Automatic Incrementalization of Prolog Based Static Analyses. - Michael Eichberg; Matthias Kahl; Diptikalyan Saha; Mira Mezini; Klaus Ostermann (PADL, 2007)

Decentralized Energy-Management to Control Smart-Home Architectures. - Birger Becker; Florian Allerding; Ulrich Reiner; Matthias Kahl; Urban Richter; Daniel Pathmaperuma; Hartmut Schmeck; Thomas Leibfried (ARCS, 2010)

Modellbasierte Regelungsalgorithmen für das Energienetz der Zukunft. - Matthias Kahl; Thomas Leibfried (GI-Jahrestagung, 2011)

NoFaRe: A Non-Intrusive Facility Resource Monitoring System. - Matthias Kahl; Christoph Goebel; Anwar Ul Haq; Thomas Kriechbaumer; Hans-Arno Jacobsen (D-A-CH EI, 2015)

A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data. - Matthias Kahl; Anwar Ul Haq; Thomas Kriechbaumer; Hans-Arno Jacobsen (e-Energy, 2017)

MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances. - Thomas Kriechbaumer; Anwar Ul Haq; Matthias Kahl; Hans-Arno Jacobsen (e-Energy, 2017)

CLEAR - A circuit level electric appliance radar for the electric cabinet. - Anwar Ul Haq; Thomas Kriechbaumer; Matthias Kahl; Hans-Arno Jacobsen (ICIT, 2017)

Appliance classification across multiple high frequency energy datasets. - Matthias Kahl; Thomas Kriechbaumer; Anwar Ul Haq; Hans-Arno Jacobsen (SmartGridComm, 2017)

Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction. - Tak Ming Wong; Matthias Kahl; Peter Haring Bolívar; Andreas Kolb 001; Michael Möller 001 (GCPR, 2019)

Appliance Event Detection - A Multivariate, Supervised Classification Approach. - Matthias Kahl; Thomas Kriechbaumer; Daniel Jorde; Anwar Ul Haq; Hans-Arno Jacobsen (e-Energy, 2019)

MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring. - Daniel Jorde; Matthias Kahl; Hans-Arno Jacobsen (SmartGridComm, 2019)

On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning. - Felix Wittich; Matthias Kahl; Andreas Kroll; Wolfgang Zinn; Thomas Niendorf (SMC, 2019)

Machine Learning for Non-Intrusive Load Monitoring. - Matthias Kahl (2019)

Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen. - Axel Dürrbaum; Matthias Kahl; Matthias Himmelsbach; Andreas Kroll (Autom., 2021)

Generative modeling of spatio-temporal weather patterns with extreme event conditioning. - Konstantin Klemmer; Sudipan Saha; Matthias Kahl; Tianlin Xu; Xiao Xiang Zhu 001 (CoRR, 2021)

Deep Optimization Prior for THz Model Parameter Estimation. - Tak Ming Wong; Hartmut Bauermeister; Matthias Kahl; Peter Haring Bolívar; Michael Möller 001; Andreas Kolb 001 (WACV, 2022)

So2Sat POP - A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale. - Sugandha Doda; Yuanyuan Wang 002; Matthias Kahl; Eike Jens Hoffmann; Hannes Taubenböck; Xiao Xiang Zhu 001 (CoRR, 2022)

Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning. - Matthias Kahl; Daniel Jorde; Hans-Arno Jacobsen (CoRR, 2022)

Practical approach for replacement concept in curative system operation. - Teng Jiang; Matthias Kahl; Olaf Brenneisen (ISGT EUROPE, 2023)

Towards Automated Building Damage Detection in the Gaza Strip: Contextual Analysis Since October 2023. - Matthias Kahl; Zhaiyu Chen (IGARSS, 2024)

A Practical Approach for Circle Power Flow Detection Using the Floyd-Warshall Algorithm. - Teng Jiang; Matthias Kahl; Olaf Brenneisen; Hui Cai; Dirk Westermann; Jonas Lotze (ISGT EUROPE, 2024)

Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data. - Sugandha Doda; Matthias Kahl; Kim Ouan; Ivica Obadic; Yuanyuan Wang 002; Hannes Taubenböck; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)