By Associate Professor Oliver Obst

Preprints

Stolzenburg F; Litz S; Michael O; Obst O, 2025, Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power, http://dx.doi.org/10.48550/arxiv.1802.03308

Ghadiri N; Javadi B; Obst O; Pfautsch S, 2024, Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks, http://dx.doi.org/10.48550/arxiv.2410.02335

Weigend FC; Gray E; Obst O; Siegler J, 2022, Benefits and limitations of a new hydraulic performance model, http://dx.doi.org/10.48550/arxiv.2207.14295

Weigend FC; Clarke DC; Obst O; Siegler J, 2021, A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise, http://dx.doi.org/10.48550/arxiv.2108.04510

Kaur R; Ginige JA; Obst O, 2021, A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries, http://dx.doi.org/10.48550/arxiv.2107.10652

Weigend FC; Siegler J; Obst O, 2021, A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete, http://dx.doi.org/10.48550/arxiv.2104.07903

Francis A; Guo Y; Hurley P; Obst O; Park L; Tanaka M; Thomson R; Wang XR, 2020, Projected ICU and Mortuary load due to COVID-19 in Sydney, http://dx.doi.org/10.1101/2020.03.31.20049312

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2017, RoboCupSimData: A RoboCup soccer research dataset, http://dx.doi.org/10.48550/arxiv.1711.01703

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2017, Analysing Soccer Games with Clustering and Conceptors, http://dx.doi.org/10.48550/arxiv.1708.05821

Michael O; Obst O, 2017, BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning, http://dx.doi.org/10.48550/arxiv.1703.04115

Budden DM; Wang P; Obst O; Prokopenko M, 2014, Simulation leagues: Enabling replicable and robust investigation of complex robotic systems, http://dx.doi.org/10.48550/arxiv.1412.5711

Budden D; Wang P; Obst O; Prokopenko M, 2014, Simulation leagues: Analysis of competition formats, http://dx.doi.org/10.48550/arxiv.1403.4023

Obst O; Boedecker J, 2013, Guided Self-Organization of Input-Driven Recurrent Neural Networks, http://dx.doi.org/10.48550/arxiv.1309.1524

Obst O; Trinchi A; Hardin SG; Chadwick M; Cole I; Muster TH; Hoschke N; Ostry D; Price D; Pham KN; Wark T, 2013, Nano-scale reservoir computing, http://dx.doi.org/10.48550/arxiv.1309.1521

Obst O; Boedecker J; Schmidt B; Asada M, 2013, On active information storage in input-driven systems, http://dx.doi.org/10.48550/arxiv.1303.5526

Moore E; Obst O; Prokopenko M; Wang P; Held J, 2012, Gliders2012: Development and Competition Results, http://dx.doi.org/10.48550/arxiv.1211.3882

Back to profile page