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Matthias Lohrmann
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2020 – today
- 2024
- [i1]Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr:
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning. CoRR abs/2401.04491 (2024) - 2023
- [c6]Liyuan Guo, Matthias Jobst
, Johannes Partzsch
A Low-Power Hardware Accelerator of MFCC Extraction for Keyword Spotting in 22nm FDSOI. AICAS 2023: 1-5 - [c5]Marco Liess, Julian Demicoli, Tobias Tiedje, Matthias Lohrmann, Matthias Nickel, M. Luniak, Dimitrios A. Prousalis
X-MAPE: Extending 6G-Connected Self-Adaptive Systems with Reflexive Actions. NFV-SDN 2023: 163-167
2010 – 2019
- 2016
- [j1]Matthias Lohrmann, Manfred Reichert:
Effective application of process improvement patterns to business processes. Softw. Syst. Model. 15(2): 353-375 (2016) - 2013
- [c4]Matthias Lohrmann, Manfred Reichert:
Demonstrating the Effectiveness of Process Improvement Patterns. BMMDS/EMMSAD 2013: 230-245 - [p1]Matthias Lohrmann, Manfred Reichert:
Understanding Business Process Quality. Business Process Management 2013: 41-73 - 2012
- [c3]Matthias Lohrmann, Manfred Reichert:
Efficacy-Aware Business Process Modeling. OTM Conferences (1) 2012: 38-55 - [c2]Matthias Lohrmann, Alexander Riedel:
Requirements towards Effective Process Mining. OTM Workshops 2012: 64-68 - [c1]Matthias Lohrmann, Manfred Reichert:
Modeling Business Objectives for Business Process Management. S-BPM ONE (Scientific Research) 2012: 106-126
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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