| Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples M Barea-Sepúlveda, M Ferreiro-González, JLP Calle, GF Barbero, ... Microchemical Journal 172, 106893, 2022 | 32 | 2022 |
| Detection of adulterations in fruit juices using machine learning methods over FT-IR spectroscopic data JLP Calle, M Ferreiro-González, A Ruiz-Rodríguez, D Fernández, ... Agronomy 12 (3), 683, 2022 | 23 | 2022 |
| Discrimination of ignitable liquid residues in burned petroleum-derived substrates by using HS-MS eNose and chemometrics B Falatová, M Ferreiro-González, JL P. Calle, JÁ Álvarez, M Palma Sensors 21 (3), 801, 2021 | 16 | 2021 |
| A Methodology Based on FT-IR Data Combined with Random Forest Model to Generate Spectralprints for the Characterization of High-Quality Vinegars JLP Calle, M Ferreiro-González, A Ruiz-Rodríguez, GF Barbero, ... Foods 10 (6), 1411, 2021 | 14 | 2021 |
| Rapid detection and quantification of adulterants in fruit juices using machine learning tools and spectroscopy data JLP Calle, M Barea-Sepúlveda, A Ruiz-Rodríguez, JÁ Álvarez, ... Sensors 22 (10), 3852, 2022 | 11 | 2022 |
| Characterization of biodegraded ignitable liquids by headspace–ion mobility spectrometry JL P. Calle, M Ferreiro-González, MJ Aliaño-González, G F. Barbero, ... Sensors 20 (21), 6005, 2020 | 10 | 2020 |
| Novel method based on ion mobility spectrometry combined with machine learning for the discrimination of fruit juices JLP Calle, M Vázquez-Espinosa, M Barea-Sepúlveda, A Ruiz-Rodríguez, ... Foods 12 (13), 2536, 2023 | 6 | 2023 |
| Machine learning approaches over ion mobility spectra for the discrimination of ignitable liquids residues from interfering substrates JLP Calle, B Falatová, MJ Aliaño-González, M Ferreiro-González, ... Talanta Open 6, 100125, 2022 | 5 | 2022 |
| Rapid and automated method for detecting and quantifying adulterations in high-quality honey using vis-NIRs in combination with machine learning JLP Calle, I Punta-Sánchez, AV González-de-Peredo, A Ruiz-Rodríguez, ... Foods 12 (13), 2491, 2023 | 4 | 2023 |
| A Rapid Method for Authentication of Macroalgae Based on Vis-NIR Spectroscopy Data Combined with Chemometrics Approach F Gumansalangi, JLP Calle, M Barea-Sepúlveda, Manikharda, M Palma, ... Water 15 (1), 100, 2022 | 2 | 2022 |
| Quality Control of Honey by Visible and Near Infrared Spec-troscopy (Vis-NIRS) and Headspace-Ion Mobility Spectrometry (HS-IMS) JLP Calle, M Ferreiro-González, MJ Aliaño-González, E Espada-Bellido, ... The 3rd International Electronic Conference on Environmental Research and …, 2020 | 2 | 2020 |
| Rapid Classification of Petroleum Waxes: A Vis-NIR Spectroscopy and Machine Learning Approach M Barea-Sepúlveda, JLP Calle, M Ferreiro-González, M Palma Foods 12 (18), 3362, 2023 | 1 | 2023 |
| Enhanced Differentiation of Wild and Feeding Civet Coffee Using Near-Infrared Spectroscopy with Various Sample Pretreatments and Chemometric Approaches D Prajna, M Álvarez, M Barea-Sepúlveda, JLP Calle, D Suhandy, ... Horticulturae 9 (7), 778, 2023 | 1 | 2023 |
| Machine learning-based approaches to Vis-NIR data for the automated characterization of petroleum wax blends M Barea-Sepúlveda, JLP Calle, M Ferreiro-González, M Palma Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 310, 123910, 2024 | | 2024 |
| Caracterización de Vinagres de Jerezmediante FT-IR en combinación conanálisis multivariante JLP Calle, MF Gonzalez, AR Rodríguez, GF Barbero, M Palma XLIII jornadas de viticultura y enología de la Tierra de Barros: III …, 2021 | | 2021 |
