Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Vahid Mirjalili"'
Publikováno v:
IEEE Access, Vol 7, Pp 99735-99745 (2019)
Privacy concerns in the modern digital age have prompted researchers to develop techniques that allow users to selectively suppress certain information in collected data while allowing for other information to be extracted. In this regard, semi-adver
Externí odkaz:
https://doaj.org/article/0b6baa00749f490ab56178325484ecdc
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioral observation of symptomology (DSM-5/ICD-1
Externí odkaz:
https://doaj.org/article/4a7dd8041a8148b3b2a4fd429397a8d8
Autor:
Sebastian Raschka, Vahid Mirjalili
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesThird edition of the bestsell
Autor:
Sebastian Raschka, Vahid Mirjalili
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This BookSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in d
Publikováno v:
IJCB
In this work, we investigate the possibility of generating a grayscale image of the finger vein from its binary template. This exercise would allow us to determine the invertibility of finger vein templates, and this has implications in biometric sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::778f8cc48bae8bb934b8171955075829
https://doi.org/10.1109/ijcb48548.2020.9304866
https://doi.org/10.1109/ijcb48548.2020.9304866
Recent research has established the possibility of deducing soft-biometric attributes such as age, gender and race from an individual's face image with high accuracy. However, this raises privacy concerns, especially when face images collected for bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea431182c511e37a38419a3214183f25
http://arxiv.org/abs/2001.00561
http://arxiv.org/abs/2001.00561
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.
Autor:
Sebastian Raschka, Vahid Mirjalili
Datenanalyse mit ausgereiften statistischen Modellen des Machine Learnings Anwendung der wichtigsten Algorithmen und Python-Bibliotheken wie NumPy, SciPy, Scikit-learn, Keras, TensorFlow 2, Pandas und Matplotlib Best Practices zur Optimierung Ihrer M
Publikováno v:
IEEE Access, Vol 7, Pp 99735-99745 (2019)
Privacy concerns in the modern digital age have prompted researchers to develop techniques that allow users to selectively suppress certain information in collected data while allowing for other information to be extracted. In this regard, Semi-Adver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c50952041bacfab973c8442e264bb2
http://arxiv.org/abs/1905.01388
http://arxiv.org/abs/1905.01388
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics
Mental disorders such as Autism Spectrum Disorders (ASD) are heterogeneous disorders that are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioural observation of symp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba139ad8385c3d92676f9cab76a1818b