JOSE MARIA
MARTINEZ OTZETA
DOKTORE IKERTZAILEA
JOSE MARIA MARTINEZ OTZETA-rekin lankidetzan egindako argitalpenak (15)
2023
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RANSAC for Robotic Applications: A Survey
Sensors, Vol. 23, Núm. 1
2019
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Video activity recognition: State-of-the-art
Sensors (Switzerland), Vol. 19, Núm. 14
2018
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Robots on stage: A cognitive framework for socially interacting robots
Biologically Inspired Cognitive Architectures, Vol. 25, pp. 17-25
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Towards the use of similarity distances to music genre classification: A comparative study
PLoS ONE, Vol. 13, Núm. 2
2015
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Dynamic selection of the best base classifier in One versus One
Knowledge-Based Systems, Vol. 85, pp. 298-306
2013
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Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability
Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1980-1991
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Thermal and 3D kinect sensor fusion for robust people detection using evolutionary selection of supervised classifiers
ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
2008
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Analyzing classifier hierarchy multiclassifier learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visual approaches for handle recognition
Springer Tracts in Advanced Robotics, Vol. 44, pp. 313-322
2007
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Door handle identification: A three-stage approach
IFAC Proceedings Volumes (IFAC-PapersOnline)
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Handle identification by keypoint extraction
XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas
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Tartalo: The door knocker robot
2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
2006
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Adapting the point of view for behavior-based navigation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Edited Naive Bayes
Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, Vol. 10, Núm. 31, pp. 63-70
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On a unified framework for sampling with and without replacement in decision tree ensembles
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)