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ORCIDNeil J. Hurley
Neil Hurley
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- affiliation: University College Dublin, Dublin, Ireland
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2020 – today
- 2024
[c109]Neil Hurley
, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor:
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys 2024: 56-64- [c108]Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor:
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys 2024: 161-168 - 2023
- [c107]Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. ECIR (1) 2023: 249-263 - [c106]Aayush Singha Roy, Edoardo D'Amico, Aonghus Lawlor, Neil Hurley:
Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems. FLAIRS 2023 - [c105]Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley:
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. IJCAI 2023: 6237-6245 - [c104]Edoardo D'Amico, Aonghus Lawlor, Neil Hurley:
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. PAKDD (3) 2023: 310-321 - [c103]Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley:
Scalable Deep Q-Learning for Session-Based Slate Recommendation. RecSys 2023: 877-882 - [i14]Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR abs/2303.15946 (2023) - [i13]Edoardo D'Amico, Aonghus Lawlor, Neil Hurley:
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. CoRR abs/2305.18374 (2023) - 2022
- [j17]Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access 10: 71961-71972 (2022) - [c102]Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong:
MARF: User-Item Mutual Aware Representation with Feedback. ICWE 2022: 3-15 - [c101]Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP 2022: 79-88 - [r3]Pablo Castells, Neil Hurley, Saúl Vargas:
Novelty and Diversity in Recommender Systems. Recommender Systems Handbook 2022: 603-646 - 2021
- [j16]Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor:
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access 9: 83340-83354 (2021) - [c100]Faisal Ghaffar, Neil Hurley:
Modelling social capital: the structural hole connections game. ASONAM 2021: 9-13 - [c99]Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData 2021: 1023-1029 - [c98]Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley:
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. PAKDD (3) 2021: 206-218 - [i12]Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley:
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering. CoRR abs/2105.06903 (2021) - 2020
- [j15]Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor:
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. IEEE Access 8: 181835-181847 (2020) - [c97]Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley:
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. ACML 2020: 641-656 - [c96]Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley:
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. ACML 2020: 673-688 - [c95]Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor:
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. KDD 2020: 1234-1242 - [c94]Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley:
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) 2020: 307-323 - [c93]Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor:
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. RecSys 2020: 438-443
2010 – 2019
- 2019
- [c92]Erika Duriakova, Deepak Ajwani, Neil Hurley:
Engineering a Parallel Δ-stepping Algorithm. IEEE BigData 2019: 609-616 - [c91]Faisal Ghaffar, Neil Hurley:
Network Rewiring Dynamics to Form Clustered Strategic Networks. COMPLEX NETWORKS (2) 2019: 268-279 - [c90]Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley:
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection. ECML/PKDD (1) 2019: 507-523 - [c89]Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor:
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys 2019: 457-461 - [c88]Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor:
PyRecGym: a reinforcement learning gym for recommender systems. RecSys 2019: 491-495 - [c87]Jacek Wasilewski, Neil Hurley:
Bayesian Personalized Ranking for Novelty Enhancement. UMAP 2019: 144-148 - [e4]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0 [contents] - [e3]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11052, Springer 2019, ISBN 978-3-030-10927-1 [contents] - [e2]Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11053, Springer 2019, ISBN 978-3-030-10996-7 [contents] - [i11]Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley:
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. CoRR abs/1905.05022 (2019) - [i10]Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley:
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. CoRR abs/1908.07031 (2019) - 2018
- [j14]Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley:
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. 30(1): 43-58 (2018) - [c86]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM 2018: 678-685 - [c85]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
SCCD: Social Capital-Driven Career Development Framework. ASONAM 2018: 1295-1298 - [c84]Deepak Ajwani, Erika Duriakova, Neil Hurley, Ulrich Meyer, Alexander Schickedanz:
An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores. ICPP 2018: 78:1-78:12 - [c83]Jacek Wasilewski, Neil Hurley:
Intent-aware Item-based Collaborative Filtering for Personalised Diversification. UMAP 2018: 81-89 - [c82]Jacek Wasilewski, Neil Hurley:
Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems. UMAP 2018: 213-217 - [c81]Armita Afsharinejad, Neil Hurley:
Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches. WSDM 2018: 10-18 - [p4]Neil J. Hurley:
Robustness and Attacks on Recommenders. Collaborative Recommendations 2018: 405-430 - [i9]Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim:
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR abs/1808.05906 (2018) - 2017
- [c80]Raúl Moreno, Weipéng Huáng, Arjumand Younus, Michael P. O'Mahony, Neil J. Hurley:
Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search. CLEF 2017: 125-131 - [c79]Jacek Wasilewski, Neil Hurley:
How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems. RecSys Posters 2017 - [c78]Jacek Wasilewski, Neil Hurley:
Personalised Diversification Using Intent-Aware Portfolio. UMAP (Adjunct Publication) 2017: 71-76 - 2016
- [c77]Neil J. Hurley, Erika Duriakova:
An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks. ASONAM 2016: 319-322 - [c76]Jacek Wasilewski, Neil Hurley:
Incorporating Diversity in a Learning to Rank Recommender System. FLAIRS 2016: 572-578 - [c75]Jacek Wasilewski, Neil Hurley:
Intent-Aware Diversification Using a Constrained PLSA. RecSys 2016: 39-42 - [c74]Bichen Shi, Georgiana Ifrim, Neil J. Hurley:
Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. WWW 2016: 1191-1202 - 2015
- [c73]Neil J. Hurley, Erika Duriakova:
Reformulations of the Map Equation for Community Finding and Blockmodelling. ASONAM 2015: 1606-1607 - [r2]Pablo Castells, Neil J. Hurley, Saul Vargas:
Novelty and Diversity in Recommender Systems. Recommender Systems Handbook 2015: 881-918 - [r1]Robin Burke, Michael P. O'Mahony, Neil J. Hurley:
Robust Collaborative Recommendation. Recommender Systems Handbook 2015: 961-995 - 2014
- [j13]Daniel Archambault, Neil J. Hurley:
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks. Soc. Netw. Anal. Min. 4(1): 205 (2014) - [c72]Aaron F. McDaid, Neil J. Hurley, Thomas Brendan Murphy:
Overlapping Stochastic Community Finding. ASONAM 2014: 17-20 - [c71]Erika Duriakova, Neil Hurley, Deepak Ajwani, Alessandra Sala:
Analysis of the semi-synchronous approach to large-scale parallel community finding. COSN 2014: 51-62 - [c70]Bichen Shi, Georgiana Ifrim, Neil Hurley:
Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) 2014: 473-476 - [i8]Bichen Shi, Georgiana Ifrim, Neil Hurley:
Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR abs/1405.3117 (2014) - 2013
- [j12]Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley:
Improved Bayesian inference for the stochastic block model with application to large networks. Comput. Stat. Data Anal. 60: 12-31 (2013) - [c69]Daniel Archambault, Neil J. Hurley, Cuong To Tu:
ChurnVis: visualizing mobile telecommunications churn on a social network with attributes. ASONAM 2013: 894-901 - [c68]Neil J. Hurley:
Personalised ranking with diversity. RecSys 2013: 379-382 - [p3]Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Partitioning Breaks Communities. Mining Social Networks and Security Informatics 2013: 79-105 - [p2]Michael Farrugia, Neil Hurley, Aaron J. Quigley:
SAINT: Supervised Actor Identification for Network Tuning. Mining Social Networks and Security Informatics 2013: 107-126 - 2012
- [c67]Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Percolation Computation in Complex Networks. ASONAM 2012: 274-281 - [c66]Martin Harrigan, Daniel Archambault, Pádraig Cunningham, Neil J. Hurley:
EgoNav: exploring networks through egocentric spatializations. AVI 2012: 563-570 - [c65]Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue:
A Double-Ranking Strategy for Long-Tail Product Recommendation. Web Intelligence 2012: 282-286 - [e1]Padraig Cunningham, Neil J. Hurley, Ido Guy, Sarabjot Singh Anand:
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012. ACM 2012, ISBN 978-1-4503-1270-7 [contents] - [i7]Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Percolation Computation in Complex Networks. CoRR abs/1205.0038 (2012) - [i6]Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley:
Model-based clustering in networks with Stochastic Community Finding. CoRR abs/1205.1997 (2012) - 2011
- [j11]Neil Hurley, Mi Zhang:
Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. ACM Trans. Internet Techn. 10(4): 14:1-14:30 (2011) - [c64]Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Partitioning Breaks Communities. ASONAM 2011: 102-109 - [c63]Michael Farrugia, Neil Hurley, Aaron J. Quigley:
SNAP: Towards a Validation of the Social Network Assembly Pipeline. ASONAM 2011: 228-235 - [c62]Daniel Archambault, Derek Greene, Pádraig Cunningham, Neil J. Hurley:
ThemeCrowds: multiresolution summaries of twitter usage. SMUC 2011: 77-84 - [c61]Fergal Reid, Neil J. Hurley:
Analysing structure in complex networks using quality functions evolved by genetic programming. GECCO 2011: 283-290 - [c60]Fergal Reid, Neil J. Hurley:
Diffusion in Networks with Overlapping Community Structure. ICDM Workshops 2011: 969-978 - [c59]Neil Hurley:
Towards Diverse Recommendation. DiveRS@RecSys 2011: 1 - [c58]Neil J. Hurley:
Robustness of recommender systems. RecSys 2011: 9-10 - [p1]Robin D. Burke, Michael P. O'Mahony, Neil J. Hurley:
Robust Collaborative Recommendation. Recommender Systems Handbook 2011: 805-835 - [i5]Conrad Lee, Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Seeding for pervasively overlapping communities. CoRR abs/1104.5578 (2011) - [i4]Fergal Reid, Aaron F. McDaid, Neil J. Hurley:
Partitioning Breaks Communities. CoRR abs/1105.5344 (2011) - [i3]Fergal Reid, Neil J. Hurley:
Diffusion in Complex Networks With Overlapping Community Structure. CoRR abs/1105.5849 (2011) - [i2]Aaron F. McDaid, Derek Greene, Neil J. Hurley:
Normalized Mutual Information to evaluate overlapping community finding algorithms. CoRR abs/1110.2515 (2011) - 2010
- [j10]Anand Narasimhamurthy, Derek Greene, Neil J. Hurley, Padraig Cunningham:
Partitioning large networks without breaking communities. Knowl. Inf. Syst. 25(2): 345-369 (2010) - [c57]Aaron F. McDaid, Neil J. Hurley:
Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion. ASONAM 2010: 112-119 - [c56]Zunping Cheng, Neil Hurley:
Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization. ICTAI (2) 2010: 105-112 - [c55]Zunping Cheng, Neil Hurley:
Analysis of robustness in trust-based recommender systems. RIAO 2010: 114-121 - [c54]Mi Zhang, Neil Hurley:
Niche Product Retrieval in Top-N Recommendation. Web Intelligence 2010: 74-81 - [i1]Aaron F. McDaid, Neil J. Hurley:
Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure. CoRR abs/1011.1970 (2010)
2000 – 2009
- 2009
- [c53]Zunping Cheng, Neil Hurley:
Robustness Analysis of Model-Based Collaborative Filtering Systems. AICS 2009: 3-15 - [c52]Zunping Cheng, Neil Hurley:
Trading Robustness for Privacy in Decentralized Recommender Systems. IAAI 2009 - [c51]Mi Zhang, Neil Hurley:
Evaluating the Diversity of Top-N Recommendations. ICTAI 2009: 457-460 - [c50]Zunping Cheng, Neil Hurley:
Effective diverse and obfuscated attacks on model-based recommender systems. RecSys 2009: 141-148 - [c49]Neil Hurley, Zunping Cheng, Mi Zhang:
Statistical attack detection. RecSys 2009: 149-156 - [c48]Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth:
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. UMAP 2009: 355-360 - [c47]Mi Zhang, Neil Hurley:
Statistical Modeling of Diversity in Top-N Recommender Systems. Web Intelligence 2009: 490-497 - [c46]Mi Zhang, Neil Hurley:
Novel Item Recommendation by User Profile Partitioning. Web Intelligence 2009: 508-515 - 2008
- [j9]Neil J. Hurley, Félix Balado, Guenole C. M. Silvestre:
Markov Modelling of Fingerprinting Systems for Collision Analysis. EURASIP J. Inf. Secur. 2008 (2008) - [c45]Neil Hurley, Mi Zhang:
Analysis of Methods for Novel Case Selection. ICTAI (2) 2008: 217-224 - [c44]Mi Zhang, Neil Hurley:
Avoiding monotony: improving the diversity of recommendation lists. RecSys 2008: 123-130 - 2007
- [j8]Neil J. Hurley, Michael P. O'Mahony, Guenole C. M. Silvestre:
Attacking Recommender Systems: A Cost-Benefit Analysis. IEEE Intell. Syst. 22(3): 64-68 (2007) - [j7]Kevin M. Whelan, Félix Balado, Neil J. Hurley, Guenole C. M. Silvestre:
A Two-Dimensional Extension of the Mueller and Müller Timing Error Detector. IEEE Signal Process. Lett. 14(7): 457-460 (2007) - [j6]Félix Balado, Neil J. Hurley, Elizabeth P. McCarthy, Guenole C. M. Silvestre:
Performance Analysis of Robust Audio Hashing. IEEE Trans. Inf. Forensics Secur. 2(2): 254-266 (2007) - [c43]Cormac J. Doherty, Neil J. Hurley:
Autonomic distributed data management with update accesses. Autonomics 2007: 10 - [c42]Félix Balado, Neil J. Hurley, Elizabeth P. McCarthy, Guenole C. M. Silvestre:
Performance of Philips Audio Fingerprinting Under Additive Noise. ICASSP (2) 2007: 209-212 - [c41]Cormac J. Doherty, Neil J. Hurley:
Hierarchical Policy-Based Replication. IPCCC 2007: 254-263 - [c40]Neil J. Hurley, Félix Balado, Elizabeth P. McCarthy, Guenole C. M. Silvestre:
Performance of Philips Audio Fingerprinting under Desynchronisation. ISMIR 2007: 133-134 - 2006
- [c39]Kevin M. Whelan, Félix Balado, Guenole C. M. Silvestre, Neil J. Hurley:
PLL-Based Synchronization of Dither-Modulation Data Hiding. ICASSP (2) 2006: 321-324 - [c38]Michael P. O'Mahony, Neil J. Hurley, Guenole C. M. Silvestre:
Detecting noise in recommender system databases. IUI 2006: 109-115 - [c37]Rob Brennan, Gavin O'Gorman, Cormac J. Doherty, Neil J. Hurley, Conor McArdle:
Autonomic Replication of Management Data Evaluation of a Market-based Approach. NOMS 2006 - [c36]Félix Balado, Neil Hurley, Guénolé C. M. Silvestre:
Sphere-hardening dither modulation. Security, Steganography, and Watermarking of Multimedia Contents 2006: 60720V - [c35]Mark T. Hogan, Félix Balado, Neil J. Hurley, Guénolé C. M. Silvestre:
New results on robustness of secure steganography. Security, Steganography, and Watermarking of Multimedia Contents 2006: 60720U - 2005
- [j5]Félix Balado, Kevin M. Whelan, Guénolé C. M. Silvestre, Neil J. Hurley:
Joint iterative decoding and estimation for side-informed data hiding. IEEE Trans. Signal Process. 53(10): 4006-4019 (2005) - [c34]Michael P. O'Mahony, Neil J. Hurley, Guenole C. M. Silvestre:
Recommender Systems: Attack Types and Strategies. AAAI 2005: 334-339 - [c33]Y. P. Anysia Yong, Neil J. Hurley, Guenole C. M. Silvestre:
Single-trial EEG classification for brain-computer interface using wavelet decomposition. EUSIPCO 2005: 1-4 - [c32]Keith B. Cullen, Guenole C. M. Silvestre, Neil J. Hurley:
Simulation of DSP algorithms on fixed point architectures. ICASSP (5) 2005: 49-52 - [c31]Kevin M. Whelan, Guenole C. M. Silvestre, Neil J. Hurley:
Iterative decoding of scale invariant image data-hiding. ICIP (1) 2005: 989-992 - [c30]Alan J. Larkin, Félix Balado, Neil J. Hurley, Guenole C. M. Silvestre:
Dither Modulation Watermarking of Dynamic Memory Traces. Information Hiding 2005: 372-386 - [c29]Mark T. Hogan, Félix Balado, Neil J. Hurley, Guenole C. M. Silvestre:
On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints. IWDW 2005: 387-402 - [c28]Neil J. Hurley, Cormac J. Doherty, Rob Brennan:
Modelling Data Access for a Distributed Network Management System. MASCOTS 2005: 315-318 - [c27]Mark T. Hogan, Neil J. Hurley, Guenole C. M. Silvestre, Félix Balado, Kevin M. Whelan:
ML detection of steganography. Security, Steganography, and Watermarking of Multimedia Contents 2005: 16-27 - [c26]