A Framework for Context-Aware Applications for Smart Spaces. - M. Mohsin Saleemi; Natalia Díaz Rodríguez; Johan Lilius; Ivan Porres (NEW2AN, 2011)

A Framework for Context-Aware Applications for Smart Spaces. - Natalia Díaz Rodríguez (SAINT, 2011)

Programming biomedical smart space applications with BioImageXD and PythonRules. - Natalia Díaz Rodríguez; Pasi Kankaanpää; M. Mohsin Saleemi; Johan Lilius; Ivan Porres (SWAT4LS, 2011)

Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability. - Natalia Díaz Rodríguez; Johan Lilius; Manuel Pegalajar Cuéllar; Miguel Delgado Calvo-Flores (DCAI, 2013)

Rapid prototyping of semantic applications in smart spaces with a visual rule language. - Natalia Díaz Rodríguez; Johan Lilius; Manuel Pegalajar Cuéllar; Miguel Delgado Calvo-Flores (UbiComp (Adjunct Publication), 2013)

An approach to improve semantics in Smart Spaces using reactive fuzzy rules. - Natalia Díaz Rodríguez; Johan Lilius; Manuel P. Cuéllar; Miguel Delgado Calvo-Flores (IFSA/NAFIPS, 2013)

Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. - Natalia Díaz Rodríguez; Robin Wikström; Johan Lilius; Manuel Pegalajar Cuéllar; Miguel Delgado Calvo-Flores (UCAmI, 2013)

A survey on ontologies for human behavior recognition. - Natalia Díaz Rodríguez; Manuel P. Cuéllar; Johan Lilius; Miguel Delgado Calvo-Flores (ACM Comput. Surv., 2013)

Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response. - Natalia Díaz Rodríguez; Johan Lilius; Sebu Björklund; Joachim Majors; Kimmo Rautanen; Riitta Danielsson-Ojala; Hanna Pirinen; Lotta Kauhanen; Sanna Salanterä; Tapio Salakoski; Ilona Tuominen (Healthcom, 2014)

A fuzzy ontology for semantic modelling and recognition of human behaviour. - Natalia Díaz Rodríguez; Manuel P. Cuéllar; Johan Lilius; Miguel Delgado Calvo-Flores (Knowl. Based Syst., 2014)

Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method. - Natalia Díaz Rodríguez; Olmo León Cadahía; Manuel Pegalajar Cuéllar; Johan Lilius; Miguel Delgado Calvo-Flores (Sensors, 2014)

Erratum to: Exploiting smart spaces for interactive TV applications development. - M. Mohsin Saleemi; Natalia Díaz Rodríguez; Johan Lilius (J. Supercomput., 2014)

Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards. - 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; et al. (Recent Advances in Ambient Assisted Living, 2015)

A semantic security framework and context-aware role-based access control ontology for smart spaces. - Shohreh Hosseinzadeh; Seppo Virtanen; Natalia Díaz Rodríguez; Johan Lilius (SBD@SIGMOD, 2016)

An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development. - Natalia Díaz Rodríguez; Stefan Grönroos; Frank Wickström; Johan Lilius; Henk Eertink; Andreas Braun; Paul Dillen; James Crowley; Jan Alexandersson (WCSC, 2016)

Validation Techniques for Sensor Data in Mobile Health Applications. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Natalia Díaz Rodríguez (J. Sensors, 2016)

Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living. - Natalia Díaz Rodríguez (IOS Press, 2016)

Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. - Natalia Díaz Rodríguez; Aki Härmä; Ignacio Huitzil; Fernando Bobillo; Umberto Straccia; Rim Helaoui (AKBC@NIPS, 2017)

Unsupervised state representation learning with robotic priors: a robustness benchmark. - Timothée Lesort; Mathieu Seurin; Xinrui Li; Natalia Díaz Rodríguez; David Filliat (CoRR, 2017)

Unsupervised understanding of location and illumination changes in egocentric videos. - Alejandro Betancourt; Natalia Díaz Rodríguez; Emilia I. Barakova; Lucio Marcenaro; Matthias Rauterberg; Carlo S. Regazzoni (Pervasive Mob. Comput., 2017)

Datil: Learning Fuzzy Ontology Datatypes. - Ignacio Huitzil; Umberto Straccia; Natalia Díaz Rodríguez; Fernando Bobillo (IPMU (2), 2018)

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. - Antonin Raffin; Ashley Hill; René Traoré; Timothée Lesort; Natalia Díaz Rodríguez; David Filliat (CoRR, 2018)

Don't forget, there is more than forgetting: new metrics for Continual Learning. - Natalia Díaz Rodríguez; Vincenzo Lomonaco; David Filliat; Davide Maltoni (CoRR, 2018)

Intelligent Drone Swarm for Search and Rescue Operations at Sea. - Vincenzo Lomonaco; Angelo Trotta; Marta Ziosi; Juan de Dios Yáñez Ávila; Natalia Díaz Rodríguez (CoRR, 2018)

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. - Stéphane Doncieux; David Filliat; Natalia Díaz Rodríguez; Timothy M. Hospedales; Richard J. Duro; Alexandre Coninx; Diederik M. Roijers; Benoît Girard 001; Nicolas Perrin 001; Olivier Sigaud (Frontiers Neurorobotics, 2018)

State representation learning for control: An overview. - Timothée Lesort; Natalia Díaz Rodríguez; Jean-François Goudou; David Filliat (Neural Networks, 2018)

Deep unsupervised state representation learning with robotic priors: a robustness analysis. - Timothée Lesort; Mathieu Seurin; Xinrui Li; Natalia Díaz Rodríguez; David Filliat (IJCNN, 2019)

Towards Explainable Neural-Symbolic Visual Reasoning. - Adrien Bennetot; Jean-Luc Laurent; Raja Chatila 001; Natalia Díaz Rodríguez (NeSy@IJCAI, 2019)

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. - Antonin Raffin; Ashley Hill; Kalifou René Traoré; Timothée Lesort; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. - René Traoré; Hugo Caselles-Dupré; Timothée Lesort; Te Sun; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Continual Learning for Robotics. - Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz Rodríguez (CoRR, 2019)

DisCoRL: Continual Reinforcement Learning via Policy Distillation. - René Traoré; Hugo Caselles-Dupré; Timothée Lesort; Te Sun; Guanghang Cai; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. - Adrien Bennetot; Jean-Luc Laurent; Raja Chatila 001; Natalia Díaz Rodríguez (CoRR, 2019)

RDF Stores for Enhanced Living Environments: An Overview. - Petteri Karvinen; Natalia Díaz Rodríguez; Stefan Grönroos; Johan Lilius (Enhanced Living Environments, 2019)

Accessible Cultural Heritage through Explainable Artificial Intelligence. - Natalia Díaz Rodríguez; Galena Pisoni (UMAP (Adjunct Publication), 2020)

Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models. - Pranav Agarwal; Alejandro Betancourt; Vana Panagiotou; Natalia Díaz Rodríguez (CoRR, 2020)

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. - Stéphane Doncieux; Nicolas Bredèche; Leni K. Le Goff; Benoît Girard 001; Alexandre Coninx; Olivier Sigaud; Mehdi Khamassi; Natalia Díaz Rodríguez; David Filliat; Timothy M. Hospedales; A. E. Eiben; Richard J. Duro (CoRR, 2020)

Should artificial agents ask for help in human-robot collaborative problem-solving? - Adrien Bennetot; Vicky Charisi; Natalia Díaz Rodríguez (CoRR, 2020)

Physics-informed GANs for Coastal Flood Visualization. - 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 (CoRR, 2020)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - 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; et al. (Frontiers Big Data, 2020)

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. - Alejandro Barredo Arrieta; Natalia Díaz Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García 001; Sergio Gil-Lopez; Daniel Molina; Richard Benjamins; Raja Chatila 001; Francisco Herrera (Inf. Fusion, 2020)

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. - Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz Rodríguez (Inf. Fusion, 2020)

Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. - Ayoub El Qadi; Natalia Díaz Rodríguez; Maria Trocan; Thomas Frossard (CoRR, 2021)

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. - Thomas Rojat; Raphaël Puget; David Filliat; Javier Del Ser; Rodolphe Gelin; Natalia Díaz Rodríguez (CoRR, 2021)

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. - 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 (CoRR, 2021)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (CoRR, 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. - Natalia Díaz Rodríguez; Ruta Binkyte-Sadauskiene; Wafae Bakkali; Sannidhi Bookseller; Paola Tubaro; Andrius Bacevicius; Raja G. Chatila (CoRR, 2021)

Efficient State Representation Learning for Dynamic Robotic Scenarios. - Zhaorun Chen; Liang Gong; Te Sun; Binhao Chen; Shenghan Xie; David Filliat; Natalia Díaz Rodríguez (CoRR, 2021)

Explainability in deep reinforcement learning. - Alexandre Heuillet; Fabien Couthouis; Natalia Díaz Rodríguez (Knowl. Based Syst., 2021)

Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. - Tomas Cabezon Pedroso; Javier Del Ser; Natalia Díaz Rodríguez (CD-MAKE, 2022)

On Young Children's Exploration, Aha! Moments and Explanations in Model Building for Self-Regulated Problem-Solving. - Vicky Charisi; Natalia Díaz Rodríguez; Barbara Mawhin; Luis Merino (EBeM@IJCAI, 2022)

Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. - Ayoub El Qadi; Maria Trocan; Thomas Frossard; Natalia Díaz Rodríguez (MEDES, 2022)

OG-SGG: Ontology-Guided Scene Graph Generation - A Case Study in Transfer Learning for Telepresence Robotics. - Fernando Amodeo; Fernando Caballero; Natalia Díaz Rodríguez; Luis Merino (IEEE Access, 2022)

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values. - Alexandre Heuillet; Fabien Couthouis; Natalia Díaz Rodríguez (IEEE Comput. Intell. Mag., 2022)

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. - Javier Del Ser; Alejandro Barredo Arrieta; Natalia Díaz Rodríguez; Francisco Herrera; Andreas Holzinger (CoRR, 2022)

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. - Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz Rodríguez (Inf. Fusion, 2022)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (Inf. Fusion, 2022)

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. - Katarzyna Kaczmarek-Majer; Gabriella Casalino; Giovanna Castellano; Monika Dominiak; Olgierd Hryniewicz; Olga Kaminska; Gennaro Vessio; Natalia Díaz Rodríguez (Inf. Sci., 2022)

Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. - Adrien Bennetot; Gianni Franchi; Javier Del Ser; Raja Chatila 001; Natalia Díaz Rodríguez (Knowl. Based Syst., 2022)

Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. - Ikram Chraibi Kaadoud; Adrien Bennetot; Barbara Mawhin; Vicky Charisi; Natalia Díaz Rodríguez (Neural Networks, 2022)

Credit Risk Scoring Using a Data Fusion Approach. - Ayoub El Qadi; Maria Trocan; Patricia Conde Céspedes; Thomas Frossard; Natalia Díaz Rodríguez (ICCCI, 2023)

Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. - Giorgio Angelotti; Natalia Díaz Rodríguez (Knowl. Based Syst., 2023)

Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. - Ayoub El Qadi; Maria Trocan; Natalia Díaz Rodríguez; Thomas Frossard (Signal Image Video Process., 2023)

Responsible and human centric AI-based insurance advisors. - Galena Pisoni; Natalia Díaz Rodríguez (Inf. Process. Manag., 2023)

Gender and sex bias in COVID-19 epidemiological data through the lens of causality. - Natalia Díaz Rodríguez; Ruta Binkyte; Wafae Bakkali; Sannidhi Bookseller; Paola Tubaro; Andrius Bacevicius; Sami Zhioua; Raja Chatila 001 (Inf. Process. Manag., 2023)

Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. - Ayoub El Qadi; Maria Trocan; Natalia Díaz Rodríguez; Thomas Frossard (Signal Image Video Process., 2023)

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. - Sajid Ali 006; Tamer Abuhmed; Shaker H. Ali El-Sappagh; Khan Muhammad 001; Jose Maria Alonso-Moral; Roberto Confalonieri 001; Riccardo Guidotti; Javier Del Ser; Natalia Díaz Rodríguez; Francisco Herrera (Inf. Fusion, 2023)

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. - Natalia Díaz Rodríguez; Javier Del Ser; Mark Coeckelbergh; Marcos López de Prado; Enrique Herrera-Viedma; Francisco Herrera (Inf. Fusion, 2023)

Generating Physically-Consistent Satellite Imagery for Climate Visualizations. - 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; et al. (IEEE Trans. Geosci. Remote. Sens., 2024)

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. - Pathmanathan Pankayaraj; Natalia Díaz Rodríguez; Javier Del Ser (Cogn. Comput., 2024)

On generating trustworthy counterfactual explanations. - Javier Del Ser; Alejandro Barredo Arrieta; Natalia Díaz Rodríguez; Francisco Herrera; Anna Saranti; Andreas Holzinger (Inf. Sci., 2024)

On the disagreement problem in Human-in-the-Loop federated machine learning. - Matthias Huelser; Heimo Müller; Natalia Díaz Rodríguez; Andreas Holzinger (J. Ind. Inf. Integr., 2025)

A Practical Tutorial on Explainable AI Techniques. - Adrien Bennetot; Ivan Donadello; Ayoub El Qadi; Mauro Dragoni; Thomas Frossard; Benedikt Wagner; Anna Saranti; Silvia Tulli; Maria Trocan; Raja Chatila 001; Andreas Holzinger; Artur d'Avila Garcez; et al. (ACM Comput. Surv., 2025)

CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs. - David Méndez; Gianpaolo Bontempo; Elisa Ficarra; Roberto Confalonieri 001; Natalia Díaz Rodríguez (CoRR, 2025)

Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks. - Oier Mentxaka; Natalia Díaz Rodríguez; Mark Coeckelbergh; Marcos López de Prado; Emilia Gómez; David Fernández Llorca; Enrique Herrera-Viedma; Francisco Herrera (CoRR, 2025)