Pol Mac Aonghusa
Pol Mac Aonghusa
IBM Research
Verified email at ie.ibm.com
Cited by
Cited by
The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation
S Michie, J Thomas, M Johnston, P Mac Aonghusa, J Shawe-Taylor, ...
Implementation Science 12 (1), 121, 2017
Queriocity: A linked data platform for urban information management
V Lopez, S Kotoulas, ML Sbodio, M Stephenson, A Gkoulalas-Divanis, ...
International Semantic Web Conference, 148-163, 2012
SPUD—Semantic processing of urban data
S Kotoulas, V Lopez, R Lloyd, ML Sbodio, F Lecue, M Stephenson, E Daly, ...
Journal of web semantics 24, 11-17, 2014
Open Innovation Portal: A collaborative platform for open city data sharing
M Stephenson, G Di Lorenzo, P Mac Aonghusa
2012 IEEE International Conference on Pervasive Computing and Communications …, 2012
Capturing the pulse of cities: Opportunity and research challenges for robust stream data reasoning
F Lécué, S Kotoulas, P Mac Aonghusa
Semantic Cities@ AAAI, 2012
Hard cores destroy Bose-Einstein condensation
P Mac Aonghusa, JV Pulé
letters in mathematical physics 14 (2), 117-121, 1987
The bounded Laplace mechanism in differential privacy
N Holohan, S Antonatos, S Braghin, P Mac Aonghusa
arXiv preprint arXiv:1808.10410, 2018
Don’t let Google know I’m lonely
PM Aonghusa, DJ Leith
ACM Transactions on Privacy and Security (TOPS) 19 (1), 1-25, 2016
Privacy protection in open information management platforms
A Gkoulalas-Divanis, P Mac Aonghusa
IBM Journal of Research and Development 58 (1), 2: 1-2: 11, 2014
Enabling Person-Centric Care using linked data technologies.
S Kotoulas, W Sedlazek, V Lopez, M Sbodio, M Stephenson, P Tommasi, ...
Studies in health technology and informatics 205, 692-696, 2014
Capturing the pulse of cities: A robust stream data reasoning approach
F Lecue, S Kotoulas, P Mac Aonghusa
Position paper, IBM Research, Smarter Cities Technology Centre, Dublin, Ireland, 2011
The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour
S Michie, J Thomas, P Mac Aonghusa, R West, M Johnston, MP Kelly, ...
Wellcome Open Research 5 (122), 122, 2020
Diffprivlib: the IBM differential privacy library
N Holohan, S Braghin, P Mac Aonghusa, K Levacher
arXiv preprint arXiv:1907.02444, 2019
Plausible Deniability in Web Search—From Detection to Assessment
P Mac Aonghusa, DJ Leith
IEEE Transactions on Information Forensics and Security 13 (4), 874-887, 2017
An extension of Lévy's stochastic area formula
P Mac aonghusa, JV Pule
Stochastics: An International Journal of Probability and Stochastic …, 1989
Anonymity: k-Anonymity with ϵ-differential privacy
N Holohan, S Antonatos, S Braghin, P Mac Aonghusa
arXiv preprint arXiv:1710.01615, 2017
Unsupervised information extraction from behaviour change literature
D Ganguly, LA Deleris, P Mac Aonghusa, AJ Wright, AN Finnerty, E Norris, ...
Studies in health technology and informatics 247, 680-684, 2018
(,)-Anonymity: -Anonymity with -Differential Privacy
N Holohan, S Antonatos, S Braghin, P Mac Aonghusa
arXiv preprint arXiv:1710.01615, 2017
Coordinating Social Care and Healthcare using Semantic Web Technologies.
S Kotoulas, V Lopez, M Stephenson, P Tommasi, W Shen, G Hu, ...
International Semantic Web Conference (Posters & Demos), 169-172, 2013
Prima: an end-to-end framework for privacy at scale
S Antonatos, S Braghin, N Holohan, Y Gkoufas, P Mac Aonghusa
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1531-1542, 2018
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