Instituto de Neurociencias de Castilla y León-ko ikertzaileekin lankidetzan egindako argitalpenak (68)

2024

  1. A stereoscopic video computer vision system for weed discrimination in rice field under both natural and controlled light conditions by machine learning

    Measurement: Journal of the International Measurement Confederation, Vol. 237

  2. Automatic non-destructive estimation of polyphenol oxidase and peroxidase enzyme activity levels in three bell pepper varieties by Vis/NIR spectroscopy imaging data based on machine learning methods

    Chemometrics and Intelligent Laboratory Systems, Vol. 250

  3. Relation between task-related activity modulation and cortical inhibitory function in schizophrenia and healthy controls: a TMS–EEG study

    European Archives of Psychiatry and Clinical Neuroscience, Vol. 274, Núm. 4, pp. 837-847

2023

  1. A discriminant analysis of the P3b wave with electroencephalogram by feature-electrode pairs in schizophrenia diagnosis

    IET Signal Processing, Vol. 17, Núm. 6

  2. Contrastive Learning over Random Fourier Features for IoT Network Intrusion Detection

    IEEE Internet of Things Journal, Vol. 10, Núm. 10, pp. 8505-8513

  3. Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging

    Algorithms, Vol. 16, Núm. 2

  4. From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging

    Horticulturae, Vol. 9, Núm. 8

2022

  1. Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants

    Journal of Near Infrared Spectroscopy, Vol. 30, Núm. 4, pp. 197-207

  2. Schizophrenia induces abnormal frequency-dependent patterns of dynamic brain network reconfiguration during an auditory oddball task

    Journal of neural engineering, Vol. 19, Núm. 1

  3. Supervised contrastive learning over prototype-label embeddings for network intrusion detection

    Information Fusion, Vol. 79, pp. 200-228

2021

  1. Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric‐load forecasting

    Sensors, Vol. 21, Núm. 9

  2. Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions

    Chemometrics and Intelligent Laboratory Systems, Vol. 217

  3. Identification of internal defects in potato using spectroscopy and computational intelligence based on majority voting techniques

    Foods, Vol. 10, Núm. 5

  4. Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning

    IEEE Access, Vol. 9, pp. 153153-153170

  5. Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses

    Knowledge-Based Systems, Vol. 219

  6. Neurobiological underpinnings of cognitive subtypes in psychoses: A cross-diagnostic cluster analysis

    Schizophrenia Research, Vol. 229, pp. 102-111

  7. Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data

    Heliyon, Vol. 7, Núm. 9

  8. Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

    Applied Optics, Vol. 60, Núm. 30, pp. 9560-9569

  9. Novel data-driven models applied to short-term electric load forecasting

    Applied Sciences (Switzerland), Vol. 11, Núm. 12

2020

  1. A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties

    Foods, Vol. 9, Núm. 2