By Associate Professor Oliver Obst

Journal articles

Stolzenburg F; Litz S; Michael O; Obst O, 2025, 'Efficient time-series approximation with linear recurrent neural networks: architecture learning and predictive power', Neural Computing and Applications, 37, pp. 27027 - 27055, http://dx.doi.org/10.1007/s00521-025-11655-y

Weigend FC; Clarke DC; Obst O; Siegler J, 2023, 'A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise', Annals of Operations Research, 325, pp. 589 - 613, http://dx.doi.org/10.1007/s10479-022-04947-2

Kaur R; Ginige JA; Obst O, 2023, 'AI-based ICD coding and classification approaches using discharge summaries: A systematic literature review', Expert Systems with Applications, 213, http://dx.doi.org/10.1016/j.eswa.2022.118997

Alami R; Biswas J; Cakmak M; Obst O, 2022, 'Preface', Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13132 LNAI, pp. v - vi

Cliff OM; Lizier JT; Wang XR; Wang P; Obst O; Prokopenko M, 2017, 'Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics', Artificial Life, 23, pp. 34 - 57, http://dx.doi.org/10.1162/ARTL_a_00221

Lagerstrom R; Arzhaeva Y; Szul P; Obst O; Power R; Robinson B; Bednarz T, 2016, 'Image classification to support emergency situation awareness', Frontiers Robotics AI, 3, http://dx.doi.org/10.3389/frobt.2016.00054

Prokopenko M; Barnett L; Harré M; Lizier JT; Obst O; Rosalind Wang X, 2015, 'Fisher transfer entropy: Quantifying the gain in transient sensitivity', Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, 471, http://dx.doi.org/10.1098/rspa.2015.0610

Budden DM; Wang P; Obst O; Prokopenko M, 2015, 'RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems', IEEE Robotics and Automation Magazine, 22, pp. 140 - 146, http://dx.doi.org/10.1109/MRA.2015.2446911

Obst O, 2014, 'Distributed Fault Detection in Sensor Networks using a Recurrent Neural Network', Neural Processing Letters, 40, pp. 261 - 273, http://dx.doi.org/10.1007/s11063-013-9327-4

Zeman A; Obst O; Brooks KR, 2014, 'Complex cells decrease errors for the muÜller-lyer illusio a model of the visual ventral stream', Frontiers in Computational Neuroscience, 8, http://dx.doi.org/10.3389/fncom.2014.00112

Obst O, 2014, 'Distributed machine learning and sparse representations', Neurocomputing, 124, pp. 1, http://dx.doi.org/10.1016/j.neucom.2013.03.009

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', Nano Communication Networks, 4, pp. 189 - 196, http://dx.doi.org/10.1016/j.nancom.2013.08.005

Zeman A; Obst O; Brooks KR; Rich AN, 2013, 'The Müller-Lyer Illusion in a Computational Model of Biological Object Recognition', Plos One, 8, http://dx.doi.org/10.1371/journal.pone.0056126

Boedecker J; Obst O; Lizier JT; Mayer NM; Asada M, 2012, 'Information processing in echo state networks at the edge of chaos', Theory in Biosciences, 131, pp. 205 - 213, http://dx.doi.org/10.1007/s12064-011-0146-8

Jurdak R; Wang XR; Obst O; Valencia P, 2011, 'Wireless Sensor Network Anomalies: Diagnosis and Detection Strategies', Intelligent Systems Reference Library, 10, pp. 309 - 325, http://dx.doi.org/10.1007/978-3-642-17931-0_12

Prokopenko M; Lizier JT; Obst O; Wang XR, 2011, 'Relating Fisher information to order parameters', Physical Review E Statistical Nonlinear and Soft Matter Physics, 84, http://dx.doi.org/10.1103/PhysRevE.84.041116

Prokopenko M; Ay N; Obst O; Polani D, 2010, 'Phase transitions in least-effort communications', Journal of Statistical Mechanics Theory and Experiment, 2010, http://dx.doi.org/10.1088/1742-5468/2010/11/P11025

, 2010, 'News', KI - Künstliche Intelligenz, 24, pp. 179 - 183, http://dx.doi.org/10.1007/s13218-010-0039-x

Boedecker J; Obst O; Michael Mayer N; Asada M, 2009, 'Initialization and self-organized optimization of recurrent neural network connectivity', Hfsp Journal, 3, pp. 340 - 349, http://dx.doi.org/10.2976/1.3240502

Aberg J; Agier M; Angelis L; Appice A; Belhajjame K; Berardi M; Bose P; Bulskov H; Capello F; Caruso C; Ceci M; Chen M; Chisalita I; Cholvy L; Colazzo D; Comito C; Congiusta A; Cuppens F; Daemi A; De Marchi F; Diaz E; Dubhashi D; Gammie P; Giacometti A; Giese M; Goutam P; Greco G; Hammiche S; Herault T; Im SH; Ito K; Jiline M; Johannisson K; Jouanot F; Kääriäinen M; Kiritchenko S; Knappe R; Lakhal L; Lambrix P; Lassen T; Laurent A; Laurent D; Lefebvre A; Alcantara JFL; Lindemann G; Loyer Y; Lu J; Mar P; Mastroianni C; Minor M; Monett D; Mundluru D; Obst O; Perego R; Ranta A; Safar B; Saitta L; Juan ES; Schröter K; Sebag M; Shah B; Simon L; Spezzano G; Urbig D; Terney TV; Tsay LS; Viet PL; Waldinger R; Wernhard C; Xie Y; Yan J; Yin K; Martini JLZ; Zhao N; Zhou X; Hacid MS; Murray NV; Ras ZW; Tsumoto S, 2005, 'Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface', Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 3488 LNAI, pp. v - vi

Obst O; Rollmann M, 2005, 'Spark - A generic simulator for physical multi-agent simulations', Computer Systems Science and Engineering, 20, pp. 347 - 356

Lima P; Custódio L; Akin HL; Jacoff A; Kraetzschmar G; Kiat NB; Obst O; Röfer T; Takahashi Y; Zhou C, 2005, 'RoboCup 2004 competitions and symposium: A small kick for robots, a giant score for science', AI Magazine, 26, pp. 36 - 61

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