Maria Fasli

Maria Fasli

University of Essex

H-index: 21

Europe-United Kingdom

About Maria Fasli

Maria Fasli, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Essex, specializes in the field of autonomous adaptive systems, multi-agent systems, machine learning, data exploration, big data and analytics.

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

Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition

Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa

Open Government Data (OGD) Framework for Sustainable Development

Embedding SDGs in Higher Education Curricula: A Case Study

An Exploratory Data Analysis and Visualizations of Underprivileged Communities Diabetes Dataset for Public Good

Multi-label Co-training using a Graph neural network.

Grokking-like effects in counterfactual inference

Improving the co-training algorithm to enhance semi-supervised learning results

Maria Fasli Information

University

Position

___

Citations(all)

1847

Citations(since 2020)

586

Cited By

1503

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

52

i10Index(since 2020)

19

Email

University Profile Page

University of Essex

Google Scholar

View Google Scholar Profile

Maria Fasli Skills & Research Interests

autonomous adaptive systems

multi-agent systems

machine learning

data exploration

big data and analytics

Top articles of Maria Fasli

Title

Journal

Author(s)

Publication Date

Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition

IEEE Robotics and Automation Letters

Bruno Arcanjo

Bruno Ferrarini

Maria Fasli

Michael Milford

Klaus D McDonald-Maier

...

2024/2/19

Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa

IEEE Journal of Biomedical and Health Informatics

Şefki Kolozali

Sara L White

Shane Norris

Maria Fasli

Alastair van Heerden

2024/2/12

Open Government Data (OGD) Framework for Sustainable Development

Maria Fasli

Amani Yousef Owda

Tufail Abbasi

Majdi Owda

Lampros Stergioulas

...

2023/10/26

Embedding SDGs in Higher Education Curricula: A Case Study

Sri Devi Ravana

Myat Noe Win

Nasa Zata Dina

Maria Fasli

2023/10/26

An Exploratory Data Analysis and Visualizations of Underprivileged Communities Diabetes Dataset for Public Good

Majdi Owda

Amani Yousef Owda

Maria Fasli

2023/10/26

Multi-label Co-training using a Graph neural network.

Ragini Kihlman

Maria Fasli

2023/12/15

Grokking-like effects in counterfactual inference

Spyridon Samothrakis

Ana Matran-Fernandez

Umar Abdullahi

Michael Fairbank

Maria Fasli

2022/7/18

Improving the co-training algorithm to enhance semi-supervised learning results

Ragini Kihlman

Maria Fasli

2022/12/17

Artificial Intelligence and Data Science for Social Good: The Case for the SDGs

Maria Fasli

2022/11/17

Classifying human rights violations using deep multi-label co-training

Ragini Kihlman

Maria Fasli

2021/12/15

Altering Gaussian process to Student-t process for maximum distribution construction

International Journal of Systems Science

Weidong Wang

Qin Yu

Maria Fasli

2021/3/12

Ontology based Drug-Drug Interaction Model

1st Conference on Healthcare Computing Systems and Technologies (CHEST 2019)

Tabbasum Naz

Maria Fasli

Muhammad Akhtar

Muhammad Waseem Iqbal

Syed Khuram Shahzad

...

2019/5

Causal Inference with Correlation Alignment

Umar I Abdullahi

Spyros Samothrakis

Maria Fasli

2020/12/10

Ontology-driven advanced drug-drug interaction

Computers & Electrical Engineering

Tabbasum Naz

Muhammad Akhtar

Syed Khuram Shahzad

Maria Fasli

Muhammad Waseem Iqbal

...

2020/9/1

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