2 citations · 2 across the 3 of their papers we have counts for
5 papers
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Alexander Beattie, Pavol Mulinka, Subham Sahoo +4
Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems. Robust and explainable strategies help…
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning
Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou +8
This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and mac…
Popt4jlib: A Parallel/Distributed Optimization Library for Java
Ioannis T. Christou
This paper describes the architectural design as well as key implementation details of the Open Source popt4jlib library (https://githhub.org/ioannischristou/popt4jlib) that contai…
A Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules
Ioannis T. Christou, Emmanouil Amolochitis, Zheng-Hua Tan
We present QARMA, an efficient novel parallel algorithm for mining all Quantitative Association Rules in large multidimensional datasets where items are required to have at least a…
To Pool or Not To Pool? Revisiting an Old Pattern
Ioannis T. Christou, Sofoklis Efremidis
We revisit the well-known object-pool design pattern in Java. In the last decade, the pattern has attracted a lot of criticism regarding its validity when used for light-weight obj…