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Matthew Hayes
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Journal Articles
- 2022
- [j11]Matthew Hayes, Angela Nguyen, Rahib Islam, Caryn Butler, Ethan Tran, Derrick Mullins, Chindo Hicks:
HolistIC: leveraging Hi-C and whole genome shotgun sequencing for double minute chromosome discovery. Bioinform. 38(5): 1208-1215 (2022) - 2021
- [j10]Matthew Hayes, Derrick Mullins, Angela Nguyen:
Complex Variant Discovery Using Discordant Cluster Normalization. J. Comput. Biol. 28(2): 185-194 (2021) - 2020
- [j9]Ruslan T. Mardugalliamov, Kamal Al Nasr, Matthew Hayes:
A hidden Markov model-based approach to reconstructing double minute chromosome amplicons. Int. J. Comput. Biol. Drug Des. 13(1): 5-20 (2020) - [j8]Matthew Hayes, Derrick Mullins:
The minimum weight clique partition problem and its application to structural variant calling. Int. J. Comput. Biol. Drug Des. 13(5/6): 475-487 (2020) - [j7]Liangwen Yan, Yue Yu, Sijung Hu, David Mulvaney, Panagiotis Blanos, Samah Alharbi, Matthew Hayes:
Illumination Adaptation in a Multi-Wavelength Opto-Electronic Patch Sensor. Sensors 20(17): 4734 (2020) - 2018
- [j6]Matthew Hayes, Bryan Ng, Adrián Pekár, Winston K. G. Seah:
Scalable Architecture for SDN Traffic Classification. IEEE Syst. J. 12(4): 3203-3214 (2018) - 2017
- [j5]Matthew Hayes, Jeremy S. Pearson:
Detecting large deletions at base pair level by combining split read and paired read data. BMC Bioinform. 18(S-12): 107-113 (2017) - 2015
- [j4]Abdullah Alzahrani, Sijung Hu, Vicente Azorin-Peris, Laura A. Barrett, Dale Esliger, Matthew Hayes, Shafique Akbare, Jérôme Achart, Sylvain Kuoch:
A Multi-Channel Opto-Electronic Sensor to Accurately Monitor Heart Rate against Motion Artefact during Exercise. Sensors 15(10): 25681-25702 (2015) - 2013
- [j3]Wenhui Wang, Xiaolin Yin, Yoon Soo Pyon, Matthew Hayes, Jing Li:
Rare variant discovery and calling by sequencing pooled samples with overlaps. Bioinform. 29(1): 29-38 (2013) - [j2]Matthew Hayes, Jing Li:
Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data. BMC Bioinform. 14(S-5): S6 (2013) - 2009
- [j1]Matthew Hayes, Andrew Walenstein, Arun Lakhotia:
Evaluation of malware phylogeny modelling systems using automated variant generation. J. Comput. Virol. 5(4): 335-343 (2009)
Conference and Workshop Papers
- 2018
- [c10]Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah:
Pangloss: Fast Entity Linking in Noisy Text Environments. KDD 2018: 168-176 - 2015
- [c9]Bryan Ng, Matthew Hayes, Winston Khoon Guan Seah:
Developing a traffic classification platform for enterprise networks with SDN: Experiences & lessons learned. Networking 2015: 1-9 - 2014
- [c8]Mathieu Bastian, Matthew Hayes, William Vaughan, Sam Shah, Peter Skomoroch, Hyung Jin Kim, Sal Uryasev, Christopher Lloyd:
LinkedIn skills: large-scale topic extraction and inference. RecSys 2014: 1-8 - 2013
- [c7]Matthew Hayes, Sam Shah:
Hourglass: A library for incremental processing on Hadoop. IEEE BigData 2013: 742-752 - 2011
- [c6]Yoon Soo Pyon, Matthew Hayes, Jing Li:
Model based clustering approach for identifying structural variation using next generation sequencing data. ICCABS 2011: 153-158 - 2009
- [c5]Matthew Hayes, Jonathon A. Chambers, Malcolm D. Macleod:
A single-carrier quasi-orthogonal transmission scheme for asynchronous cooperative relay networks. EUSIPCO 2009: 125-129 - [c4]Matthew Hayes, Jing Li:
A Linear-Time Algorithm for Analyzing Array CGH Data Using Log Ratio Triangulation. ISBRA 2009: 248-259 - 2008
- [c3]Matthew Hayes, Jonathon A. Chambers, Malcolm D. Macleod:
A simple quasi-orthogonal space-time scheme for use in asynchronous virtual antenna array enabled cooperative networks. EUSIPCO 2008: 1-5 - [c2]Shakiru K. Kassim, Matthew Hayes, Nasreldin M. Eltayeb, Jonathon A. Chambers:
Exploitation of Quasi-Orthogonal Space Time Block Codes in Virtual Antenna Arrays: Part II Monte Carlo-Based throughput Evaluation. VTC Spring 2008: 242-246 - [c1]Matthew Hayes, Shakiru K. Kassim, Jonathon A. Chambers, Malcolm D. Macleod:
Exploitation of Quasi-Orthogonal Space Time Block Codes in Virtual Antenna Arrays: Part I - Theoretical Capacity and throughput Gains. VTC Spring 2008: 349-352
Informal and Other Publications
- 2018
- [i1]Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah:
Pangloss: Fast Entity Linking in Noisy Text Environments. CoRR abs/1807.06036 (2018)
Coauthor Index
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