The C50m response: Conditioned magnetocerebral activity recorded from the human brain. - Sandra N. Moses; Tim Martin; Jon M. Houck; Risto J. Ilmoniemi; Claudia D. Tesche (NeuroImage, 2005)

Interval timers and coupled oscillators both mediate the effect of temporally structured cueing. - Tim Martin; Jon M. Houck; Dubravko Kicic; Claudia D. Tesche (NeuroImage, 2008)

Sieve Email Filtering: Extension for Notifications. - Alexey Melnikov 001; Barry Leiba; Wolfgang Segmuller; Tim Martin (RFC, 2009)

Spontaneous and Training-Induced Visual Learning in Cortical Blindness: Characteristics and Neural Substrates. - Tim Martin; Krystel R. Huxlin (Top. Cogn. Sci., 2010)

A Protocol for Remotely Managing Sieve Scripts. - Alexey Melnikov 001; Tim Martin (RFC, 2010)

MEMS and FOG Technologies for Tactical and Navigation Grade Inertial Sensors - Recent Improvements and Comparison. - Olaf Deppe; Georg Dorner; Stefan König; Tim Martin; Sven Voigt; Steffen Zimmermann (Sensors, 2017)

Implementation of the ATLAS Trigger Within the ATLAS Multi-threaded Software Framework AthenaMT. - Tim Martin (eScience, 2018)

Dissipativity and Economic Model Predictive Control for Optimal Set Operation. - Tim Martin; Philipp N. Köhler; Frank Allgöwer (ACC, 2019)

Nonlinearity measures for data-driven system analysis and control. - Tim Martin; Frank Allgöwer (CDC, 2019)

Crop Yield Estimation Using Time-Series MODIS Data and the Effects of Cropland Masks in Ontario, Canada. - Jiangui Liu; Jiali Shang; Budong Qian; Ted Huffman; Yinsuo Zhang; Taifeng Dong; Qi Jing; Tim Martin (Remote. Sens., 2019)

Iterative data-driven inference of nonlinearity measures via successive graph approximation. - Tim Martin; Frank Allgöwer (CDC, 2020)

Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data. - Jiali Shang; Jiangui Liu; Valentin Poncos; Xiaoyuan Geng; Budong Qian; Qihao Chen; Taifeng Dong; Dan MacDonald; Tim Martin; John M. Kovacs; Daniel F. Walters (Remote. Sens., 2020)

Concepts for Automated Machine Learning in Smart Grid Applications. - Stefan Meisenbacher; Janik Pinter; Tim Martin; Veit Hagenmeyer; Ralf Mikut (CoRR, 2021)

Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data. - Tim Martin; Frank Allgöwer (IEEE Control. Syst. Lett., 2021)

Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation. - Tim Martin; Frank Allgöwer (ACC, 2022)

Gaussian inference for data-driven state-feedback design of nonlinear systems. - Tim Martin; Thomas B. Schön; Frank Allgöwer (CoRR, 2022)

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. - Stefan Meisenbacher; Benedikt Heidrich; Tim Martin; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2023)

Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. - Tim Martin; Thomas B. Schön; Frank Allgöwer (Annu. Rev. Control., 2023)

Data-Driven Inference on Optimal Input-Output Properties of Polynomial Systems With Focus on Nonlinearity Measures. - Tim Martin; Frank Allgöwer (IEEE Trans. Autom. Control., 2023)

On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching. - Stefan Meisenbacher; Silas Aaron Selzer; Mehdi Dado; Maximilian Beichter; Tim Martin; Markus Zdrallek; Peter Bretschneider; Veit Hagenmeyer; Ralf Mikut (CoRR, 2024)

Online Data-Driven Control of Nonlinear Systems Using Semidefinite Programming. - Augusto Bozza; Tim Martin; Graziana Cavone; Raffaele Carli; Mariagrazia Dotoli; Frank Allgöwer (IEEE Control. Syst. Lett., 2024)

Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation. - Tim Martin; Frank Allgöwer (IEEE Trans. Autom. Control., 2024)

Hardware Acceleration for Open Radio Access Networks: A Contemporary Overview. - Lopamudra Kundu; Xingqin Lin; Elena Agostini; Vikrama Ditya; Tim Martin (IEEE Commun. Mag., 2024)