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Research

Publications: DR Nataliia Efremova

Corcoran E, Bebber DP, Curceac S, Efremova N, Lashkari A, Mead A, Morris RJ, Pywell RF et al. ( 2026 ) . A comprehensive UK crop yield dataset incorporating satellite, weather, and soil type information . Scientific Data vol. 13 , ( 1 )
Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D et al. ( 2025 ) . Towards deployment-centric multimodal AI beyond vision and language . Nature Machine Intelligence vol. 7 , ( 10 ) 1612 - 1624 .
Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D et al. ( 2025 ) . Towards deployment-centric multimodal AI beyond vision and language .
Zhao W, Efremova N ( 2025 ) . Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring . Conference: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium vol. 00 , 8087 - 8090 .
Unagaev A, Korotkova I ( 2025 ) . Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistical information . Environmental Data Science vol. 4 ,
Zhao W, Chuluunbat G, Unagaev A ( 2024 ) . Soil Nitrogen Forecasting From Environmental Variables Provided By Multisensor Remote Sensing Images . Conference: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium vol. 00 , 4272 - 4275 .
Zhao W . Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model . Conference: ICLR 2024 ( Messe Wien Exhibition Congress Center, Austria ) from: 07/05/2024 to: 11/05/2024 ,
Efremova N, Weiying Z ( 2023 ) . Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network . Conference: Neural Information Processing Systems ( New Orleans, USA )
Zhao W, Efremova N ( 2023 ) . Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network .
Korotkova I, Efremova N ( 2023 ) . AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery .
Yuan L, Zhou X ( 2023 ) . Exploring Factors Influencing Employees’ Adoption Of Artificial Intelligence: Evidence From China . Proceedings of the British Academy 2023 . Conference: British Academy of Management Annual Conference 2023 ( Brighton ) from: 04/09/2023 to: 07/09/2023 ,
Efremova N, Foley JC, Karimi R ( 2023 ) . AI for Sustainable Agriculture and Rangeland Monitoring . The Ethics of Artificial Intelligence for the Sustainable Development Goals , vol. 152 , Springer Nature
Efremova N, Seddik MEA, Erten E ( 2021 ) . Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing . IEEE Transactions on Geoscience and Remote Sensing vol. 60 , 1 - 11 .
Efremova N ( 2021 ) . Biophysical Parameter Estimation Using Earth Observation Data in a Multi-Sensor Data Fusion Approach: CycleGAN . Conference: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS vol. 00 , 5965 - 5968 .
Thomaz F, Efremova N, Mazzi F, Clark G, Macdonald E, Hadi R, Bell JJ, Stephen AT ( 2021 ) . Ethics for AI in Business .
Efremova N, Hajimirza N, Bassett D ( 2020 ) . Understanding consumer attention on mobile devices . Conference: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) vol. 00 , 919 - 919 .
Vaze S, Foley J, Seddiq M, Unagaev A, Efremova N ( 2020 ) . Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks .
Foley CJ, Vaze S, Seddiq MEA, Unagaev A, Efremova N ( 2020 ) . SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework .
Efremova N, West D, Zausaev D ( 2019 ) . AI-based evaluation of the SDGs: The case of crop detection with earth observation data .
Efremova N, Zausaev D, Antipov G ( 2019 ) . Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks .
Efremova N, Sokolov D ( 2019 ) . Face and Emotion Recognition with Neural Networks on Mobile Devices: Practical Implementation on Different Platforms . Conference: 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) vol. 00 , 1 - 5 .
Knvazev B, Shvetsov R, Kuharenko A ( 2018 ) . Leveraging Large Face Recognition Data for Emotion Classification . Conference: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)692 - 696 .
Efremova N, Tarasenko S ( 2016 ) . Biologically Plausible Saliency Detection Model . Advances in Intelligent Systems and Computing . vol. 449 , 53 - 59 .
Kiselev A, Scherlund M, Kristoffersson A ( 2015 ) . Auditory Immersion with Stereo Sound in a Mobile Robotic Telepresence System . Conference: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts55 - 56 .
Efremova NA, Inui T ( 2015 ) . An inferior temporal cortex model for object recognition and classification . Scientific and Technical Information Processing vol. 41 , ( 6 ) 362 - 369 .
Tarasenko S, Efremova N ( 2013 ) . Neural Architecture for Complex Scene Recognition Based on Rank-order Features of IT Neurons . Conference: The 2013 International Joint Conference on Neural Networks (IJCNN)1 - 8 .
Efremova N, Asakura N ( 2011 ) . Inferotemporal Network Model for 3D Object Recognition . Conference: The 2011 IEEE/ICME International Conference on Complex Medical Engineering vol. 1 , 555 - 560 .
Efremova N, Foley C, Unagaev A, Karimi R, Averkin A, Gutierrez-Romero R . Monitoring Large-Scale Regenerative Grazing Using Artificial Intelligence .