Publications
Please check out the bottom of this website for my:
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Scientific articles |
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Abele, N., Tiemann, K., Krech, T., ..., Lang, T. Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics Modern Pathology 2023 Online version PDF (Journal website) |
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Homeyer, A., Geißler, C., Schwen, L., ..., Lang, T., et al. Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology Modern Pathology 2022 PDF (Journal website) |
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F. Decroos, S. Springenberg, T. Lang, M. Päpper, A. Zapf, D. Metze, V. Steinkraus, A. Böer-Auer A Deep Learning Approach for Histopathological Diagnosis of Onychomycosis: Not Inferior to Analogue Diagnosis by Histopathologists Acta Dermato-Venereologica 2021 PDF (Journal website) |
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Tobias Lang, Matthias Rettenmeier
Understanding Consumer Behavior with Recurrent Neural Networks Int. Workshop on Machine Learning Methods for Recommender Systems (MLRec@SDM) 2017 |
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Tobias Lang, Florian Flachsenberg, Ulrike von Luxburg, Matthias Rarey
Feasibility of Active Machine Learning for Multiclass Compound Classification Journal of Chemical Information and Modeling (JCIM) 2016 Journal website |
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Sebastian Höfer, Tobias Lang, Oliver Brock
Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning Int. Conference on Robotics and Automation (ICRA) 2014 |
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Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes
Active Learning for Teaching a Robot Grounded Relational Symbols Int. Joint Conf. on Artificial Intelligence (IJCAI) 2013 |
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Nikolay Jetchev, Tobias Lang, Marc Toussaint
Learning Grounded Relational Symbols from Continuous Data for Abstract Reasoning Int. Conference on Robotics and Automation (ICRA) - Workshop on Autonomous Learning 2013 |
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Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in Relational Domains for Model-based Reinforcement Learning Journal of Machine Learning Research (JMLR) 2012, Volume 13, pages 3725-3768 PDF Bibtex JMLR website |
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Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress Neural Information Processing Systems (NIPS) 2012 |
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Tobias Lang
Planning and Exploration in Stochastic Relational Worlds Ph.D. Thesis, Freie Universität Berlin 2011 PDF Bibtex |
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Pascal Poupart, Tobias Lang, Marc Toussaint
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains European Conference on Machine Learning (ECML) 2011 PDF Bibtex |
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Tobias Lang, Marc Toussaint
Planning with Noisy Probabilistic Relational Rules Journal of Artificial Intelligence Research (JAIR) 2010, Volume 39, pages 1-49 PDF Bibtex JAIR website Code, simulator movies and additional material |
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Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in relational worlds European Conference on Machine Learning (ECML) 2010 PDF Bibtex Simulator movies |
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Tobias Lang, Marc Toussaint
Probabilistic backward and forward reasoning in stochastic relational worlds International Conference on Machine Learning (ICML) 2010 PDF Bibtex |
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Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference Int. Conference on Robotics and Automation (ICRA) 2010 PDF Bibtex |
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Tobias Lang, Marc Toussaint
Relevance grounding for planning in relational domains European Conference on Machine Learning (ECML) 2009 PDF Bibtex Video lecture Simulator movies |
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Tobias Lang, Marc Toussaint
Approximate inference for planning in stochastic relational worlds International Conference on Machine Learning (ICML) 2009 PDF Bibtex Video lecture Code, simulator movies and additional material |
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Tobias Lang, Christian Plagemann, Wolfram Burgard
Adaptive Non-Stationary Kernel Regression for Terrain Modeling Robotics: Science and Systems (RSS) 2007 PDF Bibtex |
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Tobias Lang
Gaussian Processes for Terrain Modeling M.Sc. Thesis, Albert-Ludwigs-University Freiburg 2007 PDF Bibtex |
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Christian Kaul, Johannes Knabe, Tobias Lang, Volker Sperschneider
Filtering Spam E-Mail with Support Vector Machines PICS - Publications of the Institute of Cognitive Science, University of Osnabrück, Volume 8. 2004 PDF Bibtex |
Podcasts, professional journals and blogs |
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Book Chapter Tobias Lang, Ralf Banisch, Sebastian Springenberg Bilderkennung in der Krebsdiagnostik mit KI In: Wie Künstliche Intelligenz unser Leben prägt: KI verständlich erklärt (Haufe Fachbuch) Verlag-Produktseite Preprint (PDF) 2022 |
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Podcast Datenkasper-Podcast mit Mindpeak CTO & Co-Founder Dr. Tobias Lang Topics: AI in Pathology and Mindpeak On Datenkasper website On Spotify 2022 |
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Journal article Holger Hauspurg, Tobias Lang Maschinelles Lernen und digitale Pathologie Journal Onkologie 4/2021 2021 |
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Technical specification Felix Faber, Nora Bartels, M. Päpper, Tobias Lang, et al. Leitfaden für die Entwicklung von Deep-Learning-Bilderkennungssystemen in der Medizin (Guideline for the development of deep learning image recognition systems in medicine) DIN SPEC 13288:2021-03 (Deutsches Institut für Normung) 2021 Publisher website |
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Journal article Burkhardt Funk, Matthias Rettenmeier, Tobias Lang Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen Wirtschaftsinformatik & Management 5/2017 2017 Homepage Springer Manuskript |
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Blog article
Tobias Lang, Matthias Rettenmeier
Deep Learning in Production for Predicting Consumer Behavior Zalando Tech-Blog 2017 |
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Blog article
Tobias Lang
Deep Learning for Understanding Consumer Histories Zalando Tech-Blog Video at code.talks 2016 2016 |
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Journal article Marc Toussaint, Tobias Lang, Nikolay Jetchev Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen at-Automatisierungstechnik 2013 |
