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Andrea Matic-Flierl

Andrea Matic

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Conference and Workshop Papers

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2023
[c4]
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  - conf/ivs/SchwaigerMRG23
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  - https://dblp.org/rec/conf/ivs/SchwaigerMRG23
Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann:
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. IV 2023: 1-8
[c3]
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Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz:
Benchmarking the Variational Quantum Eigensolver using different quantum hardware. QCE 2023: 518-523
[c2]
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Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl, Florian J. Kiwit, Balthasar Schachtner, Amine Bentellis, Jeanette Miriam Lorenz:
Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks. QCE 2023: 601-610
2022
[c1]
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  - conf/qce/MaticMLSM22
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Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer:
Quantum-classical convolutional neural networks in radiological image classification. QCE 2022: 56-66

Informal and Other Publications

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2023
[i2]
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  - journals/corr/abs-2307-04533
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  - https://dblp.org/rec/journals/corr/abs-2307-04533
Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann:
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. CoRR abs/2307.04533 (2023)
2022
[i1]
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  - journals/corr/abs-2204-12390
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Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer:
Quantum-classical convolutional neural networks in radiological image classification. CoRR abs/2204.12390 (2022)

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