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12/07/2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models
Automated Machine Learning-based systems' integration into a wide range ...
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07/05/2022
Local Multi-Label Explanations for Random Forest
Multi-label classification is a challenging task, particularly in domain...
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04/29/2022
Local Explanation of Dimensionality Reduction
Dimensionality reduction (DR) is a popular method for preparing and anal...
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04/13/2021
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information
Artificial Intelligence (AI) has a tremendous impact on the unexpected g...
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04/13/2021
Conclusive Local Interpretation Rules for Random Forests
In critical situations involving discrimination, gender inequality, econ...
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03/31/2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
The use of machine learning rapidly increases in high-risk scenarios whe...
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10/15/2020
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
Interpretable machine learning is an emerging field providing solutions ...
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07/19/2020
Mechanism Design for Efficient Online and Offline Allocation of Electric Vehicles to Charging Stations
We study the problem of allocating Electric Vehicles (EVs) to charging s...
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12/26/2019
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Object perception is a fundamental sub-field of Computer Vision, coverin...
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11/20/2019
LionForests: Local Interpretation of Random Forests through Path Selection
Towards a future where machine learning systems will integrate into ever...
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01/27/2018
SWRL2SPIN: A tool for transforming SWRL rule bases in OWL ontologies to object-oriented SPIN rules
SWRL is a semantic web rule language that combines OWL ontologies with H...
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10/21/2014