Publications
Export 33 results:
Author Title Type [ Year
] Filters: Author is Dimitris Spiliotopoulos [Clear All Filters]
.
2019. Citizen Engagement for Transparent and Accountable Policy Modelling. Proceedings of the 11th International Conference on Management of Digital EcoSystems (MEDES'19).
.
2019. Data-driven Country Safety Monitoring Terrorist Attack Prediction. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019).
.
2019. Improving Collaborative Filtering’s Rating Prediction Accuracy by Introducing the Common Item Rating Past Criterion. Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA2019).
.
2019. Improving Collaborative Filtering’s Rating Prediction Coverage in Sparse Datasets through the Introduction of Virtual Near Neighbors. Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA2019).
.
2019. Improving Collaborative Filtering’s Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence.
.
2019. A Methodology for Generated Text Annotation for High Quality Speech Synthesis. Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA2019).
.
2019. A Mixed-reality Interaction-driven Game-based Learning Framework. Proceedings of the 11th International Conference on Management of Digital EcoSystems (MEDES'19).
.
2019. Social Relations versus Near Neighbours: Reliable Recommenders in Limited Information Social Network Collaborative Filtering for Online Advertising. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019).
.
2020. An Adaptive Social Network-Aware Collaborative Filtering Algorithm for Improved Rating Prediction Accuracy. IEEE Access. 8:68301–68310.
.
2020. An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings. Algorithms. 13:174.
.
2020. Data-Assisted Persona Construction Using Social Media Data. Big Data and Cognitive Computing. 4:21.
.
2020. A Fine-grained Social Network Recommender System. Social Network Analysis and Mining. 10(8)
.
2020. From Smart Cities to Smart Rural Country: challenges and sustainability. Extended abstract Presentation in the 15th National and International Conderence of the Hellenic Society for Systemic Studies.
.
2020. MOOC Accessibility from the Educator Perspective. Proceedings of the 22nd International Conference on Human-Computer Interaction.
.
2020. Multimodal Interaction: Correlates of Learners' Metacognitive Skill Training Negotiation Experience. Information. 11:381.
.
2020. Policy Making Analysis and Practitioner User Experience. Proceedings of the 22nd International Conference on Human-Computer Interaction.
.
2020. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data and Cognitive Computing. 4:6.
.
2020. Semantics-Driven Conversational Interfaces for Museum Chatbots. Proceedings of the 22nd International Conference on Human-Computer Interaction, volume "Culture and Computing".
.
2020. “Talking” Triples to Museum Chatbots. Proceedings of the 22nd International Conference on Human-Computer Interaction, volume "Culture and Computing".
.
2020. A User Interface for Personalized Web Service Selection in Business Processes. Lecture Notes in Computer Science.
.
2020. What makes a review a reliable rating in recommender systems? Information Processing & Management. 57(6):102304.
.
2021. Augmenting Black Sheep Neighbour Importance for Enhancing Rating Prediction Accuracy in Collaborative Filtering. Applied Sciences. 11:8369.
.
2021. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods. Lecture Notes in Social Networks. :51–76.
.
2021. Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information. Lecture Notes in Social Networks. :77–100.