Stream-based active learning for sliding windows under the influence of verification latency
Pham, Tuan, Kottke, Daniel, Krempl, Georg, Sick, Bernhard
Published in Machine learning (01.06.2022)
Published in Machine learning (01.06.2022)
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Journal Article
Toward optimal probabilistic active learning using a Bayesian approach
Kottke, Daniel, Herde, Marek, Sandrock, Christoph, Huseljic, Denis, Krempl, Georg, Sick, Bernhard
Published in Machine learning (01.06.2021)
Published in Machine learning (01.06.2021)
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Journal Article
Efficient SVDD sampling with approximation guarantees for the decision boundary
Englhardt, Adrian, Trittenbach, Holger, Kottke, Daniel, Sick, Bernhard, Böhm, Klemens
Published in Machine learning (01.04.2022)
Published in Machine learning (01.04.2022)
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Journal Article
Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks
Huseljic, Denis, Sick, Bernhard, Herde, Marek, Kottke, Daniel
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
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Conference Proceeding
Multi-Annotator Probabilistic Active Learning
Herde, Marek, Kottke, Daniel, Huseljic, Denis, Sick, Bernhard
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
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Conference Proceeding
A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation
Hanke, Michael, Adelhöfer, Nico, Kottke, Daniel, Iacovella, Vittorio, Sengupta, Ayan, Kaule, Falko R, Nigbur, Roland, Waite, Alexander Q, Baumgartner, Florian, Stadler, Jörg
Published in Scientific data (25.10.2016)
Published in Scientific data (25.10.2016)
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Journal Article
Probabilistic Active Learning in Datastreams
Kottke, Daniel, Krempl, Georg, Spiliopoulou, Myra
Published in Advances in Intelligent Data Analysis XIV (2015)
Published in Advances in Intelligent Data Analysis XIV (2015)
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Book Chapter
Active Label Refinement for Semantic Segmentation of Satellite Images
Minh, Tuan Pham, Wijesingha, Jayan, Kottke, Daniel, Herde, Marek, Huseljic, Denis, Sick, Bernhard, Wachendorf, Michael, Esch, Thomas
Year of Publication 12.09.2023
Year of Publication 12.09.2023
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Journal Article
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Huseljic, Denis, Herde, Marek, Rauch, Lukas, Hahn, Paul, Huang, Zhixin, Kottke, Daniel, Vogt, Stephan, Sick, Bernhard
Year of Publication 12.10.2022
Year of Publication 12.10.2022
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Journal Article
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary
Englhardt, Adrian, Trittenbach, Holger, Kottke, Daniel, Sick, Bernhard, Böhm, Klemens
Year of Publication 29.09.2020
Year of Publication 29.09.2020
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Journal Article
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms
Calma, Adrian, Kottke, Daniel, Sick, Bernhard, Tomforde, Sven
Published in 2017 IEEE 2nd International Workshops on Foundations and Applications of Self Systems (FASW) (01.09.2017)
Published in 2017 IEEE 2nd International Workshops on Foundations and Applications of Self Systems (FASW) (01.09.2017)
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Conference Proceeding
Active Learning With Realistic Data - A Case Study
Calma, Adrian, Stolz, Moritz, Kottke, Daniel, Tomforde, Sven, Sick, Bernhard
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
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Conference Proceeding
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality
Sandrock, Christoph, Herde, Marek, Calma, Adrian, Kottke, Daniel, Sick, Bernhard
Published in 2019 International Joint Conference on Neural Networks (IJCNN) (01.07.2019)
Published in 2019 International Joint Conference on Neural Networks (IJCNN) (01.07.2019)
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Conference Proceeding
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning
Minh, Tuan Pham, Kottke, Daniel, Tsarenko, Anna, Gruhl, Christian, Sick, Bernhard
Published in 2020 International Joint Conference on Neural Networks (IJCNN) (01.07.2020)
Published in 2020 International Joint Conference on Neural Networks (IJCNN) (01.07.2020)
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Conference Proceeding