Stefanos Ougiaroglou

According to our database, Stefanos Ougiaroglou authored at least 49 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge Graphs and Semantic Web Tools in Cyber Threat Intelligence: A Systematic Literature Review.

Charalampos Bratsas, Efstathios Konstantinos Anastasiadis, Alexandros K. Angelidis, Lazaros Ioannidis, Rigas Kotsakis, Stefanos Ougiaroglou

J. Cybersecur. Priv., September, 2024

Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction.

Stefanos Ougiaroglou, Nikolaos Papadimitriou, Georgios Evangelidis

SN Comput. Sci., August, 2024

Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service.

Matthaios Zografos, Stefanos Ougiaroglou

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

An Empirical Analysis of Data Reduction Techniques for k-NN Classification.

Stylianos Eleftheriadis, Georgios Evangelidis, Stefanos Ougiaroglou

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Data reduction via multi-label prototype generation.

Stefanos Ougiaroglou, Panagiotis Filippakis, Georgia Fotiadou, Georgios Evangelidis

Neurocomputing, March, 2023

Prototype Selection for Multilabel Instance-Based Learning.

Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis

Inf., 2023

kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types.

Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris

Future Internet, 2023

Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets.

Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos, Stefanos Ougiaroglou

Big Data Cogn. Comput., 2023

A Web Tool for K-means Clustering.

Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris

Proceedings of the Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023), 2023

Very fast variations of training set size reduction algorithms for instance-based classification.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the International Database Engineered Applications Symposium Conference, 2023

Condensed Nearest Neighbour Rules for Multi-Label Datasets.

Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the International Database Engineered Applications Symposium Conference, 2023

2022

Fast data reduction by space partitioning via convex hull and MBR computation.

Thomas Giorginis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos

Pattern Recognit., 2022

Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms.

Stefanos Ougiaroglou, Theodoros Mastromanolis, Georgios Evangelidis, Dionisis Margaris

Inf., 2022

2021

Prototype Selection and Generation with Minority Classes Preservation.

Konstantinos Xouveroudis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos

Proceedings of the 12th International Conference on Information, 2021

Dynamic k determination in k-NN classifier: A literature review.

Merkourios Papanikolaou, Georgios Evangelidis, Stefanos Ougiaroglou

Proceedings of the 12th International Conference on Information, 2021

Prototype Generation for Multi-label Nearest Neighbours Classification.

Stefanos Ougiaroglou, Panagiotis Filippakis, Georgios Evangelidis

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020

Instance-based classification using prototypes generated from large noisy and streaming datasets.

Stefanos Ougiaroglou, Dimitris A. Dervos, Georgios Evangelidis

Comput. Sci. Inf. Syst., 2020

WebApriori: A Web Application for Association Rules Mining.

Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Dynamic k-NN Classification Based on Region Homogeneity.

Stefanos Ougiaroglou, Georgios Evangelidis, Konstantinos I. Diamantaras

Proceedings of the New Trends in Databases and Information Systems, 2020

2019

Fast Tree-Based Classification via Homogeneous Clustering.

George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

The Effect of Parallelism on Data Reduction.

Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the 9th Balkan Conference on Informatics, 2019

Improving Data Reduction by Merging Prototypes.

Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Advances in Databases and Information Systems, 2019

2018

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification.

Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis

Neurocomputing, 2018

2017

Crowd gaming: Motivating learning with outdoor activities.

Stavri Skourti, Georgios Tzinos, Dimitris A. Dervos, Stefanos Ougiaroglou

Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

Generating Fixed-Size Training Sets for Large and Streaming Datasets.

Stefanos Ougiaroglou, Georgios Arampatzis, Dimitris A. Dervos, Georgios Evangelidis

Proceedings of the Advances in Databases and Information Systems, 2017

2016

RHC: a non-parametric cluster-based data reduction for efficient k-NN classification.

Stefanos Ougiaroglou, Georgios Evangelidis

Pattern Anal. Appl., 2016

Efficient editing and data abstraction by finding homogeneous clusters.

Stefanos Ougiaroglou, Georgios Evangelidis

Ann. Math. Artif. Intell., 2016

Efficient Support Vector Machine Classification Using Prototype Selection and Generation.

Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015

FHC: an adaptive fast hybrid method for <i>k</i>-NN classification.

Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos

Log. J. IGPL, 2015

Dealing with noisy data in the context of k-NN Classification.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the 7th Balkan Conference on Informatics Conference, 2015

2014

Algorithms and techniques for efficient and effective nearest neighbours classification

Stefanos Ougiaroglou

PhD thesis, 2014

Efficient data abstraction using weighted IB2 prototypes.

Stefanos Ougiaroglou, Georgios Evangelidis

Comput. Sci. Inf. Syst., 2014

Efficient $$k$$ k -NN classification based on homogeneous clusters.

Stefanos Ougiaroglou, Georgios Evangelidis

Artif. Intell. Rev., 2014

WebDR: A Web Workbench for Data Reduction.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

EHC: Non-parametric Editing by Finding Homogeneous Clusters.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Foundations of Information and Knowledge Systems, 2014

2013

An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier.

Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos

CoRR, 2013

Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification.

Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitrios Dervos

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

AIB2: an abstraction data reduction technique based on IB2.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Balkan Conference in Informatics, 2013

2012

Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

Association Rules Mining from the Educational Data of ESOG Web-Based Application.

Stefanos Ougiaroglou, Giorgos Paschalis

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier.

Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Efficient dataset size reduction by finding homogeneous clusters.

Stefanos Ougiaroglou, Georgios Evangelidis

Proceedings of the Balkan Conference in Informatics, 2012, 2012

2011

A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers.

Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos

Proceedings of the Fourth International Conference on Similarity Search and Applications, 2011

Occupational Guidance through ELECTRE Method.

Stefanos Ougiaroglou, Ioannis Kazanidis

Proceedings of the Advances in Web-Based Learning - ICWL 2011, 2011

2009

Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments.

Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis

Telecommun. Syst., 2009

2007

Efficient broadcast disks program construction in asymmetric communication environments.

Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis

Proceedings of the 10th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2007

Adaptive <i>k</i>-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors.

Stefanos Ougiaroglou, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos, Tatjana Welzer-Druzovec

Proceedings of the Advances in Databases and Information Systems, 2007