Luca Costabello
Luca Costabello
Accenture Labs
Verified email at - Homepage
Cited by
Cited by
Interpretable credit application predictions with counterfactual explanations
RM Grath, L Costabello, CL Van, P Sweeney, F Kamiab, Z Shen, F Lecue
arXiv preprint arXiv:1811.05245, 2018
Knowledge graph embeddings and explainable AI
F Bianchi, G Rossiello, L Costabello, M Palmonari, P Minervini
Knowledge Graphs for Explainable Artificial Intelligence: Foundations …, 2020
AmpliGraph: a Library for Representation Learning on Knowledge Graphs
L Costabello, S Pai, C Le Van, R McGrath, N McCarthy, P Tabacof 2595043, 2019
Regularizing knowledge graph embeddings via equivalence and inversion axioms
P Minervini, L Costabello, E Muñoz, V Nováček, PY Vandenbussche
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
Context-Aware Access Control for RDF Graph Stores.
L Costabello, S Villata, F Gandon
ECAI 242, 282-287, 2012
Generating interpretable counterfactual explanations by implicit minimisation of epistemic and aleatoric uncertainties
L Schut, O Key, R Mc Grath, L Costabello, B Sacaleanu, Y Gal
International Conference on Artificial Intelligence and Statistics, 1756-1764, 2021
Probability calibration for knowledge graph embedding models
P Tabacof, L Costabello
arXiv preprint arXiv:1912.10000, 2019
Linked data access goes mobile: Context-aware authorization for graph stores
L Costabello, S Villata, N Delaforge, F Gandon
LDOW-5th WWW Workshop on Linked Data on the Web-2012, 2012
Access control for http operations on linked data
L Costabello, S Villata, O Rodriguez Rocha, F Gandon
The Semantic Web: Semantics and Big Data: 10th International Conference …, 2013
Accurate prediction of kinase-substrate networks using knowledge graphs
V Nováček, G McGauran, D Matallanas, A Vallejo Blanco, P Conca, ...
PLoS computational biology 16 (12), e1007578, 2020
Integrating user-generated content and pervasive communications
C Baladrón, J Aguiar, B Carro, A Sánchez-Esguevillas, M Baldauf, ...
IEEE Pervasive Computing 7 (4), 58-61, 2008
Learning embeddings from knowledge graphs with numeric edge attributes
S Pai, L Costabello
arXiv preprint arXiv:2105.08683, 2021
An artificial intelligence-based tool for data analysis and prognosis in cancer patients: results from the clarify study
M Torrente, PA Sousa, R Hernández, M Blanco, V Calvo, A Collazo, ...
Cancers 14 (16), 4041, 2022
Determining explanations for predicted links in knowledge graphs
L Costabello, F Lecue
US Patent 10,877,979, 2020
A social semantic web access control model
S Villata, L Costabello, N Delaforge, F Gandon
Journal on Data Semantics 2, 21-36, 2013
Data constraints for polyglot data tiers
L Costabello, J Umbrich, R Menday, PY Vandenbussche
US Patent App. 15/086,497, 2016
Adversarial attacks on knowledge graph embeddings via instance attribution methods
P Bhardwaj, J Kelleher, L Costabello, D O'Sullivan
arXiv preprint arXiv:2111.03120, 2021
Spamming in linked data
A Hasnain, M Al-Bakri, L Costabello, Z Cong, I Davis, T Heath
Third International Workshop on Consuming Linked Data (COLD2012), 2012
Poisoning knowledge graph embeddings via relation inference patterns
P Bhardwaj, J Kelleher, L Costabello, D O'Sullivan
arXiv preprint arXiv:2111.06345, 2021
Robust explanation constraints for neural networks
M Wicker, J Heo, L Costabello, A Weller
arXiv preprint arXiv:2212.08507, 2022
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