activity
20042024
most citedAutomatic Short Answer Grading and Feedback Using Text Mining Methods

106 citations · 409 across the 35 of their papers we have counts for

collaborators

36 papers

cs.LG2024★ 2 cited

What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices

Neslihan Suzen, Evgeny M. Mirkes, Damian Roland +3

Electronic patient records (EPRs) produce a wealth of data but contain significant missing information. Understanding and handling this missing data is an important part of clinica…

cs.CL2022★ 1 cited

An Informational Space Based Semantic Analysis for Scientific Texts

Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley +1

One major problem in Natural Language Processing is the automatic analysis and representation of human language. Human language is ambiguous and deeper understanding of semantics a…

math.NA2022

Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic function

Simon Hubbert, Janin Jäger, Jeremy Levesley

We consider the problem of approximating -periodic functions by convolution with a scaled Gaussian kernel. We start by establishing convergence rates to functions from p…

cs.CL2021★ 1 cited

Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles

Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1

Can the analysis of the semantics of words used in the text of a scientific paper predict its future impact measured by citations? This study details examples of automated text cla…

cs.CL2020★ 3 cited

Principal Components of the Meaning

Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1

In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space. This space is constructed using principal component analysis (singular…

stat.AP2020★ 23 cited

Personality Traits and Drug Consumption. A Story Told by Data

Elaine Fehrman, Vincent Egan, Alexander N. Gorban +3

This is a preprint version of the first book from the series: "Stories told by data". In this book a story is told about the psychological traits associated with drug consumption.…