An Integrated Problem Solving Environment for Numerical Simulation of Engineering Problems. - Nobutoshi Sagawa; Donal Finn; Neil J. Hurley (Programming Environments for High-Level Scientific Problem Solving, 1991)

AI-DEQSOL. A knowledge-based environment for numerical simulation of engineering problems described by partial differential equations. - Donal Finn; Neil J. Hurley; Nobutoshi Sagawa (Artif. Intell. Eng. Des. Anal. Manuf., 1992)

A priori Selection of Mesh Densities for Adaptive Finite Element Analysis, Using a Case-Based Reasoning Approach. - Neil Hurley (EWCBR, 1993)

On the use of CBR in optimisation problems such as the TSP. - Padraig Cunningham; Barry Smyth; Neil J. Hurley (ICCBR, 1995)

Evaluating the Application of CBR in Mesh Design for Simulation Problems. - Neil Hurley (ICCBR, 1995)

The Use of Fuzzy Representation in a CBR System for Mesh Design. - Neil Hurley (Fuzzy Logic in Artificial Intelligence, 1995)

Parallel Adaptive Mesh Refinement for Large Eddy Simulation Using the Finite Element Method. - Darach Golden; Neil Hurley; Sean McGrath (PARA, 1998)

Informed audio watermarking scheme using digital chaotic signals. - Guenole C. M. Silvestre; Neil J. Hurley; G. S. Hanau; W. J. Dowling (ICASSP, 2001)

Towards Robust Collaborative Filtering. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (AICS, 2002)

Promoting Recommendations: An Attack on Collaborative Filtering. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (DEXA, 2002)

Side-informed watermarking using nth-order polynomial detectors. - Neil J. Hurley; Guenole C. M. Silvestre; Teddy Furon (EUSIPCO, 2002)

JANIS: Just Another n-order Side-Informed Watermarking Scheme. - Teddy Furon; Benoît Macq; Neil J. Hurley; Guenole C. M. Silvestre (ICIP (2), 2002)

Robustness and Efficiency of Non-linear Side-Informed Watermarking. - Guenole C. M. Silvestre; Neil J. Hurley; Teddy Furon (Information Hiding, 2002)

Nth-order audio watermarking. - Neil J. Hurley; Guénolé C. M. Silvestre (Security and Watermarking of Multimedia Contents, 2002)

Application of side-informed embedding and polynomial detection to audio watermarking. - Micheal Mullarkey; Neil J. Hurley; Guenole C. M. Silvestre; Teddy Furon (ICASSP (3), 2003)

Collaborative Filtering - Safe and Sound? - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (ISMIS, 2003)

Securing Java through software watermarking. - D. Curran; Neil J. Hurley; Mel Ó Cinnéide (PPPJ, 2003)

Improved polynomial detectors for side-informed watermarking. - Jonathan Delhumeau; Teddy Furon; Neil J. Hurley; Guénolé C. M. Silvestre (Security and Watermarking of Multimedia Contents, 2003)

Efficient and Secure Collaborative Filtering through Intelligent Neighbour Selection. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (ECAI, 2004)

A framework for soft hashing and its application to robust image hashing. - Elizabeth P. McCarthy; Félix Balado; Guenole C. M. Silvestre; Neil J. Hurley (ICIP, 2004)

Utility-based neighbourhood formation for efficient and robust collaborative filtering. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (EC, 2004)

Performance evaluation of blind steganalysis classifiers. - Mark T. Hogan; Guenole C. M. Silvestre; Neil J. Hurley (Security, Steganography, and Watermarking of Multimedia Contents, 2004)

Error correction coding of nonlinear side-informed watermarking schemes. - Kevin M. Whelan; Guenole C. M. Silvestre; Neil J. Hurley (Security, Steganography, and Watermarking of Multimedia Contents, 2004)

An Evaluation of Neighbourhood Formation on the Performance of Collaborative Filtering. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (Artif. Intell. Rev., 2004)

Simulation of the USP drug delivery problem using CFD: experimental, numerical and mathematical aspects. - Martin Crane; Neil J. Hurley; L. Crane; Anne Marie Healy; O. I. Corrigan; K. M. Gallagher; L. G. McCarthy (Simul. Model. Pract. Theory, 2004)

Collaborative recommendation: A robustness analysis. - Michael P. O'Mahony; Neil J. Hurley; Nicholas Kushmerick; Guenole C. M. Silvestre (ACM Trans. Internet Techn., 2004)

Recommender Systems: Attack Types and Strategies. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (AAAI, 2005)

Single-trial EEG classification for brain-computer interface using wavelet decomposition. - Y. P. Anysia Yong; Neil J. Hurley; Guenole C. M. Silvestre (EUSIPCO, 2005)

Simulation of DSP algorithms on fixed point architectures. - Keith B. Cullen; Guenole C. M. Silvestre; Neil J. Hurley (ICASSP (5), 2005)

Iterative decoding of scale invariant image data-hiding. - Kevin M. Whelan; Guenole C. M. Silvestre; Neil J. Hurley (ICIP (1), 2005)

Dither Modulation Watermarking of Dynamic Memory Traces. - Alan J. Larkin; Félix Balado; Neil J. Hurley; Guenole C. M. Silvestre (Information Hiding, 2005)

On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints. - Mark T. Hogan; Félix Balado; Neil J. Hurley; Guenole C. M. Silvestre (IWDW, 2005)

Modelling Data Access for a Distributed Network Management System. - Neil J. Hurley; Cormac J. Doherty; Rob Brennan (MASCOTS, 2005)

ML detection of steganography. - Mark T. Hogan; Neil J. Hurley; Guenole C. M. Silvestre; Félix Balado; Kevin M. Whelan (Security, Steganography, and Watermarking of Multimedia Contents, 2005)

A model for improving the performance of feature-extraction-based robust hashing. - Elizabeth P. McCarthy; Félix Balado; Guenole C. M. Silvestre; Neil J. Hurley (Security, Steganography, and Watermarking of Multimedia Contents, 2005)

An investigation of robustness in nonlinear audio watermarking. - Finbarr B. O'Donovan; Neil J. Hurley; Guenole C. M. Silvestre (Security, Steganography, and Watermarking of Multimedia Contents, 2005)

Iterative estimation of amplitude scaling on distortion-compensated dither modulation. - Kevin M. Whelan; Félix Balado; Guenole C. M. Silvestre; Neil J. Hurley (Security, Steganography, and Watermarking of Multimedia Contents, 2005)

Joint iterative decoding and estimation for side-informed data hiding. - Félix Balado; Kevin M. Whelan; Guénolé C. M. Silvestre; Neil J. Hurley (IEEE Trans. Signal Process., 2005)

PLL-Based Synchronization of Dither-Modulation Data Hiding. - Kevin M. Whelan; Félix Balado; Guenole C. M. Silvestre; Neil J. Hurley (ICASSP (2), 2006)

Detecting noise in recommender system databases. - Michael P. O'Mahony; Neil J. Hurley; Guenole C. M. Silvestre (IUI, 2006)

Autonomic Replication of Management Data Evaluation of a Market-based Approach. - Rob Brennan; Gavin O'Gorman; Cormac J. Doherty; Neil J. Hurley; Conor McArdle (NOMS, 2006)

Sphere-hardening dither modulation. - Félix Balado; Neil Hurley; Guénolé C. M. Silvestre (Security, Steganography, and Watermarking of Multimedia Contents, 2006)

New results on robustness of secure steganography. - Mark T. Hogan; Félix Balado; Neil J. Hurley; Guénolé C. M. Silvestre (Security, Steganography, and Watermarking of Multimedia Contents, 2006)

Autonomic distributed data management with update accesses. - Cormac J. Doherty; Neil J. Hurley (Autonomics, 2007)

Performance of Philips Audio Fingerprinting Under Additive Noise. - Félix Balado; Neil J. Hurley; Elizabeth P. McCarthy; Guenole C. M. Silvestre (ICASSP (2), 2007)

Hierarchical Policy-Based Replication. - Cormac J. Doherty; Neil J. Hurley (IPCCC, 2007)

Performance of Philips Audio Fingerprinting under Desynchronisation. - Neil J. Hurley; Félix Balado; Elizabeth P. McCarthy; Guenole C. M. Silvestre (ISMIR, 2007)

Attacking Recommender Systems: A Cost-Benefit Analysis. - Neil J. Hurley; Michael P. O'Mahony; Guenole C. M. Silvestre (IEEE Intell. Syst., 2007)

A Two-Dimensional Extension of the Mueller and Müller Timing Error Detector. - Kevin M. Whelan; Félix Balado; Neil J. Hurley; Guenole C. M. Silvestre (IEEE Signal Process. Lett., 2007)

Performance Analysis of Robust Audio Hashing. - Félix Balado; Neil J. Hurley; Elizabeth P. McCarthy; Guenole C. M. Silvestre (IEEE Trans. Inf. Forensics Secur., 2007)

Analysis of Methods for Novel Case Selection. - Neil Hurley; Mi Zhang 001 (ICTAI (2), 2008)

Avoiding monotony: improving the diversity of recommendation lists. - Mi Zhang 001; Neil Hurley (RecSys, 2008)

Markov Modelling of Fingerprinting Systems for Collision Analysis. - Neil J. Hurley; Félix Balado; Guenole C. M. Silvestre (EURASIP J. Inf. Secur., 2008)

Robustness Analysis of Model-Based Collaborative Filtering Systems. - Zunping Cheng; Neil Hurley (AICS, 2009)

Trading Robustness for Privacy in Decentralized Recommender Systems. - Zunping Cheng; Neil Hurley (IAAI, 2009)

Evaluating the Diversity of Top-N Recommendations. - Mi Zhang 001; Neil Hurley (ICTAI, 2009)

Effective diverse and obfuscated attacks on model-based recommender systems. - Zunping Cheng; Neil Hurley (RecSys, 2009)

Statistical attack detection. - Neil Hurley; Zunping Cheng; Mi Zhang 001 (RecSys, 2009)

What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. - Rachael Rafter; Michael P. O'Mahony; Neil J. Hurley; Barry Smyth (UMAP, 2009)

Statistical Modeling of Diversity in Top-N Recommender Systems. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2009)

Novel Item Recommendation by User Profile Partitioning. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2009)

Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion. - Aaron F. McDaid; Neil J. Hurley (ASONAM, 2010)

Robust Collaborative Recommendation by Least Trimmed Squares Matrix Factorization. - Zunping Cheng; Neil Hurley (ICTAI (2), 2010)

Analysis of robustness in trust-based recommender systems. - Zunping Cheng; Neil Hurley (RIAO, 2010)

Niche Product Retrieval in Top-N Recommendation. - Mi Zhang 001; Neil Hurley (Web Intelligence, 2010)

Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure - Aaron F. McDaid; Neil J. Hurley (CoRR, 2010)

Partitioning large networks without breaking communities. - Anand Narasimhamurthy; Derek Greene; Neil J. Hurley; Padraig Cunningham (Knowl. Inf. Syst., 2010)

SNAP: Towards a Validation of the Social Network Assembly Pipeline. - Michael Farrugia; Neil Hurley; Aaron J. Quigley (ASONAM, 2011)

Partitioning Breaks Communities. - Fergal Reid; Aaron F. McDaid; Neil J. Hurley (ASONAM, 2011)

ThemeCrowds: multiresolution summaries of twitter usage. - Daniel Archambault; Derek Greene; Pádraig Cunningham; Neil J. Hurley (SMUC, 2011)

Analysing structure in complex networks using quality functions evolved by genetic programming. - Fergal Reid; Neil J. Hurley (GECCO, 2011)

Diffusion in Networks with Overlapping Community Structure. - Fergal Reid; Neil J. Hurley (ICDM Workshops, 2011)

Robustness of recommender systems. - Neil J. Hurley (RecSys, 2011)

Towards Diverse Recommendation. - Neil Hurley (DiveRS@RecSys, 2011)

Seeding for pervasively overlapping communities - Conrad Lee; Fergal Reid; Aaron F. McDaid; Neil J. Hurley (CoRR, 2011)

Diffusion in Complex Networks With Overlapping Community Structure - Fergal Reid; Neil J. Hurley (CoRR, 2011)

Normalized Mutual Information to evaluate overlapping community finding algorithms - Aaron F. McDaid; Derek Greene; Neil J. Hurley (CoRR, 2011)

Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. - Neil Hurley; Mi Zhang 001 (ACM Trans. Internet Techn., 2011)

Robust Collaborative Recommendation. - Robin D. Burke; Michael P. O'Mahony; Neil J. Hurley (Recommender Systems Handbook, 2011)

Percolation Computation in Complex Networks. - Fergal Reid; Aaron F. McDaid; Neil J. Hurley (ASONAM, 2012)

EgoNav: exploring networks through egocentric spatializations. - Martin Harrigan; Daniel Archambault; Pádraig Cunningham; Neil J. Hurley (AVI, 2012)

A Double-Ranking Strategy for Long-Tail Product Recommendation. - Mi Zhang 001; Neil Hurley; Wei Li 012; Xiangyang Xue 001 (Web Intelligence, 2012)

Model-based clustering in networks with Stochastic Community Finding - Aaron F. McDaid; Thomas Brendan Murphy; Nial Friel; Neil J. Hurley (CoRR, 2012)

ChurnVis: visualizing mobile telecommunications churn on a social network with attributes. - Daniel Archambault; Neil J. Hurley; Cuong To Tu (ASONAM, 2013)

Personalised ranking with diversity. - Neil J. Hurley (RecSys, 2013)

Improved Bayesian inference for the stochastic block model with application to large networks. - Aaron F. McDaid; Thomas Brendan Murphy; Nial Friel; Neil J. Hurley (Comput. Stat. Data Anal., 2013)

SAINT: Supervised Actor Identification for Network Tuning. - Michael Farrugia; Neil Hurley; Aaron J. Quigley (Mining Social Networks and Security Informatics, 2013)

Partitioning Breaks Communities. - Fergal Reid; Aaron F. McDaid; Neil J. Hurley (Mining Social Networks and Security Informatics, 2013)

Overlapping Stochastic Community Finding. - Aaron F. McDaid; Neil J. Hurley; Thomas Brendan Murphy (ASONAM, 2014)

Analysis of the semi-synchronous approach to large-scale parallel community finding. - Erika Duriakova; Neil Hurley; Deepak Ajwani; Alessandra Sala (COSN, 2014)

Insight4News: Connecting News to Relevant Social Conversations. - Bichen Shi; Georgiana Ifrim; Neil Hurley (ECML/PKDD (3), 2014)

Be In The Know: Connecting News Articles to Relevant Twitter Conversations. - Bichen Shi; Georgiana Ifrim; Neil Hurley (CoRR, 2014)

Visualization of trends in subscriber attributes of communities on mobile telecommunications networks. - Daniel Archambault; Neil J. Hurley (Soc. Netw. Anal. Min., 2014)

Reformulations of the Map Equation for Community Finding and Blockmodelling. - Neil J. Hurley; Erika Duriakova (ASONAM, 2015)

Robust Collaborative Recommendation. - Robin Burke; Michael P. O'Mahony; Neil J. Hurley (Recommender Systems Handbook, 2015)

Novelty and Diversity in Recommender Systems. - Pablo Castells; Neil J. Hurley; Saul Vargas (Recommender Systems Handbook, 2015)

An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks. - Neil J. Hurley; Erika Duriakova (ASONAM, 2016)

Incorporating Diversity in a Learning to Rank Recommender System. - Jacek Wasilewski; Neil Hurley (FLAIRS, 2016)

Intent-Aware Diversification Using a Constrained PLSA. - Jacek Wasilewski; Neil Hurley (RecSys, 2016)

Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. - Bichen Shi; Georgiana Ifrim; Neil J. Hurley (WWW, 2016)

Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search. - Raúl Moreno; Weipéng Huáng; Arjumand Younus; Michael P. O'Mahony; Neil J. Hurley (CLEF, 2017)

How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems. - Jacek Wasilewski; Neil Hurley (RecSys Posters, 2017)

Personalised Diversification Using Intent-Aware Portfolio. - Jacek Wasilewski; Neil Hurley (UMAP (Adjunct Publication), 2017)

Robustness and Attacks on Recommenders. - Neil J. Hurley (Collaborative Recommendations, 2018)

A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. - Faisal Ghaffar; Teodora Sandra Buda; Haytham Assem; Armita Afsharinejad; Neil Hurley (ASONAM, 2018)

SCCD: Social Capital-Driven Career Development Framework. - Faisal Ghaffar; Teodora Sandra Buda; Haytham Assem; Armita Afsharinejad; Neil Hurley (ASONAM, 2018)

An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores. - Deepak Ajwani; Erika Duriakova; Neil Hurley; Ulrich Meyer 001; Alexander Schickedanz (ICPP, 2018)

Intent-aware Item-based Collaborative Filtering for Personalised Diversification. - Jacek Wasilewski; Neil Hurley (UMAP, 2018)

Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems. - Jacek Wasilewski; Neil Hurley (UMAP, 2018)

Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches. - Armita Afsharinejad; Neil Hurley (WSDM, 2018)

Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. - Bichen Shi; Thanh-Binh Le; Neil Hurley; Georgiana Ifrim (CoRR, 2018)

Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. - Bichen Shi; Gevorg Poghosyan; Georgiana Ifrim; Neil Hurley (IEEE Trans. Knowl. Data Eng., 2018)

Engineering a Parallel Δ-stepping Algorithm. - Erika Duriakova; Deepak Ajwani; Neil Hurley (IEEE BigData, 2019)

Network Rewiring Dynamics to Form Clustered Strategic Networks. - Faisal Ghaffar; Neil Hurley (COMPLEX NETWORKS (2), 2019)

A Soft Affiliation Graph Model for Scalable Overlapping Community Detection. - Nishma Laitonjam; Weipéng Huáng; Neil J. Hurley (ECML/PKDD (1), 2019)

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. - Erika Duriakova; Elias Z. Tragos; Barry Smyth; Neil Hurley; Francisco J. Peña; Panagiotis Symeonidis; James Geraci; Aonghus Lawlor (RecSys, 2019)

PyRecGym: a reinforcement learning gym for recommender systems. - Bichen Shi; Makbule Gulcin Ozsoy; Neil Hurley; Barry Smyth; Elias Z. Tragos; James Geraci; Aonghus Lawlor (RecSys, 2019)

Bayesian Personalized Ranking for Novelty Enhancement. - Jacek Wasilewski; Neil Hurley (UMAP, 2019)

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. - Weipéng Huáng; Nishma Laitonjam; Guangyuan Piao; Neil Hurley (CoRR, 2019)

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. - Weipéng Huáng; Guangyuan Piao; Raúl Moreno; Neil J. Hurley (CoRR, 2019)

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. - Weipéng Huáng; Guangyuan Piao; Raúl Moreno; Neil Hurley (ACML, 2020)

Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. - Nishma Laitonjam; Weipéng Huáng; Neil J. Hurley (ACML, 2020)

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. - Khalil Muhammad; Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Neil Hurley; James Geraci; Aonghus Lawlor (KDD, 2020)

An Algorithmic Framework for Decentralised Matrix Factorisation. - Erika Duriakova; Weipéng Huáng; Elias Z. Tragos; Aonghus Lawlor; Barry Smyth; James Geraci; Neil Hurley (ECML/PKDD (2), 2020)

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. - Francisco J. Peña; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Neil Hurley; Erika Duriakova; Barry Smyth; Aonghus Lawlor (RecSys, 2020)

MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. - Makbule Gulcin Ozsoy; Diarmuid O'Reilly-Morgan; Panagiotis Symeonidis; Elias Z. Tragos; Neil Hurley; Barry Smyth; Aonghus Lawlor (IEEE Access, 2020)

Modelling social capital: the structural hole connections game. - Faisal Ghaffar; Neil Hurley (ASONAM, 2021)

Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. - Erika Duriakova; Elias Z. Tragos; Aonghus Lawlor; Barry Smyth; Neil Hurley (IEEE BigData, 2021)

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. - Weipéng Huáng; Nishma Laitonjam; Guangyuan Piao; Neil J. Hurley (PAKDD (3), 2021)

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. - Bichen Shi; Elias Z. Tragos; Makbule Gulcin Ozsoy; Ruihai Dong; Neil Hurley; Barry Smyth; Aonghus Lawlor (IEEE Access, 2021)

Posterior Regularisation on Bayesian Hierarchical Mixture Clustering. - Weipéng Huáng; Tin Lok James Ng; Nishma Laitonjam; Neil J. Hurley (CoRR, 2021)

MARF: User-Item Mutual Aware Representation with Feedback. - Qinqin Wang; Khalil Muhammad; Diarmuid O'Reilly-Morgan; Barry Smyth; Elias Z. Tragos; Aonghus Lawlor; Neil Hurley; Ruihai Dong (ICWE, 2022)

Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. - Qinqin Wang; Elias Z. Tragos; Neil Hurley; Barry Smyth; Aonghus Lawlor; Ruihai Dong (UMAP, 2022)

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. - Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Neil Hurley; Barry Smyth; Aonghus Lawlor; Ruihai Dong (IEEE Access, 2022)

Novelty and Diversity in Recommender Systems. - Pablo Castells; Neil Hurley; Saúl Vargas (Recommender Systems Handbook, 2022)

Item Graph Convolution Collaborative Filtering for Inductive Recommendations. - Edoardo D'Amico; Khalil Muhammad; Elias Z. Tragos; Barry Smyth; Neil Hurley; Aonghus Lawlor (ECIR (1), 2023)

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems. - Aayush Singha Roy; Edoardo D'Amico; Aonghus Lawlor; Neil Hurley (FLAIRS, 2023)

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. - Elias Z. Tragos; Diarmuid O'Reilly-Morgan; James Geraci; Bichen Shi; Barry Smyth; Cailbhe Doherty; Aonghus Lawlor; Neil Hurley (IJCAI, 2023)

Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. - Edoardo D'Amico; Aonghus Lawlor; Neil Hurley (PAKDD (3), 2023)

Scalable Deep Q-Learning for Session-Based Slate Recommendation. - Aayush Singha Roy; Edoardo D'Amico; Elias Z. Tragos; Aonghus Lawlor; Neil Hurley (RecSys, 2023)

Entity Matching with Large Language Models as Weak and Strong Labellers. - Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Erika Duriakova; Honghui Du; Neil Hurley; Aonghus Lawlor (ADBIS (Short Papers), 2024)

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. - Dairui Liu; Boming Yang; Honghui Du; Derek Greene; Neil Hurley; Aonghus Lawlor; Ruihai Dong; Irene Li (CIKM, 2024)

ALS Algorithm for Robust and Communication-Efficient Federated Learning. - Neil Hurley; Erika Duriakova; James Geraci; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Aonghus Lawlor (EuroMLSys@EuroSys, 2024)

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. - Diarmuid O'Reilly-Morgan; Elias Z. Tragos; James Geraci; Qinqin Wang; Neil Hurley; Barry Smyth; Aonghus Lawlor (EuroMLSys@EuroSys, 2024)

Simulating Real-World News Consumption: Deep Q-Learning for Diverse User-Centric Slate Recommendations. - Aayush Singha Roy; Elias Z. Tragos; Aonghus Lawlor; Neil Hurley (INRA@RecSys, 2024)

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems. - Zheng Ju; Honghui Du; Elias Z. Tragos; Neil Hurley; Aonghus Lawlor (RecSys, 2024)

Transformers4NewsRec: A Transformer-based News Recommendation Framework. - Dairui Liu; Honghui Du; Boming Yang; Neil Hurley; Aonghus Lawlor; Irene Li; Derek Greene; Ruihai Dong (CoRR, 2024)

DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs. - Zheng Ju; Honghui Du; Elias Z. Tragos; Neil Hurley; Aonghus Lawlor (ECIR (3), 2025)

NodeRec+: A Lightweight Framework for Federated Recommender Systems. - Diarmuid O'Reilly-Morgan; Erika Duriakova; Elias Z. Tragos; Neil Hurley; Aonghus Lawlor (SIGIR, 2025)

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts. - Weipéng Huáng; Qin Li; Yang Xiao; Cheng Qiao; Tie Cai; Junwei Liao; Neil J. Hurley; Guangyuan Piao (CoRR, 2025)