Yohannes Kassahun
Cited by
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Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Y Kassahun, B Yu, AT Tibebu, D Stoyanov, S Giannarou, JH Metzen, ...
International journal of computer assisted radiology and surgery 11 (4), 553-568, 2016
Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies.
Y Kassahun, G Sommer
ESANN, 259-266, 2005
Automatic classification of epilepsy types using ontology-based and genetics-based machine learning
Y Kassahun, R Perrone, E De Momi, E Berghöfer, L Tassi, MP Canevini, ...
Artificial intelligence in medicine 61 (2), 79-88, 2014
Learning neural networks for visual servoing using evolutionary methods
NT Siebel, Y Kassahun
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 6-6, 2006
A common genetic encoding for both direct and indirect encodings of networks
Y Kassahun, M Edgington, JH Metzen, G Sommer, F Kirchner
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
Towards a unified approach to learning and adaptation
Y Kassahun
Analysis of an evolutionary reinforcement learning method in a multiagent domain
JH Metzen, M Edgington, Y Kassahun, F Kirchner
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
A2D2: AEV autonomous driving dataset
J Geyer, Y Kassahun, M Mahmudi, X Ricou, R Durgesh, AS Chung, ...
Note: http://www. a2d2. audi Cited by 1 (4), 2019
Learning in compressed space
A Fabisch, Y Kassahun, H Wöhrle, F Kirchner
Neural networks 42, 83-93, 2013
Accelerating neuroevolutionary methods using a Kalman filter
Y Kassahun, J de Gea, M Edgington, JH Metzen, F Kirchner
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
Performance evaluation of EANT in the robocup keepaway benchmark
JH Metzen, M Edgington, Y Kassahun, F Kirchner
Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007
Evolution of neural networks through incremental acquisition of neural structures
Y Kassahun, G Sommer
Inst. für Informatik u. Prakt. Informatik, Christian-Albrechts-Univ., 2005
Experimental robot inverse dynamics identification using classical and machine learning techniques
V Bargsten, J de Gea Fernandez, Y Kassahun
Proceedings of ISR 2016: 47st International Symposium on Robotics, 1-6, 2016
Dynamic motion modelling for legged robots
M Edgington, Y Kassahun, F Kirchner
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
Learning walking patterns for kinematically complex robots using evolution strategies
M Römmermann, M Edgington, JH Metzen, J de Gea, Y Kassahun, ...
International Conference on Parallel Problem Solving from Nature, 1091-1100, 2008
Learning catheter-aorta interaction model using joint probability densities
Y Kassahun, B Yu, E Vander Poorten
Proceedings of the 3rd joint workshop on new technologies for computer/robot …, 2013
A general framework for encoding and evolving neural networks
Y Kassahun, JH Metzen, J de Gea, M Edgington, F Kirchner
Annual Conference on Artificial Intelligence, 205-219, 2007
A2D2: Audi autonomous driving dataset
J Geyer, Y Kassahun, M Mahmudi, X Ricou, R Durgesh, AS Chung, ...
arXiv preprint arXiv:2004.06320, 2020
Learning the elasticity of a series-elastic actuator for accurate torque control
B Yu, J de Gea Fernández, Y Kassahun, V Bargsten
International Conference on Industrial, Engineering and Other Applications …, 2017
Evolutionary learning of neural structures for visuo-motor control
NT Siebel, G Sommer, Y Kassahun
Computational Intelligence in Medical Informatics, 93-115, 2008
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