Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors. - Stefanos Ougiaroglou; Alexandros Nanopoulos; Apostolos N. Papadopoulos; Yannis Manolopoulos; Tatjana Welzer-Druzovec (ADBIS, 2007)

Efficient broadcast disks program construction in asymmetric communication environments. - Eleftherios Tiakas; Stefanos Ougiaroglou; Petros Nicopolitidis (MSWiM, 2007)

Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments. - Eleftherios Tiakas; Stefanos Ougiaroglou; Petros Nicopolitidis (Telecommun. Syst., 2009)

Occupational Guidance through ELECTRE Method. - Stefanos Ougiaroglou; Ioannis Kazanidis (ICWL, 2011)

A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitrios Dervos (SISAP, 2011)

Efficient dataset size reduction by finding homogeneous clusters. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (BCI, 2012)

A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (HAIS (2), 2012)

An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitrios Dervos (HAIS (2), 2012)

A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (AIAI (1), 2012)

Association Rules Mining from the Educational Data of ESOG Web-Based Application. - Stefanos Ougiaroglou; Giorgos Paschalis (AIAI (2), 2012)

Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (Panhellenic Conference on Informatics, 2012)

AIB2: an abstraction data reduction technique based on IB2. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (BCI, 2013)

Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification. - Stefanos Ougiaroglou; Leonidas Karamitopoulos; Christos Tatoglou; Georgios Evangelidis 001; Dimitrios Dervos (ICANN, 2013)

An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitrios Dervos (CoRR, 2013)

EHC: Non-parametric Editing by Finding Homogeneous Clusters. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (FoIKS, 2014)

WebDR: A Web Workbench for Data Reduction. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (ECML/PKDD (3), 2014)

Efficient $$k$$ k -NN classification based on homogeneous clusters. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (Artif. Intell. Rev., 2014)

Efficient data abstraction using weighted IB2 prototypes. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (Comput. Sci. Inf. Syst., 2014)

Algorithms and techniques for efficient and effective nearest neighbours classification - Stefanos Ougiaroglou (2014)

Dealing with noisy data in the context of k-NN Classification. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (BCI, 2015)

FHC: an adaptive fast hybrid method for k-NN classification. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitris A. Dervos (Log. J. IGPL, 2015)

Efficient Support Vector Machine Classification Using Prototype Selection and Generation. - Stefanos Ougiaroglou; Konstantinos I. Diamantaras; Georgios Evangelidis 001 (AIAI, 2016)

Efficient editing and data abstraction by finding homogeneous clusters. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (Ann. Math. Artif. Intell., 2016)

RHC: a non-parametric cluster-based data reduction for efficient k-NN classification. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (Pattern Anal. Appl., 2016)

Generating Fixed-Size Training Sets for Large and Streaming Datasets. - Stefanos Ougiaroglou; Georgios Arampatzis; Dimitris A. Dervos; Georgios Evangelidis 001 (ADBIS, 2017)

Crowd gaming: Motivating learning with outdoor activities. - Stavri Skourti; Georgios Tzinos; Dimitris A. Dervos; Stefanos Ougiaroglou (EDUCON, 2017)

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. - Stefanos Ougiaroglou; Konstantinos I. Diamantaras; Georgios Evangelidis 001 (Neurocomputing, 2018)

Improving Data Reduction by Merging Prototypes. - Pavlos Ponos; Stefanos Ougiaroglou; Georgios Evangelidis 001 (ADBIS, 2019)

The Effect of Parallelism on Data Reduction. - Pavlos Ponos; Stefanos Ougiaroglou; Georgios Evangelidis 001 (BCI, 2019)

Fast Tree-Based Classification via Homogeneous Clustering. - George Pardis; Konstantinos I. Diamantaras; Stefanos Ougiaroglou; Georgios Evangelidis 001 (IDEAL (1), 2019)

Dynamic k-NN Classification Based on Region Homogeneity. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Konstantinos I. Diamantaras (ADBIS (Short Papers), 2020)

WebApriori: A Web Application for Association Rules Mining. - Konstantinos Malliaridis; Stefanos Ougiaroglou; Dimitris A. Dervos (ITS, 2020)

Instance-based classification using prototypes generated from large noisy and streaming datasets. - Stefanos Ougiaroglou; Dimitris A. Dervos; Georgios Evangelidis 001 (Comput. Sci. Inf. Syst., 2020)

Prototype Generation for Multi-label Nearest Neighbours Classification. - Stefanos Ougiaroglou; Panagiotis Filippakis; Georgios Evangelidis 001 (HAIS, 2021)

Dynamic k determination in k-NN classifier: A literature review. - Merkourios Papanikolaou; Georgios Evangelidis 001; Stefanos Ougiaroglou (IISA, 2021)

Prototype Selection and Generation with Minority Classes Preservation. - Konstantinos Xouveroudis; Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitris A. Dervos (IISA, 2021)

Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms. - Stefanos Ougiaroglou; Theodoros Mastromanolis; Georgios Evangelidis 001; Dionisis Margaris (Inf., 2022)

Fast data reduction by space partitioning via convex hull and MBR computation. - Thomas Giorginis; Stefanos Ougiaroglou; Georgios Evangelidis 001; Dimitris A. Dervos (Pattern Recognit., 2022)

Condensed Nearest Neighbour Rules for Multi-Label Datasets. - Panagiotis Filippakis; Stefanos Ougiaroglou; Georgios Evangelidis 001 (IDEAS, 2023)

Very fast variations of training set size reduction algorithms for instance-based classification. - Stefanos Ougiaroglou; Georgios Evangelidis 001 (IDEAS, 2023)

A Web Tool for K-means Clustering. - Konstantinos Gratsos; Stefanos Ougiaroglou; Dionisis Margaris (NiDS (1), 2023)

Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets. - Dionisis Margaris; Costas Vassilakis 001; Dimitris Spiliotopoulos; Stefanos Ougiaroglou (Big Data Cogn. Comput., 2023)

kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types. - Konstantinos Gratsos; Stefanos Ougiaroglou; Dionisis Margaris (Future Internet, 2023)

Prototype Selection for Multilabel Instance-Based Learning. - Panagiotis Filippakis; Stefanos Ougiaroglou; Georgios Evangelidis 001 (Inf., 2023)

Data reduction via multi-label prototype generation. - Stefanos Ougiaroglou; Panagiotis Filippakis; Georgia Fotiadou; Georgios Evangelidis 001 (Neurocomputing, 2023)

An Empirical Analysis of Data Reduction Techniques for k-NN Classification. - Stylianos Eleftheriadis; Georgios Evangelidis 001; Stefanos Ougiaroglou (AIAI (4), 2024)

Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service. - Matthaios Zografos; Stefanos Ougiaroglou (ITS (2), 2024)

Condensing multi-label data based on Clustering. - Panagiotis Filippakis; Stefanos Ougiaroglou (PCI, 2024)

Automatic Dataset Type Recognition for Association Rule Mining. - Konstantinos Malliaridis; Stefanos Ougiaroglou; Dimitris A. Dervos; Charalampos Bratsas; Antonis Sidiropoulos 001; Konstantinos I. Diamantaras (SETN, 2024)

Improving Recommendation Quality in Collaborative Filtering by Including Prediction Confidence Factors. - Kiriakos Sgardelis; Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001; Stefanos Ougiaroglou (WEBIST, 2024)

Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction. - Stefanos Ougiaroglou; Nikolaos Papadimitriou; Georgios Evangelidis 001 (SN Comput. Sci., 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., 2024)

Signature forgery detection using deep and machine learning. - Kyriakos Stergiou; Stefanos Ougiaroglou; Antonis Sidiropoulos 001 (Intell. Decis. Technol., 2025)