Personal Information
Organización/Lugar de trabajo
Austria area Austria
Ocupación
Researcher at Johannes Kepler University
Sector
Education
Sitio web
www.cp.jku.at/people/eghbal-zadeh/
Etiquetas
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
Ver más
Presentaciones
(6)Recomendaciones
(9)Tutorial of GANs in Gifu Univ
Shunsuke NAKATSUKA
•
Hace 6 años
Synthetic Gradients Tutorial
Aurélien Géron
•
Hace 6 años
Paris ML meetup
Yves Raimond
•
Hace 8 años
Introduction to Capsule Networks (CapsNets)
Aurélien Géron
•
Hace 6 años
Accelerating Science with Generative Adversarial Networks
Michela Paganini
•
Hace 6 años
Understanding Black-box Predictions via Influence Functions (2017)
Terry Taewoong Um
•
Hace 6 años
Deep Learning for Recommender Systems - Budapest RecSys Meetup
Alexandros Karatzoglou
•
Hace 7 años
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
Hace 8 años
I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION
Hamid Eghbal-zadeh
•
Hace 8 años
Personal Information
Organización/Lugar de trabajo
Austria area Austria
Ocupación
Researcher at Johannes Kepler University
Sector
Education
Sitio web
www.cp.jku.at/people/eghbal-zadeh/
Etiquetas
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
Ver más