Michael Murray
Orcid: 0000-0001-8477-2857
According to our database1,
Michael Murray
authored at least 32 papers
between 1992 and 2024.
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Bibliography
2024
Flexible loss functions for binary classification in gradient-boosted decision trees: An application to credit scoring.
Expert Syst. Appl., March, 2024
Trans. Mach. Learn. Res., 2024
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.
J. Am. Medical Informatics Assoc., 2024
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension.
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
J. Am. Medical Informatics Assoc., April, 2023
Low-Effort, Unqualified, and Malicious User Behaviors in Online Human-Robot Interaction Studies.
Proceedings of the 41st ACM International Conference on Design of Communication, 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023
2022
Following Natural Language Instructions for Household Tasks With Landmark Guided Search and Reinforced Pose Adjustment.
IEEE Robotics Autom. Lett., 2022
A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function.
Expert Syst. Appl., 2022
2021
From matrix factorisation to signal propagation in deep learning: algorithms and guarantees.
PhD thesis, 2021
Transjugular intrahepatic portosystemic shunt (TIPS) procedure: an assessment of the quality and readability of online information.
BMC Medical Informatics Decis. Mak., 2021
Activation function design for deep networks: linearity and effective initialisation.
CoRR, 2021
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
The Permuted Striped Block Model and its Factorization - Algorithms with Recovery Guarantees.
CoRR, 2020
2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
An experimental comparison of classification techniques in debt recoveries scoring: Evidence from South Africa's unsecured lending market.
Expert Syst. Appl., 2018
Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding.
CoRR, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
2014
IEEE Secur. Priv., 2014
2005
'Digitally Renewing Democracy'? The Potential for eConsultation in Northern Ireland and the Republic of Ireland.
Proceedings of the Electronic Government, 2005
Reviewing Policy, Practice and Potential of e-Consultation in Northern Ireland and the Republic of Ireland - A European Case Study.
Proceedings of the 5th European Conference on e-Government University of Antwerp, 2005
2000
Proceedings of the 28th annual ACM SIGUCCS conference on User services: Building the future, Richmond, Virginia, USA, October 29, 2000
1999
Proceedings of the 27th Annual ACM SIGUCCS Conference on User Services: Mile High Expectations 1999, 1999
1998
Exchange Your Outlook - A University Migration or: "the outlook's so bright, I gotta wear shades?".
Proceedings of the 26th annual ACM SIGUCCS conference on User services, 1998
1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
Proceedings of the Application Specific Array Processors, 1992