Towards multi-modal causability with graph neural networks enabling information fusion for explainable AI A Holzinger, B Malle, A Saranti, B Pfeifer Information Fusion 71, 28-37, 2021 | 293 | 2021 |
Explainable AI methods-a brief overview A Holzinger, A Saranti, C Molnar, P Biecek, W Samek International workshop on extending explainable AI beyond deep models and …, 2022 | 247 | 2022 |
Digital transformation in smart farm and forest operations needs human-centered AI: challenges and future directions A Holzinger, A Saranti, A Angerschmid, CO Retzlaff, A Gronauer, ... Sensors 22 (8), 3043, 2022 | 67 | 2022 |
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions M Hudec, E Mináriková, R Mesiar, A Saranti, A Holzinger Knowledge-Based Systems 220, 106916, 2021 | 50 | 2021 |
GNN-SubNet: disease subnetwork detection with explainable graph neural networks B Pfeifer, A Saranti, A Holzinger Bioinformatics 38 (Supplement_2), ii120-ii126, 2022 | 36 | 2022 |
On using markov chain to evidence the learning structures and difficulty levels of one digit multiplication B Taraghi, M Ebner, A Saranti, M Schön Proceedings of the Fourth International Conference on Learning Analytics And …, 2014 | 27 | 2014 |
Actionable explainable AI (AxAI): a practical example with aggregation functions for adaptive classification and textual explanations for interpretable machine learning A Saranti, M Hudec, E Mináriková, Z Takáč, U Großschedl, C Koch, ... Machine Learning and Knowledge Extraction 4 (4), 924-953, 2022 | 22 | 2022 |
Towards a Learning-Aware Application Guided by Hierarchical Classification of Learner Profiles. B Taraghi, A Saranti, M Ebner, V Mueller, A Grossmann J. Univers. Comput. Sci. 21 (1), 93-109, 2015 | 22 | 2015 |
Insights into learning competence through probabilistic graphical models A Saranti, B Taraghi, M Ebner, A Holzinger Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4 …, 2019 | 20 | 2019 |
Explainable AI methods-a brief overview. In xxAI-Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and … A Holzinger, A Saranti, C Molnar, P Biecek, W Samek Cham: Springer International Publishing, 2022 | 18 | 2022 |
Seven features of smart learning analytics-lessons learned from four years of research with learning analytics M Ebner, B Taraghi, A Saranti, S Schön eLearning papers 40, 51-55, 2015 | 18 | 2015 |
Generating explanations for conceptual validation of graph neural networks: An investigation of symbolic predicates learned on relevance-ranked sub-graphs B Finzel, A Saranti, A Angerschmid, D Tafler, B Pfeifer, A Holzinger KI-Künstliche Intelligenz 36 (3), 271-285, 2022 | 17 | 2022 |
Multi-omics disease module detection with an explainable Greedy Decision Forest B Pfeifer, H Baniecki, A Saranti, P Biecek, A Holzinger Scientific reports 12 (1), 16857, 2022 | 17 | 2022 |
A practical tutorial on explainable AI techniques A Bennetot, I Donadello, AE Qadi, M Dragoni, T Frossard, B Wagner, ... arXiv preprint arXiv:2111.14260, 2021 | 17 | 2021 |
Markov chain and classification of difficulty levels enhances the learning path in one digit multiplication B Taraghi, A Saranti, M Ebner, M Schön Learning and Collaboration Technologies. Designing and Developing Novel …, 2014 | 17 | 2014 |
On generating trustworthy counterfactual explanations J Del Ser, A Barredo-Arrieta, N Díaz-Rodríguez, F Herrera, A Saranti, ... Information Sciences 655, 119898, 2024 | 15 | 2024 |
KANDINSKYPatterns--An experimental exploration environment for Pattern Analysis and Machine Intelligence A Holzinger, A Saranti, H Mueller arXiv preprint arXiv:2103.00519, 2021 | 13 | 2021 |
Podcasting at TU Graz-How to implement podcasting as a didactical method for teaching and learning purposes at a university of technology W Nagler, A Saranti, M Ebner EdMedia+ Innovate Learning, 3858-3863, 2008 | 12 | 2008 |
Toward human-level concept learning: Pattern benchmarking for AI algorithms A Holzinger, A Saranti, A Angerschmid, B Finzel, U Schmid, H Mueller Patterns, 2023 | 11 | 2023 |
Property-based testing for parameter learning of probabilistic graphical models A Saranti, B Taraghi, M Ebner, A Holzinger Machine Learning and Knowledge Extraction: 4th IFIP TC 5, TC 12, WG 8.4, WG …, 2020 | 10 | 2020 |