A model of computation in neocortical architecture. - Edgar Körner; Marc-Oliver Gewaltig; Ursula Körner; Andreas Richter; Tobias Rodemann (Neural Networks, 1999)

Two separate processing streams in a cortical-type architecture. - Tobias Rodemann; Edgar Körner (Neurocomputing, 2001)

Information processing with spiking neurons in a cortical architecture framework under the control of an oscillatory signal. - Tobias Rodemann; Edgar Körner (Neurocomputing, 2003)

Modeling the precedence effect for binaural sound source localization in noisy and echoic environments. - Martin Heckmann; Tobias Rodemann; Björn Schölling; Frank Joublin; Christian Goerick (INTERSPEECH, 2006)

Auditory Inspired Binaural Robust Sound Source Localization in Echoic and Noisy Environments. - Martin Heckmann; Tobias Rodemann; Frank Joublin; Christian Goerick; Björn Schölling (IROS, 2006)

Real-time Sound Localization With a Binaural Head-system Using a Biologically-inspired Cue-triple Mapping. - Tobias Rodemann; Martin Heckmann; Frank Joublin; Christian Goerick; Björn Schölling (IROS, 2006)

Continuous and robust saccade adaptation in a real-world environment. - Tobias Rodemann; Frank Joublin; Christian Goerick (Künstliche Intell., 2006)

Towards incremental hierarchical behavior generation for humanoids. - Christian Goerick; Bram Bolder; Herbert Janssen; Michael Gienger; Hisashi Sugiura; Mark Dunn; Inna Mikhailova; Tobias Rodemann; Heiko Wersing; Stephan Kirstein (Humanoids, 2007)

Purely auditory Online-adaptation of auditory-motor maps. - Tobias Rodemann; Kalina Karova; Frank Joublin; Christian Goerick (IROS, 2007)

Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis. - Martin Heckmann; Claudius Gläser; Miguel Vaz; Tobias Rodemann; Frank Joublin; Christian Goerick (IROS, 2008)

Using binaural and spectral cues for azimuth and elevation localization. - Tobias Rodemann; Gökhan Ince; Frank Joublin; Christian Goerick (IROS, 2008)

Interactive online multimodal association for internal concept building in humanoids. - Christian Goerick; Jens Schmüdderich; Bram Bolder; Herbert Janssen; Michael Gienger; Achim Bendig; Martin Heckmann; Tobias Rodemann; Holger Brandl; Xavier Domont; Inna Mikhailova (Humanoids, 2009)

Online adaptation of gaze fixation for a stereo-vergence system with foveated vision. - Cem Karaoguz; Mark Dunn; Tobias Rodemann; Christian Goerick (ICAR, 2009)

Filtering environmental sounds using basic audio cues in robot audition. - Tobias Rodemann; Frank Joublin; Christian Goerick (ICAR, 2009)

Ego noise suppression of a robot using template subtraction. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Yuji Hasegawa; Hiroshi Tsujino; Jun-ichi Imura (IROS, 2009)

Audio proto objects for improved sound localization. - Tobias Rodemann; Frank Joublin; Christian Goerick (IROS, 2009)

Teaching a humanoid robot: Headset-free speech interaction for audio-visual association learning. - Martin Heckmann; Holger Brandl; Jens Schmüdderich; Xavier Domont; Bram Bolder; Inna Mikhailova; Herbert Janssen; Michael Gienger; Achim Bendig; Tobias Rodemann; Mark Dunn; Frank Joublin; et al. (RO-MAN, 2009)

A hybrid framework for ego noise cancellation of a robot. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Yuji Hasegawa; Hiroshi Tsujino; Jun-ichi Imura (ICRA, 2010)

Robust Ego Noise Suppression of a Robot. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Hiroshi Tsujino; Jun-ichi Imura (IEA/AIE (1), 2010)

A robust speech recognition system against the ego noise of a robot. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Hiroshi Tsujino; Jun-ichi Imura (INTERSPEECH, 2010)

Multi-talker speech recognition under ego-motion noise using Missing Feature Theory. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Hiroshi Tsujino; Jun-ichi Imura (IROS, 2010)

An analysis of depth estimation within interaction range. - Cem Karaoguz; Andrew Dankers; Tobias Rodemann; Mark Dunn (IROS, 2010)

A study on distance estimation in binaural sound localization. - Tobias Rodemann (IROS, 2010)

Reward-based learning of optimal cue integration in audio and visual depth estimation. - Cem Karaoguz; Thomas H. Weisswange; Tobias Rodemann; Britta Wrede; Constantin A. Rothkopf (ICAR, 2011)

Spectral cues to source position in robots with arbitrary ear shapes. - Tobias Rodemann (ICAR, 2011)

Learning of audiovisual integration. - Rujiao Yan; Tobias Rodemann; Britta Wrede (ICDL-EPIROB, 2011)

Assessment of single-channel ego noise estimation methods. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Jun-ichi Imura; Keisuke Nakamura; Hirofumi Nakajima (IROS, 2011)

Incremental learning for ego noise estimation of a robot. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Jun-ichi Imura; Keisuke Nakamura; Hirofumi Nakajima (IROS, 2011)

Optimisation of gaze movement for multitasking using rewards. - Cem Karaoguz; Tobias Rodemann; Britta Wrede (IROS, 2011)

Ego noise cancellation of a robot using missing feature masks. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Hiroshi Tsujino; Jun-ichi Imura (Appl. Intell., 2011)

Whole Body Motion Noise Cancellation of a Robot for Improved Automatic Speech Recognition. - Gökhan Ince; Kazuhiro Nakadai; Tobias Rodemann; Hiroshi Tsujino; Jun-ichi Imura (Adv. Robotics, 2011)

Examining the Performance of Evolutionary Many-Objective Optimization Algorithms on a Real-World Application. - Kaname Narukawa; Tobias Rodemann (ICGEC, 2012)

Simple auditory and visual features for human-robot dialog scene analysis. - Rujiao Yan; Tobias Rodemann; Britta Wrede (IROS, 2012)

A comparison of different algorithms for the calculation of dominated hypervolumes. - Christopher Priester; Kaname Narukawa; Tobias Rodemann (GECCO, 2013)

Learning Information Acquisition for Multitasking Scenarios in Dynamic Environments. - Cem Karaoguz; Tobias Rodemann; Britta Wrede; Christian Goerick (IEEE Trans. Auton. Ment. Dev., 2013)

Computational Audiovisual Scene Analysis in Online Adaptation of Audio-Motor Maps. - Rujiao Yan; Tobias Rodemann; Britta Wrede (IEEE Trans. Auton. Ment. Dev., 2013)

Many-Objective Optimization of a Hybrid Car Controller. - Tobias Rodemann; Kaname Narukawa; Michael Fischer 003; Mohammed Awada (EvoApplications, 2015)

Can Evolutionary Algorithms Beat Dynamic Programming for Hybrid Car Control? - Tobias Rodemann; Ken Nishikawa (EvoApplications (1), 2016)

Automatic energy management controller design for hybrid electric vehicles. - Tobias Rodemann; Lars Gräning; Ken Nishikawa (SSCI, 2016)

Using desirability functions for many-objective optimization of a hybrid car controller. - Yuka Ogino; Ryoya Iida; Tobias Rodemann (GECCO (Companion), 2017)

Multi-objective optimization of plug-in electric vehicle charging prices. - Steffen Limmer; Tobias Rodemann (SSCI, 2017)

Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. - Ran Cheng; Tobias Rodemann; Michael Fischer 003; Markus Olhofer; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Industrial Portfolio Management for Many-Objective Optimization Algorithms. - Tobias Rodemann (CEC, 2018)

A Many-Objective Configuration Optimization for Building Energy Management. - Tobias Rodemann (CEC, 2018)

Robust Evolutionary Optimization Based on Coevolution. - Steffen Limmer; Tobias Rodemann (EvoApplications, 2018)

Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (CEC, 2019)

VNS and PBIG as Optimization Cores in a Cooperative Optimization Approach for Distributing Service Points. - Thomas Jatschka; Tobias Rodemann; Günther R. Raidl (EUROCAST (1), 2019)

Simulation-Based Design and Evaluation of a Smart Energy Manager. - Tobias Rodemann; Kai Kitamura (EUROCAST (2), 2019)

A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications. - Thomas Jatschka; Tobias Rodemann; Günther R. Raidl (EvoCOP, 2019)

A Comparison of Different Many-Objective Optimization Algorithms for Energy System Optimization. - Tobias Rodemann (EvoApplications, 2019)

Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. - Hemant Kumar Singh; Tapabrata Ray; Tobias Rodemann; Markus Olhofer (GECCO (Companion), 2019)

Exploiting Similar Behavior of Users in a Cooperative Optimization Approach for Distributing Service Points in Mobility Applications. - Thomas Jatschka; Tobias Rodemann; Günther R. Raidl (LOD, 2019)

Automated Selection of Evolutionary Multi-objective Optimization Algorithms. - Ye Tian 009; Shichen Peng; Tobias Rodemann; Xingyi Zhang 001; Yaochu Jin (SSCI, 2019)

Online intensification of search around solutions of interest for multi/many-objective optimization. - Tapabrata Ray; Hemant Kumar Singh; Ahsanul Habib; Tobias Rodemann; Markus Olhofer (CEC, 2020)

Adversarial Optimization Approach for Development of Robust Controllers. - Mohammed Baraq Mushtaq; Tobias Rodemann (EvoApplications, 2020)

Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid. - Thomas Schmitt; Jens Engel; Tobias Rodemann; Jürgen Adamy (MED, 2020)

Distributing Battery Swapping Stations for Electric Scooters in an Urban Area. - Thomas Jatschka; Fabio Francisco Oberweger; Tobias Rodemann; Günther R. Raidl (OPTIMA, 2020)

Multi-objective model predictive control for microgrids. - Thomas Schmitt; Tobias Rodemann; Jürgen Adamy (Autom., 2020)

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. - Ye Tian 009; Shichen Peng; Xingyi Zhang 001; Tobias Rodemann; Kay Chen Tan; Yaochu Jin (IEEE Trans. Artif. Intell., 2020)

PARODIS: One MPC framework to control them all. Almost. - Thomas Schmitt; Jens Engel; Matthias Hoffmann; Tobias Rodemann (CCTA, 2021)

A General Cooperative Optimization Approach for Distributing Service Points in Mobility Applications. - Thomas Jatschka; Günther R. Raidl; Tobias Rodemann (Algorithms, 2021)

A Large Neighborhood Search for Battery Swapping Station Location Planning for Electric Scooters. - Thomas Jatschka; Matthias Rauscher; Bernhard Kreutzer; Yusuke Okamoto; Hiroaki Kataoka; Tobias Rodemann; Günther R. Raidl (EUROCAST, 2022)

Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. - Hemant Kumar Singh; Tapabrata Ray; Md Juel Rana; Steffen Limmer; Tobias Rodemann; Markus Olhofer (IEEE Access, 2022)

Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. - Tapabrata Ray; Hemant Kumar Singh; Kamrul Hasan Rahi; Tobias Rodemann; Markus Olhofer (Appl. Soft Comput., 2022)

Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (Knowl. Based Syst., 2022)

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann; Guo Yu 001 (IEEE Trans. Cybern., 2022)

Hierarchical Economic Model Predictive Control Approach for a Building Energy Management System With Scenario-Driven EV Charging. - Jens Engel; Thomas Schmitt; Tobias Rodemann; Jürgen Adamy (IEEE Trans. Smart Grid, 2022)

Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. - Qiqi Liu; Ran Cheng; Yaochu Jin; Martin Heiderich; Tobias Rodemann (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Regression-Based Model Error Compensation for a Hierarchical MPC Building Energy Management System. - Thomas Schmitt; Jens Engel; Tobias Rodemann (CCTA, 2023)

A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning. - Thomas Jatschka; Tobias Rodemann; Günther R. Raidl (EvoCOP, 2023)

Hybridizing TPOT with Bayesian Optimization. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (GECCO, 2023)

Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks. - Johannes Varga; Emil Karlsson; Günther R. Raidl; Elina Rönnberg; Fredrik Lindsten; Tobias Rodemann (LOD (1), 2023)

Interactive Job Scheduling with Partially Known Personnel Availabilities. - Johannes Varga; Günther R. Raidl; Elina Rönnberg; Tobias Rodemann (OLA, 2023)

Implicit Incorporation of Heuristics in MPC-Based Control of a Hydrogen Plant. - Thomas Schmitt; Jens Engel; Martin Kopp; Tobias Rodemann (CoRR, 2023)

Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Surrogate-Assisted Many-Objective Optimization of Building Energy Management. - Qiqi Liu; Felix Lanfermann; Tobias Rodemann; Markus Olhofer; Yaochu Jin (IEEE Comput. Intell. Mag., 2023)

Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. - Alistair Benford; Markus Olhofer; Tobias Rodemann; Per Kristian Lehre (CEC, 2024)

How Digital Twins Can Help to Accelerate the Transition to a Carbon-Neutral System. - Tobias Rodemann; Christiane Attig (EUROCAST (3), 2024)

A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem. - Laurenz Tomandl; Thomas Jatschka; Günther R. Raidl; Tobias Rodemann (EUROCAST (1), 2024)

Selecting User Queries in Interactive Job Scheduling. - Johannes Varga; Günther R. Raidl; Tobias Rodemann (EUROCAST (1), 2024)

A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (EvoApplications@EvoStar, 2024)

Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (GECCO, 2024)

Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System. - Jens Engel; Thomas Schmitt; Tobias Rodemann; Jürgen Adamy (ISGT EUROPE, 2024)

Scheduling jobs using queries to interactively learn human availability times. - Johannes Varga; Günther R. Raidl; Elina Rönnberg; Tobias Rodemann (Comput. Oper. Res., 2024)

Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem. - William Huang; Yi Mei 001; Günther R. Raidl; Fangfang Zhang 003; Laurenz Tomandl; Steffen Limmer; Mengjie Zhang 001; Tobias Rodemann (CEC, 2025)

Real Application Challenges in Evolutionary Optimization? People! - Tobias Rodemann; Christiane Attig (EvoApplications (2), 2025)

A systematic review of explainability in computational intelligence for optimization. - José Almeida 002; João P. Soares; Fernando Lezama; Steffen Limmer; Tobias Rodemann; Zita Vale (Comput. Sci. Rev., 2025)

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning. - Jens Engel; Andrea Castellani; Patricia Wollstadt; Felix Lanfermann; Thomas Schmitt; Sebastian Schmitt; Lydia Fischer; Steffen Limmer; David Luttropp; Florian Jomrich; René Unger; Tobias Rodemann (CoRR, 2025)

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection. - Andrea Castellani; Zacharias Papadovasilakis; Giorgos Papoutsoglou; Mary Cole; Brian Bautsch; Tobias Rodemann; Ioannis Tsamardinos; Angela Harden (CoRR, 2025)

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow. - George Paterakis; Andrea Castellani; George Papoutsoglou; Tobias Rodemann; Ioannis Tsamardinos (CoRR, 2025)