Daniela Thyssens

According to our database1, Daniela Thyssens authored at least 9 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Moco: A Learnable Meta Optimizer for Combinatorial Optimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024
Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation.
Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023
Routing Arena: A Benchmark Suite for Neural Routing Solvers.
CoRR, 2023

DeepStay: Stay Region Extraction from Location Trajectories Using Weak Supervision.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Large Neighborhood Search based on Neural Construction Heuristics.
CoRR, 2022

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size.
CoRR, 2022

Learning to Control Local Search for Combinatorial Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Do We Really Need Deep Learning Models for Time Series Forecasting?
CoRR, 2021

2020
Exploring the Influence of Data Aggregation in Parking Prediction.
Proceedings of the Database and Expert Systems Applications, 2020


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