Gilles Gasso

1.1k total citations
29 papers, 659 citations indexed

About

Gilles Gasso is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Gilles Gasso has authored 29 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Gilles Gasso's work include Sparse and Compressive Sensing Techniques (5 papers), Face and Expression Recognition (5 papers) and Machine Learning and Algorithms (4 papers). Gilles Gasso is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Face and Expression Recognition (5 papers) and Machine Learning and Algorithms (4 papers). Gilles Gasso collaborates with scholars based in France, United Kingdom and Russia. Gilles Gasso's co-authors include Alain Rakotomamonjy, Stéphane Canu, Rémi Flamary, Romain Hérault, Gian Luca Marcialis, Imad Rida, Eric Laloy, Niklas Linde, Diederik Jacques and Laëtitia Chapel and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Gilles Gasso

27 papers receiving 631 citations

Peers

Gilles Gasso

CM

CVPR

SP

AI

BE

Anita Faul United Kingdom

Zaidao Wen China

Debing Zhang China

Václav Skala Czechia

Yao Hu China

Xiangyu Chang China

Reza Parhizkar Switzerland

Juri Ranieri Switzerland

Dongpo Xu China

Wenli Xu China

Anita Faul United Kingdom

Gilles Gasso

213 ×1.0

CM

139 ×0.7

CVPR

121 ×0.6

SP

155 ×0.9

AI

73 ×1.0

BE

Citations per year, relative to Gilles Gasso Gilles Gasso (= 1×) peers Anita Faul

Countries citing papers authored by Gilles Gasso

Since Specialization

Citations

This map shows the geographic impact of Gilles Gasso'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 Gilles Gasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilles Gasso more than expected).

Fields of papers citing papers by Gilles Gasso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilles Gasso. 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 Gilles Gasso. The network helps show where Gilles Gasso may publish in the future.

Co-authorship network of co-authors of Gilles Gasso

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Gasso. A scholar is included among the top collaborators of Gilles Gasso 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 Gilles Gasso. Gilles Gasso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Hérault, Romain, et al.. (2025). Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. Computer Vision and Image Understanding. 253. 104305–104305. 1 indexed citations

2.

Pacheco, Fannia, et al.. (2025). Universal Domain Adaptation Benchmark for Time Series Data Representation. ArXiv.org. 1109–1113.

3.

Guériau, Maxime, et al.. (2024). Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. 1564–1571.

4.

Chatelain, Clément, et al.. (2024). End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. IEEE Transactions on Intelligent Transportation Systems. 25(8). 8949–8959. 1 indexed citations

5.

Aïnouz, Samia, et al.. (2022). Physically-admissible polarimetric data augmentation for road-scene analysis. Computer Vision and Image Understanding. 222. 103495–103495. 2 indexed citations

6.

Hérault, Romain, et al.. (2022). Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Computers in Biology and Medicine. 143. 105193–105193. 4 indexed citations

7.

Vincent, Emmanuel, et al.. (2022). On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 17. 631–635. 3 indexed citations

8.

Zitouni, Djamel, et al.. (2021). From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. Applied Intelligence. 52(1). 71–80. 7 indexed citations

9.

Chapel, Laëtitia, et al.. (2020). Partial Optimal Tranport with applications on Positive-Unlabeled Learning. Neural Information Processing Systems. 33. 2903–2913. 19 indexed citations

10.

Hérault, Romain, et al.. (2020). Pixel-wise Conditioned Generative Adversarial Networks for Image\n Synthesis and Completion. arXiv (Cornell University). 6 indexed citations

11.

Laloy, Eric, et al.. (2019). Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?. Computers & Geosciences. 133. 104333–104333. 55 indexed citations

12.

Zhu, Yachen, et al.. (2013). Emotional Influence on SSVEP Based BCI. 859–864. 5 indexed citations

13.

Gasso, Gilles, et al.. (2011). A Multi-kernel Framework for Inductive Semi-supervised Learning.. The European Symposium on Artificial Neural Networks. 2 indexed citations

14.

Rakotomamonjy, Alain, Rémi Flamary, Gilles Gasso, & Stéphane Canu. (2011). $\ell_{p}-\ell_{q}$ Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Transactions on Neural Networks. 22(8). 1307–1320. 64 indexed citations

15.

Gasso, Gilles, Alain Rakotomamonjy, & Stéphane Canu. (2009). Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming. IEEE Transactions on Signal Processing. 57(12). 4686–4698. 208 indexed citations

16.

Gärtner, Thomas, et al.. (2008). Regularization path for Ranking SVM.. The European Symposium on Artificial Neural Networks. 415–420. 4 indexed citations

17.

Gasso, Gilles, et al.. (2008). New methods for the identification of a stable subspace model for dynamical systems. 15. 432–437. 6 indexed citations

18.

Gasso, Gilles, et al.. (2007). Regularization Paths for nu -SVM and nu -SVR.. 486–496. 1 indexed citations

19.

Gasso, Gilles, et al.. (2007). Estimation of Tangent Planes for Neighborhood Graph Correction. The European Symposium on Artificial Neural Networks. 397–402. 2 indexed citations

20.

Gasso, Gilles, et al.. (2007). Sparsity regularization path for semi-supervised SVM. 7. 25–30. 3 indexed citations

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.

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