Daniela Thyssens

According to our database, Daniela Thyssens authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Moco: A Learnable Meta Optimizer for Combinatorial Optimization.

Tim Dernedde, Daniela Thyssens, Sören Dittrich, Maximilian Stubbemann, Lars Schmidt-Thieme

CoRR, 2024

Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation.

Wilson Sentanoe, Sreyashi Saha, Yasas Diyanananda, Aqsa Manzoor, Buddhika Dasanayake, Daniela Thyssens

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023

Routing Arena: A Benchmark Suite for Neural Routing Solvers.

Daniela Thyssens, Tim Dernedde, Jonas K. Falkner, Lars Schmidt-Thieme

CoRR, 2023

DeepStay: Stay Region Extraction from Location Trajectories Using Weak Supervision.

Christian Löwens, Daniela Thyssens, Emma Andersson, Christina Jenkins, Lars Schmidt-Thieme

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Large Neighborhood Search based on Neural Construction Heuristics.

Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme

CoRR, 2022

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

Daniela Thyssens, Jonas K. Falkner, Lars Schmidt-Thieme

CoRR, 2022

Learning to Control Local Search for Combinatorial Optimization.

Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

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

Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa

CoRR, 2021

2020

Exploring the Influence of Data Aggregation in Parking Prediction.

Shereen Elsayed, Daniela Thyssens, Shabanaz Chamurally, Arslan Tariq, Hadi Samer Jomaa

Proceedings of the Database and Expert Systems Applications, 2020