Russell Ainslie

According to our database, Russell Ainslie authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mining Potentially Explanatory Patterns via Partial Solutions.

Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Distributionally robust resource planning under binomial demand intakes.

Ben Black, Russell Ainslie, Trivikram Dokka, Christopher Kirkbride

Eur. J. Oper. Res., 2023

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures.

Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie

Proceedings of the Artificial Intelligence XL, 2023

2022

On Predicting the Work Load for Service Contractors.

Himadri Sikhar Khargharia, Siddhartha Shakya, Sara Sharif, Russell Ainslie, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXIX, 2022

2021

Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations.

Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXVIII, 2021

2020

Investigating RNNs for vehicle volume forecasting in service stations.

Himadri Sikhar Khargharia, Roberto Santana, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper).

Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXVI, 2019

Predicting Demand in IoT Enabled Service Stations.

Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Sara AlShizawi, Gilbert Owusu

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2019

2018

Predicting Fluid Work Demand in Service Organizations Using AI Techniques.

Sara AlShizawi, Siddhartha Shakya, Andrzej Stefan Sluzek, Russell Ainslie, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXV, 2018

Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model.

Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Predicting Service Levels Using Neural Networks.

Russell Ainslie, John A. W. McCall, Sid Shakya, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXIV, 2017

2016

Predictive planning with neural networks.

Russell Ainslie, John A. W. McCall, Siddhartha Shakya, Gilbert Owusu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces.

Russell Ainslie, Siddhartha Shakya, John A. W. McCall, Gilbert Owusu

Proceedings of the Research and Development in Intelligent Systems XXXII, 2015