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Maxim V. Fedorov
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2020 – today
- 2023
- [j14]Ekaterina A. Sosnina
, Sergey Sosnin
Improvement of multi-task learning by data enrichment: application for drug discovery. J. Comput. Aided Mol. Des. 37(4): 183-200 (2023) - 2022
- [j13]Nikita Klyuchnikov
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. IEEE Access 10: 45736-45747 (2022) - [j12]Nikolay B. Yavich
Conservative Finite Element Modeling of EEG and MEG on Unstructured Grids. IEEE Trans. Medical Imaging 41(3): 647-656 (2022) - 2021
- [j11]Mikhail S. Malovichko
Electroencephalographic Source Reconstruction by the Finite-Element Approximation of the Elliptic Cauchy Problem. IEEE Trans. Biomed. Eng. 68(6): 1811-1819 (2021) - [c5]Galina Burdukovskaya, Grigory V. Ovchinnikov, Maxim V. Fedorov, Dmitrii Shadrin:
Improving of Action Localization in Videos Using the Novel Feature Extraction. ISIE 2021: 1-6 - 2020
- [j10]Vigneshwari Subramanian
Multisolvent Models for Solvation Free Energy Predictions Using 3D-RISM Hydration Thermodynamic Descriptors. J. Chem. Inf. Model. 60(6): 2977-2988 (2020) - [j9]Nurlybek Amangeldiuly
Baseline Model for Predicting Protein-Ligand Unbinding Kinetics through Machine Learning. J. Chem. Inf. Model. 60(12): 5946-5956 (2020) - [j8]Dmitrii G. Shadrin
Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence. IEEE Trans. Instrum. Meas. 69(7): 4103-4113 (2020) - [c4]Alexandra Razorenova
Deep Learning for Non-invasive Cortical Potential Imaging. MLCN/RNO-AI@MICCAI 2020: 45-55 - [i2]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. CoRR abs/2006.07116 (2020)
2010 – 2019
- 2019
- [j7]Sergey Sosnin
Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space. J. Chem. Inf. Model. 59(3): 1062-1072 (2019) - [c3]Alexander Menshchikov
Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures. IECON 2019: 5602-5609 - [i1]Igor Zacharov, Rinat Arslanov, Maxim Gunin, Daniil Stefonishin, Sergey Pavlov, Oleg Panarin, Anton K. Maliutin, Sergey G. Rykovanov, Maxim V. Fedorov:
'Zhores' - Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology. CoRR abs/1902.07490 (2019) - 2018
- [j6]Eva Roos Nerut, Karl Karu
NaRIBaS - A Scripting Framework for Computational Modeling of Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab. Comput. 6(4): 57 (2018) - [c2]Dmitrii G. Shadrin, Victor Kulikov, Maxim V. Fedorov:
Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions. BMVC 2018: 329 - 2011
- [j5]Volodymyr P. Sergiievskyi, Wolfgang Hackbusch, Maxim V. Fedorov:
Multigrid solver for the reference interaction site model of molecular liquids theory. J. Comput. Chem. 32(9): 1982-1992 (2011) - 2010
- [j4]Lei Zhang
Global Energy Matching Method for Atomistic-to-Continuum Modeling of Self-Assembling Biopolymer Aggregates. Multiscale Model. Simul. 8(5): 1958-1980 (2010)
2000 – 2009
- 2008
- [j3]Gennady N. Chuev, Maxim V. Fedorov, Sandro Chiodo, Nino Russo
Hydration of ionic species studied by the reference interaction site model with a repulsive bridge correction. J. Comput. Chem. 29(14): 2406-2415 (2008) - 2007
- [j2]Maxim V. Fedorov, Heinz-Jürgen Flad, Gennady N. Chuev, Lars Grasedyck, Boris N. Khoromskij:
A structured low-rank wavelet solver for the Ornstein-Zernike integral equation. Computing 80(1): 47-73 (2007) - 2006
- [c1]Maxim V. Fedorov, Stephan Schumm, Jonathan M. Goodman
Solvent Effects and Conformational Stability of a Tripeptide. CompLife 2006: 141-149 - 2004
- [j1]Gennady N. Chuev, Maxim V. Fedorov:
Wavelet algorithm for solving integral equations of molecular liquids. A test for the reference interaction site model. J. Comput. Chem. 25(11): 1369-1377 (2004)
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