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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... -
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... -
NeuroQuantify Dataset
The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation,... -
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.... -
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... -
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... -
Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size ...
The data contains the analysis results of the research work. -
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... -
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... -
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 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 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: "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 third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
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... -
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur...
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit... -
Post-processing of NWP precipitation forecasts using deep learning data
Train and test sets used for the ANNs post processing of NWP to predict precipitation -
Deep learning models for generation of precipitation maps based on NWP Data
Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP". trn = training set vld = validation set tst = test set x =... -
Supplementary Material for "Process Data Properties Matter: Introducing Gated...
Supplementary material for the article: Heinrich, Kai ; Zschech, Patrick ; Janiesch, Christian ; Bonin, Markus: Process Data Properties Matter: Introducing Gated Convolutional... -
EHL Dataset EOSC Fast Track Grant Covid-19 Data Analysis with CXR Images (Cov...
The total size of the EHL Data is 305 MB, and the images’ resolutions vary quite a lot. Some Covid-19 images are about 1239x1024 and other normal images in the dataset are...