Author

Matti Karppa

Chalmers University of TechnologyORCID 0000-0002-9381-8949Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Alexandra-Stefania MihaiiD· 1 shared Hadi Abbasi· 1 shared Oana GemaniD· 1 shared Octavian Adrian PostolacheiD· 1 shared Roxana TodereaniD· 1 shared Sara SharghilavaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Alexandra-Stefania MihaiORCID

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1 paper

Recent·Most cited

Application of Explainable AI in Neuroscience: Enhancing Autism Screening

Oana Geman, Sara Sharghilavan, Hadi Abbasi, Roxana Toderean, Octavian Adrian Postolache, Alexandra-Stefania Mihai, Matti Karppa

This paper applies a ResNet+BiLSTM hybrid model with explainable AI techniques to classify autism spectrum disorder using EEG data, achieving accurate classification and transparent feature explanations.

bioRxiv · Feb 16, 2026 · PreprintNeuroscience