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Fully convolutional networks for semantic segmentation

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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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Representation Learning: A Review and New Perspectives

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Deep Residual Learning for Image Recognition

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Deep learning for time series classification: a review

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Learning Hierarchical Features for Scene Labeling

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Convolutional networks and applications in vision

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Practical Recommendations for Gradient-Based Training of Deep Architectures

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Inceptiontime: finding alexnet for time series classification

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Big data deep learning: Challenges and perspectives

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Machine Learning for Molecular Simulation

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Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

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A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

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Neural Network Methods for Natural Language Processing

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Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

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Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

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Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

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Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

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Can deep learning improve genomic prediction of complex human traits?

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Star–galaxy classification using deep convolutional neural networks

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Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

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Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering

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Radio Galaxy Zoo: compact and extended radio source classification with deep learning

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A Survey of Deep Learning Applications to Autonomous Vehicle Control

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Trace-based Intelligent Fault Diagnosis for Microservices with Deep Learning

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