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Tim Martin
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2020 – today
- 2024
- [j11]Lopamudra Kundu, Xingqin Lin, Elena Agostini, Vikrama Ditya, Tim Martin:
Hardware Acceleration for Open Radio Access Networks: A Contemporary Overview. IEEE Commun. Mag. 62(9): 160-167 (2024) - [j10]Tim Martin
, Frank Allgöwer
Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation. IEEE Trans. Autom. Control. 69(7): 4261-4274 (2024) - 2023
- [j9]Tim Martin
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annu. Rev. Control. 56: 100911 (2023) - [j8]Tim Martin
Data-Driven Inference on Optimal Input-Output Properties of Polynomial Systems With Focus on Nonlinearity Measures. IEEE Trans. Autom. Control. 68(5): 2832-2847 (2023) - [c7]Stefan Meisenbacher
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. e-Energy 2023: 386-414 - [i10]Tim Martin, Thomas B. Schön, Frank Allgöwer
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. CoRR abs/2306.16042 (2023) - 2022
- [c6]Tim Martin, Frank Allgöwer
Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation. ACC 2022: 1432-1437 - [i9]Tim Martin, Thomas B. Schön, Frank Allgöwer
Gaussian inference for data-driven state-feedback design of nonlinear systems. CoRR abs/2211.05639 (2022) - [i8]Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer:
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. CoRR abs/2212.06797 (2022) - 2021
- [j7]Tim Martin
Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data. IEEE Control. Syst. Lett. 5(4): 1399-1404 (2021) - [c5]Tim Martin, Frank Allgöwer
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. ACC 2021: 3963-3968 - [i7]Tim Martin, Frank Allgöwer:
Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures. CoRR abs/2103.10306 (2021) - [i6]Tim Martin, Frank Allgöwer:
Data-driven system analysis of nonlinear systems using polynomial approximation. CoRR abs/2108.11298 (2021) - [i5]Stefan Meisenbacher, Janik Pinter, Tim Martin, Veit Hagenmeyer, Ralf Mikut:
Concepts for Automated Machine Learning in Smart Grid Applications. CoRR abs/2110.13585 (2021) - 2020
- [j6]Jiali Shang, Jiangui Liu, Valentin Poncos
Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data. Remote. Sens. 12(10): 1551 (2020) - [c4]Tim Martin, Frank Allgöwer
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CDC 2020: 4760-4765 - [i4]Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CoRR abs/2004.11746 (2020) - [i3]Tim Martin, Frank Allgöwer:
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. CoRR abs/2008.03231 (2020)
2010 – 2019
- 2019
- [j5]Jiangui Liu, Jiali Shang, Budong Qian, Ted Huffman, Yinsuo Zhang, Taifeng Dong, Qi Jing, Tim Martin:
Crop Yield Estimation Using Time-Series MODIS Data and the Effects of Cropland Masks in Ontario, Canada. Remote. Sens. 11(20): 2419 (2019) - [c3]Tim Martin, Philipp N. Köhler, Frank Allgöwer
Dissipativity and Economic Model Predictive Control for Optimal Set Operation. ACC 2019: 1020-1026 - [c2]Tim Martin, Frank Allgöwer
Nonlinearity measures for data-driven system analysis and control. CDC 2019: 3605-3610 - 2018
- [c1]Tim Martin:
Implementation of the ATLAS Trigger Within the ATLAS Multi-threaded Software Framework AthenaMT. eScience 2018: 339 - 2017
- [j4]Olaf Deppe, Georg Dorner, Stefan König, Tim Martin, Sven Voigt, Steffen Zimmermann:
MEMS and FOG Technologies for Tactical and Navigation Grade Inertial Sensors - Recent Improvements and Comparison. Sensors 17(3): 567 (2017) - 2010
- [j3]Tim Martin, Krystel R. Huxlin
Spontaneous and Training-Induced Visual Learning in Cortical Blindness: Characteristics and Neural Substrates. Top. Cogn. Sci. 2(2): 306-319 (2010) - [i2]Alexey Melnikov, Tim Martin:
A Protocol for Remotely Managing Sieve Scripts. RFC 5804: 1-49 (2010)
2000 – 2009
- 2009
- [i1]Alexey Melnikov, Barry Leiba, Wolfgang Segmuller, Tim Martin:
Sieve Email Filtering: Extension for Notifications. RFC 5435: 1-17 (2009) - 2008
- [j2]Tim Martin, Jon M. Houck
Interval timers and coupled oscillators both mediate the effect of temporally structured cueing. NeuroImage 40(4): 1798-1806 (2008) - 2005
- [j1]Sandra N. Moses, Tim Martin, Jon M. Houck
The C50m response: Conditioned magnetocerebral activity recorded from the human brain. NeuroImage 27(4): 778-788 (2005)
Coauthor Index
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