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Mykhaylo Zayats
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2020 – today
- 2024
- [c9]Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López:
Knowledge Enhanced Representation Learning for Drug Discovery. AAAI 2024: 10544-10552 - 2023
- [j2]Sergiy Zhuk, Mykhaylo Zayats, Emilia Fridman:
Detectability and global observer design for 2D Navier-Stokes equations with uncertain inputs. Autom. 153: 111043 (2023) - [c8]Víctor Valls, Mykhaylo Zayats, Alessandra Pascale:
Information Flow in Graph Neural Networks: A Clinical Triage Use Case. ICDH 2023: 81-87 - [c7]Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers:
A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation. ICDH 2023: 109-114 - [c6]Mykhaylo Zayats, Christopher Hansen, Ronan A. Cahill
, Gareth Gallagher, Ra'ed Malallah, Amit Joshi, Sergiy Zhuk:
Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras. MICCAI (10) 2023: 513-523 - [i4]Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López:
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. CoRR abs/2306.12802 (2023) - [i3]Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium:
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation. CoRR abs/2309.03918 (2023) - [i2]Víctor Valls, Mykhaylo Zayats, Alessandra Pascale:
Information Flow in Graph Neural Networks: A Clinical Triage Use Case. CoRR abs/2309.06081 (2023) - 2022
- [c5]Mykhaylo Zayats, Malgorzata J. Zimon, Kyongmin Yeo, Sergiy Zhuk:
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks. CDC 2022: 3377-3382 - [i1]Mykhaylo Zayats, Malgorzata J. Zimon, Kyongmin Yeo, Sergiy Zhuk:
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks. CoRR abs/2204.07413 (2022) - 2021
- [c4]Jonathan P. Epperlein, Mykhaylo Zayats, Seshu Tirupathi, Sergiy Zhuk, Tigran T. Tchrakian, Pol Mac Aonghusa, Donal F. O'Shea, Niall P. Hardy, Jeffrey Dalli, Ronan A. Cahill:
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. AMIA 2021 - [c3]Mykhaylo Zayats, Emilia Fridman, Sergiy Zhuk:
Global observer design for Navier-Stokes equations in 2D. CDC 2021: 1862-1867
2010 – 2019
- 2019
- [j1]Emanuele Ragnoli, Mykhaylo Zayats, Fearghal O'Donncha
Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description. J. Comput. Phys. 387: 356-375 (2019) - 2015
- [c2]Emanuele Ragnoli, Sergiy Zhuk, Mykhaylo Zayats, Michael Hartnett:
Localised filtering for transport models. CDC 2015: 449-454 - 2014
- [c1]Emanuele Ragnoli, Sergiy Zhuk, Mykhaylo Zayats, Michael Hartnett:
Domain Decomposition for a linear advection-diffusion equation by means of minimax filtering. ECC 2014: 2733-2738
Coauthor Index
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