Georgios Leontidis - Concepedia

Author

Georgios Leontidis

Also Known As

G Leontidis, G. Leontidis, Georgios Leontidis, Kundu, Souvik, Leontidis G, Leontidis, Georgios, Stefanos Kollias, Stefanos Kollias (17161576)

119

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

University of Lincoln University of Aberdeen National Technical University of Athens Chalmers University of Technology University of Glasgow

About

Georgios Leontidis is an author at University of Lincoln specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	16	709
2	Health Sciences	4	4	219
3	Medicine	3	3	77
4	Business	2	2	46
5	Public Health	2	2	160

Georgios Leontidis

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Are Distributed Ledger Technologies the panacea for food traceability? Simon Pearson, David May, Georgios Leontidis, Global Food Security	2019	210
Lightweight deep learning models for detecting COVID-19 from chest X-ray images Stefanos Karakanis, Georgios Leontidis Computers in Biology and Medicine Chest X-ray ImagesImage AnalysisMachine LearningMedical ImagingDeep Learning	2020	142
The role of cross-silo federated learning in facilitating data sharing in the agri-food sector Aiden Durrant, Milan Marković, David R. Matthews, Computers and Electronics in Agriculture EngineeringAgri-food SectorData ScienceFood SystemsFederated Learning	2021	96
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse\n Environments Bashar Alhnaity, Simon Pearson, Georgios Leontidis, arXiv (Cornell University)	2019	87
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors Francesco Calivá, Fabio Sousa De Ribeiro, Antonios Mylonakis, Artificial IntelligenceConvolutional Neural NetworkAnomaly DetectionMachine LearningEngineering	2018	70
Capsule Routing via Variational Bayes Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos Kollias arXiv (Cornell University)	2019	66
How might technology rise to the challenge of data sharing in agri-food? Aiden Durrant, Milan Marković, David R. Matthews, Global Food Security EconomicsTechnologyAgricultural TechnologyEngineeringDigital Agriculture	2021	64
Imputation of missing sub-hourly precipitation data in a large sensor network: A machine learning approach Benedict D. Chivers, John R. Wallbank, Steven J. Cole, Journal of Hydrology HydrometeorologyMeteorologyLarge Sensor NetworkNumerical Weather PredictionEnvironmental Monitoring	2020	44
A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images Georgios Leontidis, Bashir Al-Diri, Andrew Hunter Computers in Biology and Medicine Diabetic RetinopathyOcular DiseaseImage AnalysisEngineeringOphthalmology	2017	39
A flexible deep learning crater detection scheme using Segment Anything Model (SAM) Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, Icarus EngineeringFeature DetectionMachine LearningCounting CratersImage Classification	2023	39

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