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Andrew McCarren
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2020 – today
- 2024
- [c17]Deborah Djon, Darragh Connaughton, Geoff Hamilton, Andrew McCarren:
Comparative Analysis of Methods for Performing a Side-Channel Video-Fingerprinting Attack. ISCC 2024: 1-7 - [i4]Gonzalo Lopez Gil, Paul Duhamel-Sebline, Andrew McCarren:
An Evaluation of Deep Learning Models for Stock Market Trend Prediction. CoRR abs/2408.12408 (2024) - 2023
- [j3]Malgorzata Gutowska, Suzanne Little, Andrew McCarren:
Constructing a Meta-Learner for Unsupervised Anomaly Detection. IEEE Access 11: 45815-45825 (2023) - [j2]Yalemisew M. Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, Paul M. Clarke:
Decomposition of Monolith Applications Into Microservices Architectures: A Systematic Review. IEEE Trans. Software Eng. 49(8): 4213-4242 (2023) - [c16]Caoimhe De Buitlear, Ailbhe Byrne, Eric McEvoy, Abasse Camara, Murat Yilmaz, Andrew McCarren, Paul M. Clarke:
Investigating Sources and Effects of Bias in AI-Based Systems - Results from an MLR. EuroSPI (1) 2023: 20-35 - [i3]Malgorzata Gutowska, Suzanne Little, Andrew McCarren:
Constructing a meta-learner for unsupervised anomaly detection. CoRR abs/2304.11438 (2023) - [i2]Mikhail Kudriavtsev, Marija Bezbradica, Andrew McCarren:
Exploring the Trie of Rules: a fast data structure for the representation of association rules. CoRR abs/2310.17355 (2023) - 2021
- [c15]Justin Fajou, Andrew McCarren:
Forecasting Gold Prices Using Temporal Convolutional Networks. AICS 2021: 248-259 - [c14]Sharath Madhu Manjunath, Manju Gurjar, Neil O'Kane, Andrew McCarren, Leonardo Gualano:
Detection of Covid-19 From an Imbalanced Chest X-ray Image Data Set. AICS 2021: 272-283 - 2020
- [c13]Jake Grogan, Connor Mulready, James McDermott, Martynas Urbanavicius, Murat Yilmaz, Yalemisew M. Abgaz, Andrew McCarren, Silvana Togneri MacMahon, Vahid Garousi, Peter Elger, Paul M. Clarke:
A Multivocal Literature Review of Function-as-a-Service (FaaS) Infrastructures and Implications for Software Developers. EuroSPI 2020: 58-75 - [i1]Stefan Kennedy, Niall Walsh, Kirils Sloka, Jennifer Foster, Andrew McCarren:
Fact or Factitious? Contextualized Opinion Spam Detection. CoRR abs/2010.15296 (2020)
2010 – 2019
- 2019
- [j1]Michael Scriney, Suzanne McCarthy, Andrew McCarren, Paolo Cappellari, Mark Roantree:
Automating Data Mart Construction from Semi-structured Data Sources. Comput. J. 62(3): 394-413 (2019) - [c12]Stefan Kennedy, Niall Walsh, Kirils Sloka, Andrew McCarren, Jennifer Foster:
Fact or Factitious? Contextualized Opinion Spam Detection. ACL (2) 2019: 344-350 - [c11]Malgorzata Gutowska, Michael Scriney, Andrew McCarren:
Identifying Extra-terrestrial Intelligence Using Machine Learning. AICS 2019: 293-304 - [c10]Michael Scriney, Congcong Xing, Andrew McCarren, Mark Roantree:
Representative Sample Extraction from Web Data Streams. DEXA (1) 2019: 341-351 - [c9]Suzanne McCarthy, Andrew McCarren, Mark Roantree:
A Method for Automated Transformation and Validation of Online Datasets. EDOC 2019: 183-189 - 2018
- [c8]Fouad Bahrpeyma, Mark Roantree, Andrew McCarren:
Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches. DaWaK 2018: 345-354 - [c7]Suzanne McCarthy, Andrew McCarren, Mark Roantree:
Combining Web and Enterprise Data for Lightweight Data Mart Construction. DEXA (2) 2018: 138-146 - 2017
- [c6]Andrew McCarren, Suzanne McCarthy, Conor O. Sullivan, Mark Roantree:
Anomaly detection in agri warehouse construction. ACSW 2017: 17:1-17:10 - [c5]Fouad Bahrpeyma, Mark Roantree, Andrew McCarren:
Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets. AICS 2017: 193-205 - [c4]Jim O'Donoghue, Mark Roantree, Andrew McCarren:
Detecting Feature Interactions in Agricultural Trade Data Using a Deep Neural Network. DaWaK 2017: 449-458 - [c3]Ken Bailey, Mark Roantree, Martin Crane, Andrew McCarren:
Data Mining in Agri Warehouses Using MODWT Wavelet Analysis. ICIST 2017: 241-253 - 2016
- [c2]Jim O'Donoghue, Mark Roantree, Andrew McCarren:
Variable interactions in risk factors for dementia. RCIS 2016: 1-10 - 2015
- [c1]Jim O'Donoghue, Mark Roantree, Bryan Cullen, Niall Moyna, Conor O. Sullivan, Andrew McCarren:
Anomaly and Event Detection for Unsupervised Athlete Performance Data. LWA 2015: 205-217
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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