Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

A heuristics approach to mine behavioural data logs in mobile malware detection system

(2018) Giang Nguyen et al.   DATA & KNOWLEDGE ENGINEERING

Distributed nearest neighbor classification for large-scale multi-label data on spark

(2018) Jorge Gonzalez-Lopez et al.   Future Generation Computer Systems-The International Journal of eScience

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Deep learning in biomedicine

(2018) Michael Wainberg et al.   NATURE BIOTECHNOLOGY

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

(2017) Isaac Triguero et al.   International Journal of Computational Intelligence Systems

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets

(2017) Maciej Wielgosz et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

A survey on graphic processing unit computing for large-scale data mining

(2017) Alberto Cano   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark

(2017) Sergio Ramirez-Gallego et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Sensitivity analysis on HPC systems with Scalarm platform

(2016) Daniel Bachniak et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Rethinking big data: A review on the data quality and usage issues

(2016) Jianzheng Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Rotation-invariant convolutional neural networks for galaxy morphology prediction

(2015) Sander Dieleman et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology