Yohannes Kassahun

According to our database, Yohannes Kassahun authored at least 29 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A2D2: Audi Autonomous Driving Dataset.

Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, Peter Schuberth

CoRR, 2020

2019

Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving.

Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong

CoRR, 2019

2017

Learning the Elasticity of a Series-Elastic Actuator for Accurate Torque Control.

Bingbin Yu, José de Gea Fernández, Yohannes Kassahun, Vinzenz Bargsten

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016

Cognitive AutonomouS CAtheters Operating in Dynamic Environments.

Emmanuel B. Vander Poorten, Phuong Toan Tran, Alain Devreker, Caspar Gruijthuijsen, Sergio Portolés Diez, Gabrijel Smoljkic, Vule Strbac, Nele Famaey, Dominiek Reynaerts, Jos Vander Sloten, Abraham Temesgen Tibebu, Bingbin Yu, Christian Rauch, Felix Bernard, Yohannes Kassahun, Jan Hendrik Metzen, Stamatia Giannarou, Liang Zhao, Su-Lin Lee, Guang-Zhong Yang, Evangelos B. Mazomenos, Ping-Lin Chang, Danail Stoyanov, Maryna Kvasnytsia, Joris Van Deun, Eva Verhoelst, Mauro M. Sette, Anita Di Iasio, Giovanni Leo, Fabian Hertner, Daniel Scherly, Leandro Chelini, Nicolai Häni, Dejan Seatovic, Benoît Rosa, Herbert De Praetere, Paul Herijgers

J. Medical Robotics Res., 2016

Erratum to: Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.

Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten

Int. J. Comput. Assist. Radiol. Surg., 2016

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.

Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten

Int. J. Comput. Assist. Radiol. Surg., 2016

2014

Automatic classification of epilepsy types using ontology-based and genetics-based machine learning.

Yohannes Kassahun, Roberta Perrone, Elena De Momi, Elmar Berghöfer, Laura Tassi, Maria Paola Canevini, Roberto Spreafico, Giancarlo Ferrigno, Frank Kirchner

Artif. Intell. Medicine, 2014

2013

Learning in compressed space.

Alexander Fabisch, Yohannes Kassahun, Hendrik Wöhrle, Frank Kirchner

Neural Networks, 2013

2012

Learning Parameters of Linear Models in Compressed Parameter Space.

Yohannes Kassahun, Hendrik Wöhrle, Alexander Fabisch, Marc Tabie

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2009

Dynamic motion modelling for legged robots.

Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning complex robot control using evolutionary behavior based systems.

Yohannes Kassahun, Jakob Schwendner, Jose de Gea, Mark Edgington, Frank Kirchner

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Evolutionary Learning of Neural Structures for Visuo-Motor Control.

Nils T. Siebel, Gerald Sommer, Yohannes Kassahun

Proceedings of the Computational Intelligence in Medical Informatics, 2008

Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies.

Malte Römmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner

Proceedings of the Parallel Problem Solving from Nature, 2008

Evolving Neural Networks for Online Reinforcement Learning.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the Parallel Problem Solving from Nature, 2008

EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains.

Yohannes Kassahun, Jose de Gea, Jan Hendrik Metzen, Mark Edgington, Frank Kirchner

Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Towards efficient online reinforcement learning using neuroevolution.

Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Accelerating neuroevolutionary methods using a Kalman filter.

Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Analysis of an evolutionary reinforcement learning method in a multiagent domain.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

A General Framework for Encoding and Evolving Neural Networks.

Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

A Connectionist Architecture for Learning to Play a Simulated Brio Labyrinth Game.

Larbi Abdenebaoui, Elsa Andrea Kirchner, Yohannes Kassahun, Frank Kirchner

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Exploiting Sensorimotor Coordination for Learning to Recognize Objects.

Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner

Proceedings of the IJCAI 2007, 2007

Performance evaluation of EANT in the robocup keepaway benchmark.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

A common genetic encoding for both direct and indirect encodings of networks.

Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Towards a unified approach to learning and adaptation.

Yohannes Kassahun

PhD thesis, 2006

Towards a Multimodal Sensorimotor Coordination Based Object Recognition System.

Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Evolutionary Reinforcement Learning for Simulated Locomotion of a Robot with a Two-link Arm.

Yohannes Kassahun, Gerald Sommer

Proceedings of the Intelligent Autonomous Systems 9, 2006

Learning Neural Networks for Visual Servoing Using Evolutionary Methods.

Nils T. Siebel, Yohannes Kassahun

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005

Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies.

Yohannes Kassahun, Gerald Sommer

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Automatic Neural Robot Controller Design using Evolutionary Acquisition of Neural Topologies.

Yohannes Kassahun, Gerald Sommer

Proceedings of the Autonome Mobile Systeme 2005, 2005