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Daniela Thyssens
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2020 – today
- 2024
- [c4]Wilson Sentanoe, Sreyashi Saha, Yasas Diyanananda, Aqsa Manzoor, Buddhika Dasanayake, Daniela Thyssens:
Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation. KI 2024: 232-245 - [i7]Tim Dernedde, Daniela Thyssens, Sören Dittrich, Maximilian Stubbemann, Lars Schmidt-Thieme:
Moco: A Learnable Meta Optimizer for Combinatorial Optimization. CoRR abs/2402.04915 (2024) - 2023
- [c3]Christian Löwens, Daniela Thyssens, Emma Andersson, Christina Jenkins, Lars Schmidt-Thieme:
DeepStay: Stay Region Extraction from Location Trajectories Using Weak Supervision. ITSC 2023: 3742-3748 - [i6]Christian Löwens, Daniela Thyssens, Emma Andersson, Christina Jenkins, Lars Schmidt-Thieme:
DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision. CoRR abs/2306.06068 (2023) - [i5]Daniela Thyssens, Tim Dernedde, Jonas K. Falkner, Lars Schmidt-Thieme:
Routing Arena: A Benchmark Suite for Neural Routing Solvers. CoRR abs/2310.04140 (2023) - 2022
- [c2]Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme:
Learning to Control Local Search for Combinatorial Optimization. ECML/PKDD (5) 2022: 361-376 - [i4]Daniela Thyssens, Jonas K. Falkner, Lars Schmidt-Thieme:
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size. CoRR abs/2201.01529 (2022) - [i3]Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme:
Large Neighborhood Search based on Neural Construction Heuristics. CoRR abs/2205.00772 (2022) - [i2]Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme:
Learning to Control Local Search for Combinatorial Optimization. CoRR abs/2206.13181 (2022) - 2021
- [i1]Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa:
Do We Really Need Deep Learning Models for Time Series Forecasting? CoRR abs/2101.02118 (2021) - 2020
- [c1]Shereen Elsayed, Daniela Thyssens, Shabanaz Chamurally, Arslan Tariq, Hadi Samer Jomaa:
Exploring the Influence of Data Aggregation in Parking Prediction. DEXA Workshops 2020: 85-95
Coauthor Index
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last updated on 2024-09-06 00:40 CEST by the dblp team
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