Anna Saranti
Orcid: 0000-0002-1085-8428
According to our database1,
Anna Saranti
authored at least 32 papers
between 2008 and 2024.
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Bibliography
2024
col-LAUT - Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands.
Dataset, February, 2024
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.
J. Artif. Intell. Res., 2024
2023
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Bioinform., October, 2023
Patterns, August, 2023
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.
Proceedings of the Machine Learning and Knowledge Extraction, 2023
Proceedings of the Machine Learning and Knowledge Extraction, 2023
2022
Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.
Mach. Learn. Knowl. Extr., December, 2022
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.
Sensors, 2022
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.
Künstliche Intell., 2022
Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions.
Knowl. Based Syst., 2021
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI.
Inf. Fusion, 2021
Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI.
CoRR, 2021
CoRR, 2021
KANDINSKYPatterns - An experimental exploration environment for Pattern Analysis and Machine Intelligence.
CoRR, 2021
2020
Proceedings of the 24th International Conference on Information Visualisation, 2020
Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches.
Proceedings of the Intelligent Systems in Industrial Applications, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
Proceedings of the Machine Learning and Knowledge Extraction, 2019
2016
Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
2015
Towards a Learning-Aware Application Guided by Hierarchical Classification of Learner Profiles.
J. Univers. Comput. Sci., 2015
2014
On using markov chain to evidence the learning structures and difficulty levels of one digit multiplication.
Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014
Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication.
Proceedings of the Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences, 2014
Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014
2009
Proceedings of the Auditory Display, 6th International Symposium, 2009
2008
Proceedings of the 2008 International Computer Music Conference, 2008