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Erik Zamora Gómez

Researcher

 https://orcid.org/0000-0002-3682-8585

  • México

Se calcula con base en el n.º de publicaciones almacenadas en Pure y citas de Scopus
Se calcula con base en el n.º de publicaciones almacenadas en Pure y citas de Scopus
Se calcula con base en el n.º de publicaciones almacenadas en Pure y citas de Scopus
20132022

Resultados de investigaciones por año

  • 21 Contribución a la conferencia
  • 14 Artículo
  • 2 Artículo de la conferencia
  • 1 Capítulo
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Contribución a la conferencia

Resultados de la búsqueda

  • Contribución a la conferencia

    A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization

    Solórzano-Espíndola, C. E., Sossa, H. & Zamora, E., 2021, Pattern Recognition - 13th Mexican Conference, MCPR 2021, Proceedings. Roman-Rangel, E., Kuri-Morales, Á. F., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A. & Olvera-López, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 305-315 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12725 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    1 Cita (Scopus)

  • Classification of the estrous cycle through texture and shape features

    Delgado, L., Hernandez, G., Zamora, E., Sossa, H., Barreto, A., Ramos, F. & Reyes, R., 2 feb. 2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-7 7 p. (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings; vol. 2018-January).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

  • Comparing deep and dendrite neural networks: A case study

    Ghernande, G. H., Zamora, E. & Sossa, H., 2017, Pattern Recognition - 9th Mexican Conference, MCPR 2017, Proceedings. Carrasco-Ochoa, J. A., Martinez-Trinidad, J. F. & Olvera-Lopez, J. A. (eds.). Springer Verlag, p. 32-41 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10267 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    2 Citas (Scopus)

  • Dendrite Ellipsoidal Neuron

    Arce, F., Zamora, E. & Sossa, H., 30 jun. 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 795-802 8 p. 7965933. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017-May).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    6 Citas (Scopus)

  • Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification

    Arce, F., Mendoza-Montoya, O., Zamora, E., Antelis, J. M., Sossa, H., Cantillo-Negrete, J., Carino-Escobar, R. I., Hernández, L. G. & Falcón, L. E., 2019, Pattern Recognition - 11th Mexican Conference, MCPR 2019, Proceedings. Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., Olvera-López, J. A. & Salas, J. (eds.). Springer Verlag, p. 80-88 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11524 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    1 Cita (Scopus)

  • Dendrite Morphological Neural Networks trained by Differential Evolution

    Arce, F., Zamora, E., Sossa, H. & Barron, R., 9 feb. 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 7850259. (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    9 Citas (Scopus)

  • Dendrite morphological neurons trained by stochastic gradient descent

    Zamora, E. & Sossa, H., 9 feb. 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 7849933. (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    8 Citas (Scopus)

  • Ellipsoid method for Simultaneous Localization and Mapping of mobile robot

    Zamora, E. & Yu, W., 2014, 53rd IEEE Conference on Decision and Control,CDC 2014. February ed. Institute of Electrical and Electronics Engineers Inc., p. 5334-5339 6 p. 7040223. (Proceedings of the IEEE Conference on Decision and Control; vol. 2015-February, n.º February).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    1 Cita (Scopus)

  • Graph Representation for Learning the Traveling Salesman Problem

    Gutiérrez, O., Zamora, E. & Menchaca, R., 2021, Pattern Recognition - 13th Mexican Conference, MCPR 2021, Proceedings. Roman-Rangel, E., Kuri-Morales, Á. F., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A. & Olvera-López, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12725 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

  • Mobile robot navigation in dynamic and unknown environments

    Zamora, E. & Yu, W., 9 dic. 2014, 2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014. Institute of Electrical and Electronics Engineers Inc., p. 1046-1051 6 p. 6981473. (2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

  • Morphological-linear neural network

    Hernández, G., Zamora, E. & Sossa, H., 12 oct. 2018, 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8491520. (IEEE International Conference on Fuzzy Systems; vol. 2018-July).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    4 Citas (Scopus)

  • Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks

    Solorzano-Espindola, C. E., Zamora, E. & Sossa, H., 2021, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Institute of Electrical and Electronics Engineers Inc., p. 1006-1009 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    6 Citas (Scopus)

  • Recognizing motor imagery tasks using deep multi-layer perceptrons

    Arce, F., Zamora, E., Hernández, G., Antelis, J. M. & Sossa, H., 2018, Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, Proceedings. Perner, P. (ed.). Springer Verlag, p. 468-482 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10935 LNAI).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    2 Citas (Scopus)

  • RiskIPN: Pavement Risk Database for Segmentation with Deep Learning

    Escalona, U., Zamora, E. & Sossa, H., 2021, Advances in Computational Intelligence - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Proceedings. Batyrshin, I., Gelbukh, A. & Sidorov, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 69-80 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13067 LNAI).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

  • Sliding mode SLAM for robust simultaneous localization and mapping

    Ortiz, S., Yu, W. & Zamora, E., 26 dic. 2018, Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., p. 5674-5679 6 p. 8591121. (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    1 Cita (Scopus)

  • Sliding mode three-dimension SLAM with application to quadrotor helicopter

    Santos, S. O., Yu, W. & Zamora, E., 13 nov. 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018. Institute of Electrical and Electronics Engineers Inc., 8533920. (2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    3 Citas (Scopus)

  • Spiral Trajectories for Building Inspection with Quadrotors

    Vasquez-Gomez, J. I., Troncoso Romero, D. E., Antonio-Cruz, M. & Zamora, E., 2022, 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022. Institute of Electrical and Electronics Engineers Inc., p. 891-896 6 p. (2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    Acceso abierto
    3 Citas (Scopus)

  • Supervised and unsupervised neural networks: Experimental study for anomaly detection in electrical consumption

    García, J., Zamora, E. & Sossa, H., 2018, Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings. de Lourdes Martínez-Villaseñor, M., Batyrshin, I. & Ponce Espinosa, H. E. (eds.). Springer Verlag, p. 98-109 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11288 LNAI).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    4 Citas (Scopus)

  • Towards automatic inspection: Crack recognition based on Quadrotor UAV-taken images

    Vazquez-Nicolas, J. M., Zamora, E., Gonzalez-Hernandez, I., Lozano, R. & Sossa, H., 31 ago. 2018, 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018. Institute of Electrical and Electronics Engineers Inc., p. 654-659 6 p. 8453390. (2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    19 Citas (Scopus)

  • Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals

    Hernández, G., Hernández, L. G., Zamora, E., Sossa, H., Antelis, J. M., Mendoza-Montoya, O. & Falcón, L. E., 2019, Pattern Recognition - 11th Mexican Conference, MCPR 2019, Proceedings. Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., Olvera-López, J. A. & Salas, J. (eds.). Springer Verlag, p. 389-397 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11524 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    1 Cita (Scopus)

  • Vision-based blind spot warning system by deep neural networks

    Virgilio G, V. R., Sossa, H. & Zamora, E., 2020, Pattern Recognition - 12th Mexican Conference, MCPR 2020, Proceedings. Figueroa Mora, K. M., Anzurez Marín, J., Cerda, J., Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F. & Olvera-López, J. A. (eds.). Springer, p. 185-194 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12088 LNCS).

    Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

    Acceso abierto
    5 Citas (Scopus)