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Schiendorfer, Alexander
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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/..
 
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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/..
 
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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/..
 
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4

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..
 
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5

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/..
 
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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/..
 
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7

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/..
 
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8

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/..
 
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9

Soft Constraints in MiniBrass: Foundations and Applications:

Schiendorfer, Alexander , 2019
Link: https://nbn-resolving.de..
 
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10

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/..
 
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11

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/..
 
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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/..
 
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13

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..
 
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14

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/..
 
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15

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

Augustine, Nitin ; Schwab, Maximilian ; Klarmann, Steffen..
https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/4638.  , 2024
Link: https://opus4.kobv.de/op..
 
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