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Camilo E Valderrama

Showing results (1-10 of 25) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Using Attentive Network Layers for Identifying Relevant EEG channels for Subject-Independent Emotion Recognition ApproachesCamilo E Valderrama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A comparison between the Hilbert-Huang and Discrete Wavelet Transforms to recognize emotions from electroencephalographic signalsCamilo E Valderrama
Computers in Biology and Medicine|March 27, 2025
Impact of sex differences on subject-independent EEG-based emotion recognition modelsAnshul Sheoran, Camilo E Valderrama
Frontiers in Psychiatry|February 25, 2025
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layersCamilo E Valderrama, Anshul Sheoran
BMC Medical Informatics and Decision Making|November 30, 2024
Exploring parental factors influencing low birth weight on the 2022 CDC natality datasetSumaiya Sultana Dola, Camilo E Valderrama
Diagnostics (Basel, Switzerland)|January 10, 2026
Evaluating the Impact of Demographic Factors on Subject-Independent EEG-Based Emotion Recognition ApproachesNathan Douglas, Maximilien Oosterhuis, Camilo E Valderrama
Frontiers in Psychology|September 4, 2023
Identifying relevant asymmetry features of EEG for emotion processingFatima Islam Mouri, Camilo E Valderrama, Sergio G Camorlinga
IEEE Journal of Biomedical and Health Informatics|May 14, 2025
Bipartite Graph Adversarial Network for Subject-Independent Emotion RecognitionMarzieh Niaki, Shyamal Y Dharia, Yangjun Chen, et al.
Biomedical Physics & Engineering Express|October 23, 2025
Applied machine learning for nociceptive pain detection using EEG spectral featuresRogelio Sotero Reyes-Galaviz, Luis Villaseñor-Pineda, Camilo E Valderrama
Frontiers in Physiology|August 4, 2017
Template-based Quality Assessment of the Doppler Ultrasound Signal for Fetal MonitoringCamilo E Valderrama, Faezeh Marzbanrad, Lisa Stroux, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Using Attentive Network Layers for Identifying Relevant EEG channels for Subject-Independent Emotion Recognition ApproachesCamilo E Valderrama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A comparison between the Hilbert-Huang and Discrete Wavelet Transforms to recognize emotions from electroencephalographic signalsCamilo E Valderrama
Computers in Biology and Medicine|March 27, 2025
Impact of sex differences on subject-independent EEG-based emotion recognition modelsAnshul Sheoran, Camilo E Valderrama
Frontiers in Psychiatry|February 25, 2025
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layersCamilo E Valderrama, Anshul Sheoran
BMC Medical Informatics and Decision Making|November 30, 2024
Exploring parental factors influencing low birth weight on the 2022 CDC natality datasetSumaiya Sultana Dola, Camilo E Valderrama
Diagnostics (Basel, Switzerland)|January 10, 2026
Evaluating the Impact of Demographic Factors on Subject-Independent EEG-Based Emotion Recognition ApproachesNathan Douglas, Maximilien Oosterhuis, Camilo E Valderrama
Frontiers in Psychology|September 4, 2023
Identifying relevant asymmetry features of EEG for emotion processingFatima Islam Mouri, Camilo E Valderrama, Sergio G Camorlinga
IEEE Journal of Biomedical and Health Informatics|May 14, 2025
Bipartite Graph Adversarial Network for Subject-Independent Emotion RecognitionMarzieh Niaki, Shyamal Y Dharia, Yangjun Chen, et al.
Biomedical Physics & Engineering Express|October 23, 2025
Applied machine learning for nociceptive pain detection using EEG spectral featuresRogelio Sotero Reyes-Galaviz, Luis Villaseñor-Pineda, Camilo E Valderrama
Frontiers in Physiology|August 4, 2017
Template-based Quality Assessment of the Doppler Ultrasound Signal for Fetal MonitoringCamilo E Valderrama, Faezeh Marzbanrad, Lisa Stroux, et al.
Pageof 3