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2020 – today
- 2024
[j28]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): 425-453 (2024)- [j27]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger:
On generating trustworthy counterfactual explanations. Inf. Sci. 655: 119898 (2024) - 2023
- [j26]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: 101805 (2023) - [j25]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: 101896 (2023) - [j24]Galena Pisoni, Natalia Díaz Rodríguez:
Responsible and human centric AI-based insurance advisors. Inf. Process. Manag. 60(3): 103273 (2023) - [j23]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): 103276 (2023) - [j22]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: 110189 (2023) - [j21]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): 427-434 (2023) - [j20]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): 1743 (2023) - [c19]Ayoub El Qadi, Maria Trocan, Patricia Conde Céspedes, Thomas Frossard, Natalia Díaz Rodríguez:
Credit Risk Scoring Using a Data Fusion Approach. ICCCI 2023: 769-781 - [i32]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 abs/2305.02231 (2023) - [i31]Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser:
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. CoRR abs/2312.03177 (2023) - 2022
- [j19]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: 132564-132583 (2022) - [j18]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): 59-71 (2022) - [j17]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. Inf. Fusion 79: 58-83 (2022) - [j16]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: 263-278 (2022) - [j15]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: 374-399 (2022) - [j14]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: 109947 (2022) - [j13]Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez:
Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks 155: 95-118 (2022) - [c18]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: 168-187 - [c17]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 - [c16]Ayoub El Qadi, Maria Trocan, Thomas Frossard, Natalia Díaz Rodríguez:
Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. MEDES 2022: 115-122 - [i30]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 abs/2202.10201 (2022) - [i29]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 abs/2205.10232 (2022) - [i28]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 abs/2207.08989 (2022) - [i27]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 abs/2209.14974 (2022) - [i26]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 abs/2212.03041 (2022) - 2021
- [j12]Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez:
Explainability in deep reinforcement learning. Knowl. Based Syst. 214: 106685 (2021) - [i25]Ayoub El Qadi, Natalia Díaz Rodríguez, Maria Trocan, Thomas Frossard:
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. CoRR abs/2103.08359 (2021) - [i24]Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez:
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR abs/2104.00950 (2021) - [i23]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 abs/2104.04785 (2021) - [i22]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 abs/2104.11914 (2021) - [i21]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 abs/2104.14492 (2021) - [i20]Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez:
Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR abs/2109.08642 (2021) - [i19]Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez:
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values. CoRR abs/2110.01307 (2021) - [i18]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:
A Practical Tutorial on Explainable AI Techniques. CoRR abs/2111.14260 (2021) - 2020
- [j11]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: 577974 (2020) - [j10]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: 52-68 (2020) - [j9]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: 82-115 (2020) - [c15]Natalia Díaz Rodríguez, Galena Pisoni:
Accessible Cultural Heritage through Explainable Artificial Intelligence. UMAP (Adjunct Publication) 2020: 317-324 - [i17]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 abs/2003.11743 (2020) - [i16]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 abs/2005.06223 (2020) - [i15]Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez:
Should artificial agents ask for help in human-robot collaborative problem-solving? CoRR abs/2006.00882 (2020) - [i14]Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez:
Explainability in Deep Reinforcement Learning. CoRR abs/2008.06693 (2020) - [i13]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 abs/2010.08103 (2020)
2010 – 2019
- 2019
- [c14]Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat:
Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN 2019: 1-8 - [c13]Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez:
Towards Explainable Neural-Symbolic Visual Reasoning. NeSy@IJCAI 2019 - [p2]Petteri Karvinen, Natalia Díaz Rodríguez, Stefan Grönroos, Johan Lilius:
RDF Stores for Enhanced Living Environments: An Overview. Enhanced Living Environments 2019: 19-52 - [i12]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 abs/1901.08651 (2019) - [i11]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 abs/1906.04452 (2019) - [i10]Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual Learning for Robotics. CoRR abs/1907.00182 (2019) - [i9]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat:
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR abs/1907.05855 (2019) - [i8]Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez:
Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. CoRR abs/1909.09065 (2019) - [i7]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 abs/1910.10045 (2019) - 2018
- [j8]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: 59 (2018) - [j7]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State representation learning for control: An overview. Neural Networks 108: 379-392 (2018) - [c12]Ignacio Huitzil, Umberto Straccia, Natalia Díaz Rodríguez, Fernando Bobillo:
Datil: Learning Fuzzy Ontology Datatypes. IPMU (2) 2018: 100-112 - [i6]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State Representation Learning for Control: An Overview. CoRR abs/1802.04181 (2018) - [i5]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 abs/1809.09369 (2018) - [i4]Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni:
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR abs/1810.13166 (2018) - [i3]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 abs/1811.05291 (2018) - 2017
- [j6]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: 414-429 (2017) - [c11]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 - [i2]Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat:
Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR abs/1709.05185 (2017) - 2016
- [b1]Natalia Díaz Rodríguez:
Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living. Åbo Akademi University, Turku, Finland, Studies on the Semantic Web 23, IOS Press 2016, ISBN 978-1-61499-606-4, pp. 1-194 - [j5]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: 2839372:1-2839372:9 (2016) - [c10]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: 8 - [c9]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: 559-568 - [i1]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 abs/1603.09200 (2016) - 2015
- [p1]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:
Smart Dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards. Recent Advances in Ambient Assisted Living 2015: 134-144 - 2014
- [j4]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: 46-60 (2014) - [j3]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): 18131-18171 (2014) - [j2]M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius:
Erratum to: Exploiting smart spaces for interactive TV applications development. J. Supercomput. 70(3): 1617 (2014) - [c8]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: 423-428 - 2013
- [j1]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): 43:1-43:33 (2013) - [c7]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: 45-52 - [c6]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: 1335-1338 - [c5]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: 436-441 - [c4]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: 254-261 - 2011
- [c3]M. Mohsin Saleemi, Natalia Díaz Rodríguez, Johan Lilius, Ivan Porres:
A Framework for Context-Aware Applications for Smart Spaces. NEW2AN 2011: 14-25 - [c2]Natalia Díaz Rodríguez:
A Framework for Context-Aware Applications for Smart Spaces. SAINT 2011: 218-221 - [c1]Natalia Díaz Rodríguez, Pasi Kankaanpää, M. Mohsin Saleemi, Johan Lilius, Ivan Porres:
Programming biomedical smart space applications with BioImageXD and PythonRules. SWAT4LS 2011: 10-11
Coauthor Index
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