Sparse random neural networks for online anomaly detection on sensor nodes

Automated training of location-specific edge models for traffic counting

(2022) Sam Leroux et al.   COMPUTERS & ELECTRICAL ENGINEERING

CADeSH: Collaborative Anomaly Detection for Smart Homes

(2022) Yair Meidan et al.   IEEE Internet of Things Journal

Deep Learning for Anomaly Detection

(2021) Guansong Pang et al.   ACM COMPUTING SURVEYS

Understanding deep learning (still) requires rethinking generalization

(2021) Chiyuan Zhang et al.   COMMUNICATIONS OF THE ACM

High-dimensional outlier detection using random projections

(2021) P. Navarro-Esteban et al.   TEST

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

(2021) Bo Li et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

An LSH-based k-representatives clustering method for large categorical data

(2021) Toan Nguyen Mau et al.   NEUROCOMPUTING

Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights

(2021) Shail Dave et al.   PROCEEDINGS OF THE IEEE

A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms

(2021) Abebe Diro et al.   SENSORS

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Binary neural networks: A survey

(2020) Haotong Qin et al.   PATTERN RECOGNITION

A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection

(2020) Wenguang Song et al.   SENSORS

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

(2020) Chenyu Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Training binary neural networks with knowledge transfer

(2019) Sam Leroux et al.   NEUROCOMPUTING

A Review of Binarized Neural Networks

(2019) Taylor Simons et al.   Electronics

Randomness in neural networks: an overview

(2017) Simone Scardapane et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Stochastic Configuration Networks: Fundamentals and Algorithms

(2017) Dianhui Wang et al.   IEEE Transactions on Cybernetics

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

(2016) Raja Giryes et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Video anomaly detection based on locality sensitive hashing filters

(2016) Ying Zhang et al.   PATTERN RECOGNITION

Fast decorrelated neural network ensembles with random weights

(2014) Monther Alhamdoosh et al.   INFORMATION SCIENCES

Automatic metal parts inspection: Use of thermographic images and anomaly detection algorithms

(2013) M.S. Benmoussat et al.   INFRARED PHYSICS & TECHNOLOGY

Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis

(2012) Jianbo Yu   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data

Density-preserving projections for large-scale local anomaly detection

(2011) Timothy de Vries et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Hierarchical Models in the Brain

(2008) Karl Friston   PLoS Computational Biology