| Knowledge graphs as tools for explainable machine learning: A survey I Tiddi, S Schlobach Artificial Intelligence 302, 103627, 2022 | 64 | 2022 |
| Good location, terrible food: detecting feature sentiment in user-generated reviews M Cataldi, A Ballatore, I Tiddi, MA Aufaure Social Network Analysis and Mining 3, 1149-1163, 2013 | 55 | 2013 |
| Dedalo: Looking for clusters explanations in a labyrinth of linked data I Tiddi, M d’Aquin, E Motta The Semantic Web: Trends and Challenges: 11th International Conference, ESWC …, 2014 | 45 | 2014 |
| Robot–city interaction: Mapping the research landscape—a survey of the interactions between robots and modern cities I Tiddi, E Bastianelli, E Daga, M d’Aquin, E Motta International Journal of Social Robotics 12, 299-324, 2020 | 41 | 2020 |
| An ontology design pattern to define explanations I Tiddi, M d'Aquin, E Motta Proceedings of the 8th International Conference on Knowledge Capture, 1-8, 2015 | 23 | 2015 |
| The cooperation databank G Spadaro, I Tiddi, S Columbus, S Jin, A ten Teije, D Balliet Manuscript in preparation, 2020 | 22 | 2020 |
| Knowledge Graphs for Explainable Artificial Intelligence: Foundations, Applications and Challenges I Tiddi, F Lécué, P Hitzler IOS Press, 2020 | 18 | 2020 |
| Walking linked data: a graph traversal approach to explain clusters I Tiddi, M d'Aquin, E Motta | 18 | 2014 |
| An ontology-based approach to improve the accessibility of ROS-based robotic systems I Tiddi, E Bastianelli, G Bardaro, M d'Aquin, E Motta Proceedings of the knowledge capture conference, 1-8, 2017 | 15 | 2017 |
| The Cooperation Databank: machine-readable science accelerates research synthesis G Spadaro, I Tiddi, S Columbus, S Jin, A Ten Teije, CoDa Team, D Balliet Perspectives on Psychological Science 17 (5), 1472-1489, 2022 | 13 | 2022 |
| Ontology learning from open linked data and web snippets I Tiddi, NB Mustapha, Y Vanrompay, MA Aufaure On the Move to Meaningful Internet Systems: OTM 2012 Workshops: Confederated …, 2012 | 13 | 2012 |
| Extracting knowledge from deep neural networks through graph analysis VAC Horta, I Tiddi, S Little, A Mileo Future Generation Computer Systems 120, 109-118, 2021 | 11 | 2021 |
| Data patterns explained with linked data I Tiddi, M d’Aquin, E Motta Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 10 | 2015 |
| Fostering scientific meta-analyses with knowledge graphs: A case-study I Tiddi, D Balliet, A ten Teije The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020 | 9 | 2020 |
| Quantifying the bias in data links I Tiddi, M d’Aquin, E Motta Knowledge Engineering and Knowledge Management: 19th International …, 2014 | 9 | 2014 |
| Task-agnostic object recognition for mobile robots through few-shot image matching A Chiatti, G Bardaro, E Bastianelli, I Tiddi, P Mitra, E Motta Electronics 9 (3), 380, 2020 | 8 | 2020 |
| Learning to assess linked data relationships using genetic programming I Tiddi, M d’Aquin, E Motta The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe …, 2016 | 8 | 2016 |
| Meet HanS, the Heath & Safety Autonomous Inspector. E Bastianelli, G Bardaro, I Tiddi, E Motta ISWC (P&D/Industry/BlueSky), 2018 | 7 | 2018 |
| A User-friendly Interface to Control ROS Robotic Platforms. I Tiddi, E Bastianelli, G Bardaro, E Motta ISWC (P&D/Industry/BlueSky), 2018 | 7 | 2018 |
| Explaining data patterns using knowledge from the web of data I Tiddi PQDT-UK & Ireland, 2016 | 7 | 2016 |
Enrico MottaProfessor of Knowledge Technologies, KMi, The Open UniversityEmail verificata su open.ac.uk
