Fiona Browne

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 25

Top Topics

Collaborative Filtering Recommender Systems

Infectious Disease

Machine Learning

Protein Interaction

Top Venues

Int. J. Mach. Learn. Cybern.

Publications

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, Fiona Browne, David McEneaneny
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset. Int. J. Data Sci. Anal. 15 (1) (2023)
Mykola Galushka, Chris Swain, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Darren Gray
Prediction of chemical compounds properties using a deep learning model. Neural Comput. Appl. 33 (20) (2021)
Cayla Key, Fiona Browne, Nick Taylor, Jon Rogers
Proceed with Care: Reimagining Home IoT Through a Care Perspective. CHI (2021)
Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
An Outranking Approach for Gene Prioritization Using Multinetworks. Int. J. Comput. Intell. Syst. 14 (1) (2021)
Orla McHugh, Jun Liu, Fiona Browne, Philip Jordan, Deborah McConnell
Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study. IPMU (1) (2020)
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
disease vectors. Int. J. Mach. Learn. Cybern. 11 (6) (2020)
Raymond R. Bond, Ansgar Koene, Alan J. Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong
Democratisation of Usable Machine Learning in Computer Vision. CoRR (2019)
Jyotsna Talreja Wassan, Huiru Zheng, Haiying Wang, Fiona Browne, Paul Walsh, Timmy Manning, Richard J. Dewhurst, Rainer Roehe
A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome. BIBM (2019)
Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, Huiru Zheng
The Application of Artificial Intelligence in Financial Compliance Management. AIAM (2019)
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Gaye Lightbody, Valeriia Haberland, Fiona Browne, Laura Taggart, Huiru Zheng, Eileen Parkes, Jaine K. Blayney
Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application. Briefings Bioinform. 20 (5) (2019)
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling. DATA (2018)
Fiona Browne, Haiying Wang, Huiru Zheng
Investigating the impact human protein-protein interaction networks have on disease-gene analysis. Int. J. Mach. Learn. Cybern. 9 (3) (2018)
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification. BIBM (2018)
Timmy Manning, Jyotsna Talreja Wassan, Cintia C. Palu, Haiying Wang, Fiona Browne, Huiru Zheng, Brian Kelly, Paul Walsh
Phylogeny-Aware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes. BIBM (2018)
Iván Palomares, Fiona Browne, Peadar Davis
Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain. Data Knowl. Eng. 113 (2018)
Mykola Galushka, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Gaye Lightbody
Toxicity Prediction Using Pre-trained Autoencoder. BIBM (2018)
Jyotsna Talreja Wassan, Huiru Zheng, Fiona Browne, Jenna Bowen, Paul Walsh, Rainer Roehe, Richard J. Dewhurst, Cintia C. Palu, Brian Kelly, Haiying Wang
An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes. BIBM (2018)
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches. DATA (Revised Selected Papers) (2018)
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Paul Walsh, Brian Kelly, Cintia C. Palu, Nina Konstantinidou, Rainer Roehe, Richard J. Dewhurst, Huiru Zheng
An Integrative Approach for the Functional Analysis of Metagenomic Studies. ICIC (2) (2017)
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification. CoRR (2017)
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
Microbial abundance analysis and phylogenetic adoption in functional metagenomics. CIBCB (2017)
Fiona Browne, Haiying Wang, Huiru Zheng, Rainer Roehe, Richard J. Dewhurst, Paul Walsh
A network analysis of methane and feed conversion genes in the rumen microbial community. BIBM (2016)
Gaye Lightbody, Fiona Browne, Huiru Zheng, Valeriia Haberland, Jaine K. Blayney
The role of high performance, grid and cloud computing in high-throughput sequencing. BIBM (2016)
Haiying Wang, Huiru Zheng, Fiona Browne, Rainer Roehe, Richard J. Dewhurst, Felix Engel, Matthias L. Hemmje, Paul Walsh
Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches. BIBM (2016)
Ivan Palomares, Fiona Browne, Hui Wang, Peadar Davis
A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators. ISKE (2015)
Jaine K. Blayney, Valeriia Haberland, Gaye Lightbody, Fiona Browne
Biomarker discovery, high performance and cloud computing: A comprehensive review. BIBM (2015)
Haiying Wang, Huiru Zheng, Fiona Browne, Chaoyang Wang
Minimum dominating sets in cell cycle specific protein interaction networks. BIBM (2014)
Fiona Browne, Haiying Wang, Huiru Zheng
An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes. BIBM (2014)
Fiona Browne, Niall Rooney, Weiru Liu, David A. Bell, Hui Wang, Philip S. Taylor, Yan Jin
Integrating textual analysis and evidential reasoning for decision making in Engineering design. Knowl. Based Syst. 52 (2013)
Fiona Browne, David A. Bell, Weiru Liu, Yan Jin, Colm Higgins, Niall Rooney, Hui Wang, Jann Müller
Application of Evidence Theory and Discounting Techniques to Aerospace Design. IPMU (3) (2012)
Niall Rooney, Hui Wang, Fiona Browne
Applying Kernel Methods to Argumentation Mining. FLAIRS Conference (2012)
Fiona Browne, Yan Jin, David A. Bell, Weiru Liu, Colm Higgins, Niall Rooney, Hui Wang
Information fusion and discounting techniques for decision support in Aerospace. INDIN (2012)
Niall Rooney, Hui Wang, Fiona Browne, Fergal Monaghan, Jann Müller, Alan Sergeant, Zhiwei Lin, Philip S. Taylor, Vladimir Dobrynin
An Exploration into the Use of Contextual Document Clustering for Cluster Sentiment Analysis. RANLP (2011)
Haiying Wang, Huiru Zheng, Fiona Browne, David H. Glass, Francisco Azuaje
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks. Pattern Recognit. Lett. 31 (14) (2010)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. Comput. Biol. Medicine 40 (3) (2010)
Fiona Browne, Huiru Zheng, Haiying Wang, Francisco Azuaje
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions. Adv. Artif. Intell. 2010 (2010)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction. Source Code Biol. Medicine 4 (2009)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
Computational prediction of protein interaction networks through supervised classification techniques. Int. J. Funct. Informatics Pers. Medicine 1 (2) (2008)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. CIBCB (2008)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks. BIBE (2007)
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions. J. Integr. Bioinform. 3 (2) (2006)