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DensingQueen - dataset
Dataset of the paper "DensingQueen: Exploration Methods for Spatial Dense Dynamic Data". For more information see the readme file. -
A Qualitative Investigation of User Transitions and Frictions in Cross-Realit...
transcripts of the audio from the recordings of users interacting with the cross reality apparatus. With added transition indicators. For more details see readme file -
Research data "Impact of Saharan dust outbreaks on short-range weather foreca...
ICON simulation of Saharan dust event over Central Europe on 2021-03-03 Document date: 2023-03-29 Corresponding Author: Name: Kilian Hermes Email: kilian.hermes@mail.de... -
Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic mon...
Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy –... -
Runtime performance measurements of interactive visualisation algorithms
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from... -
GLASSgo Setup & Usage
Instruction video to install and use GLASSgo on multiple resources (e.g., Docker, Galaxy, web server). GLASSgo is available at Github with instructions and application data and... -
Research Data Management Project Form
Research Data Management (RDM) describes the collection, preservation, and sharing of data created or used in a research project. SimTech’s Data and Software Management team... -
Dynamics of Head Pointing Using Static and Dynamic Gains
Data was acquired from experiments of the master's thesis "Exploring the dynamics of the head pointing." There were two studies: preliminary and the main study. The task of... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also... -
Replication Data for: A HPX Communication Benchmark: Distributed FFT using Co...
This repository complements the identically titled poster paper submitted to Euro-Par 2024 and allows to reproduce the published results. For a description on how to use the... -
First Steps with DaRUS as an Admin
Description of the first steps and the most important tasks for a new DaRUS-Admin -
Supplementary Material for Uncertainty-aware Spectral Visualization
In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the... -
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data...
This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset... -
First Steps with DaRUS
Instructions for the first steps with DaRUS -
Knowledge Graph Generator
Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge... -
VQA-MHUG
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed... -
Code for Ultrahyperbolic Knowledge Graph Embeddings
This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method... -
Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Gra...
Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak... -
Code for Pseudo-Riemannian Graph Convolutional Networks
This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on HGCN implementation. This code is used to reproduce the... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip...