Author

Philippe Fortemps

University of MonsORCID 0000-0002-2831-105XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1

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Bradford Clark DickersoniD· 1 shared Fabian LecroniD· 1 shared Ghofrane MerhbeneiD· 1 shared Mascha Kurpicz-BrikiiD· 1 shared Neguine RezaiiiD· 1 shared

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1 shared paperNeuroscience

Bradford Clark DickersonORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintFeb 19, 2025

Detecting Primary Progressive Aphasia (PPA) from Text: A Benchmarking Study

Ghofrane Merhbene, Fabian Lecron, Philippe Fortemps…·Neguine Rezaii

This study benchmarks machine learning models for classifying PPA subtypes from speech, finding that traditional classifiers with embeddings are competitive with transformer-based models.

3 citations

machine learning (classical)transformer / foundation model

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