Personal Information
Unternehmen/Arbeitsplatz
Austria area Austria
Beruf
Researcher at Johannes Kepler University
Branche
Education
Webseite
www.cp.jku.at/people/eghbal-zadeh/
Tags
machine learning
deep learning
music information retrieval
audio scene classification
i-vectors
representation learning
audio processing
robustness
cnns
convolutional neural networks
covariance analysis
nips2018
nips
irasl
neurips2018
neurips
ismir-2018
music generation
pose estimation
dance recognition
generative adversarial network
generative art
score fusion
eusipco2017
factor analysis
classification
music artist recognition
music artist classification
music similarity
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Präsentationen
(6)Gefällt mir
(9)Tutorial of GANs in Gifu Univ
Shunsuke NAKATSUKA
•
Vor 6 Jahren
Synthetic Gradients Tutorial
Aurélien Géron
•
Vor 6 Jahren
Paris ML meetup
Yves Raimond
•
Vor 8 Jahren
Introduction to Capsule Networks (CapsNets)
Aurélien Géron
•
Vor 6 Jahren
Accelerating Science with Generative Adversarial Networks
Michela Paganini
•
Vor 6 Jahren
Understanding Black-box Predictions via Influence Functions (2017)
Terry Taewoong Um
•
Vor 6 Jahren
Deep Learning for Recommender Systems - Budapest RecSys Meetup
Alexandros Karatzoglou
•
Vor 7 Jahren
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
Vor 8 Jahren
I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION
Hamid Eghbal-zadeh
•
Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Austria area Austria
Beruf
Researcher at Johannes Kepler University
Branche
Education
Webseite
www.cp.jku.at/people/eghbal-zadeh/
Tags
machine learning
deep learning
music information retrieval
audio scene classification
i-vectors
representation learning
audio processing
robustness
cnns
convolutional neural networks
covariance analysis
nips2018
nips
irasl
neurips2018
neurips
ismir-2018
music generation
pose estimation
dance recognition
generative adversarial network
generative art
score fusion
eusipco2017
factor analysis
classification
music artist recognition
music artist classification
music similarity
Mehr anzeigen