Alexandra Brintrup

Orcid: 0000-0002-4189-2434

Affiliations:
  • University of Cambridge, Institute for Manufacturing, UK


According to our database1, Alexandra Brintrup authored at least 84 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Trolley Optimisation for Loading Printed Circuit Board Components.
Oper. Res. Forum, September, 2024

Deep learning applications in operations research.
Ann. Oper. Res., August, 2024

Financial ripple effect in complex adaptive supply networks: an agent-based model.
Int. J. Prod. Res., February, 2024

A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches.
Int. J. Prod. Res., February, 2024

Towards autonomous supply chains: Definition, characteristics, conceptual framework, and autonomy levels.
J. Ind. Inf. Integr., 2024

Towards knowledge graph reasoning for supply chain risk management using graph neural networks.
Int. J. Prod. Res., 2024

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks.
Int. J. Prod. Res., 2024

ConDa: Fast Federated Unlearning with Contribution Dampening.
CoRR, 2024

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection.
CoRR, 2024

What if? Causal Machine Learning in Supply Chain Risk Management.
CoRR, 2024

Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models.
CoRR, 2024

Potion: Towards Poison Unlearning.
CoRR, 2024

Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening.
CoRR, 2024

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization.
CoRR, 2024

Loss-Free Machine Unlearning.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated machine learning for privacy preserving, collective supply chain risk prediction.
Int. J. Prod. Res., December, 2023

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing.
Comput. Ind. Eng., February, 2023

Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour.
Reliab. Eng. Syst. Saf., 2023

Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach.
CoRR, 2023

Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing.
CoRR, 2023

On Implementing Autonomous Supply Chains: a Multi-Agent System Approach.
CoRR, 2023

AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction.
CoRR, 2023

Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization.
CoRR, 2023

Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach.
CoRR, 2023

Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach.
CoRR, 2023

Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem.
CoRR, 2023

Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions.
CoRR, 2023

2022
Supply Chain Link Prediction on Uncertain Knowledge Graph.
SIGKDD Explor., 2022

A hybrid-learning decomposition algorithm for competing risk identification within fleets of complex engineering systems.
Reliab. Eng. Syst. Saf., 2022

Digital Twins: State of the art theory and practice, challenges, and open research questions.
J. Ind. Inf. Integr., 2022

Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation.
Int. J. Prod. Res., 2022

A machine learning approach for predicting hidden links in supply chain with graph neural networks.
Int. J. Prod. Res., 2022

Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection.
Expert Syst. Appl., 2022

A network science approach to identify disruptive elements of an airline.
CoRR, 2022

Exploitation of material consolidation trade-offs in a multi-tier complex supply networks.
CoRR, 2022

Trolley optimisation: An extension of bin packing to load PCB components.
CoRR, 2022

A review of Pareto pruning methods for multi-objective optimization.
Comput. Ind. Eng., 2022

Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift.
Appl. Soft Comput., 2022

Do Autoencoders Need a Bottleneck for Anomaly Detection?
IEEE Access, 2022

Dynamic Job Shop Scheduling Based on Order Remaining Completion Time Prediction.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

Distributed Manufacturing for Digital Supply Chain: A Brief Review and Future Challenges.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

2021
The relationship between nested patterns and the ripple effect in complex supply networks.
Int. J. Prod. Res., 2021

Coalitional Bayesian Autoencoders - Towards explainable unsupervised deep learning.
CoRR, 2021

Will bots take over the supply chain? Revisiting Agent-based supply chain automation.
CoRR, 2021

Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection.
CoRR, 2021

Data Considerations in Graph Representation Learning for Supply Chain Networks.
CoRR, 2021

Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems.
CoRR, 2021

Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation.
CoRR, 2021

Understanding Softmax Confidence and Uncertainty.
CoRR, 2021

How does the position of firms in the supply chain affect their performance? An empirical study.
Appl. Netw. Sci., 2021

Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis.
IEEE Access, 2021

2020
Extracting supply chain maps from news articles using deep neural networks.
Int. J. Prod. Res., 2020

Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing.
Int. J. Prod. Res., 2020

Structured Weight Priors for Convolutional Neural Networks.
CoRR, 2020

Distributed Dynamic Measures of Criticality for Telecommunication Networks.
Proceedings of the Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 2020

Bayesian Autoencoders for Drift Detection in Industrial Environments.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

Uncertainty in Neural Networks: Approximately Bayesian Ensembling.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
CoRR, 2019

A generative neural network model for the quality prediction of work in progress products.
Appl. Soft Comput., 2019

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System.
Proceedings of the 9th Workshop on Service Oriented, 2019

Quantifying Outsourcing Risk Arising from Product Interdependencies in Supply Networks.
Proceedings of the First International Conference on Graph Computing, 2019

2018
Systemic Risk Assessment in Complex Supply Networks.
IEEE Syst. J., 2018

The Nested Structure of Emergent Supply Networks.
IEEE Syst. J., 2018

Uncertainty in Neural Networks: Bayesian Ensembling.
CoRR, 2018

Predicting Hidden Links in Supply Networks.
Complex., 2018

Multi-objective optimisation of reliable product-plant network configuration.
Appl. Netw. Sci., 2018

High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Supply Networks as Complex Systems: A Network-Science-Based Characterization.
IEEE Syst. J., 2017

A Maturity Framework for Operational Resilience and Its Application to Production Control.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2017

2016
Topological robustness of the global automotive industry.
Logist. Res., 2016

2013
Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services.
IEEE Trans. Comput. Intell. AI Games, 2013

2011
Will Intelligent Assets Take Off? Toward Self-Serving Aircraft.
IEEE Intell. Syst., 2011

Resource Management in the Internet of Things: Clustering, Synchronisation and Software Agents.
Proceedings of the Architecting the Internet of Things., 2011

2010
Implementing RFID in Production Systems: A Case Study from a Confectionery Manufacturer.
Pac. Asia J. Assoc. Inf. Syst., 2010

Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain.
Comput. Ind., 2010

2009
Distributed Control of Emergence: Local and Global Anti-Component Strategies in Particle Swarms and Ant Colonies.
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009

2008
Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms.
IEEE Trans. Evol. Comput., 2008

2007
An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization.
Comput. Ind., 2007

The effect of user interaction mechanisms in multi-objective IGA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Evaluation of Sequential, Multi-objective, and Parallel Interactive Genetic Algorithms for Multi-objective Floor Plan Optimisation.
Proceedings of the Applications of Evolutionary Computing, 2006

2005
Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Handling Qualitativeness in Evolutionary Multiple Objective Engineering Design Optimisation.
Proceedings of the International Conference on Computational Intelligence, 2004


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