Search Results - "Jensen, Bjorn Sand"

Predicting gene expression using morphological cell responses to nanotopography by Cutiongco, Marie F. A., Jensen, Bjørn Sand, Reynolds, Paul M., Gadegaard, Nikolaj

“…Cells respond in complex ways to their environment, making it challenging to predict a direct relationship between the two. A key problem is the lack of…”
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Interactive machine learning for fast and robust cell profiling by Laux, Lisa, Cutiongco, Marie F.A, Gadegaard, Nikolaj, Jensen, Bjorn Sand

“…Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this technique retains a high barrier to entry. In particular,…”
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Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: Application to planar soft tissues by Aggarwal, Ankush, Jensen, Bjørn Sand, Pant, Sanjay, Lee, Chung-Hao

“…Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process…”
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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images by Zimmerer, David, Full, Peter M., Isensee, Fabian, Jager, Paul, Adler, Tim, Petersen, Jens, Kohler, Gregor, Ross, Tobias, Reinke, Annika, Kascenas, Antanas, Jensen, Bjorn Sand, O'Neil, Alison Q., Tan, Jeremy, Hou, Benjamin, Batten, James, Qiu, Huaqi, Kainz, Bernhard, Shvetsova, Nina, Fedulova, Irina, Dylov, Dmitry V., Yu, Baolun, Zhai, Jianyang, Hu, Jingtao, Si, Runxuan, Zhou, Sihang, Wang, Siqi, Li, Xinyang, Chen, Xuerun, Zhao, Yang, Marimont, Sergio Naval, Tarroni, Giacomo, Saase, Victor, Maier-Hein, Lena, Maier-Hein, Klaus

“…Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the…”
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Estimating human predictability from mobile sensor data by Jensen, Bjorn Sand, Larsen, Jakob Eg, Jensen, Kristian, Larsen, Jan, Hansen, Lars Kai

“…Quantification of human behavior is of prime interest in many applications ranging from behavioral science to practical applications like GSM resource planning…”
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A predictive model of music preference using pairwise comparisons by Jensen, B. S., Saez Gallego, Javier, Larsen, J.

“…Music recommendation is an important aspect of many streaming services and multi-media systems, however, it is typically based on so-called collaborative…”
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Efficient preference learning with pairwise continuous observations and Gaussian Processes by Jensen, B. S., Nielsen, J. B., Larsen, J.

“…Human preferences can effectively be elicited using pairwise comparisons and in this paper current state-of-the-art based on binary decisions is extended by a…”
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Anomaly Detection via Context and Local Feature Matching by Kascenas, Antanas, Young, Rory, Jensen, Bjorn Sand, Pugeault, Nicolas, O'Neil, Alison Q.

“…Unsupervised anomaly detection in medical imaging is an exciting prospect due to the option of training only on healthy data, without the need for expensive…”
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Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues by Aggarwal, Ankush, Jensen, Bjørn Sand, Pant, Sanjay, Lee, Chung-Hao

“…Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process…”
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Bounded Gaussian process regression by Jensen, Bjorn Sand, Nielsen, Jens Brehm, Larsen, Jan

“…We extend the Gaussian process (GP) framework for bounded regression by introducing two bounded likelihood functions that model the noise on the dependent…”
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A service based estimation method for MPSoC performance modelling by Tranberg-Hansen, A.S., Madsen, J., Jensen, B.S.

“…This paper presents an abstract service based estimation method for MPSoC performance modelling which allows fast, cycle accurate design space exploration of…”
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Towards a universal representation for audio information retrieval and analysis by Jensen, Bjorn Sand, Troelsgaard, Rasmus, Larsen, Jan, Hansen, Lars Kai

“…A fundamental and general representation of audio and music which integrates multi-modal data sources is important for both application and basic research…”
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Recurrent Neural Networks for Fuzz Testing Web Browsers by Sablotny, Martin, Jensen, Bjørn Sand, Johnson, Chris W

“…Generation-based fuzzing is a software testing approach which is able to discover different types of bugs and vulnerabilities in software. It is, however,…”
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Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations by Pitsillos, Nikos, Pore, Ameya, Jensen, Bjorn Sand, Aragon-Camarasa, Gerardo

“…We present an introspective framework inspired by the process of how humans perform introspection. Our working assumption is that neural network activations…”
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Pseudo inputs for pairwise learning with Gaussian processes by Nielsen, J. B., Jensen, B. S., Larsen, J.

“…We consider learning and prediction of pairwise comparisons between instances. The problem is motivated from a perceptual view point, where pairwise…”
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Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations by Pitsillos, Nikos, Pore, Ameya, Jensen, Bjorn Sand, Aragon-Camarasa, Gerardo

“…We present an introspective framework inspired by the process of how humans perform introspection. Our working assumption is that neural network activations…”
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Interactive machine learning for fast and robust cell profiling by Lisa Laux, Marie F. A. Cutiongco, Nikolaj Gadegaard, Bjørn Sand Jensen, Tim Wilhelm Nattkemper

“…Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this technique retains a high barrier to entry. In particular,…”
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Reinforcement learning guided fuzz testing for a browser's HTML rendering engine by Sablotny, Martin, Jensen, Bjørn Sand, Singer, Jeremy

“…Generation-based fuzz testing can uncover various bugs and security vulnerabilities. However, compared to mutation-based fuzz testing, it takes much longer to…”
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SepMamba: State-space models for speaker separation using Mamba by Avenstrup, Thor Højhus, Elek, Boldizsár, Mádi, István László, Schin, András Bence, Mørup, Morten, Jensen, Bjørn Sand, Olsen, Kenny Falkær

“…Deep learning-based single-channel speaker separation has improved significantly in recent years largely due to the introduction of the transformer-based…”
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Learning Robust Controllers Via Probabilistic Model-Based Policy Search by Charvet, Valentin, Jensen, Bjørn Sand, Murray-Smith, Roderick

“…Model-based Reinforcement Learning estimates the true environment through a world model in order to approximate the optimal policy. This family of algorithms…”
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