An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (J. Integr. Bioinform., 2006)

Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (BIBE, 2007)

Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (CIBCB, 2008)

Computational prediction of protein interaction networks through supervised classification techniques. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (Int. J. Funct. Informatics Pers. Medicine, 2008)

GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (Source Code Biol. Medicine, 2009)

From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions. - Fiona Browne; Huiru Zheng; Haiying Wang 001; Francisco Azuaje (Adv. Artif. Intell., 2010)

A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Francisco Azuaje (Comput. Biol. Medicine, 2010)

Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks. - Haiying Wang 001; Huiru Zheng; Fiona Browne; David H. Glass; Francisco Azuaje (Pattern Recognit. Lett., 2010)

An Exploration into the Use of Contextual Document Clustering for Cluster Sentiment Analysis. - Niall Rooney; Hui Wang 001; Fiona Browne; Fergal Monaghan; Jann Müller; Alan Sergeant; Zhiwei Lin 002; Philip S. Taylor; Vladimir Dobrynin (RANLP, 2011)

Applying Kernel Methods to Argumentation Mining. - Niall Rooney; Hui Wang 001; Fiona Browne (FLAIRS, 2012)

Information fusion and discounting techniques for decision support in Aerospace. - Fiona Browne; Yan Jin 009; David A. Bell; Weiru Liu; Colm Higgins; Niall Rooney; Hui Wang 001 (INDIN, 2012)

Application of Evidence Theory and Discounting Techniques to Aerospace Design. - Fiona Browne; David A. Bell; Weiru Liu; Yan Jin 009; Colm Higgins; Niall Rooney; Hui Wang 001; Jann Müller (IPMU (3), 2012)

Integrating textual analysis and evidential reasoning for decision making in Engineering design. - Fiona Browne; Niall Rooney; Weiru Liu; David A. Bell; Hui Wang 001; Philip S. Taylor; Yan Jin 009 (Knowl. Based Syst., 2013)

An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes. - Fiona Browne; Haiying Wang 001; Huiru Zheng (BIBM, 2014)

Minimum dominating sets in cell cycle specific protein interaction networks. - Haiying Wang 001; Huiru Zheng; Fiona Browne; Chaoyang Wang (BIBM, 2014)

Biomarker discovery, high performance and cloud computing: A comprehensive review. - Jaine K. Blayney; Valeriia Haberland; Gaye Lightbody; Fiona Browne (BIBM, 2015)

A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators. - Ivan Palomares; Fiona Browne; Hui Wang 001; Peadar Davis (ISKE, 2015)

A network analysis of methane and feed conversion genes in the rumen microbial community. - Fiona Browne; Haiying Wang 001; Huiru Zheng; Rainer Roehe; Richard J. Dewhurst; Paul Walsh (BIBM, 2016)

The role of high performance, grid and cloud computing in high-throughput sequencing. - Gaye Lightbody; Fiona Browne; Huiru Zheng; Valeriia Haberland; Jaine K. Blayney (BIBM, 2016)

Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches. - Haiying Wang 001; Huiru Zheng; Fiona Browne; Rainer Roehe; Richard J. Dewhurst; Felix Engel 002; Matthias L. Hemmje; Paul Walsh (BIBM, 2016)

Microbial abundance analysis and phylogenetic adoption in functional metagenomics. - Jyotsna Talreja Wassan; Haiying Wang 001; Fiona Browne; Huiru Zheng (CIBCB, 2017)

An Integrative Approach for the Functional Analysis of Metagenomic Studies. - Jyotsna Talreja Wassan; Haiying Wang 001; Fiona Browne; Paul Walsh; Brian Kelly; Cintia C. Palu; Nina Konstantinidou; Rainer Roehe; Richard J. Dewhurst; Huiru Zheng (ICIC (2), 2017)

Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification. - Terence Fusco; Yaxin Bi; Haiying Wang 001; Fiona Browne (CoRR, 2017)

Toxicity Prediction Using Pre-trained Autoencoder. - Mykola Galushka; Fiona Browne; Maurice D. Mulvenna; Raymond R. Bond; Gaye Lightbody (BIBM, 2018)

Phylogeny-Aware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes. - Timmy Manning; Jyotsna Talreja Wassan; Cintia C. Palu; Haiying Wang 001; Fiona Browne; Huiru Zheng; Brian Kelly; Paul Walsh (BIBM, 2018)

PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification. - Jyotsna Talreja Wassan; Haiying Wang 001; Fiona Browne; Huiru Zheng (BIBM, 2018)

An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes. - Jyotsna Talreja Wassan; Huiru Zheng; Fiona Browne; Jenna Bowen; Paul Walsh; Rainer Roehe; Richard J. Dewhurst; Cintia C. Palu; Brian Kelly; Haiying Wang 001 (BIBM, 2018)

Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling. - Terence Fusco; Yaxin Bi; Haiying Wang 001; Fiona Browne (DATA, 2018)

Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches. - Terence Fusco; Yaxin Bi; Haiying Wang 001; Fiona Browne (DATA (Revised Selected Papers), 2018)

Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain. - Iván Palomares; Fiona Browne; Peadar Davis (Data Knowl. Eng., 2018)

Investigating the impact human protein-protein interaction networks have on disease-gene analysis. - Fiona Browne; Haiying Wang 001; Huiru Zheng (Int. J. Mach. Learn. Cybern., 2018)

The Application of Artificial Intelligence in Financial Compliance Management. - Raghad Al-Shabandar; Gaye Lightbody; Fiona Browne; Jun Liu 001; Haiying Wang 001; Huiru Zheng (AIAM (ACM), 2019)

A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome. - Jyotsna Talreja Wassan; Huiru Zheng; Haiying Wang 001; Fiona Browne; Paul Walsh; Timmy Manning; Richard J. Dewhurst; Rainer Roehe (BIBM, 2019)

Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application. - Gaye Lightbody; Valeriia Haberland; Fiona Browne; Laura Taggart; Huiru Zheng; Eileen Parkes; Jaine K. Blayney (Briefings Bioinform., 2019)

Democratisation of Usable Machine Learning in Computer Vision. - Raymond R. Bond; Ansgar Koene; Alan J. Dix; Jennifer Boger; Maurice D. Mulvenna; Mykola Galushka; Bethany Waterhouse Bradley; Fiona Browne; Hui Wang 001; Alexander Wong (CoRR, 2019)

A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods. - Jyotsna Talreja Wassan; Haiying Wang 001; Fiona Browne; Huiru Zheng (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study. - Orla McHugh; Jun Liu 001; Fiona Browne; Philip Jordan; Deborah McConnell (IPMU (1), 2020)

Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors. - Terence Fusco; Yaxin Bi; Haiying Wang 001; Fiona Browne (Int. J. Mach. Learn. Cybern., 2020)

Proceed with Care: Reimagining Home IoT Through a Care Perspective. - Cayla Key; Fiona Browne; Nick Taylor 002; Jon Rogers (CHI, 2021)

An Outranking Approach for Gene Prioritization Using Multinetworks. - Jesús Jaime Solano Noriega; Juan Carlos Leyva López; Fiona Browne; Jun Liu 001 (Int. J. Comput. Intell. Syst., 2021)

Prediction of chemical compounds properties using a deep learning model. - Mykola Galushka; Chris Swain; Fiona Browne; Maurice D. Mulvenna; Raymond R. Bond; Darren Gray (Neural Comput. Appl., 2021)

Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset. - Alicja Jasinska-Piadlo; Raymond R. Bond; Pardis Biglarbeigi; Rob Brisk; Patricia Campbell; Fiona Browne; David J. McEneaney (Int. J. Data Sci. Anal., 2023)

Simplified Extended Belief-Rule-Based System for Classification Problems. - Orla McHugh; Jun Liu 001; Jesús Jaime Solano Noriega; Philip Jordan; Fiona Browne (UCAmI, 2024)