Natalia Díaz-Rodríguez, PhD
Natalia Díaz-Rodríguez, PhD
University of Granada, Spain, Andalusian Institute in Data Science
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
Information Fusion 58, 82-115, 2020
A survey on ontologies for human behavior recognition
ND Rodríguez, MP Cuéllar, J Lilius, MD Calvo-Flores
ACM Computing Surveys (CSUR) 46 (4), 1-33, 2014
State representation learning for control: An overview
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat
Neural Networks 108, 379-392, 2018
A fuzzy ontology for semantic modelling and recognition of human behaviour
ND Rodríguez, MP Cuéllar, J Lilius, MD Calvo-Flores
Knowledge-Based Systems 66, 46-60, 2014
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez
Information Fusion, 2019
Don't forget, there is more than forgetting: new metrics for Continual Learning
N Díaz-Rodríguez, V Lomonaco, D Filliat, D Maltoni
arXiv preprint arXiv:1810.13166, 2018
A framework for context-aware applications for smart spaces
MM Saleemi, ND Rodríguez, J Lilius, I Porres
Smart Spaces and Next Generation Wired/Wireless Networking, 14-25, 2011
Open-ended learning: a conceptual framework based on representational redescription
S Doncieux, D Filliat, N Díaz-Rodríguez, T Hospedales, R Duro, A Coninx, ...
Frontiers in neurorobotics 12, 59, 2018
A semantic security framework and context-aware role-based access control ontology for smart spaces
S Hosseinzadeh, S Virtanen, N Díaz-Rodríguez, J Lilius
Proceedings of the International Workshop on Semantic Big Data, 1-6, 2016
Unsupervised state representation learning with robotic priors: a robustness analysis
T Lesort, M Seurin, X Li, N Díaz-Rodríguez, D Filliat
2019 International Joint Conference on Neural Networks (IJCNN) https …, 2017
Understanding movement and interaction: an ontology for Kinect-based 3D depth sensors
ND Rodríguez, R Wikström, J Lilius, MP Cuéllar, MDC Flores
Ubiquitous computing and ambient intelligence. Context-awareness and context …, 2013
Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method
N Díaz-Rodríguez, OL Cadahía, MP Cuéllar, J Lilius, MD Calvo-Flores
Sensors 14 (10), 18131-18171, 2014
Physical activity among children: objective measurements using Fitbit One® and ActiGraph
L Hamari, T Kullberg, J Ruohonen, OJ Heinonen, N Díaz-Rodríguez, ...
BMC Research Notes 10 (1), 161, 2017
Validation Techniques for Sensor Data in Mobile Health Applications
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta, N Díaz-Rodríguez
Journal of Sensors 2016, 1-9, 2016
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1901.08651, 2019
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
NeurIPS workshop on Deep Reinforcement Learning, 2018
DisCoRL: Continual Reinforcement Learning via Policy Distillation
R Traoré, H Caselles-Dupré, T Lesort, T Sun, G Cai, N Díaz-Rodríguez, ...
arXiv preprint arXiv:1907.05855, 2019
Registered Nurses’ Experiences with the Medication Administration Process
H Pirinen, L Kauhanen, R Danielsson-Ojala, J Lilius, I Tuominen, ...
Advances in Nursing 2015 (2015), ISSN: 2314-7725, 2015
Towards Explainable Neural-Symbolic Visual Reasoning
A Bennetot, JL Laurent, R Chatila, N Díaz-Rodríguez
arXiv preprint arXiv:1909.09065, 2019
Towards explainable neural-symbolic visual reasoning
A Bennetot, JL Laurent, R Chatila, N Dıaz-Rodrıguez
NeSy Workshop IJCAI, 2019
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