Barry Smyth

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 102

Top Venues

Publications

Rian Dolphin, Barry Smyth, Ruihai Dong
Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR (2024)
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)
Heleen Muijlwijk, Martijn C. Willemsen, Barry Smyth, Wijnand A. IJsselsteijn
Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running. IUI (2024)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. ICCBR (2024)
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)
Rian Dolphin, Barry Smyth, Ruihai Dong
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR (2023)
Rian Dolphin, Barry Smyth, Ruihai Dong
Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR (2023)
Eoghan Cunningham, Derek Greene, Barry Smyth
The Role of Document Embedding in Research Paper Recommender Systems: To Breakdown or to Bolster Disciplinary Borders? CoRR (2023)
Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR (2023)
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)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. UMAP (2023)
Nina Hagemann, Michael P. O'Mahony, Barry Smyth
Visual Module Exploration: A Live-User Evaluation. Künstliche Intell. 37 (2) (2023)
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)
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 (2022)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI (2022)
Eoghan Cunningham, Barry Smyth, Derek Greene
Author multidisciplinarity and disciplinary roles in field of study networks. Appl. Netw. Sci. 7 (1) (2022)
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)
Barry Smyth, Aonghus Lawlor, Jakim Berndsen, Ciara Feely
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Model. User Adapt. Interact. 32 (5) (2022)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR (2022)
Rian Dolphin, Barry Smyth, Ruihai Dong
A Machine Learning Approach to Industry Classification in Financial Markets. AICS (2022)
Eoghan Cunningham, Barry Smyth, Derek Greene
Author Multidisciplinarity and Disciplinary Roles in Field of Study Networks. CoRR (2022)
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)
Rian Dolphin, Barry Smyth, Ruihai Dong
Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR (2022)
William Blanzeisky, Barry Smyth, Pádraig Cunningham
Algorithmic Bias and Fairness in Case-Based Reasoning. ICCBR (2022)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners. ICCBR (2022)
Barry Smyth, Mark T. Keane
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR (2022)
Greta Warren, Barry Smyth, Mark T. Keane
"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). ICCBR (2022)
Barry Smyth
Estimating the Fatality Burden of SARS-CoV2. Digit. Gov. Res. Pract. 2 (2) (2021)
Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR (2021)
Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR (2021)
Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR (2021)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. ICCBR (2021)
Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. CoRR (2021)
Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong
Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR (2021)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR (2021)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR (2021)
Mansura A. Khan, Khalil Muhammad, Barry Smyth, David Coyle
Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits. CoRR (2021)
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR (2021)
Nina Hagemann, Michael P. O'Mahony, Barry Smyth
A Live-User Evaluation of a Visual Module Recommender and Advisory System for Undergraduate Students. SGAI Conf. (2021)
Eoghan Cunningham, Barry Smyth, Derek Greene
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research. CoRR (2021)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. CoRR (2021)
Mansura A. Khan, Barry Smyth, David Coyle
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach. J. Intell. Inf. Syst. 57 (2) (2021)
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 (2021)
Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData (2021)
Barry Smyth
Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 Pandemic. Frontiers Digit. Health 3 (2021)
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI (2021)
Barry Smyth, Mark T. Keane
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR (2021)
Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) (2021)
Eoghan Cunningham, Barry Smyth, Derek Greene
Navigating Multidisciplinary Research Using Field of Study Networks. COMPLEX NETWORKS (2021)
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)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans. ICCBR (2020)
Mark T. Keane, Barry Smyth
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR (2020)
Jakim Berndsen, Barry Smyth, Aonghus Lawlor
Fit to Run: Personalised Recommendations for Marathon Training. RecSys (2020)
Jakim Berndsen, Barry Smyth, Aonghus Lawlor
A Collaborative Filtering Approach to Successfully Completing The Marathon. ICMLA (2020)
Jakim Berndsen, Barry Smyth, Aonghus Lawlor
Mining Marathon Training Data to Generate Useful User Profiles. MLSA@PKDD/ECML (2020)
Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM (2020)
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)
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. RecSys (2020)
Mark T. Keane, Barry Smyth
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). ICCBR (2020)
Barry Smyth, Martijn C. Willemsen
Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. ICCBR (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR (2020)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW (2020)
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)
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 (2020)
Barry Smyth
Lockdowns & Rebounds: A Data Analysis of What Happens Next. Digit. Gov. Res. Pract. 1 (4) (2020)
Nina Hagemann, Michael P. O'Mahony, Barry Smyth
Visualising module dependencies in academic recommendations. IUI Companion (2019)
Joeran Beel, Barry Smyth, Andrew Collins
RARD II: The 94 Million Related-Article Recommendation Dataset. AMIR@ECIR (2019)
Cathal McConnell, Barry Smyth
Going Further with Cases: Using Case-Based Reasoning to Recommend Pacing Strategies for Ultra-Marathon Runners. ICCBR (2019)
Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. HealthRecSys@RecSys (2019)
Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. CoRR (2019)
Jakim Berndsen, Barry Smyth, Aonghus Lawlor
Pace my race: recommendations for marathon running. RecSys (2019)
Barry Smyth
A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research. ICCBR (2019)
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)
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)
Barry Smyth
Recommender Systems: A Healthy Obsession. AAAI (2019)
Yichao Lu, Ruihai Dong, Barry Smyth
Why I like it: multi-task learning for recommendation and explanation. RecSys (2018)
Yichao Lu, Ruihai Dong, Barry Smyth
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW (2018)
Barry Smyth, Padraig Cunningham
Marathon Race Planning: A Case-Based Reasoning Approach. IJCAI (2018)
Nava Tintarev, Shahin Rostami, Barry Smyth
Knowing the unknown: visualising consumption blind-spots in recommender systems. SAC (2018)
Yichao Lu, Ruihai Dong, Barry Smyth
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion (2018)
Jöran Beel, Barry Smyth, Andrew Collins
RARD II: The 2nd Related-Article Recommendation Dataset. CoRR (2018)
Nina Hagemann, Michael P. O'Mahony, Barry Smyth
Module Advisor: Guiding Students with Recommendations. ITS (2018)
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews. FLAIRS Conference (2018)
Barry Smyth
Running Recommendations: Personalisation Opportunities for Health and Fitness. UMAP (2018)
Nina Hagemann, Michael P. O'Mahony, Barry Smyth
Module advisor: a hybrid recommender system for elective module exploration. RecSys (2018)
Barry Smyth, Pádraig Cunningham
An Analysis of Case Representations for Marathon Race Prediction and Planning. ICCBR (2018)
Barry Smyth, Pádraig Cunningham
Running with Cases: A CBR Approach to Running Your Best Marathon. ICCBR (2017)
Ruihai Dong, Barry Smyth
User-Based Opinion-based Recommendation. IJCAI (2017)
Severin Gsponer, Barry Smyth, Georgiana Ifrim
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) (2017)
Barry Smyth, Pádraig Cunningham
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best. RecSys (2017)
Jakim Berndsen, Aonghus Lawlor, Barry Smyth
Running with Recommendation. HealthRecSys@RecSys (2017)
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
On the Pros and Cons of Explanation-Based Ranking. ICCBR (2017)
Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth
Combining similarity and sentiment in opinion mining for product recommendation. J. Intell. Inf. Syst. 46 (2) (2016)
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
Explanation-based Ranking in Opinionated Recommender Systems. AICS (2016)
Yichao Lu, Ruihai Dong, Barry Smyth
Context-Aware Sentiment Detection from Ratings. SGAI Conf. (2016)
Barry Smyth, Rachael Rafter, Sam Banks
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay. UMAP (2016)
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
On the Use of Opinionated Explanations to Rank and Justify Recommendations. FLAIRS Conference (2016)
Ruihai Dong, Barry Smyth
Personalized Opinion-Based Recommendation. ICCBR (2016)
Ruihai Dong, Barry Smyth
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Barry Smyth