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Paulo da Costa
Paulo da Costa
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Title
Cited by
Cited by
Year
Remaining useful lifetime prediction via deep domain adaptation
PRO da Costa, A Akçay, Y Zhang, U Kaymak
Reliability Engineering & System Safety 195, 106682, 2020
2352020
Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning
P da Costa, J Rhuggenaath, Y Zhang, A Akcay
Asian Conference on Machine Learning, 465-480, 2020
1302020
A genetic algorithm for a green vehicle routing problem
PRO da Costa, S Mauceri, P Carroll, F Pallonetto
Electronic notes in discrete mathematics 64, 65-74, 2018
972018
Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation
PRDO Da Costa, A Akcay, Y Zhang, U Kaymak
International journal of prognostics and health management 10 (4), 2019
422019
Learning 2-opt heuristics for routing problems via deep reinforcement learning
P da Costa, J Rhuggenaath, Y Zhang, A Akcay, U Kaymak
SN Computer Science 2, 1-16, 2021
292021
Machine learning for data-driven last-mile delivery optimization
SS Özarık, P da Costa, AM Florio
Transportation Science 58 (1), 27-44, 2024
6*2024
Machine learning based simulation optimisation for trailer management
D Rijnen, J Rhuggenaath, PRO da Costa, Y Zhang
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
52019
Policies for the dynamic traveling maintainer problem with alerts
P da Costa, P Verleijsdonk, S Voorberg, A Akcay, S Kapodistria, ...
European Journal of Operational Research 305 (3), 1141-1152, 2023
42023
The first AI4TSP competition: Learning to solve stochastic routing problems
Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ...
Artificial Intelligence 319, 103918, 2023
32023
Learning 2-opt local search from heuristics as expert demonstrations
P Da Costa, Y Zhang, A Akcay, U Kaymak
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
A machine learning framework for last-mile delivery optimization
A Florio, P Da Costa, SS Özarik
Technical Proceeding of the 2021 Last Mile Routing Research Challenge, 2021
32021
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model
J Verheugd, PRO da Costa, RR Afshar, Y Zhang, S Boersma
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
32020
Dynamic pricing using thompson sampling with fuzzy events
J Rhuggenaath, PR de Oliveira da Costa, Y Zhang, A Akcay, U Kaymak
Information Processing and Management of Uncertainty in Knowledge-Based …, 2020
32020
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand
J Rhuggenaath, PRO da Costa, A Akcay, Y Zhang, U Kaymak
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
32019
Low-regret algorithms for strategic buyers with unknown valuations in repeated posted-price auctions
J Rhuggenaath, PR Oliveira da Costa, Y Zhang, A Akcay, U Kaymak
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
22021
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ...
arXiv preprint arXiv:2201.10453, 2022
12022
Data-driven prognostics and logistics optimisation: A deep learning journey
PRO da Costa
2022
Learning 2-opt Local Search for the Traveling Salesman Problem
PRO da Costa, J Rhuggenaath, Y Zhang, A Akcay
BNAIC/BeneLearn 2020, 390, 2020
2020
Data-driven policy on feasibility determination for the train shunting problem
PR de Oliveira da Costa, J Rhuggenaath, Y Zhang, A Akcay, WJ Lee, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
2020
AI for TSP Competition Problem statement
L Bliek, T Catshoek, PO da Costa, RR Afshar, D Vos, S Verwer, Y Zhang
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