nunompmoniz

Pinned Repositories

atomic
Automated Imbalanced Classification - R Package
00
autoresampling
AutoML Solution for Imbalanced Domain Learning [R Package]
Language:R31
datasets
Todos os datasets que criámos com a informação do Parlamento.
00
ElectionData
Time Series Data on the 2019 Parliamentary Elections in Portugal
Language:R23
HT2018
Code and Data for "The Utility Problem of Web Content Popularity Prediction" Submission.
Language:R10
IRon
R Package for Imbalanced Regression
Language:R18 2 13
politwoops
politwoops
10
ReBoost
An R Package with Boosting and SMOTEBoost implementations for Regression Tasks
Language:R3 2 03
ResampStrat_DSAA2016
Resampling Strategies for Imbalanced Time Series (Code + Data)
Language:R3 2 02
TSResampStrat_JDSA2017
Resampling Strategies for Imbalanced Time Series Forecasting (Code + Data)
Language:R3 3 03

nunompmoniz's Repositories

nunompmoniz/IRon
R Package for Imbalanced Regression
Language:R18 2 13
nunompmoniz/autoresampling
AutoML Solution for Imbalanced Domain Learning [R Package]
Language:R31
nunompmoniz/ReBoost
An R Package with Boosting and SMOTEBoost implementations for Regression Tasks
Language:R3 2 03
nunompmoniz/ResampStrat_DSAA2016
Resampling Strategies for Imbalanced Time Series (Code + Data)
Language:R3 2 02
nunompmoniz/TSResampStrat_JDSA2017
Resampling Strategies for Imbalanced Time Series Forecasting (Code + Data)
Language:R3 3 03
nunompmoniz/ElectionData
Time Series Data on the 2019 Parliamentary Elections in Portugal
Language:R23
nunompmoniz/HT2018
Code and Data for "The Utility Problem of Web Content Popularity Prediction" Submission.
Language:R10
nunompmoniz/politwoops
politwoops
10
nunompmoniz/atomic
Automated Imbalanced Classification - R Package
00
nunompmoniz/datasets
Todos os datasets que criámos com a informação do Parlamento.
00
nunompmoniz/DSAA2018
SMOTEBoost for Regression
Language:R2 0
nunompmoniz/Ensembles_LIDTA2017
Evaluation of Ensemble Methods in Imbalanced Regression Tasks
Language:R
nunompmoniz/EPIA2016_JournalTrack
Paper submitted to the journal track of EPIA 2016
Language:R
nunompmoniz/HighPopNewsPred_DS2016
Code (in R) and Data to reproduce experiments in paper submitted to Discovery Science 2016
Language:R
nunompmoniz/IDL
Methods for Tackling Imbalanced Domain Learning Tasks in R
Language:R
nunompmoniz/JSON-java
A reference implementation of a JSON package in Java.
Language:Java
nunompmoniz/nosqueremossaber-theme
Theme for Italian Alaveteli site
Language:HTML
nunompmoniz/PhDThesis
Prediction and Ranking of Highly Popular Web Content
nunompmoniz/poppredR
R Package: Popularity Prediction Methods for Social Media Content
Language:R
nunompmoniz/RankEval_arXiv
Paper "Data-Driven Relevance Judgments for Ranking Evaluation" @ arXiv
Language:R2 0
nunompmoniz/rewind
An R Package of Biased Resampling Strategies for Time Series
Language:R
nunompmoniz/TimeBasedEnsembles_SOMERIS2016
Code (in R) and Data to reproduce experiments in paper submitted to Data Science and Advanced Analytics (DSAA) 2016 Conference
Language:R2 0
nunompmoniz/v74
LIDTA 2017 Proceedings
Language:TeX
nunompmoniz/vest
Automatic Feature Engineering for Time Series