Javier Mauricio Antelis

47 papers A* 2B 1C 1Journal 27Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Early Detection via EEG Signals of Self-Initiated Reaching and Grasping Movements Performed With the Subject's Selected Upper Extremity. IEEE Access Jorge A. Sanchez-Bautista, Javier Mauricio Antelis, Omar Mendoza-Montoya
2025	J	`jnl`	From pronounced to imagined: improving speech decoding with multi-condition EEG data. Frontiers Neuroinformatics Denise Alonso-Vázquez, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier Mauricio Antelis
2024	B	`conf`	AR-assisted navigation of a mobile robot controlled by an SSVEP-based BCI. CBMS Luis Humberto S. Vaca, Luis Fernando Román-Padilla, Omar Mendoza-Montoya, Javier Mauricio Antelis
2024	—	`conf`	Enhancing User Authentication Through EEG Based P300 Speller Response. MICAI (2) Adnan Elahi Khan Khalil, Jesús Arturo Pérez Díaz, Jose Antonio Cantoral-Ceballos, Javier Mauricio Antelis
2023	J	`jnl`	Análisis y clasificación de señales electroencefalográficas para el control de una órtesis robótica de mano con una interfaz cerebro computador basada en el paradigma de imaginación motora. Res. Comput. Sci. Diego Sánchez González, Johann Barragán, Omar Mendoza-Montoya, Javier Mauricio Antelis
2023	J	`jnl`	Clasificación de ondas gravitacionales de supernovas usando redes neuronales convolucionales. Res. Comput. Sci. Aldo A. Álvarez, Javier Mauricio Antelis, Claudia Moreno
2023	J	`jnl`	Comparación de algoritmos de clasificación en el reconocimiento en ondas gravitacionales del tipo lenta, moderada y rápida. Res. Comput. Sci. Miguel A. Avendaño-Bernal, César Eduardo Tiznado Alonso, Javier Mauricio Antelis, Claudia Moreno
2023	J	`jnl`	Detector de ondas gravitacionales fenomenológicas de supernovas basado en aprendizaje supervisado. Res. Comput. Sci. César Eduardo Tiznado Alonso, Claudia Moreno, Manuel D. Morales, Javier Mauricio Antelis
2023	J	`jnl`	EEG-Based Classification of Spoken Words Using Machine Learning Approaches. Comput. Denise Alonso-Vázquez, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier Mauricio Antelis
2023	J	`jnl`	Evaluación de métodos de aprendizaje supervisado para la clasificación de palabras utilizando señales de electroencefalografía. Res. Comput. Sci. Denise Alonso-Vázquez, Tonatiuh Hernández-del-Toro, Hector R. Martinez, Carlos A. Reyes-García, Javier Mauricio Antelis
2023	J	`jnl`	Navegación libre y activa de un robot móvil controlado con BCI basada en SSVEP. Res. Comput. Sci. Luis Fernando Román-Padilla, Luis Humberto S. Vaca, Juan David Chailloux Peguero, Omar Mendoza-Montoya, Javier Mauricio Antelis
2023	J	`jnl`	Reconocimiento de movimientos finos de la mano basado en señales de electromiografía usando algoritmos de aprendizaje automático supervisados. Res. Comput. Sci. José Miguel Figarola, Yelile Iga Valdés, Victor González, Javier Mauricio Antelis, Omar Mendoza-Montoya
2022	J	`jnl`	A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant's Differentiators. IEEE Access Mayumi Hori Uribe, Carlos Renato Vázquez, Javier Mauricio Antelis
2022	J	`jnl`	Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients. IEEE Access Luis Guillermo Hernández-Rojas, Jessica Cantillo-Negrete, Omar Mendoza-Montoya, Rubén Isaac Cariño-Escobar, Ismael Leyva-Martinez, Ana Valeria Aguirre Guemez, Aida Barrera-Ortiz, Paul Carrillo-Mora, Javier Mauricio Antelis
2022	J	`jnl`	Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface. Frontiers Neuroinformatics Nayid Triana Guzmán, Alvaro D. Orjuela-Cañón, Andrés L. Jutinico, Omar Mendoza-Montoya, Javier Mauricio Antelis
2022	—	`conf`	Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning. MCPR Rogelio Sotero Reyes-Galaviz, Omar Mendoza-Montoya, Javier Mauricio Antelis
2021	J	`jnl`	Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach. Sensors Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander I. Nesterov
2021	J	`jnl`	Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis. Sensors Claudia X. Perez-Ortiz, José Luis Gordillo, Omar Mendoza-Montoya, Javier Mauricio Antelis, Ricardo Caraza, Hector R. Martinez
2020	J	`jnl`	Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals. IEEE Access Luis Guillermo Hernández-Rojas, Omar Mendoza-Montoya, Javier Mauricio Antelis
2020	J	`jnl`	Deep learning for gravitational-wave data analysis: A resampling white-box approach. CoRR Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander I. Nesterov
2020	J	`jnl`	Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions. Sensors Juan David Chailloux Peguero, Omar Mendoza-Montoya, Javier Mauricio Antelis
2020	J	`jnl`	Spiking Neural Networks applied to the classification of motor tasks in EEG signals. Neural Networks Carlos Daniel Virgilio-González, Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón
2019	—	`conf`	Decoding Steady-State Visual Evoked Potentials From EEG Signals: Towards an EEG-Triggered FES System to Restore Hand Grasp Function. UEMCON Andrés Felipe Ruiz Olaya, Javier Mauricio Antelis, Alexander Cerquera
2019	—	`conf`	Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. MCPR Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Rubén Isaac Cariño-Escobar, Luis G. Hernández, Luis Eduardo Falcón
2019	J	`jnl`	Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR 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
2019	—	`conf`	Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. MCPR Carlos Daniel Virgilio-González, Humberto Sossa, Javier Mauricio Antelis, Luis Eduardo Falcón
2019	—	`conf`	Self-paced movement intention recognition from EEG signals during upper limb robot-assisted rehabilitation. NER Luis G. Hernández, Javier Mauricio Antelis
2019	—	`conf`	Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. MCPR Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón
2018	—	`conf`	A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals. MCPR Luis G. Hernández, Javier Mauricio Antelis
2018	—	`conf`	Artificial Neural Networks and Common Spatial Patterns for the Recognition of Motor Information from EEG Signals. MICAI (1) Carlos Daniel Virgilio-González, Juan Humberto Sossa Azuela, Javier Mauricio Antelis
2018	J	`jnl`	Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. Biomed. Signal Process. Control. Javier Mauricio Antelis, Berenice Gudiño-Mendoza, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa
2018	—	`conf`	Discrimination Between Normal Driving and Braking Intention from Driver's Brain Signals. IWBBIO (1) Efraín Martínez, Luis Guillermo Hernández, Javier Mauricio Antelis
2018	J	`jnl`	EEG-Based Detection of Braking Intention Under Different Car Driving Conditions. Frontiers Neuroinformatics Luis G. Hernández, Óscar Martínez Mozos, José M. Ferrández, Javier Mauricio Antelis
2018	—	`conf`	Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. MLDM (2) Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa
2017	J	`jnl`	Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
2017	J	`jnl`	Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients. IEEE Trans. Biomed. Eng. Javier Mauricio Antelis, Luis Montesano, Ander Ramos-Murguialday, Niels Birbaumer, Javier Minguez
2017	C	`conf`	Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals. CIARP Alvaro D. Orjuela-Cañón, Osvaldo Renteria-Meza, Luis G. Hernández, Andrés Felipe Ruiz Olaya, Alexander Cerquera, Javier Mauricio Antelis
2016	—	`conf`	Classification of Motor States from Brain Rhythms Using Lattice Neural Networks. MCPR Berenice Gudiño-Mendoza, Humberto Sossa, Gildardo Sánchez-Ante, Javier Mauricio Antelis
2016	J	`jnl`	Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. Comput. Math. Methods Medicine Berenice Gudiño-Mendoza, Gildardo Sánchez-Ante, Javier Mauricio Antelis
2015	—	`conf`	Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. MCPR Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis
2012	J	`jnl`	A Telepresence Mobile Robot Controlled With a Noninvasive Brain-Computer Interface. IEEE Trans. Syst. Man Cybern. Part B Carlos Escolano, Javier Mauricio Antelis, Javier Minguez
2012	—	`conf`	Continuous decoding of intention to move from contralesional hemisphere brain oscillations in severely affected chronic stroke patients. EMBC Javier Mauricio Antelis, Luis Montesano, Ander Ramos-Murguialday, Niels Birbaumer, Javier Minguez
2012	—	`conf`	Continuous decoding of motor attempt and motor imagery from EEG activity in spinal cord injury patients. EMBC Eduardo Lopez-Larraz, Javier Mauricio Antelis, Luis Montesano, Ángel Gil-Agudo, Javier Minguez
2012	—	`conf`	Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb. EMBC Javier Mauricio Antelis, Luis Montesano, Xavier Giralt, Alicia Casals, Javier Minguez
2009	J	`jnl`	A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation. IEEE Trans. Robotics Iñaki Iturrate, Javier Mauricio Antelis, Andrea Kübler, Javier Minguez
2009	A*	`conf`	Human brain-teleoperated robot between remote places. ICRA Carlos Escolano, Javier Mauricio Antelis, Javier Minguez
2009	A*	`conf`	Synchronous EEG brain-actuated wheelchair with automated navigation. ICRA Iñaki Iturrate, Javier Mauricio Antelis, Javier Minguez