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TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process
Temporal point clouds sampled from a workpiece in progress using 16 different machining tools. The datasets were created using a machining simulation in the Unit Industrial... -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset a...
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to... -
Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size ...
The data contains the analysis results of the research work. -
UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions...
MUNICIPAL SOLID WASTE DETECTION MODEL OF CONFERENCE PAPER (UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions) The population growth and urbanisation... -
UAVPal
A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene... -
Pretrained models for animal2vec and MeerKAT: A self-supervised transformer f...
Model weights for animal2vec Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec Here you find the model weights for the... -
Unifying Antimicrobial Peptide Datasets for Robust Deep Learning-Based Classi...
Leguminous crops are vital to sustainable agriculture due to their ability to fix atmospheric nitrogen, improving soil fertility and reducing the need for synthetic fertilizers.... -
NeuroQuantify Dataset
The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation,... -
AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Pred...
Deep learning models play a crucial role in improving driver assistance systems and environmental perception. However, their tendency toward overconfident predictions poses... -
Inverse QSAR: reversing descriptor-driven prediction pipeline using attention...
In order to better formalize the notorious Inverse-QSAR problem (finding structures of given QSAR-predicted properties) is considered in this paper as a two-step process... -
Supplementary Material for "Performance Review of Retraining and Transfer Lea...
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... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer...
