Natalia Díaz Rodríguez

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 67

Top Venues

CoRR

Inf. Fusion

Knowl. Based Syst.

Signal Image Video Process.

Åbo Akademi University, Turku, Finland (PHD)

Education History

Åbo Akademi University, Turku, Finland

PHD

Publications

Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger
On generating trustworthy counterfactual explanations. Inf. Sci. 655 (2024)
Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. Cogn. Comput. 16 (1) (2024)
Ayoub El Qadi, Maria Trocan, Natalia Díaz Rodríguez, Thomas Frossard
Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. 17 (2) (2023)
Ayoub El Qadi, Maria Trocan, Patricia Conde Céspedes, Thomas Frossard, Natalia Díaz Rodríguez
Credit Risk Scoring Using a Data Fusion Approach. ICCCI (2023)
Galena Pisoni, Natalia Díaz Rodríguez
Responsible and human centric AI-based insurance advisors. Inf. Process. Manag. 60 (3) (2023)
Ayoub El Qadi, Maria Trocan, Natalia Díaz Rodríguez, Thomas Frossard
Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. 17 (4) (2023)
Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila
Gender and sex bias in COVID-19 epidemiological data through the lens of causality. Inf. Process. Manag. 60 (3) (2023)
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
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99 (2023)
Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. CoRR (2023)
Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation. CoRR (2023)
Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Inf. Fusion 99 (2023)
Giorgio Angelotti, Natalia Díaz Rodríguez
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. 260 (2023)
Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR (2022)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79 (2022)
Vicky Charisi, Natalia Díaz Rodríguez, Barbara Mawhin, Luis Merino
On Young Children's Exploration, Aha! Moments and Explanations in Model Building for Self-Regulated Problem-Solving. EBeM@IJCAI (2022)
Fernando Amodeo, Fernando Caballero, Natalia Díaz Rodríguez, Luis Merino
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics. CoRR (2022)
Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR (2022)
Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. 614 (2022)
Ayoub El Qadi, Maria Trocan, Thomas Frossard, Natalia Díaz Rodríguez
Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. MEDES (2022)
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values. IEEE Comput. Intell. Mag. 17 (1) (2022)
Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez
moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks 155 (2022)
Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CD-MAKE (2022)
Giorgio Angelotti, Natalia Díaz Rodríguez
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. CoRR (2022)
Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CoRR (2022)
Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79 (2022)
Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. 258 (2022)
Fernando Amodeo, Fernando Caballero, Natalia Díaz Rodríguez, Luis Merino
OG-SGG: Ontology-Guided Scene Graph Generation - A Case Study in Transfer Learning for Telepresence Robotics. IEEE Access 10 (2022)
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 Newman
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. CoRR (2021)
Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez
Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR (2021)
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
A Practical Tutorial on Explainable AI Techniques. CoRR (2021)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR (2021)
Ayoub El Qadi, Natalia Díaz Rodríguez, Maria Trocan, Thomas Frossard
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. CoRR (2021)
Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR (2021)
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values. CoRR (2021)
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
Explainability in deep reinforcement learning. Knowl. Based Syst. 214 (2021)
Natalia Díaz Rodríguez, Ruta Binkyte-Sadauskiene, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja G. Chatila
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)
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
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3 (2020)
Natalia Díaz Rodríguez, Galena Pisoni
Accessible Cultural Heritage through Explainable Artificial Intelligence. UMAP (Adjunct Publication) (2020)
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
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58 (2020)
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez
Explainability in Deep Reinforcement Learning. CoRR (2020)
Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou, Natalia Díaz Rodríguez
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models. CoRR (2020)
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
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR (2020)
Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez
Should artificial agents ask for help in human-robot collaborative problem-solving? CoRR (2020)
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi
Physics-informed GANs for Coastal Flood Visualization. CoRR (2020)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion 58 (2020)
René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR (2019)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual Learning for Robotics. CoRR (2019)
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
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR (2019)
Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez
Towards Explainable Neural-Symbolic Visual Reasoning. NeSy@IJCAI (2019)
Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN (2019)
Adrien Bennetot, Jean Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez
Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. CoRR (2019)
Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR (2019)
René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR (2019)
Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics 12 (2018)
Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
State Representation Learning for Control: An Overview. CoRR (2018)
Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
State representation learning for control: An overview. Neural Networks 108 (2018)
Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz Rodríguez
Intelligent Drone Swarm for Search and Rescue Operations at Sea. CoRR (2018)
Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR (2018)
Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR (2018)
Ignacio Huitzil, Umberto Straccia, Natalia Díaz Rodríguez, Fernando Bobillo
Datil: Learning Fuzzy Ontology Datatypes. IPMU (2) (2018)
Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR (2017)
Alejandro Betancourt, Natalia Díaz Rodríguez, Emilia I. Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo S. Regazzoni
Unsupervised understanding of location and illumination changes in egocentric videos. Pervasive Mob. Comput. 40 (2017)
Natalia Díaz Rodríguez, Aki Härmä, Ignacio Huitzil, Fernando Bobillo, Umberto Straccia, Rim Helaoui
Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. AKBC@NIPS (2017)
Alejandro Betancourt, Natalia Díaz Rodríguez, Emilia I. Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo S. Regazzoni
Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos. CoRR (2016)
Shohreh Hosseinzadeh, Seppo Virtanen, Natalia Díaz Rodríguez, Johan Lilius
A semantic security framework and context-aware role-based access control ontology for smart spaces. SBD@SIGMOD (2016)
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Natalia Díaz Rodríguez
Validation Techniques for Sensor Data in Mobile Health Applications. J. Sensors 2016 (2016)
Natalia Díaz Rodríguez, Stefan Grönroos, Frank Wickström, Johan Lilius, Henk Eertink, Andreas Braun, Paul Dillen, James Crowley, Jan Alexandersson
An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development. WCSC (2016)
M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius
Erratum to: Exploiting smart spaces for interactive TV applications development. J. Supercomput. 70 (3) (2014)
Natalia Díaz Rodríguez, Johan Lilius, Sebu Björklund, Joachim Majors, Kimmo Rautanen, Riitta Danielsson-Ojala, Hanna Pirinen, Lotta Kauhanen, Sanna Salanterä, Tapio Salakoski, Ilona Tuominen
Can IT health-care applications improve the medication tray-filling process at hospital wards? An exploratory study using eye-tracking and stress response. Healthcom (2014)
Natalia Díaz Rodríguez, Olmo León Cadahía, Manuel Pegalajar Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method. Sensors 14 (10) (2014)
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
A fuzzy ontology for semantic modelling and recognition of human behaviour. Knowl. Based Syst. 66 (2014)
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
A survey on ontologies for human behavior recognition. ACM Comput. Surv. 46 (4) (2013)
Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability. DCAI (2013)
Natalia Díaz Rodríguez, Robin Wikström, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. UCAmI (2013)
Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores
Rapid prototyping of semantic applications in smart spaces with a visual rule language. UbiComp (Adjunct Publication) (2013)
Natalia Díaz Rodríguez, Johan Lilius, Manuel P. Cuéllar, Miguel Delgado Calvo-Flores
An approach to improve semantics in Smart Spaces using reactive fuzzy rules. IFSA/NAFIPS (2013)
Natalia Díaz Rodríguez
A Framework for Context-Aware Applications for Smart Spaces. SAINT (2011)
Natalia Díaz Rodríguez, Pasi Kankaanpää, M. Mohsin Saleemi, Johan Lilius, Ivan Porres
. SWAT4LS (2011)
M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius, Ivan Porres
A Framework for Context-Aware Applications for Smart Spaces. NEW2AN (2011)

Natalia Díaz Rodríguez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Natalia Díaz Rodríguez