Alexandra Brintrup

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 76

Top Topics

Quality Prediction

Top Venues

Int. J. Prod. Res.

Publications

Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
Trolley Optimisation for Loading Printed Circuit Board Components. Oper. Res. Forum 5 (3) (2024)
Stefan Schoepf, Jack Foster, Alexandra Brintrup
Potion: Towards Poison Unlearning. CoRR (2024)
Liming Xu, Stephen Mak, Yaniv Proselkov, Alexandra Brintrup
Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels. CoRR (2024)
Alexandra Brintrup, Edward Elson Kosasih, Philipp Schaffer, Ge Zheng, Güven Demirel, Bart L. MacCarthy
Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks. Int. J. Prod. Res. 62 (13) (2024)
Edward Elson Kosasih, Fabrizio Margaroli, Simone Gelli, Ajmal Aziz, Nick Wildgoose, Alexandra Brintrup
Towards knowledge graph reasoning for supply chain risk management using graph neural networks. Int. J. Prod. Res. 62 (15) (2024)
Yaniv Proselkov, Jie Zhang, Liming Xu, Erik Hofmann, Thomas Y. Choi, Dale Rogers, Alexandra Brintrup
Financial ripple effect in complex adaptive supply networks: an agent-based model. Int. J. Prod. Res. 62 (3) (2024)
Jack Foster, Stefan Schoepf, Alexandra Brintrup
Loss-Free Machine Unlearning. CoRR (2024)
Jack Foster, Stefan Schoepf, Alexandra Brintrup
Loss-Free Machine Unlearning. Tiny Papers @ ICLR (2024)
Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar, Myong K. Jeong
Deep learning applications in operations research. Ann. Oper. Res. 339 (1-2) (2024)
Jack Foster, Stefan Schoepf, Alexandra Brintrup
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening. AAAI (2024)
Stefan Schoepf, Jack Foster, Alexandra Brintrup
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening. CoRR (2024)
Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup
Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. CoRR (2024)
Edward Elson Kosasih, Emmanuel Papadakis, George Baryannis, Alexandra Brintrup
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches. Int. J. Prod. Res. 62 (4) (2024)
Jack Foster, Alexandra Brintrup
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization. CoRR (2023)
Stefan Schoepf, Jack Foster, Alexandra Brintrup
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach. CoRR (2023)
Alexandra Brintrup, George Baryannis, Ashutosh Tiwari, Svetan Ratchev, Giovanna Martínez-Arellano, Jatinder Singh
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions. CoRR (2023)
Stefan Schoepf, Stephen Mak, Julian Senoner, Liming Xu, Netland Torbjörn, Alexandra Brintrup
Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem. CoRR (2023)
Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach. CoRR (2023)
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. Comput. Ind. Eng. 176 (2023)
Liming Xu, Stephen Mak, Maria Minaricova, Alexandra Brintrup
On Implementing Autonomous Supply Chains: a Multi-Agent System Approach. CoRR (2023)
Liming Xu, Stephen Mak, Stefan Schoepf, Michael Ostroumov, Alexandra Brintrup
AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction. CoRR (2023)
Ge Zheng, Lingxuan Kong, Alexandra Brintrup
Federated machine learning for privacy preserving, collective supply chain risk prediction. Int. J. Prod. Res. 61 (23) (2023)
Jack Foster, Stefan Schoepf, Alexandra Brintrup
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening. CoRR (2023)
Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing. CoRR (2023)
Liming Xu, Yaniv Proselkov, Stefan Schoepf, David Minarsch, Maria Minaricova, Alexandra Brintrup
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach. CoRR (2023)
Hang Zhou, Maryam Farsi, Andrew Harrison, Ajith Kumar Parlikad, Alexandra Brintrup
Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour. Reliab. Eng. Syst. Saf. 230 (2023)
Bang Xiang Yong, Alexandra Brintrup
Do Autoencoders Need a Bottleneck for Anomaly Detection? IEEE Access 10 (2022)
Angira Sharma, Edward Elson Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu
Digital Twins: State of the art theory and practice, challenges, and open research questions. J. Ind. Inf. Integr. 30 (2022)
Bang Xiang Yong, Alexandra Brintrup
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection. CoRR (2022)
Bang Xiang Yong, Alexandra Brintrup
Do autoencoders need a bottleneck for anomaly detection? CoRR (2022)
Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
Trolley optimisation: An extension of bin packing to load PCB components. CoRR (2022)
Hao Wang, Jiaqi Tao, Tao Peng, Alexandra Brintrup, Edward Elson Kosasih, Yuqian Lu, Renzhong Tang, Luoke Hu
Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation. Int. J. Prod. Res. 60 (13) (2022)
Sanyapong Petchrompo, David W. Coit, Alexandra Brintrup, Anupong Wannakrairot, Ajith Kumar Parlikad
A review of Pareto pruning methods for multi-objective optimization. Comput. Ind. Eng. 167 (2022)
Wangchujun Tang, Tao Peng, Renzhong Tang, Alexandra Brintrup
Distributed Manufacturing for Digital Supply Chain: A Brief Review and Future Challenges. APMS (2) (2022)
Bang Xiang Yong, Alexandra Brintrup
Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift. Appl. Soft Comput. 123 (2022)
Bang Xiang Yong, Alexandra Brintrup
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection. Expert Syst. Appl. 209 (2022)
Hang Zhou, Thiago Augusto Lopes Genez, Alexandra Brintrup, Ajith Kumar Parlikad
A hybrid-learning decomposition algorithm for competing risk identification within fleets of complex engineering systems. Reliab. Eng. Syst. Saf. 217 (2022)
Edward Elson Kosasih, Alexandra Brintrup
A machine learning approach for predicting hidden links in supply chain with graph neural networks. Int. J. Prod. Res. 60 (17) (2022)
Vinod Kumar Chauhan, Muhannad Alomari, James Arney, Ajith Kumar Parlikad, Alexandra Brintrup
Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. CoRR (2022)
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. CoRR (2022)
Vinod Kumar Chauhan, Anna Ledwoch, Alexandra Brintrup, Manuel Herrera, Vaggelis Giannikas, Goran Stojkovic, Duncan C. McFarlane
A network science approach to identify disruptive elements of an airline. CoRR (2022)
Nils Brockmann, Edward Elson Kosasih, Alexandra Brintrup
Supply Chain Link Prediction on Uncertain Knowledge Graph. SIGKDD Explor. 24 (2) (2022)
Hao Wang, Tao Peng, Alexandra Brintrup, Thorsten Wuest, Renzhong Tang
Dynamic Job Shop Scheduling Based on Order Remaining Completion Time Prediction. APMS (2) (2022)
Jie Zhang, Alexandra Brintrup, Anisoara Calinescu, Edward Elson Kosasih, Angira Sharma
Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems. CoRR (2021)
Tim Pearce, Alexandra Brintrup, Jun Zhu
Understanding Softmax Confidence and Uncertainty. CoRR (2021)
Ajmal Aziz, Edward Elson Kosasih, Ryan-Rhys Griffiths, Alexandra Brintrup
Data Considerations in Graph Representation Learning for Supply Chain Networks. CoRR (2021)
Bang Xiang Yong, Alexandra Brintrup
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System. CoRR (2021)
Bang Xiang Yong, Tim Pearce, Alexandra Brintrup
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection. CoRR (2021)
Bang Xiang Yong, Alexandra Brintrup
Coalitional Bayesian Autoencoders - Towards explainable unsupervised deep learning. CoRR (2021)
Edward Elson Kosasih, Alexandra Brintrup
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation. CoRR (2021)
Vinod Kumar Chauhan, Supun Perera, Alexandra Brintrup
The relationship between nested patterns and the ripple effect in complex supply networks. Int. J. Prod. Res. 59 (1) (2021)
Liming Xu, Stephen Mak, Alexandra Brintrup
Will bots take over the supply chain? Revisiting Agent-based supply chain automation. CoRR (2021)
Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup
Bayesian Autoencoders for Drift Detection in Industrial Environments. CoRR (2021)
Siddharth Arora, Alexandra Brintrup
How does the position of firms in the supply chain affect their performance? An empirical study. Appl. Netw. Sci. 6 (1) (2021)
Yasmin Fathy, Mona Jaber, Alexandra Brintrup
Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis. IEEE Access 9 (2021)
Yaniv Proselkov, Manuel Herrera, Ajith Kumar Parlikad, Alexandra Brintrup
Distributed Dynamic Measures of Criticality for Telecommunication Networks. SOHOMA (2020)
Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup
Bayesian Autoencoders for Drift Detection in Industrial Environments. MetroInd4.0&IoT (2020)
Tim Pearce, Andrew Y. K. Foong, Alexandra Brintrup
Structured Weight Priors for Convolutional Neural Networks. CoRR (2020)
Angira Sharma, Edward Elson Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions. CoRR (2020)
Tim Pearce, Felix Leibfried, Alexandra Brintrup
Uncertainty in Neural Networks: Approximately Bayesian Ensembling. AISTATS (2020)
Alexandra Brintrup, Johnson Pak, David Ratiney, Tim Pearce, Pascal Wichmann, Philip Woodall, Duncan C. McFarlane
Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. Int. J. Prod. Res. 58 (11) (2020)
Pascal Wichmann, Alexandra Brintrup, Simon Baker, Philip Woodall, Duncan C. McFarlane
Extracting supply chain maps from news articles using deep neural networks. Int. J. Prod. Res. 58 (17) (2020)
Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. CoRR (2019)
Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup
A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. 85 (2019)
Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI (2019)
Alexandra Brintrup, Supun Perera
Quantifying Outsourcing Risk Arising from Product Interdependencies in Supply Networks. GC (2019)
Bang Xiang Yong, Alexandra Brintrup
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System. SOHOMA (2019)
Anna Ledwoch, Alexandra Brintrup, Jörn Mehnen, Ashutosh Tiwari
Systemic Risk Assessment in Complex Supply Networks. IEEE Syst. J. 12 (2) (2018)
Tim Pearce, Alexandra Brintrup, Mohamed Zaki, Andy Neely
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach. ICML (2018)
Alexandra Brintrup, José Barros, Ashutosh Tiwari
The Nested Structure of Emergent Supply Networks. IEEE Syst. J. 12 (2) (2018)
Alexandra Brintrup, Pascal Wichmann, Philip Woodall, Duncan C. McFarlane, Eric Nicks, William E. Krechel
Predicting Hidden Links in Supply Networks. Complex. 2018 (2018)
Alexandra Brintrup, Alena Puchkova
Multi-objective optimisation of reliable product-plant network configuration. Appl. Netw. Sci. 3 (1) (2018)
Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Uncertainty in Neural Networks: Bayesian Ensembling. CoRR (2018)
Alexandra Brintrup, Yu Wang, Ashutosh Tiwari
Supply Networks as Complex Systems: A Network-Science-Based Characterization. IEEE Syst. J. 11 (4) (2017)
Duncan C. McFarlane, Rengarajan Srinivasan, Alena Puchkova, Alan Thorne, Alexandra Brintrup
A Maturity Framework for Operational Resilience and Its Application to Production Control. SOHOMA (2017)
Alexandra Brintrup, Anna Ledwoch, José Barros
Topological robustness of the global automotive industry. Logist. Res. 9 (1) (2016)
Sebastian Kruse, Alexandra Brintrup, Duncan C. McFarlane, Tomás Sánchez López, Kenneth Owens, William E. Krechel
Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services. IEEE Trans. Comput. Intell. AI Games 5 (1) (2013)
Alexandra Brintrup, Duncan C. McFarlane, Damith Chinthana Ranasinghe, Tomás Sánchez López, Kenneth Owens
Will Intelligent Assets Take Off? Toward Self-Serving Aircraft. IEEE Intell. Syst. 26 (3) (2011)
Alexandra Brintrup
Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain. Comput. Ind. 61 (7) (2010)
Chris Kürschner, Alexandra Brintrup, Paul Bowman, Erica Dubach, Frédéric Thiesse
Implementing RFID in Production Systems: A Case Study from a Confectionery Manufacturer. Pac. Asia J. Assoc. Inf. Syst. 2 (2) (2010)
Alexandra Brintrup, Tao Gong, Andreas Ligtvoet, Chris Davis, Willem van Willigen, Edward Robinson
Distributed Control of Emergence: Local and Global Anti-Component Strategies in Particle Swarms and Ant Colonies. SASO (2009)