Claudia Gonzalez Viejo

发表

A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting

Claudia Gonzalez Viejo, Sigfredo Fuentes, S. Fuentes, 2020, Fermentation.

Use of non-invasive biometric techniques and machine learning algorithms to classify beer quality based on foamability parameters

Claudia Gonzalez Viejo, Sigfredo Fuentes, Kate Howell, 2017 .

Beer Aroma and Quality Traits Assessment Using Artificial Intelligence

Claudia Gonzalez Viejo, Sigfredo Fuentes, S. Fuentes, 2020 .

Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications

Claudia Gonzalez Viejo, Sigfredo Fuentes, Damir Dennis Torrico, 2018, Food Control.

Development of Artificial Neural Network Models to Assess Beer Acceptability Based on Sensory Properties Using a Robotic Pourer: A Comparative Model Approach to Achieve an Artificial Intelligence System

Claudia Gonzalez Viejo, Sigfredo Fuentes, Frank R. Dunshea, 2019, Beverages.

Emerging Technologies Based on Artificial Intelligence to Assess the Quality and Consumer Preference of Beverages

Claudia Gonzalez Viejo, Sigfredo Fuentes, Frank R. Dunshea, 2019, Beverages.

Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data

Claudia Gonzalez Viejo, Sigfredo Fuentes, Eden Jane Tongson, 2020, Sensors.

Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity

Claudia Gonzalez Viejo, Sigfredo Fuentes, Eden Jane Tongson, 2021, Sensors.

Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

Claudia Gonzalez Viejo, Sigfredo Fuentes, Alexis Pang, 2021, Sensors.

Digital Integration and Automated Assessment of Eye-Tracking and Emotional Response Data Using the BioSensory App to Maximize Packaging Label Analysis

Claudia Gonzalez Viejo, Sigfredo Fuentes, Frank R. Dunshea, 2021, Sensors.

Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling

Claudia Gonzalez Viejo, Sigfredo Fuentes, Eden Jane Tongson, 2021, Sensors.

Images and chocolate stimuli affect physiological and affective responses of consumers: A cross-cultural study

Claudia Gonzalez Viejo, D. Torrico, S. Fuentes, 2017 .

Effects of Imagery as Visual Stimuli on the Physiological and Emotional Responses

Claudia Gonzalez Viejo, D. Torrico, S. Fuentes, 2019, J.

Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters

Carlos Poblete-Echeverría, H. Medrano, Claudia Gonzalez Viejo, 2018, Comput. Electron. Agric..

Livestock Identification Using Deep Learning for Traceability

Claudia Gonzalez Viejo, N. Lipovetzky, S. Fuentes, 2022, Sensors.

Influence of expectations and emotions raised by packaging characteristics on orange juice acceptability and choice

Claudia Gonzalez Viejo, D. Torrico, S. Fuentes, 2022, Food Packaging and Shelf Life.

Novel digital technologies implemented in sensory science and consumer perception

Claudia Gonzalez Viejo, S. Fuentes, E. Tongson, 2021 .

The post-translational modification landscape of commercial beers

Claudia Gonzalez Viejo, Toan K. Phung, Cassandra L. Pegg, 2021, Scientific Reports.

Detection of smoke-derived compounds from bushfires in Cabernet-Sauvignon grapes, must, and wine using Near-Infrared spectroscopy and machine learning algorithms

Claudia Gonzalez Viejo, D. Torrico, S. Fuentes, 2020 .

Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms

Claudia Gonzalez Viejo, Sigfredo Fuentes, Roberta De Bei, 2020, Sensors.

Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling

Claudia Gonzalez Viejo, S. Fuentes, M. Mora, 2022, Comput. Electron. Agric..

Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate

Claudia Gonzalez Viejo, Sigfredo Fuentes, Frank R. Dunshea, 2018, Sensors.

Digital Agriculture Food and Wine

Claudia Gonzalez Viejo, 2020 .

Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach

Claudia Gonzalez Viejo, Roberta De Bei, Sigfredo Fuentes, 2019, Sensors.