Fiona Browne

Orcid: 0000-0003-0443-4730

According to our database1, Fiona Browne authored at least 42 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset.
Int. J. Data Sci. Anal., January, 2023

2021
Prediction of chemical compounds properties using a deep learning model.
Neural Comput. Appl., 2021

An Outranking Approach for Gene Prioritization Using Multinetworks.
Int. J. Comput. Intell. Syst., 2021

Proceed with Care: Reimagining Home IoT Through a Care Perspective.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Data mining and machine learning approaches for prediction modelling of <i>schistosomiasis</i> disease vectors.
Int. J. Mach. Learn. Cybern., 2020

Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Democratisation of Usable Machine Learning in Computer Vision.
CoRR, 2019

Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.
Briefings Bioinform., 2019

A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

The Application of Artificial Intelligence in Financial Compliance Management.
Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
Investigating the impact human protein-protein interaction networks have on disease-gene analysis.
Int. J. Mach. Learn. Cybern., 2018

Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain.
Data Knowl. Eng., 2018

Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches.
Proceedings of the Data Management Technologies and Applications, 2018

Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling.
Proceedings of the 7th International Conference on Data Science, 2018

An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Phylogeny-Aware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Toxicity Prediction Using Pre-trained Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification.
CoRR, 2017

An Integrative Approach for the Functional Analysis of Metagenomic Studies.
Proceedings of the Intelligent Computing Theories and Application, 2017

Microbial abundance analysis and phylogenetic adoption in functional metagenomics.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

The role of high performance, grid and cloud computing in high-throughput sequencing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A network analysis of methane and feed conversion genes in the rumen microbial community.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Biomarker discovery, high performance and cloud computing: A comprehensive review.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Minimum dominating sets in cell cycle specific protein interaction networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Integrating textual analysis and evidential reasoning for decision making in Engineering design.
Knowl. Based Syst., 2013

2012
Application of Evidence Theory and Discounting Techniques to Aerospace Design.
Proceedings of the Advances in Computational Intelligence, 2012

Information fusion and discounting techniques for decision support in Aerospace.
Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

Applying Kernel Methods to Argumentation Mining.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
An Exploration into the Use of Contextual Document Clustering for Cluster Sentiment Analysis.
Proceedings of the Recent Advances in Natural Language Processing, 2011

2010
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks.
Pattern Recognit. Lett., 2010

A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
Comput. Biol. Medicine, 2010

From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions.
Adv. Artif. Intell., 2010

2009
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction.
Source Code Biol. Medicine, 2009

2008
Computational prediction of protein interaction networks through supervised classification techniques.
Int. J. Funct. Informatics Pers. Medicine, 2008

Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

2007
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions.
J. Integr. Bioinform., 2006


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