E-LIB Suche - Ergebnisse für: Schiendorfer, Alexander

1

Impact of Blemish Artefacts on Object Detection Models in A..:

Augustine, Nitin ; Schwab, Maximilian ; Klarmann, Steffen..
Procedia Computer Science. 232 (2024) - p. 616-625 , 2024

Link: https://doi.org/10.1016/..

2

A Recommendation System for CAD Assembly Modeling Based on ..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Gajek, Carola ; Schiendorfer, Alexander ; Reif, Wolfgang - p. 457-473 , 2023

Link: https://doi.org/10.1007/..

3

Inferring material properties from FRP processes via sim-to..:

Stieber, Simon ; Schröter, Niklas ; Fauster, Ewald...
The International Journal of Advanced Manufacturing Technology. 128 (2023) 3-4 - p. 1517-1533 , 2023

Link: https://doi.org/10.1007/..

4

Towards Copeland Optimization in Combinatorial Problems:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Bhavnani, Sidhant ; Schiendorfer, Alexander - p. 34-43 , 2022

Link: https://doi.org/10.1007/..

5

Certainty Groups: A Practical Approach to Distinguish Confi..:

Lodes, Lukas ; Schiendorfer, Alexander
PHM Society European Conference. 7 (2022) 1 - p. 294-305 , 2022

Link: https://doi.org/10.36001..

6

FlowFrontNet: Improving Carbon Composite Manufacturing with..:

, In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track; Lecture Notes in Computer Science,

Stieber, Simon ; Schröter, Niklas ; Schiendorfer, Alexander.. - p. 411-426 , 2021

Link: https://doi.org/10.1007/..

7

Towards Real-time Process Monitoring and Machine Learning f..:

, In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),

Stieber, Simon ; Hoffmann, Alwin ; Schiendorfer, Alexander... - p. 1455-1458 , 2020

Link: https://doi.org/10.1109/..

8

Learning Controllers for Adaptive Spreading of Carbon Fiber..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Krützmann, Julia ; Schiendorfer, Alexander ; Beratz, Sergej... - p. 65-77 , 2020

Link: https://doi.org/10.1007/..

9

Soft Constraints in MiniBrass: Foundations and Applications:

Schiendorfer, Alexander , 2019

Link: https://nbn-resolving.de..

10

Reducing Bias in Preference Aggregation for Multiagent Soft..:

, In: Lecture Notes in Computer Science; Principles and Practice of Constraint Programming,

Schiendorfer, Alexander ; Reif, Wolfgang - p. 510-526 , 2019

Link: https://doi.org/10.1007/..

11

A Chained Neural Network Model for Photovoltaic Power Forec..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Gajek, Carola ; Schiendorfer, Alexander ; Reif, Wolfgang - p. 566-578 , 2019

Link: https://doi.org/10.1007/..

12

MiniBrass: Soft constraints for MiniZinc:

Schiendorfer, Alexander ; Knapp, Alexander ; Anders, Gerrit.
Constraints. 23 (2018) 4 - p. 403-450 , 2018

Link: https://doi.org/10.1007/..

13

Cooperative Resource Allocation in Open Systems of Systems:

Anders, Gerrit ; Schiendorfer, Alexander ; Siefert, Florian..
ACM Transactions on Autonomous and Adaptive Systems. 10 (2015) 2 - p. 1-44 , 2015

Link: https://doi.org/10.1145/..

14

Cooperative Resource Allocation in Open Systems of Systems:

Anders, Gerrit ; Schiendorfer, Alexander ; Siefert, Florian..
ACM Transactions on Autonomous and Adaptive Systems (TAAS). 10 (2015) 2 - p. 1-44 , 2015

Link: https://dl.acm.org/doi/1..

15

Inferring material properties from FRP processes via sim-to..:

Stieber, Simon ; Schröter, Niklas ; Fauster, Ewald...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/107396. , 2023

Link: https://opus.bibliothek...