Stefanos Ougiaroglou

Orcid: 0000-0003-1094-2520

According to our database1, Stefanos Ougiaroglou authored at least 45 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Data reduction via multi-label prototype generation.
Neurocomputing, March, 2023

Prototype Selection for Multilabel Instance-Based Learning.
Inf., 2023

kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types.
Future Internet, 2023

Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets.
Big Data Cogn. Comput., 2023

A Web Tool for K-means Clustering.
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.
Proceedings of the International Database Engineered Applications Symposium Conference, 2023

Condensed Nearest Neighbour Rules for Multi-Label Datasets.
Proceedings of the International Database Engineered Applications Symposium Conference, 2023

2022
Fast data reduction by space partitioning via convex hull and MBR computation.
Pattern Recognit., 2022

Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms.
Inf., 2022

2021
Prototype Selection and Generation with Minority Classes Preservation.
Proceedings of the 12th International Conference on Information, 2021

Dynamic k determination in k-NN classifier: A literature review.
Proceedings of the 12th International Conference on Information, 2021

Prototype Generation for Multi-label Nearest Neighbours Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020
Instance-based classification using prototypes generated from large noisy and streaming datasets.
Comput. Sci. Inf. Syst., 2020

WebApriori: A Web Application for Association Rules Mining.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Dynamic k-NN Classification Based on Region Homogeneity.
Proceedings of the New Trends in Databases and Information Systems, 2020

2019
Fast Tree-Based Classification via Homogeneous Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

The Effect of Parallelism on Data Reduction.
Proceedings of the 9th Balkan Conference on Informatics, 2019

Improving Data Reduction by Merging Prototypes.
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.
Neurocomputing, 2018

2017
Crowd gaming: Motivating learning with outdoor activities.
Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

Generating Fixed-Size Training Sets for Large and Streaming Datasets.
Proceedings of the Advances in Databases and Information Systems, 2017

2016
RHC: a non-parametric cluster-based data reduction for efficient k-NN classification.
Pattern Anal. Appl., 2016

Efficient editing and data abstraction by finding homogeneous clusters.
Ann. Math. Artif. Intell., 2016

Efficient Support Vector Machine Classification Using Prototype Selection and Generation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
FHC: an adaptive fast hybrid method for <i>k</i>-NN classification.
Log. J. IGPL, 2015

Dealing with noisy data in the context of k-NN Classification.
Proceedings of the 7th Balkan Conference on Informatics Conference, 2015

2014
Algorithms and techniques for efficient and effective nearest neighbours classification
PhD thesis, 2014

Efficient data abstraction using weighted IB2 prototypes.
Comput. Sci. Inf. Syst., 2014

Efficient $$k$$ k -NN classification based on homogeneous clusters.
Artif. Intell. Rev., 2014

WebDR: A Web Workbench for Data Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

EHC: Non-parametric Editing by Finding Homogeneous Clusters.
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.
CoRR, 2013

Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

AIB2: an abstraction data reduction technique based on IB2.
Proceedings of the Balkan Conference in Informatics, 2013

2012
Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering.
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

Association Rules Mining from the Educational Data of ESOG Web-Based Application.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Efficient dataset size reduction by finding homogeneous clusters.
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.
Proceedings of the Fourth International Conference on Similarity Search and Applications, 2011

Occupational Guidance through ELECTRE Method.
Proceedings of the Advances in Web-Based Learning - ICWL 2011, 2011

2009
Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments.
Telecommun. Syst., 2009

2007
Efficient broadcast disks program construction in asymmetric communication environments.
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.
Proceedings of the Advances in Databases and Information Systems, 2007


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