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ORCIDFiona Browne
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2020 – today
- 2023
[j15]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): 49-66 (2023)- 2021
- [j14]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): 1728-1741 (2021) - [j13]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): 13345-13366 (2021) - [c25]Cayla Key, Fiona Browne, Nick Taylor, Jon Rogers:
Proceed with Care: Reimagining Home IoT Through a Care Perspective. CHI 2021: 166:1-166:15 - 2020
- [j12]Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne:
Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors. Int. J. Mach. Learn. Cybern. 11(6): 1159-1178 (2020) - [c24]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: 301-312
2010 – 2019
- 2019
- [j11]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): 1795-1811 (2019) - [j10]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): 751-763 (2019) - [c23]Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, Huiru Zheng:
The Application of Artificial Intelligence in Financial Compliance Management. AIAM (ACM) 2019: 8:1-8:6 - [c22]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: 1900-1906 - [i2]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 abs/1902.06804 (2019) - 2018
- [j9]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: 64-80 (2018) - [j8]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): 455-464 (2018) - [c21]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: 44-49 - [c20]Mykola Galushka, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Gaye Lightbody:
Toxicity Prediction Using Pre-trained Autoencoder. BIBM 2018: 299-304 - [c19]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: 1826-1831 - [c18]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: 1854-1860 - [c17]Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne:
Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling. DATA 2018: 95-106 - [c16]Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne:
Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches. DATA (Revised Selected Papers) 2018: 141-159 - 2017
- [c15]Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng:
Microbial abundance analysis and phylogenetic adoption in functional metagenomics. CIBCB 2017: 1-8 - [c14]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: 421-427 - [i1]Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne:
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification. CoRR abs/1704.01815 (2017) - 2016
- [c13]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: 198-203 - [c12]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: 890-895 - [c11]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: 1477-1484 - 2015
- [c10]Jaine K. Blayney, Valeriia Haberland, Gaye Lightbody, Fiona Browne:
Biomarker discovery, high performance and cloud computing: A comprehensive review. BIBM 2015: 1514-1519 - [c9]Ivan Palomares, Fiona Browne, Hui Wang, Peadar Davis:
A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators. ISKE 2015: 382-388 - 2014
- [c8]Haiying Wang, Huiru Zheng, Fiona Browne, Chaoyang Wang:
Minimum dominating sets in cell cycle specific protein interaction networks. BIBM 2014: 25-30 - [c7]Fiona Browne, Haiying Wang, Huiru Zheng:
An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes. BIBM 2014: 385-390 - 2013
- [j7]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: 165-175 (2013) - 2012
- [c6]Niall Rooney, Hui Wang, Fiona Browne:
Applying Kernel Methods to Argumentation Mining. FLAIRS 2012 - [c5]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: 857-862 - [c4]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: 543-553 - 2011
- [c3]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: 140-145 - 2010
- [j6]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: 924529:1-924529:15 (2010) - [j5]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): 306-317 (2010) - [j4]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): 2073-2082 (2010)
2000 – 2009
- 2009
- [j3]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: 2 (2009) - 2008
- [j2]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): 205-221 (2008) - [c2]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: 128-135 - 2007
- [c1]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: 1365-1369 - 2006
- [j1]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)
Coauthor Index
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