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NMTVis - Neural Machine Translation Visualization System
NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated... -
Constrained C-Test Generation via Mixed-Integer Programming (Supplementary Ma...
This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In... -
A FEM dataset of Ge film profiles and elastic energies for machine learning a...
Machine Learning (ML) can be conveniently applied to continuum materials simulations, allowing for the investigation of larger systems and longer timescales, pushing the limits... -
AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Small...
Agricultural field polygons within smallholder farming systems are essential to facilitate the collection of geo-spatial data useful for farmers, managers, and policymakers.... -
Code and data for the manuscript 'A numerical compass for experiment design i...
The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest... -
MD simulations and ML dataset of HLA-EpiCheck epitope predictor tool
This dataset contains all the data used to implement the B-cell epitope predictor tool called HLA-EpiCheck (see https://doi.org/10.1101/2023.12.18.572133). CONTENTS: -... -
Smart Active Particles Learn and Transcend Bacterial Foraging Strategies
Below you will find the codes and the trained model weights of the paper "Smart Active Particles Learn and Transcend Bacterial Foraging Strategies". -
Prediction of improvement in Personality Functioning. Utilisation of machine ...
Introduction. Since its introduction in the DSM-5 and the ICD-11, the construct of personality functioning has received increased research interest. Recent studies have shown... -
Learning from climate change news: Is the world on the same page?
Climate change challenges countries around the world, and news media are key to the public’s awareness and perception of it. But how are news media approaching climate change... -
6D Object Pose Estimation using 3D Object Coordinates [Data]
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth... -
Substituting density functional theory in reaction barrier calculations for h...
Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on... -
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate... -
DSAC* Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes... -
Learning the Likelihood: Using DeepInference for the Estimation of Diffusion...
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference... -
Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also... -
DSAC++ Visual Camera Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide... -
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC -
The benefits of forecasting inflation with machine learning: New evidence (re...
This is the replication package for "The benefits of forecasting inflation with machine learning: New evidence" by A. Naghi, E. O'Neill, and M. Zaharieva, Journal of Applied... -
EmbryoNet_Drug-screen_BML-2843_pt2
This dataset contains the drugscreen of the FDA-approved drug library (Enzo Screen Well BML 2843, Plates 3, 5, 6 ) including the imaging data (time lapse bright-field... -
DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Comp...
This data set contains implementation code and examples for the methodology described in the research article with the title "A Fuzzy Classification Framework to Identify...