Susana Nascimento

About Susana Nascimento

Susana Nascimento, With an exceptional h-index of 13 and a recent h-index of 8 (since 2020), a distinguished researcher at Universidade Nova de Lisboa, specializes in the field of Artificial Intelligence, Machine Learning, Data Mining, Soft Computing.

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

Piece‐wise constant cluster modelling of dynamics of upwelling patterns

Core-shell clustering approach for detection and analysis of coastal upwelling

Foresight as a policy tool of Futures in the Making–Editorial introduction to the special issue from the FTA2018 conference

Modeling a most specific generalization in domain taxonomies

Novel cluster modeling for the spatiotemporal analysis of coastal upwelling

Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

Intelligent Data Engineering and Automated Learning – IDEAL 2021 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

A Hybrid approach to the analysis of a collection of research papers

Susana Nascimento Information

University

Position

Assistent Professor of Computer Science Faculdade de Ciências e Tecnologia de

Citations(all)

679

Citations(since 2020)

177

Cited By

558

hIndex(all)

13

hIndex(since 2020)

8

i10Index(all)

16

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Susana Nascimento Skills & Research Interests

Artificial Intelligence

Machine Learning

Data Mining

Soft Computing

Top articles of Susana Nascimento

Piece‐wise constant cluster modelling of dynamics of upwelling patterns

Expert Systems

2023/9/12

Core-shell clustering approach for detection and analysis of coastal upwelling

Computers & Geosciences

2023/8/4

Foresight as a policy tool of Futures in the Making–Editorial introduction to the special issue from the FTA2018 conference

2023/4/1

Susana Nascimento
Susana Nascimento

H-Index: 7

Modeling a most specific generalization in domain taxonomies

2023

Novel cluster modeling for the spatiotemporal analysis of coastal upwelling

2022/8/31

Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

2022/4/12

Intelligent Data Engineering and Automated Learning – IDEAL 2021 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

Lecture Notes in Computer Science

2010

A Hybrid approach to the analysis of a collection of research papers

2020

Sequential self-tuning clustering for automatic delimitation of coastal upwelling on sst images

2020

Susana Nascimento
Susana Nascimento

H-Index: 7

Paulo Relvas
Paulo Relvas

H-Index: 12

Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree

2020

A Hybrid Approach to Interpretable Analysis of Research Paper Collections

2020/6/30

Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science

Information Sciences

2020/2/1

See List of Professors in Susana Nascimento University(Universidade Nova de Lisboa)

Co-Authors

academic-engine