Sequence embeddings help to identify fraudulent cases in healthcare insurance
Authors: I. Fursov, A. Zaytsev, R. Khasyanov, M. Spindler, E. Burnaev | Published: 2019-10-07
機械学習アルゴリズム
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
Authors: Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis A. Kiani, Jesper Tegnér | Published: 2019-10-07 | Updated: 2019-10-08
A Case Study on Using Deep Learning for Network Intrusion Detection
Authors: Gabriel C. Fernandez, Shouhuai Xu | Published: 2019-10-05
PINFER: Privacy-Preserving Inference for Machine Learning
Authors: Marc Joye, Fabien A. P. Petitcolas | Published: 2019-10-04
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Authors: Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque | Published: 2019-10-03 | Updated: 2019-12-13
A Data Science Approach for Honeypot Detection in Ethereum
Authors: Ramiro Camino, Christof Ferreira Torres, Mathis Baden, Radu State | Published: 2019-10-03 | Updated: 2019-12-19
Machine-Learning Techniques for Detecting Attacks in SDN
Authors: Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut | Published: 2019-10-02
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network
Authors: Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R | Published: 2019-10-01
Decision Explanation and Feature Importance for Invertible Networks
Authors: Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan | Published: 2019-09-30 | Updated: 2019-10-15
Dynamic data fusion using multi-input models for malware classification
Authors: Viktor Zenkov, Jason Laska | Published: 2019-09-21