Nikolaos L. Tsakiridis
Orcid: 0000-0002-1904-9029
According to our database1,
Nikolaos L. Tsakiridis
authored at least 23 papers
between 2015 and 2023.
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Bibliography
2023
Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks.
Sensors, December, 2023
Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands.
Remote. Sens., November, 2023
Comput. Electron. Agric., September, 2023
On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries.
Remote. Sens., March, 2023
Estimation of Sugar Content in Wine Grapes via In Situ VNIR-SWIR Point Spectroscopy Using Explainable Artificial Intelligence Techniques.
Sensors, February, 2023
J. Intell. Robotic Syst., February, 2023
Transferability of Machine Learning Models for Soil Properties on Lucas Topsoil Spectral Libraries.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Assessing Machine Learning Models for Soil Property Prediction Using Resampled Spectral Data: Implications for Hyperspectral Spaceborne Imaging.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Topsoil Organic Carbon Estimations in Greece Via Deep Learning and Open Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation.
Comput. Methods Programs Biomed., 2022
2021
Remote. Sens., 2021
Cropland Topsoil Properties Mapping by Applying a Machine Learning Algorithm to Open Access Copernicus Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data.
Remote. Sens., 2020
Neurocomputing, 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2019
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries.
Appl. Soft Comput., 2019
2018
An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
DECO<sub>3</sub>RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models.
Expert Syst. Appl., 2017
A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
DECO<sub>3</sub>R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems.
Knowl. Based Syst., 2016
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015