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Matthias Kahl
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2020 – today
- 2023
- [c14]Teng Jiang, Matthias Kahl, Olaf Brenneisen:
Practical approach for replacement concept in curative system operation. ISGT EUROPE 2023: 1-5 - 2022
- [c13]Tak Ming Wong
, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb:
Deep Optimization Prior for THz Model Parameter Estimation. WACV 2022: 4049-4058 - [i5]Sugandha Doda, Yuanyuan Wang, Matthias Kahl, Eike Jens Hoffmann, Hannes Taubenböck, Xiao Xiang Zhu:
So2Sat POP - A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale. CoRR abs/2204.08524 (2022) - [i4]Matthias Kahl, Daniel Jorde, Hans-Arno Jacobsen:
Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning. CoRR abs/2209.03759 (2022) - 2021
- [j1]Axel Dürrbaum, Matthias Kahl, Matthias Himmelsbach, Andreas Kroll:
Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen. Autom. 69(10): 915-916 (2021) - [i3]Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu:
Generative modeling of spatio-temporal weather patterns with extreme event conditioning. CoRR abs/2104.12469 (2021)
2010 – 2019
- 2019
- [b1]Matthias Kahl:
Machine Learning for Non-Intrusive Load Monitoring. Technical University of Munich, Germany, 2019 - [c12]Tak Ming Wong
, Matthias Kahl
, Peter Haring Bolívar
, Andreas Kolb
, Michael Möller
:
Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction. GCPR 2019: 93-106 - [c11]Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. e-Energy 2019: 373-375 - [c10]Daniel Jorde, Matthias Kahl, Hans-Arno Jacobsen:
MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring. SmartGridComm 2019: 1-6 - [c9]Felix Wittich, Matthias Kahl, Andreas Kroll, Wolfgang Zinn, Thomas Niendorf
:
On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning. SMC 2019: 3255-3260 - [i2]Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. CoRR abs/1904.11580 (2019) - [i1]Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller:
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. CoRR abs/1907.01377 (2019) - 2017
- [c8]Matthias Kahl, Anwar Ul Haq, Thomas Kriechbaumer, Hans-Arno Jacobsen:
A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data. e-Energy 2017: 121-131 - [c7]Thomas Kriechbaumer, Anwar Ul Haq, Matthias Kahl, Hans-Arno Jacobsen:
MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances. e-Energy 2017: 216-221 - [c6]Anwar Ul Haq, Thomas Kriechbaumer, Matthias Kahl, Hans-Arno Jacobsen:
CLEAR - A circuit level electric appliance radar for the electric cabinet. ICIT 2017: 1130-1135 - [c5]Matthias Kahl, Thomas Kriechbaumer, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance classification across multiple high frequency energy datasets. SmartGridComm 2017: 147-152 - 2015
- [c4]Matthias Kahl, Christoph Goebel, Anwar Ul Haq, Thomas Kriechbaumer, Hans-Arno Jacobsen:
NoFaRe: A Non-Intrusive Facility Resource Monitoring System. D-A-CH EI 2015: 59-68 - 2011
- [c3]Matthias Kahl, Thomas Leibfried:
Modellbasierte Regelungsalgorithmen für das Energienetz der Zukunft. GI-Jahrestagung 2011: 348 - 2010
- [c2]Birger Becker, Florian Allerding, Ulrich Reiner, Matthias Kahl, Urban Richter, Daniel Pathmaperuma, Hartmut Schmeck
, Thomas Leibfried:
Decentralized Energy-Management to Control Smart-Home Architectures. ARCS 2010: 150-161
2000 – 2009
- 2007
- [c1]Michael Eichberg, Matthias Kahl, Diptikalyan Saha, Mira Mezini, Klaus Ostermann:
Automatic Incrementalization of Prolog Based Static Analyses. PADL 2007: 109-123
Coauthor Index
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