Natalia Díaz Rodríguez

88 papers B 3C 3Misc 1Journal 65Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Practical Tutorial on Explainable AI Techniques. ACM Comput. Surv. Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz Rodríguez
2025	J	`jnl`	Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks. CoRR Oier Mentxaka, Natalia Díaz Rodríguez, Mark Coeckelbergh, Marcos López de Prado, Emilia Gómez, David Fernández Llorca, Enrique Herrera-Viedma, Francisco Herrera
2025	B	`conf`	CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs. IJCNN David Méndez, Gianpaolo Bontempo, Elisa Ficarra, Roberto Confalonieri, Natalia Díaz Rodríguez
2025	J	`jnl`	CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs. CoRR David Méndez, Gianpaolo Bontempo, Elisa Ficarra, Roberto Confalonieri, Natalia Díaz Rodríguez
2025	J	`jnl`	On the disagreement problem in Human-in-the-Loop federated machine learning. J. Ind. Inf. Integr. Matthias Huelser, Heimo Müller, Natalia Díaz Rodríguez, Andreas Holzinger
2024	J	`jnl`	Generating Physically-Consistent Satellite Imagery for Climate Visualizations. IEEE Trans. Geosci. Remote. Sens. Björn Lütjens, Brandon Leshchinskiy, Océane Boulais, Farrukh Chishtie, Natalia Díaz Rodríguez, Margaux Masson-Forsythe, Ana Mata-Payerro, Christian Requena-Mesa, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava J. Newman
2024	J	`jnl`	On generating trustworthy counterfactual explanations. Inf. Sci. Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger
2024	J	`jnl`	Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. Cogn. Comput. Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
2023	J	`jnl`	Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation. CoRR Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
2023	J	`jnl`	Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Inf. Fusion Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
2023	J	`jnl`	Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. Ayoub El Qadi, Maria Trocan, Natalia Díaz Rodríguez, Thomas Frossard
2023	B	`conf`	Credit Risk Scoring Using a Data Fusion Approach. ICCCI Ayoub El Qadi, Maria Trocan, Patricia Conde Céspedes, Thomas Frossard, Natalia Díaz Rodríguez
2023	J	`jnl`	Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion Sajid Ali, Tamer AbuHmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera
2023	J	`jnl`	Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. Ayoub El Qadi, Maria Trocan, Natalia Díaz Rodríguez, Thomas Frossard
2023	J	`jnl`	Gender and sex bias in COVID-19 epidemiological data through the lens of causality. Inf. Process. Manag. Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila
2023	J	`jnl`	Responsible and human centric AI-based insurance advisors. Inf. Process. Manag. Galena Pisoni, Natalia Díaz Rodríguez
2023	J	`jnl`	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. Giorgio Angelotti, Natalia Díaz Rodríguez
2023	J	`jnl`	Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. CoRR Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
2022	C	`conf`	Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CD-MAKE Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez
2022	J	`jnl`	Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CoRR Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez
2022	J	`jnl`	Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values. IEEE Comput. Intell. Mag. Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
2022	J	`jnl`	EXplainable Neural-Symbolic Learning ( Inf. Fusion Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2022	J	`jnl`	Explaining Neural Networks Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez
2022	J	`jnl`	Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger
2022	J	`jnl`	Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
2022	J	`jnl`	Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
2022	J	`jnl`	Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez
2022	J	`jnl`	OG-SGG: Ontology-Guided Scene Graph Generation - A Case Study in Transfer Learning for Telepresence Robotics. IEEE Access Fernando Amodeo, Fernando Caballero, Natalia Díaz Rodríguez, Luis Merino
2022	J	`jnl`	OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics. CoRR Fernando Amodeo, Fernando Caballero, Natalia Díaz Rodríguez, Luis Merino
2022	—	`conf`	On Young Children's Exploration, Aha! Moments and Explanations in Model Building for Self-Regulated Problem-Solving. EBeM@IJCAI Vicky Charisi, Natalia Díaz Rodríguez, Barbara Mawhin, Luis Merino
2022	J	`jnl`	PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez
2022	C	`conf`	Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. MEDES Ayoub El Qadi, Maria Trocan, Thomas Frossard, Natalia Díaz Rodríguez
2022	J	`jnl`	Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. CoRR Giorgio Angelotti, Natalia Díaz Rodríguez
2021	J	`jnl`	A Practical Tutorial on Explainable AI Techniques. CoRR Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez
2021	J	`jnl`	Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values. CoRR Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
2021	J	`jnl`	EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2021	J	`jnl`	Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez
2021	J	`jnl`	Explainability in deep reinforcement learning. Knowl. Based Syst. Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
2021	J	`jnl`	Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez
2021	J	`jnl`	Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. CoRR Ayoub El Qadi, Natalia Díaz Rodríguez, Maria Trocan, Thomas Frossard
2021	J	`jnl`	Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. CoRR Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava J. Newman
2021	J	`jnl`	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 Natalia Díaz Rodríguez, Ruta Binkyte-Sadauskiene, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja G. Chatila
2020	—	`conf`	Accessible Cultural Heritage through Explainable Artificial Intelligence. UMAP (Adjunct Publication) Natalia Díaz Rodríguez, Galena Pisoni
2020	J	`jnl`	Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
2020	J	`jnl`	DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
2020	J	`jnl`	Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models. CoRR Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou, Natalia Díaz Rodríguez
2020	J	`jnl`	Explainability in Deep Reinforcement Learning. CoRR Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
2020	J	`jnl`	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
2020	J	`jnl`	Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi
2020	J	`jnl`	Physics-informed GANs for Coastal Flood Visualization. CoRR Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava J. Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi
2020	J	`jnl`	Should artificial agents ask for help in human-robot collaborative problem-solving? CoRR Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez
2019	J	`jnl`	Continual Learning for Robotics. CoRR Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
2019	J	`jnl`	Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
2019	B	`conf`	Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
2019	J	`jnl`	Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. CoRR Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez
2019	—	`ch.`	RDF Stores for Enhanced Living Environments: An Overview. Enhanced Living Environments Petteri Karvinen, Natalia Díaz Rodríguez, Stefan Grönroos, Johan Lilius
2019	—	`conf`	Towards Explainable Neural-Symbolic Visual Reasoning. NeSy@IJCAI Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez
2018	—	`conf`	Datil: Learning Fuzzy Ontology Datatypes. IPMU (2) Ignacio Huitzil, Umberto Straccia, Natalia Díaz Rodríguez, Fernando Bobillo
2018	J	`jnl`	Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni
2018	J	`jnl`	Intelligent Drone Swarm for Search and Rescue Operations at Sea. CoRR Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz Rodríguez
2018	J	`jnl`	Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
2018	J	`jnl`	S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
2018	J	`jnl`	State Representation Learning for Control: An Overview. CoRR Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
2018	J	`jnl`	State representation learning for control: An overview. Neural Networks Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
2017	—	`conf`	Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. AKBC@NIPS Natalia Díaz Rodríguez, Aki Härmä, Ignacio Huitzil, Fernando Bobillo, Umberto Straccia, Rim Helaoui
2017	J	`jnl`	Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
2017	J	`jnl`	Unsupervised understanding of location and illumination changes in egocentric videos. Pervasive Mob. Comput. Alejandro Betancourt, Natalia Díaz Rodríguez, Emilia I. Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo S. Regazzoni
2016	—	`conf`	A semantic security framework and context-aware role-based access control ontology for smart spaces. SBD@SIGMOD Shohreh Hosseinzadeh, Seppo Virtanen, Natalia Díaz Rodríguez, Johan Lilius
2016	—	`conf`	An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development. WCSC Natalia Díaz Rodríguez, Stefan Grönroos, Frank Wickström, Johan Lilius, Henk Eertink, Andreas Braun, Paul Dillen, James Crowley, Jan Alexandersson
2016	—	`—`	Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living. Natalia Díaz Rodríguez
2016	J	`jnl`	Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos. CoRR Alejandro Betancourt, Natalia Díaz Rodríguez, Emilia I. Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo S. Regazzoni
2016	J	`jnl`	Validation Techniques for Sensor Data in Mobile Health Applications. J. Sensors Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Natalia Díaz Rodríguez
2015	—	`ch.`	Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards. Recent Advances in Ambient Assisted Living N. A. Khan, Natalia Díaz Rodríguez, Riitta Danielsson-Ojala, Hanna Pirinen, Lotta Kauhanen, Sanna Salanterä, Joachim Majors, Sebu Björklund, Kimmo Rautanen, Tapio Salakoski, Ilona Tuominen, Ivan Porres, Johan Lilius
2014	J	`jnl`	A fuzzy ontology for semantic modelling and recognition of human behaviour. Knowl. Based Syst. Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2014	C	`conf`	Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response. Healthcom Natalia Díaz Rodríguez, Johan Lilius, Sebu Björklund, Joachim Majors, Kimmo Rautanen, Riitta Danielsson-Ojala, Hanna Pirinen, Lotta Kauhanen, Sanna Salanterä, Tapio Salakoski, Ilona Tuominen
2014	J	`jnl`	Erratum to: Exploiting smart spaces for interactive TV applications development. J. Supercomput. M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius
2014	J	`jnl`	Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method. Sensors Natalia Díaz Rodríguez, Olmo León Cadahía, Manuel Pegalajar Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2013	J	`jnl`	A survey on ontologies for human behavior recognition. ACM Comput. Surv. Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2013	—	`conf`	An approach to improve semantics in Smart Spaces using reactive fuzzy rules. IFSA/NAFIPS Natalia Díaz Rodríguez, Johan Lilius, Manuel P. Cuéllar, Miguel Delgado Calvo-Flores
2013	Misc	`conf`	Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability. DCAI Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
2013	—	`conf`	Rapid prototyping of semantic applications in smart spaces with a visual rule language. UbiComp (Adjunct Publication) Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
2013	—	`conf`	Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. UCAmI Natalia Díaz Rodríguez, Robin Wikström, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
2011	—	`conf`	A Framework for Context-Aware Applications for Smart Spaces. NEW2AN M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius, Ivan Porres
2011	—	`conf`	A Framework for Context-Aware Applications for Smart Spaces. SAINT Natalia Díaz Rodríguez
2011	—	`conf`	Programming biomedical smart space applications with SWAT4LS Natalia Díaz Rodríguez, Pasi Kankaanpää, M. Mohsin Saleemi, Johan Lilius, Ivan Porres