Stuart Mcilroy
Stuart Mcilroy
Verified email at dal.ca
Title
Cited by
Cited by
Year
Fresh apps: an empirical study of frequently-updated mobile apps in the Google play store
S McIlroy, N Ali, AE Hassan
Empirical Software Engineering 21 (3), 1346-1370, 2016
1292016
Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews
S McIlroy, N Ali, H Khalid, AE Hassan
Empirical Software Engineering 21 (3), 1067-1106, 2016
1122016
Truth in advertising: The hidden cost of mobile ads for software developers
J Gui, S Mcilroy, M Nagappan, WGJ Halfond
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015
1082015
Is it worth responding to reviews? studying the top free apps in google play
S McIlroy, W Shang, N Ali, AE Hassan
IEEE Software 34 (3), 64-71, 2015
382015
User reviews of top mobile apps in Apple and Google app stores
S Mcilroy, W Shang, N Ali, AE Hassan
Communications of the ACM 60 (11), 62-67, 2017
192017
E Hassan A (2015) Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews
S McIlroy, N Ali, H Khalid
Empirical Software Engineering, 1-40, 0
6
In vivo classification of inflammation in blood vessels with convolutional neural networks
S McIlroy, Y Kubo, T Trappenberg, J Toguri, C Lehmann
2017 International Joint Conference on Neural Networks (IJCNN), 3022-3027, 2017
22017
Empirical studies of the distribution and feedback mechanisms of mobile app stores
S Mcilroy
22014
Impact of biased mislabeling on learning with deep networks
FS Fard, P Hollensen, S Mcilory, T Trappenberg
2017 International Joint Conference on Neural Networks (IJCNN), 2652-2657, 2017
2017
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