Deep learning for near-infrared spectral data modelling: Hypes and benefits

A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks

(2022) Dário Passos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always

(2021) Puneet Mishra et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A review of deep learning used in the hyperspectral image analysis for agriculture

(2021) Chunying Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping

(2021) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

(2021) Dário Passos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra

(2021) Uladzislau Blazhko et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants

(2021) Puneet Mishra et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep calibration transfer: Transferring deep learning models between infrared spectroscopy instruments

(2021) Puneet Mishra et al.   INFRARED PHYSICS & TECHNOLOGY

Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument

(2021) Puneet Mishra et al.   JOURNAL OF CHEMOMETRICS

Nondestructive identification of barley seeds variety using near‐infrared hyperspectral imaging coupled with convolutional neural network

(2021) Tarandeep Singh et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Sensitivity and generalized analytical sensitivity expressions for quantitative analysis using convolutional neural networks

(2021) Kourosh Shariat et al.   ANALYTICA CHIMICA ACTA

Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy

(2021) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Deep learning in analytical chemistry

(2021) Bruno Debus et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy

(2020) Jean-Michel Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content

(2020) N.T. Anderson et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models

(2020) N.T. Anderson et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

End‐to‐end quantitative analysis modeling of near‐infrared spectroscopy based on convolutional neural network

(2019) Yuan‐Yuan Chen et al.   JOURNAL OF CHEMOMETRICS

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

(2019) Wartini Ng et al.   GEODERMA

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning classifiers for hyperspectral imaging: A review

(2019) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape ( Brassica napus L. ) leaf

(2018) Xinjie Yu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

(2018) Chenhao Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting

(2018) Jacopo Acquarelli et al.   Remote Sensing

One-dimensional convolutional neural networks for spectroscopic signal regression

(2017) Salim Malek et al.   JOURNAL OF CHEMOMETRICS

Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments

(2015) Jan Gerretzen et al.   ANALYTICAL CHEMISTRY

Artificial neural networks in foodstuff analyses: Trends and perspectives A review

(2009) Federico Marini   ANALYTICA CHIMICA ACTA

Ensemble preprocessing of near-infrared (NIR) spectra for multivariate calibration

(2008) Lu Xu et al.   ANALYTICA CHIMICA ACTA

Artificial neural networks in chemometrics: History, examples and perspectives

(2007) F. Marini et al.   MICROCHEMICAL JOURNAL