Search Results - "Rosenbaum, Lars"

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schutz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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Preanalytical aspects and sample quality assessment in metabolomics studies of human blood by Yin, Peiyuan, Peter, Andreas, Franken, Holger, Zhao, Xinjie, Neukamm, Sabine S, Rosenbaum, Lars, Lucio, Marianna, Zell, Andreas, Häring, Hans-Ulrich, Xu, Guowang, Lehmann, Rainer

“…Metabolomics is a powerful tool that is increasingly used in clinical research. Although excellent sample quality is essential, it can easily be compromised by…”
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Circulating Lysophosphatidylcholines Are Markers of a Metabolically Benign Nonalcoholic Fatty Liver by LEHMANN, Rainer, FRANKEN, Holger, KÖNIGSRAINER, Alfred, MACHANN, Jürgen, SCHICK, Fritz, DE ANGELIS, Martin Hrabé, SCHWAB, Matthias, STAIGER, Harald, SCHLEICHER, Erwin, GASTALDELLI, Amalia, FRITSCHE, Andreas, HÄRING, Hans-Ulrich, DAMMEIER, Sascha, STEFAN, Norbert, ROSENBAUM, Lars, KANTARTZIS, Konstantinos, PETER, Andreas, ZELL, Andreas, ADAM, Patrick, JIA LI, GUOWANG XU

“…Nonalcoholic fatty liver (NAFL) is thought to contribute to insulin resistance and its metabolic complications. However, some individuals with NAFL remain…”
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Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software by Eichner, Johannes, Rosenbaum, Lars, Wrzodek, Clemens, Häring, Hans-Ulrich, Zell, Andreas, Lehmann, Rainer

“…In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information…”
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jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints by Hinselmann, Georg, Rosenbaum, Lars, Jahn, Andreas, Fechner, Nikolas, Zell, Andreas

“…Background The decomposition of a chemical graph is a convenient approach to encode information of the corresponding organic compound. While several commercial…”
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Interpreting linear support vector machine models with heat map molecule coloring by Rosenbaum, Lars, Hinselmann, Georg, Jahn, Andreas, Zell, Andreas

“…Background Model-based virtual screening plays an important role in the early drug discovery stage. The outcomes of high-throughput screenings are a valuable…”
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Large-Scale Learning of Structure−Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics by Hinselmann, Georg, Rosenbaum, Lars, Jahn, Andreas, Fechner, Nikolas, Ostermann, Claude, Zell, Andreas

“…The goal of this study was to adapt a recently proposed linear large-scale support vector machine to large-scale binary cheminformatics classification problems…”
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4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening by Jahn, Andreas, Rosenbaum, Lars, Hinselmann, Georg, Zell, Andreas

“…Background The performance of 3D-based virtual screening similarity functions is affected by the applied conformations of compounds. Therefore, the results of…”
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Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection by Feng, Di, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus

“…We present a robust real-time LiDAR 3D object detector that leverages heteroscedastic aleatoric uncertainties to significantly improve its detection…”
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Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector by Feng, Di, Wei, Xiao, Rosenbaum, Lars, Maki, Atsuto, Dietmayer, Klaus

“…Training a deep object detector for autonomous driving requires a huge amount of labeled data. While recording data via on-board sensors such as camera or…”
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Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection by Feng, Di, Wang, Zining, Zhou, Yiyang, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus, Tomizuka, Masayoshi, Zhan, Wei

“…The availability of many real-world driving datasets is a key reason behind the recent progress of object detection algorithms in autonomous driving. However,…”
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Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection by Feng, Di, Rosenbaum, Lars, Dietmayer, Klaus

“…To assure that an autonomous car is driving safely on public roads, its object detection module should not only work correctly, but show its prediction…”
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DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars by Drews, Florian, Feng, Di, Faion, Florian, Rosenbaum, Lars, Ulrich, Michael, Glaser, Claudius

“…We propose DeepFusion, a modular multi-modal architecture to fuse lidars, cameras and radars in different combinations for 3D object detection. Specialized…”
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Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving by Feng, Di, Cao, Yifan, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus

“…This work presents a probabilistic deep neural network that combines LiDAR point clouds and RGB camera images for robust, accurate 3D object detection. We…”
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Inferring Spatial Uncertainty in Object Detection by Wang, Zining, Feng, Di, Zhou, Yiyang, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus, Tomizuka, Masayoshi, Zhan, Wei

“…The availability of real-world datasets is the prerequisite for developing object detection methods for autonomous driving. While ambiguity exists in object…”
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A ranking method for the concurrent learning of compounds with various activity profiles by Dörr, Alexander, Rosenbaum, Lars, Zell, Andreas

“…Background In this study, we present a SVM-based ranking algorithm for the concurrent learning of compounds with different activity profiles and their varying…”
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Inferring multi-target QSAR models with taxonomy-based multi-task learning by Rosenbaum, Lars, Dörr, Alexander, Bauer, Matthias R, Boeckler, Frank M, Zell, Andreas

“…Background A plethora of studies indicate that the development of multi-target drugs is beneficial for complex diseases like cancer. Accurate QSAR models for…”
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A Free-Wilson-like Approach to Analyze QSAR Models Based on Graph Decomposition Kernels by Fechner, Nikolas, Hinselmann, Georg, Jahn, Andreas, Rosenbaum, Lars, Zell, Andreas

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Unscented Autoencoder by Janjoš, Faris, Rosenbaum, Lars, Dolgov, Maxim, Zöllner, J. Marius

“…The Variational Autoencoder (VAE) is a seminal approach in deep generative modeling with latent variables. Interpreting its reconstruction process as a…”
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Boltzmann-Enhanced Flexible Atom-Pair Kernel with Dynamic Dimension Reduction by Jahn, Andreas, Hinselmann, Georg, Rosenbaum, Lars, Fechner , Nikolas, Zell, Andreas

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