A transfer approach with attention reptile method and long-term generation mechanism for few-shot traffic prediction

Multi-scale dilated convolution of convolutional neural network for image denoising

(2019) Yanjie Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning

(2019) Duo Wang et al.   NEUROCOMPUTING

Deep Transfer Learning for Few-Shot SAR Image Classification

(2019) Mohammad Rostami et al.   Remote Sensing

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

Method of predicting human mobility patterns using deep learning

(2018) Dong Yup Kim et al.   NEUROCOMPUTING

Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer

(2018) Yang Guo et al.   NEUROCOMPUTING

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

Traffic flow prediction using LSTM with feature enhancement

(2018) Bailin Yang et al.   NEUROCOMPUTING

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Low Data Drug Discovery with One-Shot Learning

(2017) Han Altae-Tran et al.   ACS Central Science

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Unified Geolocation Framework for Web Videos

(2014) Yicheng Song et al.   ACM Transactions on Intelligent Systems and Technology

Predicting Taxi–Passenger Demand Using Streaming Data

(2013) Luis Moreira-Matias et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS