E-LIB Suche - Ergebnisse für: Biehl, Michael

1

A Graph-Theory Based fMRI Analysis:

, In: Computational Science – ICCS 2024; Lecture Notes in Computer Science,

Barillaro, Luca ; Milano, Marianna ; Caligiuri, Maria Eugenia... - p. 72-85 , 2024

2

Urine steroid metabolomics as a diagnostic tool in primary ..:

Prete, Alessandro ; Lang, Katharina ; Pavlov, David...
The Journal of Steroid Biochemistry and Molecular Biology. 237 (2024) - p. 106445 , 2024

Link: https://doi.org/10.1016/..

3

Forecasting relative returns for S&P 500 stocks using machi..:

Htun, Htet Htet ; Biehl, Michael ; Petkov, Nicolai
Financial Innovation. 10 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

4

Translating the potential of the urine steroid metabolome t..:

Miller, Hamish ; Harman, David ; Aithal, Guruprasad Padur...
BMJ Open. 14 (2024) 1 - p. e074918 , 2024

Link: https://doi.org/10.1136/..

5

Iterated Relevance Matrix Analysis (IRMA) for the identific..:

Lövdal, Sofie ; Biehl, Michael
Neurocomputing. 577 (2024) - p. 127367 , 2024

Link: https://doi.org/10.1016/..

6

Subspace corrected relevance learning with application in n..:

van Veen, Rick ; Tamboli, Neha Rajendra Bari ; Lövdal, Sofie...
Artificial Intelligence in Medicine. 149 (2024) - p. 102786 , 2024

Link: https://doi.org/10.1016/..

7

The Shallow and the Deep

A biased introduction to neural networks and old school mac... Open textbook library

Biehl, Michael , 2023

Link: https://open.umn.edu/ope..

8

Survey of feature selection and extraction techniques for s..:

Htun, Htet Htet ; Biehl, Michael ; Petkov, Nicolai
Financial Innovation. 9 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

9

OR20-01 Machine Learning-based Steroid Metabolome Analysis ..:

Rocha, Thaís P ; Melson, Eka ; Veen, Roland J...
Journal of the Endocrine Society. 7 (2023) Supplement_1 - p. , 2023

Link: https://doi.org/10.1210/..

10

The Study Process of the IMC Centenary:

Biehl, Michael
International Review of Mission. 111 (2022) 2 - p. 352-359 , 2022

Link: https://doi.org/10.1111/..

11

A Learning Vector Quantization Architecture for Transfer Le..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,

Villmann, Thomas ; Staps, Daniel ; Ravichandran, Jensun... - p. 354-364 , 2022

Link: https://doi.org/10.1007/..

12

FDG-PET combined with learning vector quantization allows c..:

van Veen, Rick ; Meles, Sanne K. ; Renken, Remco J....
Computer Methods and Programs in Biomedicine. 225 (2022) - p. 107042 , 2022

Link: https://doi.org/10.1016/..

13

Complex-Valued Embeddings of Generic Proximity Data:

, In: Lecture Notes in Computer Science; Structural, Syntactic, and Statistical Pattern Recognition,

Münch, Maximilian ; Straat, Michiel ; Biehl, Michael. - p. 14-23 , 2021

Link: https://doi.org/10.1007/..

14

The Statistical Physics of Learning Revisited: Typical Lear..:

, In: Lecture Notes in Computer Science; Brain-Inspired Computing,

Biehl, Michael - p. 128-142 , 2021

Link: https://doi.org/10.1007/..

15

Hidden unit specialization in layered neural networks: ReLU..:

Oostwal, Elisa ; Straat, Michiel ; Biehl, Michael
Physica A: Statistical Mechanics and its Applications. 564 (2021) - p. 125517 , 2021

Link: https://doi.org/10.1016/..