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ORCIDIoannis Papantonis
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2020 – today
- 2024
[j3]Ioannis Papantonis
, Vaishak Belle:
Principled diverse counterfactuals in multilinear models. Mach. Learn. 113(3): 1421-1443 (2024)- 2023
- [c3]Ioannis Papantonis, Vaishak Belle:
Transparency in Sum-Product Network Decompilation. ECAI 2023: 1827-1834 - [c2]Ioannis Papantonis, Vaishak Belle:
Model Transparency: Why Do We Care? ICAART (3) 2023: 650-657 - [i6]Ioannis Papantonis, Vaishak Belle:
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration. CoRR abs/2304.14130 (2023) - 2022
- [i5]Ioannis Papantonis, Vaishak Belle:
Principled Diverse Counterfactuals in Multilinear Models. CoRR abs/2201.06467 (2022) - [i4]Andreas C. Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle:
Explainability in Machine Learning: a Pedagogical Perspective. CoRR abs/2202.10335 (2022) - 2021
- [j2]Vaishak Belle, Ioannis Papantonis:
Principles and Practice of Explainable Machine Learning. Frontiers Big Data 4: 688969 (2021) - [j1]Ioannis Papantonis, Vaishak Belle:
Closed-Form Results for Prior Constraints in Sum-Product Networks. Frontiers Artif. Intell. 4: 644062 (2021) - 2020
- [i3]Ioannis Papantonis, Vaishak Belle:
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations. CoRR abs/2001.10905 (2020) - [i2]Ioannis Papantonis, Vaishak Belle:
On Constraint Definability in Tractable Probabilistic Models. CoRR abs/2001.11349 (2020) - [i1]Vaishak Belle, Ioannis Papantonis:
Principles and Practice of Explainable Machine Learning. CoRR abs/2009.11698 (2020)
2010 – 2019
- 2018
- [c1]Markus Schinle, Ioannis Papantonis, Wilhelm Stork:
Personalization of monitoring system parameters to support ambulatory care for dementia patients. SAS 2018: 1-6
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