Mykhaylo Zayats

According to our database, Mykhaylo Zayats authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Knowledge Enhanced Representation Learning for Drug Discovery.

Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A recommender for the management of chronic pain in patients undergoing spinal cord stimulation.

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

CoRR, 2023

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery.

Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López

CoRR, 2023

Detectability and global observer design for 2D Navier-Stokes equations with uncertain inputs.

Sergiy Zhuk, Mykhaylo Zayats, Emilia Fridman

Autom., 2023

Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras.

Mykhaylo Zayats, Christopher Hansen, Ronan A. Cahill, Gareth Gallagher, Ra'ed Malallah, Amit Joshi, Sergiy Zhuk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Information Flow in Graph Neural Networks: A Clinical Triage Use Case.

Víctor Valls, Mykhaylo Zayats, Alessandra Pascale

Proceedings of the IEEE International Conference on Digital Health, 2023

A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation.

Tigran T. Tchrakian, Mykhaylo Zayats, Alessandra Pascale, Dat Huynh, Pritish Parida, Carla Agurto Rios, Sergiy Zhuk, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2023

2022

Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks.

Mykhaylo Zayats, Malgorzata J. Zimon, Kyongmin Yeo, Sergiy Zhuk

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Global observer design for Navier-Stokes equations in 2D.

Mykhaylo Zayats, Emilia Fridman, Sergiy Zhuk

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description.

Emanuele Ragnoli, Mykhaylo Zayats, Fearghal O'Donncha, Sergiy Zhuk

J. Comput. Phys., 2019

2015

Localised filtering for transport models.

Emanuele Ragnoli, Sergiy Zhuk, Mykhaylo Zayats, Michael Hartnett

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Domain Decomposition for a linear advection-diffusion equation by means of minimax filtering.

Emanuele Ragnoli, Sergiy Zhuk, Mykhaylo Zayats, Michael Hartnett

Proceedings of the 13th European Control Conference, 2014