20 datasets found

This package contains data for the publication "Nonlinear decoding of a complex movie from the mammalian retina" by Deny S. et al, PLOS Comput Biol (2018). The data consists of...

Quantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain. Based...

Underwater images and manual tags of different fish taxa detected from the image repository of the OBSEA Cabled Observatory from January 2013 to December 2014. OBSEA station is...

Soil moisture is an important variable linking the atmosphere and the terrestrial ecosystems. However, long-term satellite monitoring of surface soil moisture is still lacking...

This package contains data for the publication "Nonlinear decoding of a complex movie from the mammalian retina" by Deny S. et al, PLOS Comput Biol (2018). The data consists of...

This dataset includes the simulation code in c++, an executable file (for Windows), an example of the parameter file, example output data with the corresponding parameter file,...

Uncertainty quantification is a central challenge in reliable and trustworthy machine learning. Naive measures such as last-layer scores are well-known to yield overconfident...

Despite their incredible performance, it is well reported that deep neural networks tend to be overoptimistic about their prediction confidence. Finding effective and efficient...

Part-of-speech tagger for Slovene language implemented using convolutional and LSTM neural networks. Tagger uses character-level representation of sentences. The tagger has been...

Slovenian model for coreference resolution: a neural network based on a customized transformer architecture, usable with the code published on...

This submission contains trained end-to-end models for the Neural Monkey toolkit for Czech and English, solving three NLP tasks: machine translation, image captioning, and...

This submission contains trained end-to-end models for the Neural Monkey toolkit for Czech and English, solving four NLP tasks: machine translation, image captioning, sentiment...

We propose a new class of financial volatility models, called the REcurrent Conditional Heteroskedastic (RECH) models, to improve both in-sample analysis and out-of-sample...

Data serie of small-scale fisheries of San Pedro port, Tabasco, México. These data are kg/fishery trip (lines) by species (common name, columns), by gear type year and month....

We report on an extensive study of the viscosity of liquid water at near-ambient conditions, performed within the Green-Kubo theory of linear response and equilibrium ab initio...

Data for Properties of α-Brass Nanoparticles. 1. Neural Network Potential Energy Surface Jan Weinreich, Anton Römer, Martín Leandro Paleico, and Jörg Behler 53 841 reference...

We report on an extensive study of the viscosity of liquid water at near-ambient conditions, performed within the Green-Kubo theory of linear response and equilibrium ab initio...

Understanding the dynamical processes that govern the performance of functional materials is essential for the design of next generation materials to tackle global energy and...

Output from electronic structure code (Quantum Espresso) that serves as training data for the machine-learning workflow of the related scientific publication...

The dataset presents the electron density derived using the Neural-network-based Upper hybrid Resonance Determination (NURD) algorithm (Zhelavskaya et al., 2016) from plasma...