| SPARQL query answering over OWL ontologies I Kollia, B Glimm, I Horrocks The Semantic Web: Research and Applications: 8th Extended Semantic Web …, 2011 | 181 | 2011 |
| Deep transparent prediction through latent representation analysis D Kollias, N Bouas, Y Vlaxos, V Brillakis, M Seferis, I Kollia, L Sukissian, ... arXiv preprint arXiv:2009.07044, 2020 | 102 | 2020 |
| Transparent adaptation in deep medical image diagnosis D Kollias, Y Vlaxos, M Seferis, I Kollia, L Sukissian, J Wingate, S Kollias Trustworthy AI-Integrating Learning, Optimization and Reasoning: First …, 2021 | 101 | 2021 |
| Unified deep learning approach for prediction of Parkinson's disease J Wingate, I Kollia, L Bidaut, S Kollias IET Image Processing 14 (10), 1980-1989, 2020 | 70 | 2020 |
| Optimizing SPARQL query answering over OWL ontologies I Kollia, B Glimm Journal of artificial intelligence research 48, 253-303, 2013 | 69 | 2013 |
| Predicting Parkinson’s disease using latent information extracted from deep neural networks I Kollia, AG Stafylopatis, S Kollias 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 46 | 2019 |
| Ai-enabled efficient and safe food supply chain I Kollia, J Stevenson, S Kollias Electronics 10 (11), 1223, 2021 | 40 | 2021 |
| A systemic approach for effective semantic access to cultural content I Kollia, V Tzouvaras, N Drosopoulos, G Stamou Semantic Web 3 (1), 65-83, 2012 | 31 | 2012 |
| A deep learning approach for load demand forecasting of power systems I Kollia, S Kollias 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 912-919, 2018 | 19 | 2018 |
| Lower and upper bounds for SPARQL queries over OWL ontologies B Glimm, Y Kazakov, I Kollia, G Stamou Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 17 | 2015 |
| Semantic image analysis using a symbolic neural architecture I Kollia, N Simou, A Stafylopatis, S Kollias Image Analysis and Stereology 29 (3), 159-172, 2010 | 16 | 2010 |
| Improving Semantic Search in Digital Libraries Using Multimedia Analysis. I Kollia, Y Kalantidis, K Rapantzikos, A Stafylopatis Journal of Multimedia 7 (2), 2012 | 14 | 2012 |
| Query answering over SROIQ knowledge bases with SPARQL I Kollia, B Glimm, I Horrocks Proceedings of the 24th International Workshop on Description Logics …, 2011 | 14 | 2011 |
| Using the TBox to Optimise SPARQL Queries. B Glimm, Y Kazakov, I Kollia, GB Stamou Description Logics 1014 (181-196), 11, 2013 | 13 | 2013 |
| Cost based query ordering over OWL ontologies I Kollia, B Glimm International Semantic Web Conference, 231-246, 2012 | 13 | 2012 |
| Interweaving knowledge representation and adaptive neural networks I Kollia, N Simou, G Stamou, A Stafylopatis Proceedings of the Workshop on Inductive Reasoning and Machine Learning on …, 2009 | 13 | 2009 |
| Using the IBM Watson cognitive system in educational contexts I Kollia, G Siolas 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 12 | 2016 |
| Answering Queries over OWL Ontologies with SPARQL. I Kollia, B Glimm, I Horrocks OWLED, 2011 | 12 | 2011 |
| A unified deep learning approach for prediction of parkinson’s disease S Kollias, L Bidaut, J Wingate, I Kollia University of Lincoln, 2020 | 4 | 2020 |
| Semantic query answering in digital libraries I Kollia, K Rapantzikos, G Stamou, A Stafylopatis Artificial Intelligence: Theories and Applications: 7th Hellenic Conference …, 2012 | 2 | 2012 |
