A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data

Anis Fradi; Chafik Samir

doi:10.1007/978-3-031-70341-6_24

Journal Articles European Conference (ECML-PKDD) Year : 2024

A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data

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Anis Fradi

Function : Author
PersonId : 793009
ORCID : 0000-0002-4333-2318

Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Université Lumière - Lyon 2 - Institut de la communication

Chafik Samir

Function : Author

Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

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https://hal.science/hal-04682899

Submitted on : Saturday, August 31, 2024-12:42:49 PM

Last modification on : Thursday, September 5, 2024-3:17:19 AM

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hal-04682899 , version 1 (31-08-2024)

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HAL Id : hal-04682899 , version 1
DOI : 10.1007/978-3-031-70341-6_24

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Anis Fradi, Chafik Samir. A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data. European Conference (ECML-PKDD), 2024, Lecture Notes in Computer Science, 14941, pp.406-421. ⟨10.1007/978-3-031-70341-6_24⟩. ⟨hal-04682899⟩

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