A hierarchical neural network model of object recognition and mental rotation. - Natalia Efremova (2012)

Neural architecture for complex scene recognition based on rank-order features of IT neurons. - Sergey Tarasenko; Natalia Efremova (IJCNN, 2013)

Unsupervised Neural Architecture for Saliency Detection. - Natalia Efremova; Sergey Tarasenko (CoRR, 2014)

Auditory Immersion with Stereo Sound in a Mobile Robotic Telepresence System. - Andrey Kiselev; Mårten Scherlund; Annica Kristoffersson; Natalia Efremova; Amy Loutfi (HRI (Extended Abstracts), 2015)

Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. - Boris Knyazev 001; Roman Shvetsov; Natalia Efremova; Artem Kuharenko (CoRR, 2017)

Leveraging Large Face Recognition Data for Emotion Classification. - Boris Knyazev 001; Roman Shvetsov; Natalia Efremova; Artem Kuharenko (FG, 2018)

Face and Emotion Recognition with Neural Networks on Mobile Devices: Practical Implementation on Different Platforms. - Natalia Efremova; Mikhail Patkin; Denis Sokolov (FG, 2019)

AI-based evaluation of the SDGs: The case of crop detection with earth observation data. - Natalia Efremova; Dennis West; Dmitry Zausaev (CoRR, 2019)

Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks. - Natalia Efremova; Dmitry Zausaev; Gleb Antipov (CoRR, 2019)

Understanding consumer attention on mobile devices. - Natalia Efremova; Navid Hajimirza; David Bassett; Felipe Thomaz (FG, 2020)

SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework. - Conrad James Foley; Sagar Vaze; Mohamed El Amine Seddiq; Alexey Unagaev; Natalia Efremova (CoRR, 2020)

Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks. - Sagar Vaze; Conrad James Foley; Mohamed El Amine Seddiq; Alexey Unagaev; Natalia Efremova (CoRR, 2020)

Biophysical Parameter Estimation Using Earth Observation Data in a Multi-Sensor Data Fusion Approach: CycleGAN. - Natalia Efremova; Esra Erten (IGARSS, 2021)

Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing. - Natalia Efremova; Mohamed El Amine Seddik; Esra Erten (IEEE Trans. Geosci. Remote. Sens., 2022)

AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery. - Irina Korotkova; Natalia Efremova (CoRR, 2023)

Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network. - Weiying Zhao; Natalia Efremova (CoRR, 2023)

Soil Nitrogen Forecasting From Environmental Variables Provided By Multisensor Remote Sensing Images. - Weiying Zhao; Ganzorig Chuluunbat; Aleksei Unagaev; Natalia Efremova (IGARSS, 2024)

Precision Agriculture: Crop Mapping using Machine Learning and Sentinel-2 Satellite Imagery. - Kui Zhao; Siyang Wu; Chang Liu; Yue Wu; Natalia Efremova (CoRR, 2024)

Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model. - Weiying Zhao; Natalia Efremova (CoRR, 2024)

Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring. - Weiying Zhao; Natalia Efremova (CoRR, 2024)

Tukey g-and-h neural network regression for non-Gaussian data. - Arthur P. Guillaumin; Natalia Efremova (CoRR, 2024)

Towards deployment-centric multimodal AI beyond vision and language. - Xianyuan Liu; Jiayang Zhang; Shuo Zhou; Thijs L. van der Plas; Avish Vijayaraghavan; Anastasiia Grishina; Mengdie Zhuang; Daniel Schofield; Christopher Tomlinson; Yuhan Wang; Ruizhe Li; Louisa van Zeeland; et al. (CoRR, 2025)

Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization. - Weiying Zhao; Aleksei Unagaev; Natalia Efremova (CoRR, 2025)