Georgios Leontidis

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University of Aberdeen

United Kingdom

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Recent Grants

Grant: Close

Engineering Transformation for the Integration of Sensor Networks: A Feasibility Study - 'ENTRAIN'

Open Date: 2019-02-04

Close Date: 2020-02-03

Grant: Close

CORe Monitoring Techniques And EXperimental Validation And Demonstration

Open Date: 2017-09-01

Close Date: 2021-08-01

Grant: Close

SMARTGREEN- Big data and eco-innovative resource use in the NSR greenhouse industry

Open Date: 2017-09-01

Close Date: 2021-08-01

Articles (21)

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2022

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2022

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2022

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2022

Collaborators (17)

nicholas watson

Professor of Artificial Intelligence in Food

University of Leeds

UNITED KINGDOM

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Mel Woods

Professor at University of Dundee

University of Dundee

UNITED KINGDOM

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Milan Markovic

University of Aberdeen

UNITED KINGDOM

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Somayajulu Sripada

Senior Lecturer

University of Aberdeen

UNITED KINGDOM

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Iraklis Giannakis

UNITED KINGDOM

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Dewei Yi

University of Aberdeen

UNITED KINGDOM

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Matthias Kuhnert

University of Aberdeen

UNITED KINGDOM

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Marc Hanheide

Professor

University of Lincoln

UNITED KINGDOM

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Peter Edwards

University of Aberdeen

UNITED KINGDOM

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Clare Sutherland

Senior Lecturer

University of Aberdeen

UNITED KINGDOM

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Kevin Allan

University of Aberdeen

UNITED KINGDOM

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Mubarak Shah

University of Central Florida

UNITED STATES

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Anshuman Bhardwaj

University of Aberdeen

UNITED KINGDOM

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Marion Campbell

University of Aberdeen

UNITED KINGDOM

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Javier Martin-Torres

University of Aberdeen

UNITED KINGDOM

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Fabio De Sousa Ribeiro

Imperial College London

UNITED KINGDOM

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Mingjun Zhong

University of Aberdeen

UNITED KINGDOM

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Georgios Leontidis

Research Interests

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Recent Grants

Articles (21)

OmniNet

Stereotypical Bias Amplification, and Reversal, in an Experimental Model of Human Interaction with Generative AI

Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods

A flexible deep learning crater detection scheme using Segment Anything Model (SAM)

Model pruning enables localized and efficient federated learning for yield forecasting and data sharing

Automatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning

Object-centric Learning with Capsule Networks: A Survey

Bottom-up formulations for the multi-criteria decision analysis of oil and gas pipeline decommissioning in the North Sea: Brent field case study

A Multi-Farm Global-to-Local Expert-Informed Machine Learning System for Strawberry Yield Forecasting

Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food

The Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework

LLEDA—Lifelong Self-Supervised Domain Adaptation

LLEDA—Lifelong Self-Supervised Domain Adaptation

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

Decarbonising Our Food Systems

Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting

Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

EDLaaS

Hyperspherically Regularized Networks for Self-Supervision

Machine learning for analysis of real nuclear plant data in the frequency domain

Collaborators (17)

nicholas watson

Mel Woods

Milan Markovic

Somayajulu Sripada

Iraklis Giannakis

Dewei Yi

Matthias Kuhnert

Marc Hanheide

Peter Edwards

Clare Sutherland

Kevin Allan

Mubarak Shah

Anshuman Bhardwaj

Marion Campbell

Javier Martin-Torres

Fabio De Sousa Ribeiro

Mingjun Zhong

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