Iterative Deep Neighborhood: A Deep Learning Model Which Involves Both Input Data Points and Their Neighbors

Revising recurrent neural networks from a granular perspective

(2019) Francesco Colace et al.   APPLIED SOFT COMPUTING

Using local learning with fuzzy transform: application to short term forecasting problems

(2019) Vincenzo Loia et al.   Fuzzy Optimization and Decision Making

An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

(2018) S. Lokesh et al.   NEURAL COMPUTING & APPLICATIONS

A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system

(2018) Yi Ai et al.   NEURAL COMPUTING & APPLICATIONS

Hopfield network-based approach to detect seam-carved images and identify tampered regions

(2018) Jyh-Da Wei et al.   NEURAL COMPUTING & APPLICATIONS

Deep transfer learning for military object recognition under small training set condition

(2018) Zhi Yang et al.   NEURAL COMPUTING & APPLICATIONS

Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition

(2018) et al.   SENSORS

Sky Detection in Hazy Image

(2018) Yingchao Song et al.   SENSORS

Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles

(2018) Duona Zhang et al.   SENSORS

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

(2018) Juan Sandino et al.   SENSORS

Deep imitation learning for 3D navigation tasks

(2017) Ahmed Hussein et al.   NEURAL COMPUTING & APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Hyperspectral image classification via contextual deep learning

(2015) Xiaorui Ma et al.   EURASIP Journal on Image and Video Processing