Larisa Soldatova

About Larisa Soldatova

Larisa Soldatova, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Goldsmiths, University of London, specializes in the field of Artificial Intelligence, Semantic Web.

His recent articles reflect a diverse array of research interests and contributions to the field:

A cognitive theoretical approach of rhetorical news analysis

Imbalanced regression using regressor-classifier ensembles

Genesis-DB: a database for autonomous laboratory systems

Guidelines for the reuse of ontology content

The future of fundamental science led by generative closed-loop artificial intelligence

Besoins ontologiques pour la transformation des aliments

Comprehensive contextual visualization of a news archive for aiding story planning

Testing the reproducibility and robustness of the cancer biology literature by robot

Larisa Soldatova Information

University

Position

Reader in Data Science

Citations(all)

4142

Citations(since 2020)

1885

Cited By

2710

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

45

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Larisa Soldatova Skills & Research Interests

Artificial Intelligence

Semantic Web

Top articles of Larisa Soldatova

A cognitive theoretical approach of rhetorical news analysis

2023/4/2

Larisa Soldatova
Larisa Soldatova

H-Index: 18

Imbalanced regression using regressor-classifier ensembles

Machine Learning

2023/4

Genesis-DB: a database for autonomous laboratory systems

Bioinformatics Advances

2023/1/1

Guidelines for the reuse of ontology content

Applied Ontology

2023/1/1

The future of fundamental science led by generative closed-loop artificial intelligence

arXiv preprint arXiv:2307.07522

2023/7/9

Besoins ontologiques pour la transformation des aliments

2023/7/3

Comprehensive contextual visualization of a news archive for aiding story planning

2022/4/10

Larisa Soldatova
Larisa Soldatova

H-Index: 18

Testing the reproducibility and robustness of the cancer biology literature by robot

Journal of the Royal Society Interface

2022/4/6

Andrey Rzhetsky
Andrey Rzhetsky

H-Index: 30

Larisa Soldatova
Larisa Soldatova

H-Index: 18

Comprehensive terms board visualization for news analysis and editorial story planning

2022/4/2

Larisa Soldatova
Larisa Soldatova

H-Index: 18

Food process ontology requirements

Semantic Web

2022

Transformational machine learning: Learning how to learn from many related scientific problems

Proceedings of the National Academy of Sciences

2021/12/7

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

NPJ systems biology and applications

2021/10/20

Guest editors’ introduction to the special issue on Discovery Science

International journal on digital libraries

2017/3

Generating explainable and effective data descriptors using relational learning: application to cancer biology

2020/10/15

Federated ensemble regression using classification

2020

ML-Schema: An interchangeable format for description of machine learning experiments

Preprint

2019

See List of Professors in Larisa Soldatova University(Goldsmiths, University of London)