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ORCIDJavier Mauricio Antelis
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2020 – today
- 2024
[c20]Luis Humberto S. Vaca, Luis Fernando Román-Padilla, Omar Mendoza-Montoya, Javier Mauricio Antelis:
AR-assisted navigation of a mobile robot controlled by an SSVEP-based BCI. CBMS 2024: 225-230- [c19]Adnan Elahi Khan Khalil, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Javier Mauricio Antelis:
Enhancing User Authentication Through EEG Based P300 Speller Response. MICAI (2) 2024: 124-141 - 2023
- [j16]Denise Alonso-Vázquez
, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier Mauricio Antelis:
EEG-Based Classification of Spoken Words Using Machine Learning Approaches. Comput. 11(11): 225 (2023) - 2022
- [j15]Luis Guillermo Hernández-Rojas, Jessica Cantillo-Negrete, Omar Mendoza-Montoya, Ruben I. Carino-Escobar, Ismael Leyva-Martinez, Ana Valeria Aguirre Guemez, Aida Barrera-Ortiz, Paul Carrillo-Mora, Javier Mauricio Antelis:
Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients. IEEE Access 10: 46834-46852 (2022) - [j14]Mayumi Hori Uribe, Carlos Renato Vázquez, Javier Mauricio Antelis:
A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant's Differentiators. IEEE Access 10: 111623-111635 (2022) - [j13]Nayid Triana Guzmán, Alvaro D. Orjuela-Cañón, Andres L. Jutinico, Omar Mendoza-Montoya, Javier Mauricio Antelis:
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface. Frontiers Neuroinformatics 16 (2022) - [c18]Rogelio Sotero Reyes-Galaviz, Omar Mendoza-Montoya, Javier Mauricio Antelis:
Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning. MCPR 2022: 316-327 - 2021
- [j12]Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander I. Nesterov:
Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach. Sensors 21(9): 3174 (2021) - [j11]Claudia X. Perez-Ortiz, José Luis Gordillo, Omar Mendoza-Montoya, Javier Mauricio Antelis, Ricardo Caraza, Hector R. Martinez:
Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis. Sensors 21(20): 6801 (2021) - 2020
- [j10]Luis Guillermo Hernández-Rojas, Omar Mendoza-Montoya, Javier Mauricio Antelis:
Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals. IEEE Access 8: 119728-119743 (2020) - [j9]Carlos Daniel Virgilio Gonzalez, Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón:
Spiking Neural Networks applied to the classification of motor tasks in EEG signals. Neural Networks 122: 130-143 (2020) - [j8]Juan David Chailloux Peguero, Omar Mendoza-Montoya, Javier Mauricio Antelis:
Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions. Sensors 20(24): 7198 (2020) - [i2]Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander I. Nesterov:
Deep learning for gravitational-wave data analysis: A resampling white-box approach. CoRR abs/2009.04088 (2020)
2010 – 2019
- 2019
- [c17]Carlos Daniel Virgilio Gonzalez, Humberto Sossa, Javier Mauricio Antelis, Luis Eduardo Falcón:
Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. MCPR 2019: 14-24 - [c16]Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón:
Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. MCPR 2019: 80-88 - [c15]Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón:
Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. MCPR 2019: 389-397 - [c14]Luis G. Hernández, Javier Mauricio Antelis:
Self-paced movement intention recognition from EEG signals during upper limb robot-assisted rehabilitation. NER 2019: 69-72 - [c13]Andrés Felipe Ruiz Olaya, Javier Mauricio Antelis, Alexander Cerquera:
Decoding Steady-State Visual Evoked Potentials From EEG Signals: Towards an EEG-Triggered FES System to Restore Hand Grasp Function. UEMCON 2019: 1152-1157 - [i1]Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [j7]Javier Mauricio Antelis, Berenice Gudiño-Mendoza, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa:
Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. Biomed. Signal Process. Control. 44: 12-24 (2018) - [j6]Luis G. Hernández, Óscar Martínez Mozos, José M. Ferrández, Javier Mauricio Antelis:
EEG-Based Detection of Braking Intention Under Different Car Driving Conditions. Frontiers Neuroinformatics 12: 29 (2018) - [c12]Efraín Martínez, Luis Guillermo Hernández, Javier Mauricio Antelis:
Discrimination Between Normal Driving and Braking Intention from Driver's Brain Signals. IWBBIO (1) 2018: 129-138 - [c11]Luis G. Hernández, Javier Mauricio Antelis:
A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals. MCPR 2018: 126-134 - [c10]Carlos Daniel Virgilio Gonzalez, Juan Humberto Sossa Azuela, Javier Mauricio Antelis:
Artificial Neural Networks and Common Spatial Patterns for the Recognition of Motor Information from EEG Signals. MICAI (1) 2018: 110-122 - [c9]Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa:
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. MLDM (2) 2018: 468-482 - 2017
- [j5]Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis:
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. 6(1): 37-51 (2017) - [j4]Javier Mauricio Antelis, Luis Montesano, Ander Ramos-Murguialday, Niels Birbaumer, Javier Minguez:
Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients. IEEE Trans. Biomed. Eng. 64(1): 99-111 (2017) - [c8]Alvaro D. Orjuela-Cañón, Osvaldo Renteria-Meza, Luis G. Hernández, Andrés Felipe Ruiz Olaya, Alexander Cerquera, Javier Mauricio Antelis:
Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals. CIARP 2017: 458-465 - 2016
- [j3]Berenice Gudiño-Mendoza, Gildardo Sánchez-Ante, Javier Mauricio Antelis:
Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. Comput. Math. Methods Medicine 2016: 3195373:1-3195373:11 (2016) - [c7]Berenice Gudiño-Mendoza, Humberto Sossa, Gildardo Sánchez-Ante, Javier Mauricio Antelis:
Classification of Motor States from Brain Rhythms Using Lattice Neural Networks. MCPR 2016: 303-312 - 2015
- [c6]Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis:
Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. MCPR 2015: 23-32 - 2012
- [j2]Carlos Escolano, Javier Mauricio Antelis, Javier Minguez:
A Telepresence Mobile Robot Controlled With a Noninvasive Brain-Computer Interface. IEEE Trans. Syst. Man Cybern. Part B 42(3): 793-804 (2012) - [c5]Eduardo Lopez-Larraz, Javier Mauricio Antelis, Luis Montesano, Ángel Gil-Agudo, Javier Minguez:
Continuous decoding of motor attempt and motor imagery from EEG activity in spinal cord injury patients. EMBC 2012: 1798-1801 - [c4]Javier Mauricio Antelis, Luis Montesano, Ander Ramos-Murguialday, Niels Birbaumer, Javier Minguez:
Continuous decoding of intention to move from contralesional hemisphere brain oscillations in severely affected chronic stroke patients. EMBC 2012: 4099-4103 - [c3]Javier Mauricio Antelis, Luis Montesano, Xavier Giralt, Alicia Casals, Javier Minguez:
Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb. EMBC 2012: 6410-6413
2000 – 2009
- 2009
- [j1]Iñaki Iturrate, Javier Mauricio Antelis, Andrea Kübler, Javier Minguez:
A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation. IEEE Trans. Robotics 25(3): 614-627 (2009) - [c2]Iñaki Iturrate, Javier Mauricio Antelis, Javier Minguez:
Synchronous EEG brain-actuated wheelchair with automated navigation. ICRA 2009: 2318-2325 - [c1]Carlos Escolano, Javier Mauricio Antelis, Javier Minguez:
Human brain-teleoperated robot between remote places. ICRA 2009: 4430-4437
Coauthor Index
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