Felix M. Riese

About Felix M. Riese

Felix M. Riese, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of Machine learning, remote sensing, hyperspectral imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transparent exploration of machine learning for biomarker discovery from proteomics and omics data

Using patient-reported quality of life outcomes to assess the validity of smartphone-based remote assessment of motor and cognitive performance in manifest Huntington’s disease …

Integrated water management solutions in the Lurín Catchment, Lima, Peru: supporting United Nations' Sustainable Development Goal 6: final report of the joint project TRUST

Deep learning for land cover change detection

Development and Applications of Machine Learning Methods for Hyperspectral Data

HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques

Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019

LUCAS Soil Texture Processing Scripts

Felix M. Riese Information

University

Position

Researcher

Citations(all)

454

Citations(since 2020)

444

Cited By

123

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Felix M. Riese Skills & Research Interests

Machine learning

remote sensing

hyperspectral imaging

Top articles of Felix M. Riese

Transparent exploration of machine learning for biomarker discovery from proteomics and omics data

Journal of Proteome Research

2022/11/25

Using patient-reported quality of life outcomes to assess the validity of smartphone-based remote assessment of motor and cognitive performance in manifest Huntington’s disease …

2021/9/1

Integrated water management solutions in the Lurín Catchment, Lima, Peru: supporting United Nations' Sustainable Development Goal 6: final report of the joint project TRUST

2021

Deep learning for land cover change detection

Remote Sensing

2020/12/28

Development and Applications of Machine Learning Methods for Hyperspectral Data

2020/6

Felix M. Riese
Felix M. Riese

H-Index: 6

HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques

2020

Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019

2020

LUCAS Soil Texture Processing Scripts

2020

Felix M. Riese
Felix M. Riese

H-Index: 6

Supervised, semi-supervised, and unsupervised learning for hyperspectral regression

Hyperspectral image analysis: Advances in machine learning and signal processing

2020

See List of Professors in Felix M. Riese University(Karlsruher Institut für Technologie)

Co-Authors

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