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2020 – today
- 2024
[j6]Anja Witte, Sascha Lange, Christian Lins:
Masked autoencoder: influence of self-supervised pretraining on object segmentation in industrial images. Ind. Artif. Intell. 2(1): 7 (2024)- 2021
- [c19]Dalila Durães
, Flávio Arthur O. Santos, Francisco Supino Marcondes, Sascha Lange, José Machado:
Comparison of Transfer Learning Behaviour in Violence Detection with Different Public Datasets. EPIA 2021: 290-298 - [c18]Sebastian Hoch, Sascha Lange, Janis Keuper:
Sample efficient localization and stage prediction with autoencoders. ESANN 2021 - [c17]Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Niklas Hammerschmidt, Sascha Lange, José Machado, Paulo Novais:
In-Car Violence Detection Based on the Audio Signal. IDEAL 2021: 437-445 - [c16]Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Sascha Lange, José Machado, Paulo Novais:
Efficient Violence Detection Using Transfer Learning. PAAMS (Workshops) 2021: 65-75
2010 – 2019
- 2018
- [c15]Philipp Andreas Hummel, Frank Jäkel, Sascha Lange, Roland Mertelsmann:
A Textual Recommender System for Clinical Data. ICCBR 2018: 140-152 - 2017
- [c14]Wolfgang Groß, Sascha Lange, Joschka Bödecker, Manuel Blum:
Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. ESANN 2017 - 2013
- [c13]João Alves, José Neves, Sascha Lange, Martin A. Riedmiller:
Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior. KICSS 2013: 53-65 - 2012
- [c12]Jan Mattner, Sascha Lange, Martin A. Riedmiller:
Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data. ICONIP (5) 2012: 126-133 - [c11]Sascha Lange, Martin A. Riedmiller, Arne Voigtländer:
Autonomous reinforcement learning on raw visual input data in a real world application. IJCNN 2012: 1-8 - [p1]Sascha Lange, Thomas Gabel, Martin A. Riedmiller:
Batch Reinforcement Learning. Reinforcement Learning 2012: 45-73 - 2011
- [c10]Andreas Witsch, Roland Reichle, Kurt Geihs, Sascha Lange, Martin A. Riedmiller:
Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures. ADPRL 2011: 156-163 - 2010
- [b1]Sascha Lange:
Tiefes Reinforcement-Lernen auf Basis visueller Wahrnehmungen. University of Osnabrück, 2010, pp. 1-211 - [j5]Martin Lauer, Roland Hafner, Sascha Lange, Martin A. Riedmiller:
Cognitive concepts in autonomous soccer playing robots. Cogn. Syst. Res. 11(3): 287-309 (2010) - [c9]Sascha Lange, Martin A. Riedmiller:
Deep learning of visual control policies. ESANN 2010 - [c8]Sascha Lange, Martin A. Riedmiller:
Deep auto-encoder neural networks in reinforcement learning. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j4]Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange:
Reinforcement learning for robot soccer. Auton. Robots 27(1): 55-73 (2009) - [j3]Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller:
Computational object recognition: a biologically motivated approach. Biol. Cybern. 100(1): 59-79 (2009) - 2008
- [j2]Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller:
Incremental GRLVQ: Learning relevant features for 3D object recognition. Neurocomputing 71(13-15): 2868-2879 (2008) - [c7]Martin A. Riedmiller, Roland Hafner, Sascha Lange, Martin Lauer:
Learning to dribble on a real robot by success and failure. ICRA 2008: 2207-2208 - 2007
- [c6]Arne Voigtländer, Sascha Lange, Martin Lauer, Martin A. Riedmiller:
Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras. EMCR 2007 - [c5]Heiko Müller, Martin Lauer, Roland Hafner, Sascha Lange, Artur Merke, Martin A. Riedmiller:
Making a Robot Learn to Play Soccer Using Reward and Punishment. KI 2007: 220-234 - 2006
- [j1]Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer:
Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. Inform. Spektrum 29(3): 175-190 (2006) - [c4]Sascha Lange, Martin A. Riedmiller:
Appearance-Based Robot Discrimination Using Eigenimages. RoboCup 2006: 499-506 - 2005
- [c3]Martin Lauer, Sascha Lange, Martin A. Riedmiller:
Modeling Moving Objects in a Dynamically Changing Robot Application. KI 2005: 291-303 - [c2]Martin Lauer, Sascha Lange, Martin A. Riedmiller:
Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization. RoboCup 2005: 142-153 - 2004
- [c1]Sascha Lange, Martin A. Riedmiller:
Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks. RoboCup 2004: 184-195
Coauthor Index
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