Natalia Díaz Rodríguez
Orcid: 0000-0003-3362-9326
According to our database1,
Natalia Díaz Rodríguez
authored at least 71 papers
between 2011 and 2024.
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Bibliography
2024
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning.
Cogn. Comput., January, 2024
2023
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
Inf. Fusion, November, 2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring.
Signal Image Video Process., June, 2023
Inf. Process. Manag., May, 2023
Inf. Process. Manag., May, 2023
Feature contribution alignment with expert knowledge for artificial intelligence credit scoring.
Signal Image Video Process., March, 2023
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values.
Knowl. Based Syst., 2023
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023
2022
Explaining <i>Aha!</i> moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI.
Neural Networks, 2022
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification.
Knowl. Based Syst., 2022
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries.
Inf. Sci., 2022
EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion, 2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.
CoRR, 2022
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values.
IEEE Comput. Intell. Mag., 2022
OG-SGG: Ontology-Guided Scene Graph Generation - A Case Study in Transfer Learning for Telepresence Robotics.
IEEE Access, 2022
Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models.
Proceedings of the 14th International Conference on Management of Digital EcoSystems, 2022
On Young Children's Exploration, Aha! Moments and Explanations in Model Building for Self-Regulated Problem-Solving.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics.
CoRR, 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization.
CoRR, 2021
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts.
CoRR, 2021
2020
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.
Inf. Fusion, 2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Frontiers Big Data, 2020
CoRR, 2020
CoRR, 2020
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models.
CoRR, 2020
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020
2019
Proceedings of the Enhanced Living Environments, 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.
CoRR, 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics.
CoRR, 2019
Towards Explainable Neural-Symbolic Visual Reasoning.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019
Deep unsupervised state representation learning with robotic priors: a robustness analysis.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Frontiers Neurorobotics, 2018
CoRR, 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.
CoRR, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018
2017
Unsupervised understanding of location and illumination changes in egocentric videos.
Pervasive Mob. Comput., 2017
Unsupervised state representation learning with robotic priors: a robustness benchmark.
CoRR, 2017
Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
2016
Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living.
PhD thesis, 2016
J. Sensors, 2016
An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016
A semantic security framework and context-aware role-based access control ontology for smart spaces.
Proceedings of the International Workshop on Semantic Big Data, 2016
2015
Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards.
Proceedings of the Recent Advances in Ambient Assisted Living, 2015
2014
J. Supercomput., 2014
Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method.
Sensors, 2014
Knowl. Based Syst., 2014
Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014
2013
Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Rapid prototyping of semantic applications in smart spaces with a visual rule language.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013
2011
Programming biomedical smart space applications with <i>BioImageXD</i> and <i>PythonRules</i>.
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences, 2011
Proceedings of the 11th Annual International Symposium on Applications and the Internet, 2011
Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2011