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Fischbach, Andreas
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1

Alternative and facile production pathway towards obtaining..:

Heizmann, Philipp A. ; Nguyen, Hien ; von Holst, Miriam...
RSC Advances.  13 (2023)  7 - p. 4601-4611 , 2023
Link: https://doi.org/10.1039/..
 
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2

Deep learning based 3d reconstruction for phenotyping of wh..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),
Cherepashkin, Vsevolod ; Yildiz, Erenus ; Fischbach, Andreas.. - p. 561-571 , 2023
Link: https://doi.org/10.1109/..
 
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3

Seed size, endosperm and germination variation in sexual an..:

Paczesniak, Dorota ; Pellino, Marco ; Goertzen, Richard...
Frontiers in Plant Science.  13 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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4

Benchmark-Driven Configuration of a Parallel Model-Based Op..:

Rehbach, Frederik ; Zaefferer, Martin ; Fischbach, Andreas..
IEEE Transactions on Evolutionary Computation.  26 (2022)  6 - p. 1365-1379 , 2022
Link: https://doi.org/10.1109/..
 
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5

Cognitive capabilities for the CAAI in cyber-physical produ..:

Strohschein, Jan ; Fischbach, Andreas ; Bunte, Andreas...
The International Journal of Advanced Manufacturing Technology.  115 (2021)  11-12 - p. 3513-3532 , 2021
Link: https://doi.org/10.1007/..
 
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6

The platform GrowScreen-Agar enables identification of phen..:

Nagel, Kerstin A. ; Lenz, Henning ; Kastenholz, Bernd...
Plant Methods.  16 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
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7

CAAI—a cognitive architecture to introduce artificial intel..:

Fischbach, Andreas ; Strohschein, Jan ; Bunte, Andreas...
The International Journal of Advanced Manufacturing Technology.  111 (2020)  1-2 - p. 609-626 , 2020
Link: https://doi.org/10.1007/..
 
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8

Improving the reliability of test functions generators:

Fischbach, Andreas ; Bartz-Beielstein, Thomas
Applied Soft Computing.  92 (2020)  - p. 106315 , 2020
Link: https://doi.org/10.1016/..
 
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9

Germination Detection of Seedlings in Soil: A System, Datas..:

, In: Computer Vision – ECCV 2020 Workshops; Lecture Notes in Computer Science,
Scharr, Hanno ; Bruns, Benjamin ; Fischbach, Andreas... - p. 360-374 , 2020
Link: https://doi.org/10.1007/..
 
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10

Open Issues in Surrogate-Assisted Optimization:

, In: High-Performance Simulation-Based Optimization; Studies in Computational Intelligence,
Stork, Jörg ; Friese, Martina ; Zaefferer, Martin... - p. 225-244 , 2019
Link: https://doi.org/10.1007/..
 
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11

Evaluation of Cognitive Architectures for Cyber-Physical Pr..:

, In: 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),
Bunte, Andreas ; Fischbach, Andreas ; Strohschein, Jan... - p. 729-736 , 2019
Link: https://doi.org/10.1109/..
 
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12

A cognitive architecture for automatic gardening:

Agostini, Alejandro ; Alenyà, Guillem ; Fischbach, Andreas...
Computers and Electronics in Agriculture.  138 (2017)  - p. 69-79 , 2017
Link: https://doi.org/10.1016/..
 
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13

Fast High Resolution Volume Carving for 3D Plant Shoot Reco..:

Scharr, Hanno ; Briese, Christoph ; Embgenbroich, Patrick...
Frontiers in Plant Science.  8 (2017)  - p. , 2017
Link: https://doi.org/10.3389/..
 
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14

Simulation-based test functions for optimization algorithms:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Zaefferer, Martin ; Fischbach, Andreas ; Naujoks, Boris. - p. 905-912 , 2017
Link: https://dl.acm.org/doi/1..
 
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15

Finely-grained annotated datasets for image-based plant phe..:

Minervini, Massimo ; Fischbach, Andreas ; Scharr, Hanno.
Pattern Recognition Letters.  81 (2016)  - p. 80-89 , 2016
Link: https://doi.org/10.1016/..
 
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