Stefanos Ougiaroglou

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 27

Top Topics

Support Vector Machine Classification

Top Venues

Publications

Stefanos Ougiaroglou, Nikolaos Papadimitriou, Georgios Evangelidis
Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction. SN Comput. Sci. 5 (6) (2024)
Matthaios Zografos, Stefanos Ougiaroglou
Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service. ITS (2) (2024)
Stylianos Eleftheriadis, Georgios Evangelidis, Stefanos Ougiaroglou
An Empirical Analysis of Data Reduction Techniques for k-NN Classification. AIAI (4) (2024)
Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos, Stefanos Ougiaroglou
Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets. Big Data Cogn. Comput. 7 (2) (2023)
Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris
A Web Tool for K-means Clustering. NiDS (1) (2023)
Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris
kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types. Future Internet 15 (10) (2023)
Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis
Prototype Selection for Multilabel Instance-Based Learning. Inf. 14 (10) (2023)
Stefanos Ougiaroglou, Panagiotis Filippakis, Georgia Fotiadou, Georgios Evangelidis
Data reduction via multi-label prototype generation. Neurocomputing 526 (2023)
Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis
Condensed Nearest Neighbour Rules for Multi-Label Datasets. IDEAS (2023)
Stefanos Ougiaroglou, Georgios Evangelidis
Very fast variations of training set size reduction algorithms for instance-based classification. IDEAS (2023)
Thomas Giorginis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
Fast data reduction by space partitioning via convex hull and MBR computation. Pattern Recognit. 126 (2022)
Stefanos Ougiaroglou, Theodoros Mastromanolis, Georgios Evangelidis, Dionisis Margaris
Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms. Inf. 13 (12) (2022)
Konstantinos Xouveroudis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
Prototype Selection and Generation with Minority Classes Preservation. IISA (2021)
Merkourios Papanikolaou, Georgios Evangelidis, Stefanos Ougiaroglou
Dynamic k determination in k-NN classifier: A literature review. IISA (2021)
Stefanos Ougiaroglou, Panagiotis Filippakis, Georgios Evangelidis
Prototype Generation for Multi-label Nearest Neighbours Classification. HAIS (2021)
Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos
WebApriori: A Web Application for Association Rules Mining. ITS (2020)
Stefanos Ougiaroglou, Dimitris A. Dervos, Georgios Evangelidis
Instance-based classification using prototypes generated from large noisy and streaming datasets. Comput. Sci. Inf. Syst. 17 (1) (2020)
Stefanos Ougiaroglou, Georgios Evangelidis, Konstantinos I. Diamantaras
Dynamic k-NN Classification Based on Region Homogeneity. ADBIS (Short Papers) (2020)
Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis
Improving Data Reduction by Merging Prototypes. ADBIS (2019)
George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis
Fast Tree-Based Classification via Homogeneous Clustering. IDEAL (1) (2019)
Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis
The Effect of Parallelism on Data Reduction. BCI (2019)
Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. Neurocomputing 280 (2018)
Stavri Skourti, Georgios Tzinos, Dimitris A. Dervos, Stefanos Ougiaroglou
Crowd gaming: Motivating learning with outdoor activities. EDUCON (2017)
Stefanos Ougiaroglou, Georgios Arampatzis, Dimitris A. Dervos, Georgios Evangelidis
Generating Fixed-Size Training Sets for Large and Streaming Datasets. ADBIS (2017)
Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
Efficient Support Vector Machine Classification Using Prototype Selection and Generation. AIAI (2016)
Stefanos Ougiaroglou, Georgios Evangelidis
RHC: a non-parametric cluster-based data reduction for efficient k-NN classification. Pattern Anal. Appl. 19 (1) (2016)
Stefanos Ougiaroglou, Georgios Evangelidis
Efficient editing and data abstraction by finding homogeneous clusters. Ann. Math. Artif. Intell. 76 (3-4) (2016)
Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
-NN classification. Log. J. IGPL 23 (3) (2015)
Stefanos Ougiaroglou, Georgios Evangelidis
Dealing with noisy data in the context of k-NN Classification. BCI (2015)
Stefanos Ougiaroglou, Georgios Evangelidis
EHC: Non-parametric Editing by Finding Homogeneous Clusters. FoIKS (2014)
Stefanos Ougiaroglou, Georgios Evangelidis
Efficient $$k$$ k -NN classification based on homogeneous clusters. Artif. Intell. Rev. 42 (3) (2014)
Stefanos Ougiaroglou, Georgios Evangelidis
Efficient data abstraction using weighted IB2 prototypes. Comput. Sci. Inf. Syst. 11 (2) (2014)
Stefanos Ougiaroglou, Georgios Evangelidis
WebDR: A Web Workbench for Data Reduction. ECML/PKDD (3) (2014)
Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitrios Dervos
Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification. ICANN (2013)
Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier. CoRR (2013)
Stefanos Ougiaroglou, Georgios Evangelidis
AIB2: an abstraction data reduction technique based on IB2. BCI (2013)
Stefanos Ougiaroglou, Georgios Evangelidis
Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering. Panhellenic Conference on Informatics (2012)
Stefanos Ougiaroglou, Georgios Evangelidis
Efficient dataset size reduction by finding homogeneous clusters. BCI (2012)
Stefanos Ougiaroglou, Georgios Evangelidis
A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification. HAIS (2) (2012)
Stefanos Ougiaroglou, Giorgos Paschalis
Association Rules Mining from the Educational Data of ESOG Web-Based Application. AIAI (2) (2012)
Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier. HAIS (2) (2012)
Stefanos Ougiaroglou, Georgios Evangelidis
A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters. AIAI (1) (2012)
Stefanos Ougiaroglou, Ioannis Kazanidis
Occupational Guidance through ELECTRE Method. ICWL (2011)
Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers. SISAP (2011)
Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis
Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments. Telecommun. Syst. 41 (3) (2009)
Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis
Efficient broadcast disks program construction in asymmetric communication environments. MSWiM (2007)
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos, Tatjana Welzer-Druzovec
-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors. ADBIS (2007)