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Alexander Schiendorfer
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2020 – today
- 2024
- [c25]Alexander Schiendorfer, Gheorghe Lisca, Karima Outafraout, Lilia Michailov, Pascal Kätzel, Rudolf Felix:
Gas Grid Copilot: Can a MORL Agent Assist a Dispatcher in Managing a Gas Grid? ECAI 2024: 4443-4446 - [c24]Lukas Lodes, Alexander Schiendorfer:
A Multi-Layer Machine Learning Architecture for Near Real-Time Inference in Manufacturing Based on Apache Kafka and Selective Classification. ETFA 2024: 1-8 - [c23]Julia Ruttmann, Alexander Schiendorfer:
SocialCOP: Reusable Building Blocks for Collective Constraint Optimization. KI 2024: 204-217 - 2022
- [c22]Sidhant Bhavnani, Alexander Schiendorfer:
Towards Copeland Optimization in Combinatorial Problems. CPAIOR 2022: 34-43 - [c21]Carola Gajek, Alexander Schiendorfer, Wolfgang Reif:
A Recommendation System for CAD Assembly Modeling Based on Graph Neural Networks. ECML/PKDD (1) 2022: 457-473 - [c20]Lukas Lodes, Alexander Schiendorfer:
A Deep Learning Bootcamp for Engineering & Management Students. Teaching ML 2022: 32-36 - 2021
- [c19]Jonas Wilfert, Niklas Paprotta, Oliver Kosak, Simon Stieber, Alexander Schiendorfer, Wolfgang Reif:
A Real-Word Realization of the AntNet Routing Algorithm with ActivityBots. ACSOS-C 2021: 289-290 - [c18]Simon Stieber, Niklas Schröter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif:
PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing. ICMLA 2021: 694-697 - [i1]Stefan Böhm, Martin Neumayer, Oliver Kramer, Alexander Schiendorfer, Alois C. Knoll:
Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem. CoRR abs/2110.14535 (2021) - 2020
- [c17]Simon Stieber, Alwin Hoffmann, Alexander Schiendorfer, Wolfgang Reif, Matthias Beyrle, Jan Faber, Michaela Richter, Markus G. R. Sause:
Towards Real-time Process Monitoring and Machine Learning for Manufacturing Composite Structures. ETFA 2020: 1455-1458 - [c16]Julia Krützmann, Alexander Schiendorfer, Sergej Beratz, Judith Moosburger-Will, Wolfgang Reif, Siegfried Horn:
Learning Controllers for Adaptive Spreading of Carbon Fiber Tows. LOD (2) 2020: 65-77 - [c15]Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann, Wolfgang Reif:
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. ECML/PKDD (4) 2020: 411-426 - [c14]Miriam Elia, Carola Gajek, Alexander Schiendorfer, Wolfgang Reif:
An Interactive Web Application for Decision Tree Learning. Teaching ML 2020: 11-16 - [c13]Alexander Schiendorfer, Carola Gajek, Wolfgang Reif:
Turning Software Engineers into Machine Learning Engineers. Teaching ML 2020: 36-41
2010 – 2019
- 2019
- [b1]Alexander Schiendorfer:
Soft Constraints in MiniBrass: Foundations and Applications. University of Augsburg, Germany, 2019 - [c12]Alexander Schiendorfer, Wolfgang Reif:
Reducing Bias in Preference Aggregation for Multiagent Soft Constraint Problems. CP 2019: 510-526 - [c11]Carola Gajek, Alexander Schiendorfer, Wolfgang Reif:
A Chained Neural Network Model for Photovoltaic Power Forecast. LOD 2019: 566-578 - 2018
- [j3]Alexander Schiendorfer, Alexander Knapp, Gerrit Anders, Wolfgang Reif:
MiniBrass: Soft constraints for MiniZinc. Constraints An Int. J. 23(4): 403-450 (2018) - [c10]Julian Hanke, Oliver Kosak, Alexander Schiendorfer, Wolfgang Reif:
Self-Organized Resource Allocation for Reconfigurable Robot Ensembles. SASO 2018: 110-119 - 2016
- [c9]Oliver Kosak, Constantin Wanninger, Andreas Angerer, Alwin Hoffmann, Alexander Schiendorfer, Hella Seebach:
Towards Self-Organizing Swarms of Reconfigurable Self-Aware Robots. FAS*W@SASO/ICCAC 2016: 204-209 - [p1]Gerrit Anders, Florian Siefert, Alexander Schiendorfer, Hella Seebach, Jan-Philipp Steghöfer, Benedikt Eberhardinger, Oliver Kosak, Wolfgang Reif:
Specification and Design of Trust-Based Open Self-Organising Systems. Trustworthy Open Self-Organising Systems 2016: 17-54 - 2015
- [j2]Gerrit Anders, Alexander Schiendorfer, Florian Siefert, Jan-Philipp Steghöfer, Wolfgang Reif:
Cooperative Resource Allocation in Open Systems of Systems. ACM Trans. Auton. Adapt. Syst. 10(2): 11:1-11:44 (2015) - [j1]Alexander Schiendorfer, Gerrit Anders, Jan-Philipp Steghöfer, Wolfgang Reif:
Abstraction of Heterogeneous Supplier Models in Hierarchical Resource Allocation. Trans. Comput. Collect. Intell. 20: 23-53 (2015) - [c8]Alexander Schiendorfer, Alexander Knapp, Jan-Philipp Steghöfer, Gerrit Anders, Florian Siefert, Wolfgang Reif:
Partial Valuation Structures for Qualitative Soft Constraints. Software, Services, and Systems 2015: 115-133 - [c7]Alexander Schiendorfer, Yves Wautelet, Wolfgang Reif:
Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper. ICAART (2) 2015: 614-619 - [c6]Alexander Schiendorfer, Christoph Lassner, Gerrit Anders, Wolfgang Reif, Rainer Lienhart:
Active Learning for Efficient Sampling of Control Models of Collectives. SASO 2015: 51-60 - 2014
- [c5]Gerrit Anders, Alexander Schiendorfer, Jan-Philipp Steghöfer, Wolfgang Reif:
Robust Scheduling in a Self-Organizing Hierarchy of Autonomous Virtual Power Plants. ARCS Workshops 2014: 1-8 - [c4]Alexander Schiendorfer, Jan-Philipp Steghöfer, Wolfgang Reif:
Synthesised Constraint Models for Distributed Energy Management. FedCSIS 2014: 1529-1538 - [c3]Alexander Schiendorfer, Jan-Philipp Steghöfer, Wolfgang Reif:
Synthesis and Abstraction of Constraint Models for Hierarchical Resource Allocation Problems. ICAART (2) 2014: 15-27 - [c2]Alexander Knapp, Alexander Schiendorfer, Wolfgang Reif:
Quality over Quantity in Soft Constraints. ICTAI 2014: 453-460 - 2013
- [c1]Alexander Schiendorfer, Jan-Philipp Steghöfer, Alexander Knapp, Florian Nafz, Wolfgang Reif:
Constraint Relationships for Soft Constraints. SGAI Conf. 2013: 241-255
Coauthor Index
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last updated on 2024-10-31 20:17 CET by the dblp team
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