activity
20182023
most citedA Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules

11 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2023

Make me an Offer: Forward and Reverse Auctioning Problems in the Tourism Industry

Ioannis T. Christou, Dimitris Doukas, Konstantina Skouri +1

Most tourist destinations are facing regular and consistent seasonality with significant economic and social impacts. This phenomenon is more pronounced in the post-covid era, wher…

eess.SY2022

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…

cs.AI2022

Planning Courses for Student Success at the American College of Greece

Ioannis T. Christou, Evgenia Vagianou, George Vardoulias

We model the problem of optimizing the schedule of courses a student at the American College of Greece will need to take to complete their studies. We model all constraints set for…

eess.SP2020

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…

cs.DC2019

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…

cs.AI2018★ 11 cited

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…

cs.SE2018★ 2 cited

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…