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Artificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I (source)
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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detection
Zoljodi, Ali
;
Loni, Mohammad
;
Abadijou, Sadegh
;
Alibeigi, Mina
;
Daneshtalab, Masoud
Artificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I
2022
/
p. 404-415
https://doi.org/10.1007/978-3-031-15919-0_34
Conference Proceedings at scopus
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keyword
48
1.
artificial neural networks
2.
artificial neural networks (ANN)
3.
constrained artificial neural networks
4.
artificial neural network
5.
neural machine translation
6.
Biological neural networks
7.
Complex-valued neural networks
8.
Constrained neural networks
9.
convolutional neural networks
10.
convolutional neural networks (CNNa)
11.
Convolutional Neural Networks (CNNs)
12.
deep neural networks
13.
deep neural networks (DNNs)
14.
Fuzzy neural networks
15.
graph neural networks
16.
multilayer neural networks
17.
neural networks
18.
neural-networks
19.
pre-trained neural networks
20.
recurrent neural networks
21.
recurrent neural networks (RNN)
22.
recurrent neural networks (RNNs)
23.
spiking neural networks
24.
Artificial Intelligence in learning
25.
learning (artificial intelligence)
26.
adversarial machine learning
27.
adversarial machine-learning
28.
automatic machine learning (autoML)
29.
data analytics and machine learning
30.
explainable machine learning
31.
graph machine learning
32.
interpretable machine learning
33.
machine learning
34.
machine learning (ML)
35.
machine learning algorithms
36.
machine learning approach
37.
Machine Learning Explainable model
38.
machine learning for environmental applications
39.
machine learning models
40.
machine learning systems
41.
machine-learning
42.
machine-learning predictive model
43.
Parkinson’s disease machine learning
44.
robust machine learning
45.
small data machine learning
46.
supervised machine learning
47.
unsupervised machine learning
48.
machine-to-machine communications
author
1
1.
ELIXIR Machine Learning Focus Group
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