Filter Results
12476 results
This is the case study results for paper "Sentiment Analysis of Disaster Response".
Data Types:
  • Software/Code
  • Dataset
  • Document
This dataset presents data from orientation to happiness indicators of university teachers and students from two Latin American countries: Mexico and El Salvador.
Data Types:
  • Software/Code
  • Dataset
The data set comprises of 9 nutritional traits among newly-developed clones across six environments in Ethiopia.
Data Types:
  • Tabular Data
  • Dataset
Preprocessed EEG data, behavioral measures, participants infos and experiment code for the study 'An ecological measure of rapid and automatic face-sex categorization'. Please find additional information in 'READ_ME.txt' file.
Data Types:
  • Other
  • Image
  • Tabular Data
  • Dataset
  • Text
  • File Set
Anonymized dataset of 540 typically developing individuals genotyped for 5 SNPs within the SNORD116 gene and phenotyped for schizotypal and autism spectrum personality traits. (AQ and SPQ-brief).
Data Types:
  • Tabular Data
  • Dataset
Dataframes (RDA) and scripts for data analysis (R) of the MS entitled "Searching for relief: Drosophila melanogaster navigation in a virtual bitter maze". Comments on R scripts will provide a step-by-step guide to data analysis. "BitterPlaceLearning_Script.m" is the script used to live-track single flies and deliver optogenetic stimulation according to the fly position in the arena
Data Types:
  • Software/Code
  • Dataset
This repository contains three data sets, which can be used to reproduce part of the case study in our paper “Machine learning-based leakage fault detection for district heating networks”. Specifically, Table A and Table B are the data sets used for training and testing the leakage fault detection (LFD) model in Section 4.4 of the paper. Table C presents the raw confusion matrix of the LFD results on the test set in Section 4.4.5 of the paper.
Data Types:
  • Tabular Data
  • Dataset
Correlation matrices
Data Types:
  • Tabular Data
  • Dataset
In active learning, Optimally Balanced Entropy-Based Sampling (OBEBS) method is a selection strategy from unlabelled data. At active zero-shot learning there is not enough information for supervised machine learning method, thus, our sampling strategy was based on unsupervised learning (clustering). The cluster membership likelihoods of the items were essential for the algorithm to connect the clusters and the classes; i.e. to find assignment between them. For best assignment, Hungarian algorithm was used. We developed and implemented adaptive assignment variants of OBEBS method in the software.
Data Types:
  • Software/Code
  • Dataset
  • Text
This is analytical proofs and raw data for research article, “The Influence of Dependability in Adopting Cloud Computing: Focus on Similarities and Differences by IT Intensity and Service Type”. The original study explored the role of a multi-faceted dependability in cloud computing adotion, focusing on clarifying the similarities and differences by IT intensity (by industry) and service type. This article is consists of analytical proofs, measurement items, analytic tables, and raw data. Files included are as follows. ○ File 1 - Title: Details of prior studies on cloud computing adoption - Description: This file presents a review of seventy-nine studies (2009 to 2019) that focused on the adoption of cloud computing adoption at both individual and organizational level. ○ File 2 - Title: Measurement items - Description: This file reports details of the measurement items used in the original research article. ○ File 3 - Title: Samples profiles - Description: This file shows the demographic profiles of the samples. ○ File 4 - Title: Results of measurement invariance test - Description: This file shows the results of measurement invariance test. ○ File 5 - Title: Results of multicollinearity - Description: This file shows the results of variance inflation factor (VIF). ○ File 6 - Title: Hypothesis test results (table format) - Description: This file shows the results of hypothesis test on both full data set and subgroups. ○ File 7 - Title: results of mediation test for full data set - Description: This file shows the results of hypothesis test on both full data set and subgroups. ○ File 8 - Title: results of mediation test for IT intensity by industry - Description: This file shows the results of hypothesis test on IT intensity by industry ○ File 9 - Title: results of mediation test for for service type - Description: This file shows the results of hypothesis test on on service type ○ File 10 - Title: data - Description: This file contains raw data for the original study: 230 samples were used for its analysis.
Data Types:
  • Software/Code
  • Dataset
  • Document
8