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Keyword Term: Machine Learning

1 to 9 of 9 Results

Prediction of improvement in Personality Functioning. Utilisation of machine learning to filter relevant variables for prediction [dataset] Mar 4, 2024 - Forschungsgruppe AG Nikendei Rollmann, Ivo; Kindermann, David; Stahl-Toyota, Sophia; Nowak, Jonathan; Orth, Maximilian; Friederich, Hans-Christoph; Nikendei, Christoph, 2024, "Prediction of improvement in Personality Functioning. Utilisation of machine learning to filter relevant variables for prediction [dataset]", https://doi.org/10.11588/data/50WFVL, heiDATA, V1, UNF:6:B4RPojcFDrMxlhi/kXeKpQ== [fileUNF] Introduction. Since its introduction in the DSM-5 and the ICD-11, the construct of personality functioning has received increased research interest. Recent studies have shown that psychotherapy contributes to an improvement in personality functioning. However, it remains unclear...
Substituting density functional theory in reaction barrier calculations for hydrogen atom transfer in proteins [data] Dec 7, 2023 - HITS MBM Riedmiller, Kai; Reiser, Patrick; Bobkova, Elizaveta; Maltsev, Kiril; Gryn’ova, Ganna; Friederich, Pascal; Gräter, Frauke, 2023, "Substituting density functional theory in reaction barrier calculations for hydrogen atom transfer in proteins [data]", https://doi.org/10.11588/data/TGDD4Y, heiDATA, V2 Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the...
DSAC* Visual Re-Localization [Data] Jan 7, 2022 - IWR Visual Learning Lab Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V2 Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1 Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC
DSAC++ Visual Camera Re-Localization [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "DSAC++ Visual Camera Re-Localization [Data]", https://doi.org/10.11588/data/EGCMUU, heiDATA, V1 Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset. For mo...
6D Object Pose Estimation using 3D Object Coordinates [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1 Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba...
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1 Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac
Expert Sample Consensus (ESAC) for Visual Re-Localization [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/GSJE9D, heiDATA, V1 Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) dataset...
Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset] Jun 22, 2018 - Psychological Research Methods Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1 In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...

Prediction of improvement in Personality Functioning. Utilisation of machine learning to filter relevant variables for prediction [dataset]

Mar 4, 2024 - Forschungsgruppe AG Nikendei

Rollmann, Ivo; Kindermann, David; Stahl-Toyota, Sophia; Nowak, Jonathan; Orth, Maximilian; Friederich, Hans-Christoph; Nikendei, Christoph, 2024, "Prediction of improvement in Personality Functioning. Utilisation of machine learning to filter relevant variables for prediction [dataset]", https://doi.org/10.11588/data/50WFVL, heiDATA, V1, UNF:6:B4RPojcFDrMxlhi/kXeKpQ== [fileUNF]

Introduction. Since its introduction in the DSM-5 and the ICD-11, the construct of personality functioning has received increased research interest. Recent studies have shown that psychotherapy contributes to an improvement in personality functioning. However, it remains unclear...

Substituting density functional theory in reaction barrier calculations for hydrogen atom transfer in proteins [data]

Dec 7, 2023 - HITS MBM

Riedmiller, Kai; Reiser, Patrick; Bobkova, Elizaveta; Maltsev, Kiril; Gryn’ova, Ganna; Friederich, Pascal; Gräter, Frauke, 2023, "Substituting density functional theory in reaction barrier calculations for hydrogen atom transfer in proteins [data]", https://doi.org/10.11588/data/TGDD4Y, heiDATA, V2

Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on them using simulations. Here, we present a machine learning model based on graph neural networks for the...

DSAC* Visual Re-Localization [Data]

Jan 7, 2022 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V2

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...

Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1

Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC

DSAC++ Visual Camera Re-Localization [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "DSAC++ Visual Camera Re-Localization [Data]", https://doi.org/10.11588/data/EGCMUU, heiDATA, V1

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset. For mo...

6D Object Pose Estimation using 3D Object Coordinates [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1

Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba...

Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1

Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac

Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/GSJE9D, heiDATA, V1

Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) dataset...

Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]

Jun 22, 2018 - Psychological Research Methods

Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1

In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...

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