Related references
Note: Only part of the references are listed.A novel unsupervised deep learning model for global and local health condition assessment of structures
Mohammad Hossein Rafiei et al.
ENGINEERING STRUCTURES (2018)
A survey on deep learning for big data
Qingchen Zhang et al.
INFORMATION FUSION (2018)
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
D. Martin et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Antonio Brunetti et al.
NEUROCOMPUTING (2018)
Benchmarking the GPU memory at the warp level
Minquan Fang et al.
PARALLEL COMPUTING (2018)
Competitive probabilistic neural network
Yasha Zeinali et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2017)
Layer multiplexing FPGA implementation for deep back-propagation learning
Francisco Ortega-Zamorano et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2017)
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions
Michal Koziarski et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2017)
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia
Francesco Carlo Morabito et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2017)
Toolkits and Libraries for Deep Learning
Bradley J. Erickson et al.
JOURNAL OF DIGITAL IMAGING (2017)
Electricity consumption prediction using a neural-network-based grey forecasting approach
Yi-Chung Hu
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Structural Damage Detection with Automatic Feature-Extraction through Deep Learning
Yi-zhou Lin et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network
Allen Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
A GPU deep learning metaheuristic based model for time series forecasting
Igor M. Coelho et al.
APPLIED ENERGY (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Deep-Learning Architectures to Forecast Bus Ridership at the Stop and Stop-To-Stop Levels for Dense and Crowded Bus Networks
Junghan Baek et al.
APPLIED ARTIFICIAL INTELLIGENCE (2016)
Energy Forecasting for Event Venues: Big Data and Prediction Accuracy
Katarina Grolinger et al.
ENERGY AND BUILDINGS (2016)
Deep learning architecture for air quality predictions
Xiang Li et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2016)
A Chebyshev polynomial radial basis function neural network for automated shoreline extraction from coastal imagery
Anastasios Rigos et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2016)
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease
Andres Ortiz et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2016)
A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
Mohammad Hossein Rafiei et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)
A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
Mohammad Hossein Rafiei et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
Ricardo L. Talavera-Llames et al.
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (2016)
Deep learning for estimating building energy consumption
Elena Mocanu et al.
SUSTAINABLE ENERGY GRIDS & NETWORKS (2016)
A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting
Francisco Maritnez-Alvarez et al.
ENERGIES (2015)
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
Maria Martinez-Ballesteros et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2015)
Distributed One-Class Support Vector Machine
Enrique Castillo et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2015)
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds
Antoine Deleforge et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2015)
A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control
Francesco Donnarumma et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Time series forecasting using a deep belief network with restricted Boltzmann machines
Takashi Kuremoto et al.
NEUROCOMPUTING (2014)
Using Recurrent Artificial Neural Networks to Forecast Household Electricity Consumption
Antonino Marvuglia et al.
2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE) (2012)
Share Paper
