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Publication Year: 2023 Subject: Computer Science, Systems and Electrical Engineering

1 to 10 of 27 Results

NeuroQuantify Dataset May 28, 2024 Dang, Truong Ka My, 2023, "NeuroQuantify Dataset", https://doi.org/10.17617/3.UIBMJX, Edmond, V3 The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation, including the number of cells, neurites, neurite length and neurite orientation. This information is essen...
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture May 7, 2024 Naik, Hemal; Chan, Alex Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, D. Iain; Kano, Fumihiro; Nagy, Mate, 2023, "3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture", https://doi.org/10.17617/3.HPBBC7, Edmond, V6 The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on th...
Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?" Jan 10, 2024 Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3 Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schölkopf. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...
Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25" Dec 18, 2023 Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1 This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for...
User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception Nov 5, 2023 Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, Edmond, V1 We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4....
Analysis scripts and raw data for Cookiewall measurements Oct 23, 2023 Rasaii, Seyedali, 2023, "Analysis scripts and raw data for Cookiewall measurements", https://doi.org/10.17617/3.TREBZR, Edmond, V1 This collection contains analysis scripts and raw data to reproduce our analysis for the web cookie measurements to investigate cookiewalls in the wild. The results are published in the paper "Thou Shalt Not Reject: Analyzing Accept-Or-Pay Cookie Banners on the Web" published at...
Supplementary material: Machine learning based classification of vector field configurations Sep 29, 2023 Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1 The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th...
Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag Sep 29, 2023 Fangohr, Hans; Lang, Martin; Holt, Samuel J. R.; Pathak, Swapneel Amit; Zulfiqar, Kauser; Beg, Marijan, 2023, "Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag", https://doi.org/10.17617/3.D5FT5Y, Edmond, V1 Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements.
A Real-World Metal-Layer SEM Image Dataset with Partial Labels Sep 26, 2023 Rothaug, Nils; Klix, Simon; Auth, Nicole; Böcker, Sinan; Puschner, Endres; Becker, Steffen; Paar, Christof, 2023, "A Real-World Metal-Layer SEM Image Dataset with Partial Labels", https://doi.org/10.17617/3.HY5SYN, Edmond, V1 This dataset contains scanning electron microscope (SEM) images and labels from our paper "Towards Unsupervised SEM Image Segmentation for IC Layout Extraction", which are licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0). The SEM images cover th...
Drosophila Brain Model Sep 21, 2023 Shiu, Philip; Spiller, Nico, 2023, "Drosophila Brain Model", https://doi.org/10.17617/3.CZODIW, Edmond, V3 A computational model of the Drosophila brain (bioRxiv, Github)

NeuroQuantify Dataset

May 28, 2024

Dang, Truong Ka My, 2023, "NeuroQuantify Dataset", https://doi.org/10.17617/3.UIBMJX, Edmond, V3

The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation, including the number of cells, neurites, neurite length and neurite orientation. This information is essen...

3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture

May 7, 2024

Naik, Hemal; Chan, Alex Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, D. Iain; Kano, Fumihiro; Nagy, Mate, 2023, "3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture", https://doi.org/10.17617/3.HPBBC7, Edmond, V6

The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on th...

Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"

Jan 10, 2024

Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3

Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab*, Bernhard Schölkopf*. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...

Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"

Dec 18, 2023

Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1

This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for...

User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception

Nov 5, 2023

Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, Edmond, V1

We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4....

Analysis scripts and raw data for Cookiewall measurements

Oct 23, 2023

Rasaii, Seyedali, 2023, "Analysis scripts and raw data for Cookiewall measurements", https://doi.org/10.17617/3.TREBZR, Edmond, V1

This collection contains analysis scripts and raw data to reproduce our analysis for the web cookie measurements to investigate cookiewalls in the wild. The results are published in the paper "Thou Shalt Not Reject: Analyzing Accept-Or-Pay Cookie Banners on the Web" published at...

Supplementary material: Machine learning based classification of vector field configurations

Sep 29, 2023

Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1

The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th...

Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag

Sep 29, 2023

Fangohr, Hans; Lang, Martin; Holt, Samuel J. R.; Pathak, Swapneel Amit; Zulfiqar, Kauser; Beg, Marijan, 2023, "Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag", https://doi.org/10.17617/3.D5FT5Y, Edmond, V1

Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements.

A Real-World Metal-Layer SEM Image Dataset with Partial Labels

Sep 26, 2023

Rothaug, Nils; Klix, Simon; Auth, Nicole; Böcker, Sinan; Puschner, Endres; Becker, Steffen; Paar, Christof, 2023, "A Real-World Metal-Layer SEM Image Dataset with Partial Labels", https://doi.org/10.17617/3.HY5SYN, Edmond, V1

This dataset contains scanning electron microscope (SEM) images and labels from our paper "Towards Unsupervised SEM Image Segmentation for IC Layout Extraction", which are licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0). The SEM images cover th...

Drosophila Brain Model

Sep 21, 2023

Shiu, Philip; Spiller, Nico, 2023, "Drosophila Brain Model", https://doi.org/10.17617/3.CZODIW, Edmond, V3

A computational model of the Drosophila brain (bioRxiv, Github)

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