SBST for on-line detection of hard faults in multiprocessor applications under energy constraints. - Andreas Merentitis; Dionisis Margaris; Nektarios Kranitis; Antonis M. Paschalis; Dimitris Gizopoulos (IOLTS, 2010)

Adapting WS-BPEL scenario execution using collaborative filtering techniques. - Dionisis Margaris; Panagiotis Georgiadis 001; Costas Vassilakis 001 (RCIS, 2013)

An integrated framework for QoS-based adaptation and exception resolution in WS-BPEL scenarios. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (SAC, 2013)

A collaborative filtering algorithm with clustering for personalized web service selection in business processes. - Dionisis Margaris; Panagiotis Georgiadis 001; Costas Vassilakis 001 (RCIS, 2015)

A hybrid framework for WS-BPEL scenario execution adaptation, using monitoring and feedback data. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (SAC, 2015)

On Replacement Service Selection in WS-BPEL Scenario Adaptation. - Dionisis Margaris; Panagiotis Georgiadis 001; Costas Vassilakis 001 (SOCA, 2015)

An integrated framework for adapting WS-BPEL scenario execution using QoS and collaborative filtering techniques. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (Sci. Comput. Program., 2015)

Improving QoS delivered by WS-BPEL scenario adaptation through service execution parallelization. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (SAC, 2016)

Pruning and aging for user histories in collaborative filtering. - Dionisis Margaris; Costas Vassilakis 001 (SSCI, 2016)

Recommendation information diffusion in social networks considering user influence and semantics. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (Soc. Netw. Anal. Min., 2016)

Improving collaborative filtering's rating prediction quality in dense datasets, by pruning old ratings. - Dionisis Margaris; Costas Vassilakis 001 (ISCC, 2017)

Improving Collaborative Filtering's Rating Prediction Quality by Considering Shifts in Rating Practices. - Dionisis Margaris; Costas Vassilakis 001 (CBI (1), 2017)

Using Time Clusters for Following Users' Shifts in Rating Practices. - Dionisis Margaris; Costas Vassilakis 001 (Complex Syst. Informatics Model. Q., 2017)

Exploiting Internet of Things information to enhance venues' recommendation accuracy. - Dionisis Margaris; Costas Vassilakis 001 (Serv. Oriented Comput. Appl., 2017)

Enhancing User Rating Database Consistency Through Pruning. - Dionisis Margaris; Costas Vassilakis 001 (Trans. Large Scale Data Knowl. Centered Syst., 2017)

Improving Collaborative Filtering's Rating Prediction Accuracy by Considering Users' Rating Variability. - Dionisis Margaris; Costas Vassilakis 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

Improving Collaborative Filtering's Rating Prediction Coverage in Sparse Datasets by Exploiting User Dissimilarity. - Dionisis Margaris; Costas Vassilakis 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

Query personalization using social network information and collaborative filtering techniques. - Dionisis Margaris; Costas Vassilakis 001; Panagiotis Georgiadis 001 (Future Gener. Comput. Syst., 2018)

Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems. - Dionisis Margaris; Costas Vassilakis 001 (Informatics, 2018)

Enhancing Rating Prediction Quality Through Improving the Accuracy of Detection of Shifts in Rating Practices. - Dionisis Margaris; Costas Vassilakis 001 (Trans. Large Scale Data Knowl. Centered Syst., 2018)

Social relations versus near neighbours: reliable recommenders in limited information social network collaborative filtering for online advertising. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (ASONAM, 2019)

Data-driven country safety monitoring terrorist attack prediction. - Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionisis Margaris (ASONAM, 2019)

Improving Collaborative Filtering's Rating Prediction Coverage in Sparse Datasets through the Introduction of Virtual Near Neighbors. - Dionisis Margaris; Dionysios Vasilopoulos; Costas Vassilakis 001; Dimitris Spiliotopoulos (IISA, 2019)

Improving Collaborative Filtering's Rating Prediction Accuracy by Introducing the Common Item Rating Past Criterion. - Dionisis Margaris; Dionysios Vasilopoulos; Costas Vassilakis 001; Dimitris Spiliotopoulos (IISA, 2019)

A Methodology for Generated Text Annotation for High Quality Speech Synthesis. - Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionisis Margaris; Konstantinos Kotis (IISA, 2019)

Citizen Engagement for Transparent and Accountable Policy Modelling. - Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001 (MEDES, 2019)

A Mixed-reality Interaction-driven Game-based Learning Framework. - Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001; Volha Petukhova; Konstantinos Kotis (MEDES, 2019)

Exploiting Recommender Service to Enhance Efficiency of Replication. - Anna Kobusinska; Michal Boron; Aleksandra Kerebinska; Dionisis Margaris (SOCA, 2019)

Improving Collaborative Filtering's Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (WI, 2019)

Editorial for the Special Issue on "Modern Recommender Systems: Approaches, Challenges and Applications". - Costas Vassilakis 001; Dionisis Margaris (Inf., 2019)

Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks. - Dionisis Margaris; Costas Vassilakis 001; Dimitris Spiliotopoulos (Soc. Netw. Anal. Min., 2019)

Neighbourhood Aging Factors for Limited Information Social Network Collaborative Filtering. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (ASONAM, 2020)

On Recommending Safe Travel Periods to High Attack Risk Destinations. - Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionisis Margaris (ASONAM, 2020)

Database Knowledge Enrichment Utilizing Trending Topics from Twitter. - Costas Vassilakis 001; Dimitra Maniataki; George Lepouras; Angeliki Antoniou; Dimitris Spiliotopoulos; Vassilis Poulopoulos; Manolis Wallace; Dionisis Margaris (ASONAM, 2020)

Policy Making Analysis and Practitioner User Experience. - Dimitris Koryzis; Fotios Fitsilis; Dimitris Spiliotopoulos; Theocharis Theocharopoulos; Dionisis Margaris; Costas Vassilakis 001 (HCI (41), 2020)

A User Interface for Personalized Web Service Selection in Business Processes. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001; Gregory Karagiorgos (HCI (45), 2020)

Semantics-Driven Conversational Interfaces for Museum Chatbots. - Dimitris Spiliotopoulos; Konstantinos Kotis; Costas Vassilakis 001; Dionisis Margaris (HCI (35), 2020)

MOOC Accessibility from the Educator Perspective. - Dimitris Spiliotopoulos; Vassilis Poulopoulos; Dionisis Margaris; Eleni Makri; Costas Vassilakis 001 (HCI (44), 2020)

"Talking" Triples to Museum Chatbots. - Savvas Varitimiadis; Konstantinos Kotis; Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionisis Margaris (HCI (35), 2020)

An Adaptive Social Network-Aware Collaborative Filtering Algorithm for Improved Rating Prediction Accuracy. - Dionisis Margaris; Anna Kobusinska; Dimitris Spiliotopoulos; Costas Vassilakis 001 (IEEE Access, 2020)

An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings. - Dionisis Margaris; Dimitris Spiliotopoulos; Gregory Karagiorgos; Costas Vassilakis 001 (Algorithms, 2020)

Data-Assisted Persona Construction Using Social Media Data. - Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001 (Big Data Cogn. Comput., 2020)

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. - Costas Vassilakis 001; Konstantinos Kotis; Dimitris Spiliotopoulos; Dionisis Margaris; Vlasios Kasapakis; Christos-Nikolaos Anagnostopoulos; Georgios M. Santipantakis; George A. Vouros; Theodore Kotsilieris; Volha Petukhova; Andrei Malchanau; Ioanna Lykourentzou; et al. (Big Data Cogn. Comput., 2020)

Improving collaborative filtering's rating prediction coverage in sparse datasets by exploiting the 'friend of a friend' concept. - Dionisis Margaris; Costas Vassilakis 001 (Int. J. Big Data Intell., 2020)

Improving collaborative filtering's rating prediction accuracy by considering users' dynamic rating variability. - Dionisis Margaris; Costas Vassilakis 001 (Int. J. Big Data Intell., 2020)

An integer programming-based algorithm for optimising the WS-BPEL scenario execution adaptation process. - Dionisis Margaris; Dimitris Spiliotopoulos; Apostolos Kardiasmenos; Dimitrios Pantazopoulos (Int. J. Web Eng. Technol., 2020)

Multimodal Interaction: Correlates of Learners' Metacognitive Skill Training Negotiation Experience. - Dimitris Spiliotopoulos; Eleni Makri; Costas Vassilakis 001; Dionisis Margaris (Inf., 2020)

What makes a review a reliable rating in recommender systems? - Dionisis Margaris; Costas Vassilakis 001; Dimitris Spiliotopoulos (Inf. Process. Manag., 2020)

Human behaviour in multimodal interaction: main effects of civic action and interpersonal and problem-solving skills. - Eleni Makri; Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionisis Margaris (J. Ambient Intell. Humaniz. Comput., 2020)

A fine-grained social network recommender system. - Markos Aivazoglou; Antonios O. Roussos; Dionisis Margaris; Costas Vassilakis 001; Sotiris Ioannidis; Jason Polakis; Dimitris Spiliotopoulos (Soc. Netw. Anal. Min., 2020)

A User Interface for Personalising WS-BPEL Scenarios. - Dionisis Margaris; Dimitris Spiliotopoulos; Dionysios Vasilopoulos; Costas Vassilakis 001 (HCI (22), 2021)

An Interface for User-Centred Process and Correlation Between Large Datasets. - Dimitris Spiliotopoulos; Tauheodoros Giannakopoulos; Costas Vassilakis 001; Manolis Wallace; Marina Lantzouni; Vassilis Poulopoulos; Dionisis Margaris (HCI (18), 2021)

Trust- and Rating- based Recommendations for On-line Social Networks. - Anna Kobusinska; Dionisis Margaris; Jakub Peikert (ICCCN, 2021)

On Addressing the Low Rating Prediction Coverage in Sparse Datasets Using Virtual Ratings. - Dionisis Margaris; Dimitris Spiliotopoulos; Gregory Karagiorgos; Costas Vassilakis 001; Dionysios Vasilopoulos (SN Comput. Sci., 2021)

A Quality of Experience Illustrator User Interface for Cloud Provider Recommendations. - Panagiotis C. Kokkinos; Dionisis Margaris; Dimitris Spiliotopoulos (HCI (37), 2022)

Anchoring Effect Mitigation for Complex Recommender System Design. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (HCI (41), 2022)

Persona Finetuning for Online Gaming Using Personalisation Techniques. - Dimitris Spiliotopoulos; Dionisis Margaris; Kostas N. Koutrakis; Panos I. Philippopoulos; Costas Vassilakis 001 (HCI (42), 2022)

On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets. - Dionisis Margaris; Costas Vassilakis 001; Dimitris Spiliotopoulos (Inf., 2022)

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

On Exploiting Rating Prediction Accuracy Features in Dense Collaborative Filtering Datasets. - Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001 (Inf., 2022)

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

A User Interface for Tuning QoS Parameters in Recommendation-Based Business Process Scenario Adaptation. - Kiriakos Sgardelis; Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (WEBIST, 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)

Improving collaborative filtering's rating prediction accuracy by introducing the experiencing period criterion. - Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001; Dionysios Vasilopoulos (Neural Comput. Appl., 2023)

Disruptive Technologies for Parliaments: A Literature Review. - Dimitris Koryzis; Dionisis Margaris; Costas Vassilakis 001; Konstantinos Kotis; Dimitris Spiliotopoulos (Future Internet, 2023)

Chatbots for Cultural Venues: A Topic-Based Approach. - Vasilis Bouras; Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001; Konstantinos Kotis; Angeliki Antoniou; George Lepouras; Manolis Wallace; Vassilis Poulopoulos (Algorithms, 2023)

Predicting Agricultural Product and Supplies Prices Using Artificial Intelligence. - Ioannis Dionissopoulos; Fotis Assimakopoulos; Dimitris Spiliotopoulos; Dionisis Margaris; Costas Vassilakis 001 (KMIS, 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)

Exploiting Rating Prediction Certainty for Recommendation Formulation in Collaborative Filtering. - Dionisis Margaris; Kiriakos Sgardelis; Dimitris Spiliotopoulos; Costas Vassilakis 001 (Big Data Cogn. Comput., 2024)

The Implementation of "Smart" Technologies in the Agricultural Sector: A Review. - Fotis Assimakopoulos; Costas Vassilakis 001; Dionisis Margaris; Konstantinos Kotis; Dimitris Spiliotopoulos (Inf., 2024)

From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes. - Dionisis Margaris; Costas Vassilakis 001; Dimitris Spiliotopoulos (Big Data Cogn. Comput., 2025)

An evaluation review of user similarity metrics in sparse collaborative filtering datasets. - Kiriakos Sgardelis; Dionisis Margaris; Dimitris Spiliotopoulos; Costas Vassilakis 001 (Int. J. Data Sci. Anal., 2025)