Fiona Browne
Orcid: 0000-0003-0443-4730
According to our database1,
Fiona Browne
authored at least 42 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
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
Neural Comput. Appl., 2021
Int. J. Comput. Intell. Syst., 2021
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
Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.
Briefings Bioinform., 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
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
Proceedings of the Data Management Technologies and Applications, 2018
Proceedings of the 7th International Conference on Data Science, 2018
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification.
CoRR, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
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
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
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
Proceedings of the Advances in Computational Intelligence, 2012
Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012
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