Explainable AI

Russakovsky O., Et al., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, 115, 3, pp. 211-252, (2015)

Ethics guidelines for trustworthy AI

Guidotti R., Et al., A Survey of Methods for Explaining Black Box Models, ACM Computing Surveys, 51, 5, pp. 1-42

Maruhashi K., Et al., Learning Multi-Way Relations via Tensor Decomposition with Neural Networks, Proceedings of Thirty-Second AAAI Conference on Artificial Intelligence, (2018)

Ribeiro M.T., Et al., Why Should I Trust You?: Explaining the Predictions of Any Classifier, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135-1144, (2016)

Linked Open Vocabularies

MED2RDF

Visual Genome

Dornadula A., Et al., Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction, (2019)

Russakovsky O., Et al., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, 115, 3, pp. 211-252, (2015)

Ethics guidelines for trustworthy AI

Guidotti R., Et al., A Survey of Methods for Explaining Black Box Models, ACM Computing Surveys, 51, 5, pp. 1-42

Maruhashi K., Et al., Learning Multi-Way Relations via Tensor Decomposition with Neural Networks, Proceedings of Thirty-Second AAAI Conference on Artificial Intelligence, (2018)

Ribeiro M.T., Et al., Why Should I Trust You?: Explaining the Predictions of Any Classifier, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135-1144, (2016)

Linked Open Vocabularies

MED2RDF

Visual Genome

Dornadula A., Et al., Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction, (2019)