Fiona Browne

43 papers A* 1C 5Misc 3Journal 17Unranked 17
YearRankTypeTitle / Venue / Authors
2024 — conf
Simplified Extended Belief-Rule-Based System for Classification Problems.
UCAmI
Orla McHugh, Jun Liu, Jesús Jaime Solano Noriega, Philip Jordan, Fiona Browne
2023 J jnl
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset.
Int. J. Data Sci. Anal.
Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, Fiona Browne, David J. McEneaney
2021 J jnl
An Outranking Approach for Gene Prioritization Using Multinetworks.
Int. J. Comput. Intell. Syst.
Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
2021 J jnl
Prediction of chemical compounds properties using a deep learning model.
Neural Comput. Appl.
Mykola Galushka, Chris Swain, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Darren Gray
2021 A* conf
Proceed with Care: Reimagining Home IoT Through a Care Perspective.
CHI
Cayla Key, Fiona Browne, Nick Taylor, Jon Rogers
2020 J jnl
Data mining and machine learning approaches for prediction modelling of
Int. J. Mach. Learn. Cybern.
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
2020 — conf
Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study.
IPMU (1)
Orla McHugh, Jun Liu, Fiona Browne, Philip Jordan, Deborah McConnell
2019 J jnl
A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
2019 — conf
A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome.
BIBM
Jyotsna Talreja Wassan, Huiru Zheng, Haiying Wang, Fiona Browne, Paul Walsh, Timmy Manning, Richard J. Dewhurst, Rainer Roehe
2019 J jnl
Democratisation of Usable Machine Learning in Computer Vision.
CoRR
Raymond R. Bond, Ansgar Koene, Alan J. Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong
2019 J jnl
Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.
Briefings Bioinform.
Gaye Lightbody, Valeriia Haberland, Fiona Browne, Laura Taggart, Huiru Zheng, Eileen Parkes, Jaine K. Blayney
2019 — conf
The Application of Artificial Intelligence in Financial Compliance Management.
AIAM (ACM)
Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, Huiru Zheng
2018 — conf
An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes.
BIBM
Jyotsna Talreja Wassan, Huiru Zheng, Fiona Browne, Jenna Bowen, Paul Walsh, Rainer Roehe, Richard J. Dewhurst, Cintia C. Palu, Brian Kelly, Haiying Wang
2018 — conf
Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches.
DATA (Revised Selected Papers)
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
2018 J jnl
Investigating the impact human protein-protein interaction networks have on disease-gene analysis.
Int. J. Mach. Learn. Cybern.
Fiona Browne, Haiying Wang, Huiru Zheng
2018 J jnl
Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain.
Data Knowl. Eng.
Iván Palomares, Fiona Browne, Peadar Davis
2018 — conf
PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification.
BIBM
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
2018 — conf
Phylogeny-Aware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes.
BIBM
Timmy Manning, Jyotsna Talreja Wassan, Cintia C. Palu, Haiying Wang, Fiona Browne, Huiru Zheng, Brian Kelly, Paul Walsh
2018 C conf
Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling.
DATA
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
2018 — conf
Toxicity Prediction Using Pre-trained Autoencoder.
BIBM
Mykola Galushka, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Gaye Lightbody
2017 — conf
An Integrative Approach for the Functional Analysis of Metagenomic Studies.
ICIC (2)
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Paul Walsh, Brian Kelly, Cintia C. Palu, Nina Konstantinidou, Rainer Roehe, Richard J. Dewhurst, Huiru Zheng
2017 J jnl
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification.
CoRR
Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne
2017 C conf
Microbial abundance analysis and phylogenetic adoption in functional metagenomics.
CIBCB
Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng
2016 — conf
A network analysis of methane and feed conversion genes in the rumen microbial community.
BIBM
Fiona Browne, Haiying Wang, Huiru Zheng, Rainer Roehe, Richard J. Dewhurst, Paul Walsh
2016 — conf
Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches.
BIBM
Haiying Wang, Huiru Zheng, Fiona Browne, Rainer Roehe, Richard J. Dewhurst, Felix Engel, Matthias L. Hemmje, Paul Walsh
2016 — conf
The role of high performance, grid and cloud computing in high-throughput sequencing.
BIBM
Gaye Lightbody, Fiona Browne, Huiru Zheng, Valeriia Haberland, Jaine K. Blayney
2015 Misc conf
A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators.
ISKE
Ivan Palomares, Fiona Browne, Hui Wang, Peadar Davis
2015 — conf
Biomarker discovery, high performance and cloud computing: A comprehensive review.
BIBM
Jaine K. Blayney, Valeriia Haberland, Gaye Lightbody, Fiona Browne
2014 — conf
An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes.
BIBM
Fiona Browne, Haiying Wang, Huiru Zheng
2014 — conf
Minimum dominating sets in cell cycle specific protein interaction networks.
BIBM
Haiying Wang, Huiru Zheng, Fiona Browne, Chaoyang Wang
2013 J jnl
Integrating textual analysis and evidential reasoning for decision making in Engineering design.
Knowl. Based Syst.
Fiona Browne, Niall Rooney, Weiru Liu, David A. Bell, Hui Wang, Philip S. Taylor, Yan Jin
2012 — conf
Application of Evidence Theory and Discounting Techniques to Aerospace Design.
IPMU (3)
Fiona Browne, David A. Bell, Weiru Liu, Yan Jin, Colm Higgins, Niall Rooney, Hui Wang, Jann Müller
2012 Misc conf
Applying Kernel Methods to Argumentation Mining.
FLAIRS
Niall Rooney, Hui Wang, Fiona Browne
2012 C conf
Information fusion and discounting techniques for decision support in Aerospace.
INDIN
Fiona Browne, Yan Jin, David A. Bell, Weiru Liu, Colm Higgins, Niall Rooney, Hui Wang
2011 Misc conf
An Exploration into the Use of Contextual Document Clustering for Cluster Sentiment Analysis.
RANLP
Niall Rooney, Hui Wang, Fiona Browne, Fergal Monaghan, Jann Müller, Alan Sergeant, Zhiwei Lin, Philip S. Taylor, Vladimir Dobrynin
2010 J jnl
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
Comput. Biol. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2010 J jnl
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions.
Adv. Artif. Intell.
Fiona Browne, Huiru Zheng, Haiying Wang, Francisco Azuaje
2010 J jnl
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks.
Pattern Recognit. Lett.
Haiying Wang, Huiru Zheng, Fiona Browne, David H. Glass, Francisco Azuaje
2009 J jnl
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction.
Source Code Biol. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2008 J jnl
Computational prediction of protein interaction networks through supervised classification techniques.
Int. J. Funct. Informatics Pers. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2008 C conf
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae.
CIBCB
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2007 C conf
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks.
BIBE
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2006 J jnl
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions.
J. Integr. Bioinform.
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje