Author

Khawla Seddiki

Inserm

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Organism:rat· 1

Frequent Co-Authors

Arnaud DroitiD· 1 shared Fŕed́eric PreciosoiD· 1 shared Isabelle FournieriD· 1 shared Maxence WisztorskiiD· 1 shared Michel SalzetiD· 1 shared Nina OgrinciD· 1 shared Philippe SaudemontiD· 1 shared

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2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Arnaud DroitORCID

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1 paper

Recent·Most cited

Towards CNN Representations for Small Mass Spectrometry Data Classification: From Transfer Learning to Cumulative Learning

Khawla Seddiki, Philippe Saudemont, Fŕed́eric Precioso, Nina Ogrinc, Maxence Wisztorski, Michel Salzet, Isabelle Fournier, Arnaud Droit

The paper develops a cumulative learning approach for classifying small mass spectrometry datasets using 1D-CNNs, achieving high accuracy across diverse biological contexts.

bioRxiv · Mar 24, 2020 · PreprintBioinformatics