Michaël Aupetit
About
Michaël Aupetit has authored 38 papers that have received a total of 710 indexed citations.
This includes 22 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 7 papers in Signal Processing. The topics of these papers are Data Visualization and Analytics (9 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (5 papers). Michaël Aupetit is often cited by papers focused on Data Visualization and Analytics (9 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (5 papers) and collaborates with scholars based in France, Qatar and United States. Michaël Aupetit's co-authors include Meghna Singh, Raghvendra Mall, Halima Bensmail, Michael Sedlmair and Luis Fernández-Luque and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Neural Networks
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