Aonghus Lawlor
Orcid: 0000-0002-6160-4639
According to our database1,
Aonghus Lawlor
authored at least 70 papers
between 2004 and 2024.
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Bibliography
2024
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data.
CoRR, 2024
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach.
CoRR, 2024
Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection.
Comput. Medical Imaging Graph., 2024
Comput. Biol. Medicine, 2024
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners.
Proceedings of the Artificial Intelligence XLI, 2024
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners.
Proceedings of the Case-Based Reasoning Research and Development, 2024
Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the New Trends in Database and Information Systems, 2024
2023
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.
CoRR, 2023
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners.
User Model. User Adapt. Interact., 2022
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.
IEEE Access, 2022
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Proceedings of the Web Engineering - 22nd International Conference, 2022
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners.
Proceedings of the Case-Based Reasoning Research and Development, 2022
2021
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets.
CoRR, 2021
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning.
IEEE Access, 2021
IEEE Access, 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries.
Proceedings of the Case-Based Reasoning Research and Development, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks.
IEEE Access, 2020
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans.
Proceedings of the Case-Based Reasoning Research and Development, 2020
2019
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
2018
Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018
A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
2017
Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017
Proceedings of the Case-Based Reasoning Research and Development, 2017
2016
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016
2015
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015
Proceedings of the User Modeling, Adaptation and Personalization, 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
Proceedings of the Case-Based Reasoning Research and Development, 2015
2014
ACM Trans. Intell. Syst. Technol., 2014
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
2012
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
2004
Cellular Automata with Rare Events; Resolution of an Outstanding Problem in the Bootstrap Percolation Model.
Proceedings of the Cellular Automata, 2004