Barry Smyth
ScholarGPS® ID: 19577250448055
Affiliation History
Discipline
Computer Science
Top Specialties
Artificial Intelligence | Recommender System | Personalization | Information Retrieval | Adaptation | Machine Learning | Internet | User Interface | Sensor | Collaborative Filtering | Navigation | Data Mining | Television | Web Intelligence | Knowledge Extraction
Metrics Summary
Publication Count
353
Predicted Citations
14,784
Predicted h-index
65
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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EuroSys '24: Nineteenth European Conference on Computer Systems (2024) Athens Greece |
Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running (conference) IUI '24: 29th International Conference on Intelligent User Interfaces (2024) Greenville SC USA |
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners (book chapter) In Case-Based Reasoning Research and Development Springer Nature Switzerland (2024) |
Visual Module Exploration: A Live-User Evaluation (journal article) KI - Künstliche Intelligenz, volume 37, issue 2-4, pages 213-225 (2023). |
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework (conference) Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} (2023) Macau, SAR China |
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations (conference) UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization (2023) Limassol Cyprus |
Estimating the cost of training disruptions on marathon performance (journal article) Frontiers in Sports and Active Living, volume 4 (2023). |
A Machine Learning Approach to Industry Classification in Financial Markets (book chapter) In Artificial Intelligence and Cognitive Science Springer Nature Switzerland (2023) |
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation (book chapter) In Case-Based Reasoning Research and Development Springer Nature Switzerland (2023) |
ITISE 2023 (2023) |
Item Graph Convolution Collaborative Filtering for Inductive Recommendations (book chapter) In Advances in Information Retrieval Springer Nature Switzerland (2023) |
Applied Network Science, volume 7, issue 1 (2022). |
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners (journal article) User Modeling and User-Adapted Interaction, volume 32, issue 5, pages 787-838 (2022). |
Decoupling of Internal and External Workload During a Marathon: An Analysis of Durability in 82,303 Recreational Runners (journal article) Sports Medicine, volume 52, issue 9, pages 2283-2295 (2022). |
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation (conference) UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization (2022) Barcelona Spain |
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting (journal article) Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, issue 10, pages 11604-11612 (2022). |
The fading impact of lockdowns: A data analysis of the effectiveness of Covid-19 travel restrictions during different pandemic phases (journal article) PLOS ONE, volume 17, issue 6, pages e0269774- (2022). |
Algorithmic Bias and Fairness in Case-Based Reasoning (book chapter) In Case-Based Reasoning Research and Development Springer International Publishing (2022) |
“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI) (book chapter) In Case-Based Reasoning Research and Development Springer International Publishing (2022) |
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems (journal article) IEEE Access, volume 10 (2022). |