Luis Montesano

发表

Exploiting Task Constraints for Self-Calibrated Brain-Machine Interface Control Using Error-Related Potentials

Pierre-Yves Oudeyer, Manuel Lopes, Jonathan Grizou, 2015, PloS one.

Single-trial classification of feedback potentials within neurofeedback training with an EEG brain-computer interface

Iñaki Iturrate, Luis Montesano, Javier Minguez, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Thomas Brox, Javier Civera, Luis Montesano, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Toward a Metric-Based Scan Matching Algorithm for Displacement Estimation in 3D Workspaces

Luis Montesano, Javier Minguez, Lydia Biota, 2006 .

Relative localization for pairs of robots based on unidentifiable moving features

Wolfram Burgard, Luis Montesano, Luis Montano, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Decoding of full 3D finger trajectories from EEG data

Luis Montesano, Javier M. Antelis, Javier Minguez, 2011 .

Towards an Intelligent Wheelchair System for Users With Cerebral Palsy

Luis Montesano, Javier Minguez, Marta Diaz, 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Beyond p-values in the evaluation of brain–computer interfaces: A Bayesian estimation approach

Luis Montesano, Filip Melinscak, L. Montesano, 2016, Journal of Neuroscience Methods.

Optimal Filtering For Partially Observed Point Processes Using Trans-Dimensional Sequential Monte Carlo

Arnaud Doucet, Luis Montesano, Ajay Jasra, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Dense multi-planar scene estimation from a sparse set of images

Javier Civera, Luis Montesano, Alberto Argiles, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Continuous decoding of motor attempt and motor imagery from EEG activity in spinal cord injury patients

Luis Montesano, Javier Minguez, Javier Mauricio Antelis, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Calibration-Free BCI Based Control

Pierre-Yves Oudeyer, Manuel Lopes, Jonathan Grizou, 2014, AAAI.

Active Learning for Reward Estimation in Inverse Reinforcement Learning

Manuel Lopes, Luis Montesano, Francisco S. Melo, 2009, ECML/PKDD.

Fusing vision-based bearing measurements and motion to localize pairs of robots

Luis Montesano, Luis Montano, 2005 .

Minimizing calibration time using inter-subject information of single-trial recognition of error potentials in brain-computer interfaces

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Metric-based iterative closest point scan matching for sensor displacement estimation

Florent Lamiraux, Luis Montesano, Javier Minguez, 2006, IEEE Transactions on Robotics.

Learning multiple behaviours using hierarchical clustering of rewards

Luis Montesano, Javier Almingol, L. Montesano, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Intersession adaptation of the EEG-based detector of self-paced walking intention in stroke patients

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Latency correction of error-related potentials reduces BCI calibration time

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2014 .

Condition-Invariant Multi-View Place Recognition pdf

Javier Civera, Luis Montesano, José M. Fácil, 2019, ArXiv.

Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space

Manuel Lopes, Luis Montesano, Javier Almingol, 2013, ICML.

Asynchronous detection of error potentials

Iñaki Iturrate, Jason Omedes, Luis Montesano, 2014 .

Using frequency-domain features for the generalization of EEG error-related potentials among different tasks

Iñaki Iturrate, Jason Omedes, Luis Montesano, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Shared control of a robot using EEG-based feedback signals

Iñaki Iturrate, Jason Omedes, Luis Montesano, 2013, MLIS '13.

Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition

Ana Cristina Murillo, Luis Montesano, Serge J. Belongie, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Interactive Task Estimation From Unlabelled Teaching Signals

Pierre-Yves Oudeyer, Manuel Lopes, Jonathan Grizou, 2013 .

Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2015, Scientific Reports.

A generalization of the metric-based Iterative Closest Point technique for 3D scan matching

Leopoldo Armesto, Luis Montesano, Javier Minguez, 2010, 2010 IEEE International Conference on Robotics and Automation.

An architecture for sensor-based navigation in realistic dynamic and troublesome scenarios

Luis Montesano, Javier Minguez, Luis Montano, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Metric-Based Scan Matching Algorithms for Mobile Robot Displacement Estimation

Florent Lamiraux, Luis Montesano, Javier Minguez, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Single-View and Multiview Depth Fusion pdf

Javier Civera, Luis Montesano, José M. Fácil, 2016, IEEE Robotics and Automation Letters.

Continuous decoding of intention to move from contralesional hemisphere brain oscillations in severely affected chronic stroke patients

Luis Montesano, Niels Birbaumer, Javier Minguez, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robot reinforcement learning using EEG-based reward signals

Iñaki Iturrate, Luis Montesano, Javier Minguez, 2010, 2010 IEEE International Conference on Robotics and Automation.

Lessons Learned in Integration for Sensor-Based Robot Navigation Systems

Luis Montesano, Javier Minguez, Luis Montano, 2006 .

Towards the Adaptation of a Robotic Wheelchair for Cognitive Disabled Children

Luis Montesano, Javier Minguez, Luis Montano, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Moregrasp: restoration of upper limb function in Individuals with High spinal cord injury by Multimodal Neuroprostheses for Interaction in Daily Activities

Luis Montesano, John Williamson, Eduardo E. Veas, 2017, GBCIC.

Classification of resting, anticipation and movement states in self-initiated arm movements for EEG brain computer interfaces

Luis Montesano, Javier Minguez, Miguel Rodrigo, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Sample size determination for BCI studies: How many subjects and trials?

Luis Montesano, Filip Melinscak, L. Montesano, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2016, Journal of neural engineering.

Shared-control brain-computer interface for a two dimensional reaching task using EEG error-related potentials

Iñaki Iturrate, Luis Montesano, Javier Minguez, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Single-View and Multiview Depth Fusion

Javier Civera, Luis Montesano, José M. Fácil, 2016, IEEE Robotics and Automation Letters.

Brain connectivity in continuous error tasks

Iñaki Iturrate, Jason Omedes, Luis Montesano, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of moving objects by a team of robots based on kinematic information

Luis Montesano, Luis Montano, L. Montesano, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb

Alicia Casals, Luis Montesano, Javier Minguez, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Minimizing calibration time of single-trial recognition of error potentials in brain-computer interfaces

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2011 .

Learning Object Affordances: From Sensory--Motor Coordination to Imitation

Manuel Lopes, Luis Montesano, Alexandre Bernardino, 2008, IEEE Transactions on Robotics.

Continuous detection of the self-initiated walking pre-movement state from EEG correlates without session-to-session recalibration

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2015, Journal of neural engineering.

Affordance-based imitation learning in robots

Manuel Lopes, Luis Montesano, Francisco S. Melo, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

On the Performance of Maximum Likelihood Inverse Reinforcement Learning pdf

Luis Montesano, Ruben Martinez-Cantin, Héctor Ratia, 2012, ArXiv.

Probabilistic scan matching for motion estimation in unstructured environments

Luis Montesano, Javier Minguez, Luis Montano, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions

Manuel Lopes, Luis Montesano, M. Lopes, 2012, Robotics Auton. Syst..

Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation

Luis Montesano, Javier Minguez, Luis Montano, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Single trial recognition of error-related potentials during observation of robot operation

Luis Montesano, Javier Minguez, Inaki Iturrate, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Zero-calibration BMIs for sequential tasks using error-related potentials

Pierre-Yves Oudeyer, Manuel Lopes, Jonathan Grizou, 2013 .

Interactive Learning from Unlabeled Instructions

Pierre-Yves Oudeyer, Manuel Lopes, Jonathan Grizou, 2014, UAI.

Learning grasping affordances from local visual descriptors

Manuel Lopes, Luis Montesano, M. Lopes, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction pdf

Manuel Lopes, Luis Montesano, M. Lopes, 2014, ArXiv.

Asynchronous Decoding of Error Potentials during the Monitoring of a Reaching Task

Ricardo Chavarriaga, Iñaki Iturrate, Jason Omedes, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Latency correction of error potentials between different experiments reduces calibration time for single-trial classification

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients

Luis Montesano, Niels Birbaumer, Javier Minguez, 2017, IEEE Transactions on Biomedical Engineering.

Modeling dynamic scenarios for local sensor-based motion planning

Luis Montesano, Javier Minguez, Luis Montano, 2008, Auton. Robots.

Domain and View-Point Agnostic Hand Action Recognition

Luis Montesano, Ana C. Murillo, Iñigo Alonso, 2021, IEEE Robotics and Automation Letters.

One-shot action recognition towards novel assistive therapies pdf

Luis Montesano, Alexandre Bernardino, Ana C. Murillo, 2021, ArXiv.

Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions

Ana Cristina Murillo, Luis Montesano, Luis Riazuelo, 2020, ICINCO.

Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank pdf

Luis Montesano, Ana C. Murillo, David Ferstl, 2021, ArXiv.

One-shot action recognition in challenging therapy scenarios

Ana Cristina Murillo, Luis Montesano, Alexandre Bernardino, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Differentiating resting brain states using ordinal symbolic analysis.

Cristina Masoller, Luis Montesano, Carlos Quintero-Quiroz, 2018, Chaos.

Evolution of EEG Motor Rhythms after Spinal Cord Injury: A Longitudinal Study

Luis Montesano, Antonio Oliviero, Javier Minguez, 2015, PloS one.

Reactivating the Dormant Motor Cortex After Spinal Cord Injury With EEG Neurofeedback: A Case Study With a Chronic, Complete C4 Patient

Luis Montesano, Javier Minguez, L. Montesano, 2018, Clinical EEG and neuroscience.

Brain-machine interfaces for motor rehabilitation: Is recalibration important?

Luis Montesano, Eduardo Lopez-Larraz, Fernando Trincado-Alonso, 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

A Pilot Study of Brain-Triggered Electrical Stimulation with Visual Feedback in Patients with Incomplete Spinal Cord Injury

Luis Montesano, Aitor Ardanza, Ángel Gil-Agudo, 2018 .

Control of an Ambulatory Exoskeleton with a Brain–Machine Interface for Spinal Cord Injury Gait Rehabilitation

Luis Montesano, Javier Minguez, Joan Aranda, 2016, Front. Neurosci..