Heitor Murilo Gomes

Victoria University of Wellington

New Zealand

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Articles (10)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (5)

Wenbin Zhang

Assistant Professor

Florida International University

UNITED STATES

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Amanda Williamson

Lecturer

University of Waikato

NEW ZEALAND

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Nathalie Japkowicz

American University

UNITED STATES

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Manuel Castelo Branco

Full Professor

University of Porto

PORTUGAL

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Albert Bifet

Professor

University of Waikato

NEW ZEALAND

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Heitor Murilo Gomes

Research Interests

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Contact this professor

Articles (10)

SeGDroid: An Android malware detection method based on sensitive function call graph learning

A decade of biodiversity conservation: insights into corporate social responsibility in an emerging market context

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

Fast & Furious: On the modelling of malware detection as an evolving data stream[Formula presented]

Combined Effect of Concept Drift and Class Imbalance on Model Performance during Stream Classification

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams

SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding

Should a Social Enterprise Publicly “Toot its Virtuous Horn”? An Artificial Intelligence Approach

Collaborators (5)

Wenbin Zhang

Amanda Williamson

Nathalie Japkowicz

Manuel Castelo Branco

Albert Bifet

Make your next move.

Heitor Murilo Gomes

Research Interests

Explore related searches

Contact this professor

Articles (10)

SeGDroid: An Android malware detection method based on sensitive function call graph learning

A decade of biodiversity conservation: insights into corporate social responsibility in an emerging market context

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

Fast &amp; Furious: On the modelling of malware detection as an evolving data stream[Formula presented]

Combined Effect of Concept Drift and Class Imbalance on Model Performance during Stream Classification

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams

SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding

Should a Social Enterprise Publicly “Toot its Virtuous Horn”? An Artificial Intelligence Approach

Collaborators (5)

Wenbin Zhang

Amanda Williamson

Nathalie Japkowicz

Manuel Castelo Branco

Albert Bifet

Make your next move.

Fast & Furious: On the modelling of malware detection as an evolving data stream[Formula presented]