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Witschen, Linus Matthias, et al. “MUSCAT: MUS-Based Circuit Approximation Technique.” Design, Automation and Test in Europe (DATE).
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Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis. 2022, doi:10.17619/UNIPB/1-1649.
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DOI: 10.17619/UNIPB/1-1649

Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.”10.1007/978-3-030-79025-7_4__Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig et al., Springer Lecture Notes in Computer Science, doi:10.1007/978-3-030-79025-7_4.
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DOI: 10.1007/978-3-030-79025-7_4

Witschen, Linus Matthias, et al. “Proof-Carrying Approximate Circuits.”10.1109/TVLSI.2020.3008061__IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, IEEE, 2020, pp. 2084–88, doi:10.1109/TVLSI.2020.3008061.
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DOI: 10.1109/TVLSI.2020.3008061

Witschen, Linus Matthias, et al. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020).
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Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.”10.1016/j.microrel.2019.04.003__Microelectronics Reliability, vol. 99, Elsevier, 2019, pp. 277–90, doi:10.1016/j.microrel.2019.04.003.
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Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019).
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Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.”10.1145/3299874.3317998__Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, ACM, 2019, doi:10.1145/3299874.3317998.
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DOI: 10.1145/3299874.3317998

Boschmann, Alexander, et al. “Zynq-Based Acceleration of Robust High Density Myoelectric Signal Processing.”10.1016/j.jpdc.2018.07.004__Journal of Parallel and Distributed Computing, vol. 123, Elsevier, 2019, pp. 77–89, doi:10.1016/j.jpdc.2018.07.004.
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Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018).
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Witschen, Linus Matthias, et al. “Making the Case for Proof-Carrying Approximate Circuits.” 4th Workshop On Approximate Computing (WAPCO 2018), 2018.
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Witschen, Linus Matthias. A Framework for the Synthesis of Approximate Circuits. Universität Paderborn, 2017.
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Boschmann, Alexander, et al. “A Zynq-Based Dynamically Reconfigurable High Density Myoelectric Prosthesis Controller.”10.23919/DATE.2017.7927137__Design, Automation and Test in Europe (DATE), 2017, doi:10.23919/DATE.2017.7927137.
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Boschmann, Alexander, et al. “FPGA-Based Acceleration of High Density Myoelectric Signal Processing.”10.1109/reconfig.2015.7393312__2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2016, doi:10.1109/reconfig.2015.7393312.
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DOI: 10.1109/reconfig.2015.7393312