By Associate Professor Oliver Obst

Books

, 2018, RoboCup 2017: Robot World Cup XXI, Akiyama H; Obst O; Sammut C; Tonidandel F, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-00308-1

Book Chapters

Budden D; Wang P; Obst O; Prokopenko M, 2015, 'Simulation leagues: Analysis of competition formats', in , pp. 183 - 194, http://dx.doi.org/10.1007/978-3-319-18615-3_15

Cliff OM; Lizier JT; Wang XR; Wang P; Obst O; Prokopenko M, 2014, 'Towards quantifying interaction networks in a football match', in , pp. 1 - 12, http://dx.doi.org/10.1007/978-3-662-44468-9_1

Obst O; Boedecker J, 2014, 'Guided Self-Organization of Input-Driven Recurrent Neural Networks', in Emergence, Complexity and Computation, Springer Berlin Heidelberg, pp. 319 - 340, http://dx.doi.org/10.1007/978-3-642-53734-9_11

Hartmann C; Boedecker J; Obst O; Ikemoto S; Asada M, 2013, 'Real-Time Inverse Dynamics Learning for Musculoskeletal Robots Based on Echo State Gaussian Process Regression', in Robotics, The MIT Press, pp. 113 - 120, http://dx.doi.org/10.7551/mitpress/9816.003.0020

Obst O; Polani D; Prokopenko M, 2011, 'Origins of scaling in genetic code', in , pp. 85 - 93, http://dx.doi.org/10.1007/978-3-642-21314-4_11

Mayer NM; Obst O; Yu-Chen C, 2010, 'Time series causality inference using echo state networks', in , pp. 279 - 286, http://dx.doi.org/10.1007/978-3-642-15995-4_35

Dylla F; Ferrein A; Lakemeyer G; Murray J; Obst O; Roefer T; Schiffer S; Stolzenburg F; Visser U; Wagner T, 2008, 'Approaching a formal soccer theory from behaviour specifications in robotic soccer', in Dabnichki P; Baca A (ed.), COMPUTERS IN SPORT, WIT PRESS, pp. 161 - 185, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000295261700008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Obst O, 2006, 'Using a planner for coordination of multiagent team behavior', in , pp. 90 - 100, http://dx.doi.org/10.1007/11678823_6

Obst O, 2004, 'Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments', in RoboCup 2003: Robot Soccer World Cup VII, Springer Nature, pp. 518 - 525, http://dx.doi.org/10.1007/978-3-540-25940-4_47

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

Conference Papers

Patel VA; Guo Y; Park L; Obst O, 2026, 'TAG: Temporal Attention Graph for Heterogeneous Traffic Trajectory Prediction', in Lecture Notes in Computer Science, pp. 226 - 238, http://dx.doi.org/10.1007/978-981-95-4963-4_19

Rodrigues J; Ehinger KA; Obst O; Wang XR, 2025, 'Do Explanations Expose Bias? How Saliency Maps Affect Judgements of Biased Face-Recognition Models', in Frontiers in Artificial Intelligence and Applications, pp. 1229 - 1236, http://dx.doi.org/10.3233/FAIA250936

Purja Pun S; Obst O; Basilakis J; Ginige JA, 2025, 'Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems', in Lecture Notes in Computer Science, pp. 284 - 295, http://dx.doi.org/10.1007/978-981-96-8298-0_23

Jung Shah Y; Guo Y; Park LAF; Obst O, 2025, 'Selective Frame Analysis for Efficient Object Tracking: Balancing Speed with Accuracy in MOT Systems', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 245 - 256, http://dx.doi.org/10.1007/978-981-96-0692-4_20

Purja Pun S; Obst O; Basilakis J; Ginige JA, 2025, 'Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms', in Lecture Notes in Computer Science, pp. 209 - 220, http://dx.doi.org/10.1007/978-981-96-8298-0_17

Ghadiri N; Javadi B; Obst O; Pfautsch S, 2024, 'Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks', in Proceedings 2024 International Conference on Ubiquitous Computing and Communications 23rd International Conference on Computer and Information Technology and 7th International Conference on Data Science and Computational Intelligence Iucc CIT Dsci 2024, pp. 70 - 77, http://dx.doi.org/10.1109/IUCC65928.2024.00012

Qayyumi SW; Park LAF; Obst O, 2024, 'Few-Shot and Transfer Learning with Manifold Distributed Datasets', in Communications in Computer and Information Science, pp. 137 - 149, http://dx.doi.org/10.1007/978-981-99-8696-5_10

Pfautsch S; Wujeska-Klause A; Vanderwal K; Obst O; Javadi B; Thomson R; Kocyigit M; Morrison N; Phansalkar A; Wilmot K; Tovey A; Urich C; Cressall B; Pasanen J; Owen C; Boerema A; Lichtenberg-McGill T; Punshon B; Hamilton S, 2023, 'Identifying Cool Island Effects and their spatial drivers at Sydney Olympic Park, Australia', in Rajagopalan P; Soebarto V; Akbari H (eds.), 6TH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLANDS, UHI 2023, RMIT PUBLISHING, AUSTRALIA, RMIT Univ, Sch Property Construct & Project Management, Melbourne, pp. 314 - 323, presented at 6th International Conference on Countermeasures to Urban Heat Islands (IC2UHI), AUSTRALIA, RMIT Univ, Sch Property Construct & Project Management, Melbourne, 04 December 2023 - 07 December 2023

Sharma S; Fang G; Chen ZH; Obst O; Tissue D; Zou JJ; Liang W, 2023, 'Capsicum Flower Identification for Robotic Pollination in Greenhouses', in Proceedings International Conference on Machine Learning and Cybernetics, pp. 520 - 527, http://dx.doi.org/10.1109/ICMLC58545.2023.10327967

Qayyumi SW; Park LAF; Obst O, 2022, 'Active Learning for kNN Using Instance Impact', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 413 - 426, http://dx.doi.org/10.1007/978-3-031-22695-3_29

Mayer NM; Obst O, 2022, 'Analyzing Echo-state Networks Using Fractal Dimension', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892199

Fitzpatrick S; Park L; Obst O, 2022, 'Measuring Content Preservation in Textual Style Transfer', in Communications in Computer and Information Science, pp. 3 - 14, http://dx.doi.org/10.1007/978-981-19-8746-5_1

Weigend FC; Siegler J; Obst O, 2021, 'A new pathway to approximate energy expenditure and recovery of an athlete', in Gecco 2021 Companion Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pp. 325 - 326, http://dx.doi.org/10.1145/3449726.3459469

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2019, 'RoboCupSimData: Software and Data for Machine Learning from RoboCup Simulation League', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 230 - 237, http://dx.doi.org/10.1007/978-3-030-27544-0_19

Michael O; Obst O; Schmidsberger F; Stolzenburg F, 2018, 'Analysing soccer games with clustering and conceptors', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 120 - 131, http://dx.doi.org/10.1007/978-3-030-00308-1_10

Nakashima T; Mifune S; Henrio J; Obst O; Wang P; Prokopenko M, 2015, 'Kick extraction for reducing uncertainty in RoboCup logs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 622 - 633, http://dx.doi.org/10.1007/978-3-319-20618-9_61

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', in 2013 IEEE International Conference on Communications Workshops Icc 2013, pp. 804 - 808, http://dx.doi.org/10.1109/ICCW.2013.6649343

Zeman A; Brooks K; Obst O, 2013, 'Hierarchical feature representation reduces the Muller-Lyer effect', in PERCEPTION, PION LTD, pp. 223 - 223

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