Joao Fonseca

About Joao Fonseca

Joao Fonseca, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Universidade Nova de Lisboa, specializes in the field of Data Science, Machine Learning.

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

ShaRP: Explaining Rankings with Shapley Values

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Geometric SMOTE for imbalanced datasets with nominal and continuous features

Setting the right expectations: Algorithmic recourse over time

Tabular and latent space synthetic data generation: a literature review

Improving Active Learning Performance through the Use of Data Augmentation

Research trends and applications of data augmentation algorithms

Increasing the effectiveness of active learning: introducing artificial data generation in active learning for land use/land cover classification

Joao Fonseca Information

University

Position

NOVA IMS

Citations(all)

114

Citations(since 2020)

114

Cited By

14

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Joao Fonseca Skills & Research Interests

Data Science

Machine Learning

Top articles of Joao Fonseca

ShaRP: Explaining Rankings with Shapley Values

arXiv preprint arXiv:2401.16744

2024/1/30

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

arXiv preprint arXiv:2401.16088

2024/1/29

Geometric SMOTE for imbalanced datasets with nominal and continuous features

Expert Systems with Applications

2023/12/30

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Setting the right expectations: Algorithmic recourse over time

2023/10/30

Tabular and latent space synthetic data generation: a literature review

2023/7/10

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Improving Active Learning Performance through the Use of Data Augmentation

International Journal of Intelligent Systems

2023/2/20

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Research trends and applications of data augmentation algorithms

2022/7/18

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Increasing the effectiveness of active learning: introducing artificial data generation in active learning for land use/land cover classification

Remote Sensing

2021/7/4

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Improving imbalanced land cover classification with K-Means SMOTE: detecting and oversampling distinctive minority spectral signatures

Information

2021/6/29

Joao Fonseca
Joao Fonseca

H-Index: 1

Fernando Bacao
Fernando Bacao

H-Index: 23

Narratives and needs: Analyzing experiences of cyclone amphan using Twitter discourse

arXiv preprint arXiv:2009.05560

2020/9/11

Ancil Crayton
Ancil Crayton

H-Index: 0

Joao Fonseca
Joao Fonseca

H-Index: 1

See List of Professors in Joao Fonseca University(Universidade Nova de Lisboa)

Co-Authors

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