Yves Grandvalet
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology
- Statistics and Probability top 2%
- Signal Processing top 5%
- Co-authors
- Yoshua BengioStéphane CanuAlain RakotomamonjyFrancis BachStéphane BoucheronChristophe AmbroiseJulien ChiquetFranck Davoine
- Topics
- Statistical Methods and Inference (11 papers)Neural Networks and Applications (8 papers)Face and Expression Recognition (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEStatistics in Medicine
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Yves Grandvalet
42 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 740
- Molecular Biology 180
- Statistics and Probability 163
- Signal Processing 162
Countries citing papers authored by Yves Grandvalet
This map shows the geographic impact of Yves Grandvalet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yves Grandvalet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Grandvalet more than expected).
Fields of papers citing papers by Yves Grandvalet
This network shows the impact of papers produced by Yves Grandvalet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yves Grandvalet. The network helps show where Yves Grandvalet may publish in the future.
Co-authorship network of co-authors of Yves Grandvalet
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Grandvalet. A scholar is included among the top collaborators of Yves Grandvalet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yves Grandvalet. Yves Grandvalet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 25 | |
| 3 | 12 | |
| 4 | 21 | |
| 5 | 18 | |
| 6 | 39 | |
| 7 | 59 | |
| 8 | Support Vector Machines with a Reject Option | 54 |
| 9 | 34 | |
| 10 | A Generative Model for Rhythms | 10 |
| 11 | A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification | 16 |
| 12 | Semi-supervised Learning by Entropy Minimizationbreakdown → | 527 |
| 13 | 2 | |
| 14 | No Unbiased Estimator of the Variance of K-Fold Cross-Validationbreakdown → | 513 |
| 15 | 0 | |
| 16 | Adaptive Scaling for Feature Selection in SVMs | 98 |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage | 36 |
About Yves Grandvalet
Yves Grandvalet is a scholar working on Statistics and Probability, Signal Processing and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Neural Networks and Applications (8 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (740 citations), Artificial Intelligence (1.2k citations) and Statistics and Probability (163 citations). Yves Grandvalet has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Yoshua Bengio, Stéphane Canu, Alain Rakotomamonjy, Francis Bach, Stéphane Boucheron, Christophe Ambroise, Julien Chiquet, Franck Davoine, Xuhong Li and Marta Avalos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.