Emmanuel Kieffer

Orcid: 0000-0002-5530-8577

According to our database1, Emmanuel Kieffer authored at least 28 papers between 2014 and 2023.

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

Timeline

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Bibliography

2023
Learning private equity recommitment strategies for institutional investors.
Frontiers Artif. Intell., February, 2023

Challenges in Automatic Software Optimization: the Energy Efficiency Case.
CoRR, 2023

2022
Optimizing the Resource and Job Management System of an Academic HPC & Research Computing Facility.
Proceedings of the 21st International Symposium on Parallel and Distributed Computing, 2022

A Local Search for Automatic Parameterization of Distributed Tree Search Algorithms.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Management of an Academic HPC & Research Computing Facility: The ULHPC Experience 2.0.
Proceedings of the HPCCT 2022: 6th High Performance Computing and Cluster Technologies Conference, Fuzhou, China, July 8, 2022

A RNN-Based Hyper-heuristic for Combinatorial Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography.
CoRR, 2021

A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging.
CoRR, 2021

RESIF 3.0: Toward a Flexible & Automated Management of User Software Environment on HPC facility ✱.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Evolutionary Learning of Private Equity Recommitment Strategies.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Proximal Policy Optimisation for a Private Equity Recommitment System.
Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020
Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic.
IEEE Trans. Evol. Comput., 2020

Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage.
J. Comput. Sci., 2020

Evolving a Deep Neural Network Training Time Estimator.
Proceedings of the Optimization and Learning - Third International Conference, 2020

Predicting near-optimal skin distance in Verlet buffer approach for Discrete Element Method.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
Co-evolutionary Hybrid Bi-level Optimization.
PhD thesis, 2019

A new modeling approach for the biobjective exact optimization of satellite payload configuration.
Int. Trans. Oper. Res., 2019

Automatic Software Tuning of Parallel Programs for Energy-Aware Executions.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

A GP Hyper-Heuristic Approach for Generating TSP Heuristics.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

On Fairness Optimization for Cloud Radio Access Networks.
Proceedings of the 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2019

2018
Clustering approaches for visual knowledge exploration in molecular interaction networks.
BMC Bioinform., 2018

A Competitive Approach for Bi-Level Co-Evolution.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Visualizing the Template of a Chaotic Attractor.
Proceedings of the Graph Drawing and Network Visualization - 26th International Symposium, 2018

2017
A new Co-evolutionary Algorithm Based on Constraint Decomposition.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Bayesian optimization approach of general bi-level problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Hybrid mobility model with pheromones for UAV detection task.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Novel Co-evolutionary Approach for Constrained Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014
Multi-objective evolutionary approach for the satellite payload power optimization problem.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014


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