Natalia Díaz-Rodríguez, PhD
Natalia Díaz-Rodríguez, PhD
ENSTA ParisTech (École Nationale Supérieure de Techniques Avancées), INRIA FLOWERS flowers.inria.fr
Email verificata su ensta-paristech.fr - Home page
TitoloCitata daAnno
A survey on ontologies for human behavior recognition
ND Rodríguez, MP Cuéllar, J Lilius, MD Calvo-Flores
ACM Computing Surveys (CSUR) 46 (4), 43, 2014
1422014
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
802014
State representation learning for control: An overview
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat
Neural Networks 108, 379-392, 2018
402018
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
312011
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
282014
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
252013
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, 8, 2016
212016
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
152015
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
122017
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
122016
Unsupervised state representation learning with robotic priors: a robustness benchmark
T Lesort, M Seurin, X Li, N Díaz-Rodríguez, D Filliat
https://arxiv.org/abs/1709.05185, 2017
112017
A Framework for Context-Aware Applications for Smart Spaces
ND Rodríguez
Applications and the Internet (SAINT), 2011 IEEE/IPSJ 11th International …, 2011
82011
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, 2018
62018
Semantic and fuzzy modelling for human behaviour recognition in smart spaces: a case study on ambient assisted living
ND Rodríguez
Ios Press, 2016
62016
Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces: A Case Study on Ambient Assisted Living
ND Rodríguez
IOS Press, 2016
62016
Beyond Clothing Ontologies: Modeling Fashion with Subjective Influence Networks
K Bollacker, N Díaz-Rodríguez, X Li
KDD Workshop on Machine Learning meets Fashion, San Francisco, California, 2016
52016
Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability
ND Rodríguez, J Lilius, MP Cuéllar, MD Calvo-Flores
Distributed Computing and Artificial Intelligence, 45-52, 2013
52013
Programming biomedical smart space applications with BioImageXD and PythonRules
ND Rodríguez, P Kankaanpää, MM Saleemi, J Lilius, I Porres
Proceedings of the 4th International Workshop on Semantic Web Applications …, 2011
52011
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, KR Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1901.08651, 2019
42019
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
4*2018
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