3 citations · 7 across the 4 of their papers we have counts for
5 papers
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data
John Armitage, Leszek J. Spalek, Malgorzata Nguyen +11
In the majority of molecular optimization tasks, predictive machine learning (ML) models are limited due to the unavailability and cost of generating big experimental datasets on t…
Numerical solutions of ordinary fractional differential equations with singularities
Yuri Dimitrov, Ivan Dimov, Venelin Todorov
The solutions of fractional differential equations (FDEs) have a natural singularity at the initial point. The accuracy of their numerical solutions is lower than the accuracy of t…
Multidimensional Sensitivity Analysis of Large-scale Mathematical Models
Ivan Dimov, Rayna Georgieva
Sensitivity analysis (SA) is a procedure for studying how sensitive are the output results of large-scale mathematical models to some uncertainties of the input data. The models ar…
A Comparison Study of Two High Accuracy Numerical Methods for a Parabolic System in Air Pollution Modelling
Ivan Dimov, Juri Kandilarov, Venelin Todorov +1
We present two approaches for enhancing the accuracy of second order finite difference approximations of two-dimensional semilinear parabolic systems. These are the fourth order co…
On randomization of neural networks as a form of post-learning strategy
K. G. Kapanova, I. Dimov, J. M. Sellier
Today artificial neural networks are applied in various fields - engineering, data analysis, robotics. While they represent a successful tool for a variety of relevant applications…