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← Back
JL
Jasmien L.
KU Leuven
PhD Researcher
Leuven, Belgium
Tuesday
, July 4
8:00am CEST
REGISTRATION
Wild Gallery
9:30am CEST
Rcpp: From Simple Examples to Machine Learning
PLENARY
11:00am CEST
COFFEE BREAK
CATERING POINTS
11:30am CEST
Rcpp: From Simple Examples to Machine Learning
PLENARY
1:00pm CEST
LUNCH
CATERING POINTS
2:00pm CEST
Efficient R Programming
PLENARY
3:30pm CEST
COFFEE BREAK
CATERING POINTS
4:00pm CEST
Efficient R Programming
PLENARY
5:30pm CEST
WELCOME RECEPTION
CATERING POINTS
Wednesday
, July 5
8:00am CEST
REGISTRATION
Wild Gallery
9:00am CEST
WELCOME
PLENARY
9:15am CEST
Sponsor Talk Microsoft
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
How we built a Shiny App for 700 users?
4.02
Transformation Forests
2.02
11:18am CEST
A Benchmark of Open Source Tools for Machine Learning from R
2.02
A restricted composite likelihood approach to modelling Gaussian geostatistical data
2.01
11:36am CEST
Distributional Trees and Forests
2.02
EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks
3.01
11:54am CEST
mlrHyperopt: Effortless and collaborative hyperparameter optimization experiments
2.02
12:12pm CEST
Maps are data, so why plot data on a map?
PLENARY
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
Integrated Cluster Analysis with R in Drug Discovery Experiments using Multi-Source Data
2.01
1:48pm CEST
**RQGIS** - integrating *R* with QGIS for innovative geocomputing
3.01
Architectural Elements Enabling R for Big Data
3.02
Clustering transformed compositional data using *coseq*
2.01
2:06pm CEST
Extracting Meaningful Noisy Biclusters from a Binary Big-Data Matrix using the BiBitR R Package
2.01
Link2GI - Easy linking Open Source GIS with R
3.01
2:24pm CEST
Implementing Predictive Analytics projects in corporate environments
2.02
kmlShape: clustering longitudinal data according to their shapes
2.01
3:00pm CEST
COFFEE BREAK
CATERING POINTS
3:30pm CEST
Sponsor Talk Data Camp
PLENARY
4:45pm CEST
COFFEE BREAK
CATERING POINTS
6:30pm CEST
Poster Reception
CATERING POINTS
Thursday
, July 6
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
**rags2ridges**: A One-Stop-Go for Network Modeling of Precision Matrices
3.01
Bayesian social network analysis with Bergm
4.01
11:18am CEST
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
2.02
11:36am CEST
**BradleyTerryScalable**: Ranking items scalably with the Bradley-Terry model
4.01
Biosignature-Based Drug Design: from high dimensional data to business impact
2.01
Scraping data with rvest and purrr
4.02
11:54am CEST
jug: Building Web APIs for R
4.02
Show me the errors you didn't look for
2.02
12:12pm CEST
FFTrees: An R package to create, visualise and use fast and frugal decision trees
PLENARY
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
An Efficient Algorithm for Solving Large Fixed Effects OLS Problems with Clustered Standard Error Estimation
3.01
R-based computing with big data on disk
2.01
ReinforcementLearning: A package for replicating human behavior in R
3.02
1:48pm CEST
Daff: diff, patch and merge for data.frames
2.01
Deep Learning for Natural Language Processing in R
3.02
Package ggiraph: a ggplot2 Extension for Interactive Graphics
4.02
2:06pm CEST
R4ML: A Scalable R for Machine Learning
3.02
2:24pm CEST
Computer Vision and Image Recognition algorithms for R users
3.02
mapedit - interactive manipulation of spatial objects
4.02
2:42pm CEST
Exploring and presenting maps with **tmap**
4.02
3:00pm CEST
COFFEE BREAK
CATERING POINTS
3:30pm CEST
Sponsor Talk Rstudio
PLENARY
3:45pm CEST
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
5:15pm CEST
COFFEE BREAK
CATERING POINTS
5:30pm CEST
rdwd – manage German weather observations
2.01
5:35pm CEST
Preparing Datetime Data with Padr
3.01
5:40pm CEST
Automatic Machine Learning in R
4.02
Use of templates within an R package to create a (semi-)automated analysis workflow and/or report
2.02
5:45pm CEST
graphiT: an interactive, user-friendly tool to produce graphics based on the grammar of graphics' principles
2.02
5:50pm CEST
**heatmaply**: an *R* package for creating interactive cluster heatmaps
2.02
5:55pm CEST
map data from **naturalearth** : aiming for sustainability through specialisation and **rOpenSci**
2.01
Plot Colour Helper – Finally an easy way to pick colours for your R plots!
2.02
Statistics hitting the business front line
4.02
The R package bigstatsr: Memory- and Computation-Efficient Statistical Tools for Big Matrices
3.01
6:00pm CEST
An example of Shiny tool at Nestlé R&D, an enabler to guide product developers in designing gluten free biscuits
4.02
bsplus: Using Twitter Bootstrap to extend your Shiny app
2.02
Introducing the DynNom package for the generation of dynamic nomograms
4.01
OpenSpat, spread the spatial world
2.01
6:05pm CEST
Functional Input Validation with valaddin
3.01
Graduate from plot to ggplot2: Using R to visualize the story of Ebola survivors in the PREVAIL III Ebola Natural History Study
4.01
Using R for optimal beer recipe selection
4.02
6:10pm CEST
Candy Crush R Saga
4.02
minimalRSD and FMC: R packages to construct cost efficient experimental designs
2.01
6:15pm CEST
Gamifyr: Transforming Machine Learning Tasks into Games with Shiny
4.02
6:20pm CEST
Data Error! But where?
3.01
Ultra-Fast Data Mining With The R-KDB+ Interface
4.02
6:30pm CEST
Buses
Wild Gallery
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
9:30am CEST
KEYNOTE: R tools for the analysis of complex heterogeneous data
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
12:12pm CEST
LUNCH
CATERING POINTS
2:15pm CEST
CLOSING
Wild Gallery
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Brussels South Train Station
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997
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1245
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