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Journal Articles
- 2022
[j1]David Zimmerer
, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022)
Conference and Workshop Papers
- 2023
- [c18]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c17]Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan:
CP2Image: Generating high-quality single-cell images using CellProfiler representations. MIDL 2023: 274-285 - 2022
- [c16]Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. ISBI 2022: 1-5 - 2021
- [c15]Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa:
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. ICDL 2021: 1-7 - [c14]Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen:
Probabilistic selection of inducing points in sparse Gaussian processes. UAI 2021: 1035-1044 - 2019
- [c13]Anders Kirk Uhrenholt, Bjørn Sand Jensen:
Efficient Bayesian Optimization for Target Vector Estimation. AISTATS 2019: 2661-2670 - [c12]Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith:
Variational Sparse Coding. UAI 2019: 690-700 - 2018
- [c11]Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson:
Recurrent Neural Networks for Fuzz Testing Web Browsers. ICISC 2018: 354-370 - 2015
- [c10]Jens Madsen, Bjørn Sand Jensen, Jan Larsen:
Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. ASM@ACM Multimedia 2015: 3-8 - 2014
- [c9]Jens Madsen, Bjørn Sand Jensen, Jan Larsen:
Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons. ISMIR 2014: 319-324 - 2013
- [c8]Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen:
Towards a universal representation for audio information retrieval and analysis. ICASSP 2013: 3168-3172 - [c7]Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen:
Bounded Gaussian process regression. MLSP 2013: 1-6 - 2012
- [c6]Jens Madsen, Bjørn Sand Jensen, Jan Larsen:
Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons. CMMR 2012: 253-277 - [c5]Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen:
A predictive model of music preference using pairwise comparisons. ICASSP 2012: 1977-1980 - [c4]Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen:
Haussdorff and hellinger for colorimetric sensor array classification. MLSP 2012: 1-6 - [c3]Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen:
Pseudo inputs for pairwise learning with Gaussian processes. MLSP 2012: 1-6 - 2011
- [c2]Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen:
Efficient preference learning with pairwise continuous observations and Gaussian Processes. MLSP 2011: 1-6 - 2008
- [c1]Anders Sejer Tranberg-Hansen, Jan Madsen, Bjørn Sand Jensen:
A service based estimation method for MPSoC performance modelling. SIES 2008: 43-50
Informal and Other Publications
- 2023
- [i8]Martin Sablotny, Bjørn Sand Jensen, Jeremy Singer:
Reinforcement learning guided fuzz testing for a browser's HTML rendering engine. CoRR abs/2307.14556 (2023) - 2022
- [i7]Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee:
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. CoRR abs/2210.00868 (2022) - 2021
- [i6]Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith:
Learning Robust Controllers Via Probabilistic Model-Based Policy Search. CoRR abs/2110.13576 (2021) - 2020
- [i5]Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen:
Probabilistic selection of inducing points in sparse Gaussian processes. CoRR abs/2010.09370 (2020) - [i4]Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa:
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. CoRR abs/2011.01880 (2020) - [i3]Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen:
Odd-One-Out Representation Learning. CoRR abs/2012.07966 (2020) - 2018
- [i2]Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson:
Recurrent Neural Networks for Fuzz Testing Web Browsers. CoRR abs/1812.04852 (2018) - 2014
- [i1]Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen:
A Topic Model Approach to Multi-Modal Similarity. CoRR abs/1405.6886 (2014)
Coauthor Index
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