Stefanos Ougiaroglou

56 papers A 1B 2C 8Misc 2Journal 19Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient techniques for retrieving top-K frequent itemsets. Expert Syst. Appl. Konstantinos Malliaridis, Stefanos Ougiaroglou
2025	—	`conf`	An AutoML Web Tool for Multi-label Classification. NiDS (3) Alexandros Oikonomou, Stefanos Ougiaroglou, Charalampos Bratsas
2025	—	`conf`	AutoKNN: An AutoML Web Application for K-Nearest Neighbours Classification. IISA Konstantinos Batsios, Stefanos Ougiaroglou, Charalampos Bratsas
2025	J	`jnl`	Signature forgery detection using deep and machine learning. Intell. Decis. Technol. Kyriakos Stergiou, Stefanos Ougiaroglou, Antonis Sidiropoulos
2024	—	`conf`	An Empirical Analysis of Data Reduction Techniques for k-NN Classification. AIAI (4) Stylianos Eleftheriadis, Georgios Evangelidis, Stefanos Ougiaroglou
2024	—	`conf`	Automatic Dataset Type Recognition for Association Rule Mining. SETN Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos, Charalampos Bratsas, Antonis Sidiropoulos, Konstantinos I. Diamantaras
2024	—	`conf`	Condensing multi-label data based on Clustering. PCI Panagiotis Filippakis, Stefanos Ougiaroglou
2024	C	`conf`	Improving Recommendation Quality in Collaborative Filtering by Including Prediction Confidence Factors. WEBIST Kiriakos Sgardelis, Dionisis Margaris, Dimitris Spiliotopoulos, Costas Vassilakis, Stefanos Ougiaroglou
2024	J	`jnl`	Knowledge Graphs and Semantic Web Tools in Cyber Threat Intelligence: A Systematic Literature Review. J. Cybersecur. Priv. Charalampos Bratsas, Efstathios Konstantinos Anastasiadis, Alexandros K. Angelidis, Lazaros Ioannidis, Rigas Kotsakis, Stefanos Ougiaroglou
2024	J	`jnl`	Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction. SN Comput. Sci. Stefanos Ougiaroglou, Nikolaos Papadimitriou, Georgios Evangelidis
2024	—	`conf`	Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service. ITS (2) Matthaios Zografos, Stefanos Ougiaroglou
2023	—	`conf`	A Web Tool for K-means Clustering. NiDS (1) Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris
2023	C	`conf`	Condensed Nearest Neighbour Rules for Multi-Label Datasets. IDEAS Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis
2023	J	`jnl`	Data reduction via multi-label prototype generation. Neurocomputing Stefanos Ougiaroglou, Panagiotis Filippakis, Georgia Fotiadou, Georgios Evangelidis
2023	J	`jnl`	Prototype Selection for Multilabel Instance-Based Learning. Inf. Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis
2023	J	`jnl`	Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets. Big Data Cogn. Comput. Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos, Stefanos Ougiaroglou
2023	C	`conf`	Very fast variations of training set size reduction algorithms for instance-based classification. IDEAS Stefanos Ougiaroglou, Georgios Evangelidis
2023	J	`jnl`	kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types. Future Internet Konstantinos Gratsos, Stefanos Ougiaroglou, Dionisis Margaris
2022	J	`jnl`	Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms. Inf. Stefanos Ougiaroglou, Theodoros Mastromanolis, Georgios Evangelidis, Dionisis Margaris
2022	J	`jnl`	Fast data reduction by space partitioning via convex hull and MBR computation. Pattern Recognit. Thomas Giorginis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
2021	—	`conf`	Dynamic k determination in k-NN classifier: A literature review. IISA Merkourios Papanikolaou, Georgios Evangelidis, Stefanos Ougiaroglou
2021	Misc	`conf`	Prototype Generation for Multi-label Nearest Neighbours Classification. HAIS Stefanos Ougiaroglou, Panagiotis Filippakis, Georgios Evangelidis
2021	—	`conf`	Prototype Selection and Generation with Minority Classes Preservation. IISA Konstantinos Xouveroudis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
2020	—	`conf`	Dynamic k-NN Classification Based on Region Homogeneity. ADBIS (Short Papers) Stefanos Ougiaroglou, Georgios Evangelidis, Konstantinos I. Diamantaras
2020	J	`jnl`	Instance-based classification using prototypes generated from large noisy and streaming datasets. Comput. Sci. Inf. Syst. Stefanos Ougiaroglou, Dimitris A. Dervos, Georgios Evangelidis
2020	B	`conf`	WebApriori: A Web Application for Association Rules Mining. ITS Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos
2019	—	`conf`	Fast Tree-Based Classification via Homogeneous Clustering. IDEAL (1) George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis
2019	C	`conf`	Improving Data Reduction by Merging Prototypes. ADBIS Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis
2019	—	`conf`	The Effect of Parallelism on Data Reduction. BCI Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis
2018	J	`jnl`	Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. Neurocomputing Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
2017	C	`conf`	Crowd gaming: Motivating learning with outdoor activities. EDUCON Stavri Skourti, Georgios Tzinos, Dimitris A. Dervos, Stefanos Ougiaroglou
2017	C	`conf`	Generating Fixed-Size Training Sets for Large and Streaming Datasets. ADBIS Stefanos Ougiaroglou, Georgios Arampatzis, Dimitris A. Dervos, Georgios Evangelidis
2016	Misc	`conf`	Efficient Support Vector Machine Classification Using Prototype Selection and Generation. AIAI Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
2016	J	`jnl`	Efficient editing and data abstraction by finding homogeneous clusters. Ann. Math. Artif. Intell. Stefanos Ougiaroglou, Georgios Evangelidis
2016	J	`jnl`	RHC: a non-parametric cluster-based data reduction for efficient k-NN classification. Pattern Anal. Appl. Stefanos Ougiaroglou, Georgios Evangelidis
2015	—	`conf`	Dealing with noisy data in the context of k-NN Classification. BCI Stefanos Ougiaroglou, Georgios Evangelidis
2015	J	`jnl`	FHC: an adaptive fast hybrid method for Log. J. IGPL Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos
2014	—	`—`	Algorithms and techniques for efficient and effective nearest neighbours classification Stefanos Ougiaroglou
2014	—	`conf`	EHC: Non-parametric Editing by Finding Homogeneous Clusters. FoIKS Stefanos Ougiaroglou, Georgios Evangelidis
2014	J	`jnl`	Efficient $$k$$ k -NN classification based on homogeneous clusters. Artif. Intell. Rev. Stefanos Ougiaroglou, Georgios Evangelidis
2014	J	`jnl`	Efficient data abstraction using weighted IB2 prototypes. Comput. Sci. Inf. Syst. Stefanos Ougiaroglou, Georgios Evangelidis
2014	—	`conf`	WebDR: A Web Workbench for Data Reduction. ECML/PKDD (3) Stefanos Ougiaroglou, Georgios Evangelidis
2013	—	`conf`	AIB2: an abstraction data reduction technique based on IB2. BCI Stefanos Ougiaroglou, Georgios Evangelidis
2013	J	`jnl`	An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier. CoRR Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
2013	C	`conf`	Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification. ICANN Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitrios Dervos
2012	—	`conf`	A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters. AIAI (1) Stefanos Ougiaroglou, Georgios Evangelidis
2012	—	`conf`	A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification. HAIS (2) Stefanos Ougiaroglou, Georgios Evangelidis
2012	—	`conf`	An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier. HAIS (2) Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
2012	—	`conf`	Association Rules Mining from the Educational Data of ESOG Web-Based Application. AIAI (2) Stefanos Ougiaroglou, Giorgos Paschalis
2012	—	`conf`	Efficient dataset size reduction by finding homogeneous clusters. BCI Stefanos Ougiaroglou, Georgios Evangelidis
2012	—	`conf`	Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering. Panhellenic Conference on Informatics Stefanos Ougiaroglou, Georgios Evangelidis
2011	B	`conf`	A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers. SISAP Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos
2011	—	`conf`	Occupational Guidance through ELECTRE Method. ICWL Stefanos Ougiaroglou, Ioannis Kazanidis
2009	J	`jnl`	Efficient algorithms for constructing broadcast disks programs in asymmetric communication environments. Telecommun. Syst. Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis
2007	C	`conf`	Adaptive ADBIS Stefanos Ougiaroglou, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos, Tatjana Welzer-Druzovec
2007	A	`conf`	Efficient broadcast disks program construction in asymmetric communication environments. MSWiM Eleftherios Tiakas, Stefanos Ougiaroglou, Petros Nicopolitidis