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Aythami Morales · Study

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Aythami Morales

5 works· latest 2023· 1 institutionscluster: provisionalORCID 0000-0002-7268-4785

h-index5

i105

Citations250

Works here5

20

21

23

Most cited in this library

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics2021 · 73 citations
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment2020 · 68 citations
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment2023 · 55 citations
Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video2021 · 41 citations
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma2023 · 13 citations

Works

5 shown

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment

SN Computer Science·2023·8 authors·Open access

55citations

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma

IEEE Annual International Computer Software and Applications Conference (COMPSAC)·2023·5 authors·other·Open access

13citations

Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2021·5 authors·other

41citations

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition·2021·4 authors·other·Open access

73citations

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2020·4 authors·other·Open access

68citations