en prédiction de la structure secondaire des protéines |
| 003D00 | Hafida Bouziane-Chouarfia [Algérie] ; Belhadri Messabih [Algérie] ; Yann Guermeur [France] ; Abdellah Chouarfia [Algérie] | Approach based on artificial neural networks for protein secondary structure prediction |
| 004050 | Emmanuel Monfrini [France] ; Yann Guermeur [France] | A Quadratic Loss Multi-Class SVM |
| 004213 | Bernhard Gschloessl [France] ; Yann Guermeur [France] ; J Mark Cock [France] | HECTAR: A method to predict subcellular targeting in heterokonts |
| 004643 | Yann Guermeur [France] | Multi-Class SVMs, Theory and Applications |
| 004671 | Yann Guermeur [France] | VC theory of large margin multi-category classifiers |
| 004E38 | Yann Guermeur [France] | Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q |
| 005272 | Nicolas Sapay [France] ; Yann Guermeur [France] ; Gilbert Deléage [France] | Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier |
| 005682 | Yann Guermeur [France] ; Olivier Teytaud [France] | Estimation et contrôle des performances en généralisation des réseaux de neurones |
| 005A23 | Yann Guermeur [France] ; Myriam Maumy [France] ; Frédéric Sur [France] | Model selection for multi-class SVMs |
| 006315 | Yann Guermeur [France] ; André Elisseeff [Allemagne] ; Dominique Zelus [Argentine] | A comparative study of multi‐class support vector machines in the unifying framework of large margin classifiers |
| 006441 | Khalid Benabdeslem [France] ; Christophe Geourjon [France] ; Yann Guermeur [France] ; Nicolas Sapay [France] | Apprentissage automatique: Application à la prédiction de la structure secondaire et tertiaire des protéines |
| 006477 | Yannick Darcy [France] ; Yann Guermeur [France] | Radius-margin Bound on the Leave-one-out Error of Multi-class SVMs |
| 006D39 | Yann Guermeur [France] | Large Margin Multi-category Discriminant Models and Scale-sensitive Psi-dimensions |
| 007120 | Yann Guermeur [France] ; Alain Lifchitz [France] ; Régis Vert [France] | A Kernel for Protein Secondary Structure Prediction |
| 007459 | Yann Guermeur [France] ; Gianluca Pollastri ; André Elisseeff ; Dominique Zelus ; Hélène Paugam-Moisy ; Pierre Baldi | Combining Protein Secondary Structure Prediction Models with Ensemble Methods of Optimal Complexity |
| 007460 | Yann Guermeur [France] ; André Elisseeff [États-Unis] ; Dominique Zelus | Bounds on the Risk for M-SVMs |
| 007C20 | Emmanuel Gothié [France] ; Yann Guermeur [France] ; Sébastien Muller ; Christiane Branlant ; Alexander Bockmayr [France] | Recherche des gènes d'ARN non codant |
| 007F39 | Emmanuel Gothié [France] ; Yann Guermeur [France] ; Fabrice Leclerc [France] ; Christiane Branlant [France] ; Alexander Bockmayr [France] | Analyse des Séquences InterORF chez les Levures - Application à la Recherche des petits ARN |
| 008031 | Damien Eveillard [France] ; Yann Guermeur [France] | Traitement statistique des résultats SELEX |
| 008B74 | Yann Guermeur [France] ; André Elisseeff ; Dominique Zelus | Bounding the Capacity Measure of Multi-Class Discriminant Models |
| 008B75 | Yann Guermeur [France] ; André Elisseeff ; Dominique Zelus | Bound on the Risk for M-SVMs |
| 008C04 | Yann Guermeur [France] | A Simple Unifying Theory of Multi-Class Support Vector Machines |
| 009622 | André Elisseeff ; Yann Guermeur [France] ; Hélène Paugam-Moisy | Margin Error and Generalization Capabilities of Multi-Class Discriminant Systems |
| 009676 | Yann Guermeur [France] ; Dominique Zelus | Combining Protein Secondary Structure Prediction Models with Ensemble Methods of Optimal Complexity |
| 009F92 | Hélène Paugam-Moisy [France] ; André Elisseeff [France] ; Yann Guermeur [France] | Generalization performance of multiclass discriminant models |
| 00A004 | Yann Guermeur [France] ; André Elisseeff [France] ; Hélène Paugam-Moisy [France] | A new multi-class SVM based on a uniform convergence result |
| 00A009 | Hélène Paugam-Moisy ; André Elisseeff ; Yann Guermeur [France] | Generalization performance of multi-class discriminant models |
| 00A187 | André Elisseeff [France] ; Yann Guermeur [France] ; Hélène Paugam-Moisy | Margin error and generalization capabilities of multiclass discriminant systems |
| 00A256 | Yann Guermeur [France] ; Dominique Zelus [France] | Combining Protein Secondary Structure Prediction Methods with a new Multi-Category SVM |
| 00A257 | Yann Guermeur [France] | Combining Discriminant Models with new Multi-Class SVMs |
| 00A291 | Yann Guermeur [France] ; André Elisseeff ; Hélène Paugam-Moisy | A new multi-class SVM based on a uniform convergence result |
| 00A326 | André Elisseeff ; Hélène Paugam-Moisy ; Yann Guermeur [France] | Risque garanti pour les modèles de discrimination multi-classes |
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