Ioannis Papantonis

13 papers A 1B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Why not both? Complementing explanations with uncertainty, and self-confidence in human-AI collaboration.
Frontiers Comput. Sci.
Ioannis Papantonis, Vaishak Belle
2024 J jnl
Principled diverse counterfactuals in multilinear models.
Mach. Learn.
Ioannis Papantonis, Vaishak Belle
2023 — conf
Model Transparency: Why Do We Care?
ICAART (3)
Ioannis Papantonis, Vaishak Belle
2023 A conf
Transparency in Sum-Product Network Decompilation.
ECAI
Ioannis Papantonis, Vaishak Belle
2023 J jnl
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration.
CoRR
Ioannis Papantonis, Vaishak Belle
2022 J jnl
Explainability in Machine Learning: a Pedagogical Perspective.
CoRR
Andreas C. Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle
2022 J jnl
Principled Diverse Counterfactuals in Multilinear Models.
CoRR
Ioannis Papantonis, Vaishak Belle
2021 J jnl
Closed-Form Results for Prior Constraints in Sum-Product Networks.
Frontiers Artif. Intell.
Ioannis Papantonis, Vaishak Belle
2021 J jnl
Principles and Practice of Explainable Machine Learning.
Frontiers Big Data
Vaishak Belle, Ioannis Papantonis
2020 J jnl
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations.
CoRR
Ioannis Papantonis, Vaishak Belle
2020 J jnl
On Constraint Definability in Tractable Probabilistic Models.
CoRR
Ioannis Papantonis, Vaishak Belle
2020 J jnl
Principles and Practice of Explainable Machine Learning.
CoRR
Vaishak Belle, Ioannis Papantonis
2018 B conf
Personalization of monitoring system parameters to support ambulatory care for dementia patients.
SAS
Markus Schinle, Ioannis Papantonis, Wilhelm Stork
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski