Stefanos Ougiaroglou

发表

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

Giorgos Paschalis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2012, AIAI.

Efficient broadcast disks program construction in asymmetric communication environments

Petros Nicopolitidis, Eleftherios Tiakas, Stefanos Ougiaroglou, 2007, MSWiM '07.

EHC: Non-parametric Editing by Finding Homogeneous Clusters

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2014, FoIKS.

Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments

Petros Nicopolitidis, Eleftherios Tiakas, Stefanos Ougiaroglou, 2009, Telecommun. Syst..

FHC: an adaptive fast hybrid method for k-NN classification

Georgios Evangelidis, Stefanos Ougiaroglou, Dimitris A. Dervos, 2015, Log. J. IGPL.

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

Georgios Evangelidis, Stefanos Ougiaroglou, Dimitris A. Dervos, 2011, SISAP.

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

Georgios Evangelidis, Stefanos Ougiaroglou, 2013, Artificial Intelligence Review.

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

Georgios Evangelidis, Dimitrios Dervos, Leonidas Karamitopoulos, 2013, ICANN.

Applying Prototype Selection and Abstraction Algorithms for Efficient Time-Series Classification

Georgios Evangelidis, Leonidas Karamitopoulos, Stefanos Ougiaroglou, 2015 .

Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors

Yannis Manolopoulos, Alexandros Nanopoulos, Tatjana Welzer, 2007, ADBIS.

RHC: a non-parametric cluster-based data reduction for efficient k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2014, Pattern Analysis and Applications.

Dynamic k-NN Classification Based on Region Homogeneity

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2020, ADBIS.

Efficient dataset size reduction by finding homogeneous clusters

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2012, BCI '12.

Fast Tree-Based Classification via Homogeneous Clustering

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2019, IDEAL.

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

Georgios Evangelidis, Dimitrios Dervos, Stefanos Ougiaroglou, 2012, HAIS.

WebDR: A Web Workbench for Data Reduction

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2014, ECML/PKDD.

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

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2015, BCI.

A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2012, AIAI.

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

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2017, Neurocomputing.

The Effect of Parallelism on Data Reduction

Georgios Evangelidis, Stefanos Ougiaroglou, Pavlos Ponos, 2019, BCI.

Generating Fixed-Size Training Sets for Large and Streaming Datasets

Georgios Evangelidis, Stefanos Ougiaroglou, Dimitris A. Dervos, 2017, ADBIS.

AIB2: an abstraction data reduction technique based on IB2

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2013, BCI '13.

Crowd gaming: Motivating learning with outdoor activities

Stefanos Ougiaroglou, Dimitris A. Dervos, Stavri Skourti, 2017, 2017 IEEE Global Engineering Education Conference (EDUCON).

Efficient editing and data abstraction by finding homogeneous clusters

Georgios Evangelidis, Stefanos Ougiaroglou, 2015, Annals of Mathematics and Artificial Intelligence.

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

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2012, HAIS.

Improving Data Reduction by Merging Prototypes

Georgios Evangelidis, Stefanos Ougiaroglou, Pavlos Ponos, 2019, ADBIS.

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

Georgios Evangelidis, Stefanos Ougiaroglou, Stefanos Ougiaroglou, 2012, 2012 16th Panhellenic Conference on Informatics.

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

Georgios Evangelidis, Stefanos Ougiaroglou, Dimitris A. Dervos, 2020, Comput. Sci. Inf. Syst..

Efficient Support Vector Machine Classification Using Prototype Selection and Generation

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2016, AIAI.

Efficient data abstraction using weighted IB2 prototypes

Georgios Evangelidis, Stefanos Ougiaroglou, 2014, Comput. Sci. Inf. Syst..

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

Georgios Evangelidis, Dimitrios Dervos, Stefanos Ougiaroglou, 2013, ArXiv.

Occupational Guidance through ELECTRE Method

Ioannis Kazanidis, Stefanos Ougiaroglou, 2011, ICWL.

WebApriori: A Web Application for Association Rules Mining

Stefanos Ougiaroglou, Dimitris A. Dervos, Konstantinos Malliaridis, 2020, ITS.

Prototype Generation for Multi-label Nearest Neighbours Classification

Georgios Evangelidis, Stefanos Ougiaroglou, Panagiotis Filippakis, 2021, HAIS.

Prototype Selection and Generation with Minority Classes Preservation

Georgios Evangelidis, Stefanos Ougiaroglou, Dimitris A. Dervos, 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).

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

Georgios Evangelidis, Stefanos Ougiaroglou, Merkourios Papanikolaou, 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).