Related references
Note: Only part of the references are listed.Deep convolutional neural network architecture design as a bi-level optimization problem
Hassen Louati et al.
NEUROCOMPUTING (2021)
Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability
Karen Andrea Lara Hernandez et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
A kernel-based weight decorrelation for regularizing CNNs
Yanhong Zhang et al.
NEUROCOMPUTING (2021)
A deep learning framework for building energy consumption forecast
Nivethitha Somu et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification
Arshdeep Singh et al.
PATTERN RECOGNITION LETTERS (2020)
Deep learning-based appearance features extraction for automated carp species identification
Ashkan Banan et al.
AQUACULTURAL ENGINEERING (2020)
Robust pruning for efficient CNNs A
Hidenori Ide et al.
PATTERN RECOGNITION LETTERS (2020)
Spatiotemporal Modeling for Nonlinear Distributed Thermal Processes Based on KL Decomposition, MLP and LSTM Network
Yajun Fan et al.
IEEE ACCESS (2020)
Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA
Nour-eddine Joudar et al.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2019)
AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation
Farnaz Hoseini et al.
JOURNAL OF DIGITAL IMAGING (2019)
Recent advances in convolutional neural network acceleration
Qianru Zhang et al.
NEUROCOMPUTING (2019)
Application of deep learning to cybersecurity: A survey
Samaneh Mandavifar et al.
NEUROCOMPUTING (2019)
CLU-CNNs: Object detection for medical images
Zhuoling Li et al.
NEUROCOMPUTING (2019)
A deep learning framework for time series classification using Relative Position Matrix and Convolutional Neural Network
Wei Chen et al.
NEUROCOMPUTING (2019)
Particle swarm optimization of deep neural networks architectures for image classification
Francisco Erivaldo Fernandes Junior et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Transformed l1 regularization for learning sparse deep neural networks
Rongrong Ma et al.
NEURAL NETWORKS (2019)
PSO-based optimized CNN for Hindi ASR
Vishal Passricha et al.
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY (2019)
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
Shahab Shamshirband et al.
IEEE ACCESS (2019)
Optimization of deep convolutional neural network for large scale image retrieval
Cong Bai et al.
NEUROCOMPUTING (2018)
A survey of deep neural network architectures and their applications
Weibo Liu et al.
NEUROCOMPUTING (2017)
A Compact CNN-DBLSTM Based Character Model For Offline Handwriting Recognition with Tucker Decomposition
Haisong Ding et al.
2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1 (2017)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)