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useR!2017
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BREAK
Conference Event
Invited Talk
Lightning Talk
All
Biostatistics
Business/Machine learning
Community/Education
Ecology/Statistics
General
Reporting
R Initiatives
Sponsor talk
Talk
All
Bioinformatics I
Bioinformatics II
Business and Management
Clustering
Community
Data management
Data reproducibility
Education
GIS
Graphics
HPC
Kaleidoscope I
Kaleidoscope II
Machine Learning I
Machine Learning II
Medical statistics
Methods I
Methods II
Methods in Business and Finance
Missing Data
Packages
Programming I
Programming II
Psychometrics and social statistics
Shiny I
Shiny II
Statistical Modelling I
Statistical Modelling II
Text Mining
Web
Tutorial
Company
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
40
41
42
43
58
74
105
106
107
108
110
111
112
117
143
164
174
175
177
182
186
189
191
193
195
197
203
204
205
206
207
209
237
238
239
260
264
272
274
292
303
307
309
321
323
331
333
341
345
347
370
377
381
383
387
393
395
400
406
408
414
419
422
424
426
434
440
442
458
464
466
468
470
482
484
486
488
492
502
510
512
514
516
522
532
536
542
550
556
561
563
573
578
582
584
588
594
601
620
622
627
630
634
640
648
653
657
659
666
671
677
679
681
685
695
697
699
701
720
723
725
727
729
735
738
740
743
745
747
757
761
770
772
774
776
778
786
790
794
798
800
802
804
806
813
831
839
841
843
845
855
859
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
1066
1068
1072
1087
1102
1111
1119
1131
1144
1152
1154
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1160
1164
1168
1175
1179
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1185
1189
1191
1201
1205
1245
Popular
M
Miks
TWINO
Data Scientist
Latvia, Riga
Monday
, July 3
6:30pm
Sessions for useR! Newbies
PLENARY
Tuesday
, July 4
8:00am
REGISTRATION
Wild Gallery
9:30am
Introduction to parallel computing with R
3.01
11:00am
COFFEE BREAK
CATERING POINTS
11:30am
Introduction to parallel computing with R
3.01
1:00pm
LUNCH
CATERING POINTS
2:00pm
Introduction to Natural Language Processing with R
3.02
4:00pm
Introduction to Natural Language Processing with R
3.02
Wednesday
, July 5
9:00am
WELCOME
PLENARY
9:15am
Sponsor Talk Microsoft
PLENARY
9:30am
KEYNOTE: Structural Equation Modeling: models, software and stories
PLENARY
10:30am
COFFEE BREAK
CATERING POINTS
11:00am
Transformation Forests
2.02
11:18am
A Benchmark of Open Source Tools for Machine Learning from R
2.02
11:36am
Distributional Trees and Forests
2.02
11:54am
mlrHyperopt: Effortless and collaborative hyperparameter optimization experiments
2.02
12:12pm
The Revised Sequential Parameter Optimization Toolbox
2.02
12:30pm
LUNCH
CATERING POINTS
1:30pm
The use of R in predictive maintenance: A use case with TRUMPF Laser GmbH
2.02
1:48pm
Too good for your own good: Shiny prototypes out of control
2.02
2:06pm
Beyond Prototyping: Best practices for R in critical enterprise environments
2.02
2:24pm
Implementing Predictive Analytics projects in corporate environments
2.02
3:00pm
COFFEE BREAK
CATERING POINTS
3:30pm
Sponsor Talk Data Camp
PLENARY
3:45pm
KEYNOTE: Teaching data science to new useRs
PLENARY
4:45pm
COFFEE BREAK
CATERING POINTS
5:00pm
Navigating the R package universe
PLENARY
6:30pm
Poster Reception
CATERING POINTS
Thursday
, July 6
9:15am
Sponsor Talk Open Analytics
PLENARY
9:30am
KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R*
PLENARY
10:30am
COFFEE BREAK
CATERING POINTS
11:00am
moodler: A new R package to easily fetch data from Moodle
4.02
11:18am
Can you keep a secret?
4.02
11:36am
Scraping data with rvest and purrr
4.02
11:54am
jug: Building Web APIs for R
4.02
12:30pm
LUNCH
CATERING POINTS
1:30pm
ReinforcementLearning: A package for replicating human behavior in R
3.02
1:48pm
Deep Learning for Natural Language Processing in R
3.02
2:06pm
R4ML: A Scalable R for Machine Learning
3.02
2:24pm
Computer Vision and Image Recognition algorithms for R users
3.02
2:42pm
*implyr**: A **dplyr** Backend for a Apache Impala
2.01
Depth and depth-based classification with R package **ddalpha**
3.02
3:00pm
COFFEE BREAK
CATERING POINTS
3:30pm
Sponsor Talk Rstudio
PLENARY
3:45pm
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
4:45pm
SPONSOR TALK EODA
PLENARY
4:55pm
SPONSOR TALK ORACLE
PLENARY
5:00pm
SPONSOR TALK MANGO SOLUTIONS
PLENARY
5:05pm
SPONSOR TALK ALTERYX
PLENARY
5:15pm
COFFEE BREAK
CATERING POINTS
5:30pm
R and Tableau Integration: A Case approach
2.02
5:35pm
The dataCompareR package
2.02
5:40pm
Use of templates within an R package to create a (semi-)automated analysis workflow and/or report
2.02
5:45pm
R in a Pharmaceutical Company
4.02
5:50pm
Using R to Analyze Healthcare Cost of Older Patients Using Personal Emergency Response Service
4.02
5:55pm
Statistics hitting the business front line
4.02
6:00pm
An example of Shiny tool at Nestlé R&D, an enabler to guide product developers in designing gluten free biscuits
4.02
6:05pm
Using R for optimal beer recipe selection
4.02
6:10pm
Candy Crush R Saga
4.02
Friday
, July 7
9:15am
Sponsor Talk Rconsortium
PLENARY
9:30am
KEYNOTE: R tools for the analysis of complex heterogeneous data
PLENARY
10:30am
COFFEE BREAK
CATERING POINTS
11:00am
Programming with tidyverse grammars
4.02
11:18am
Interactive bullwhip effect exploration using SCperf and Shiny
2.02
11:36am
Markov-Switching GARCH Models in R: The MSGARCH Package
2.02
papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community
PLENARY
11:54am
R and Haskell: Combining the best of two worlds
2.02
shiny.collections: Google Docs-like live collaboration in Shiny
PLENARY
12:12pm
LUNCH
CATERING POINTS
1:15pm
KEYNOTE: 20 years of CRAN
PLENARY
2:15pm
CLOSING
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BRUSSELS EXPO
Brussels South Train Station
CATERING POINTS
PLENARY
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BREAK
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Bioinformatics I
Bioinformatics II
Business and Management
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Data reproducibility
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GIS
Graphics
HPC
Kaleidoscope I
Kaleidoscope II
Machine Learning I
Machine Learning II
Medical statistics
Methods I
Methods II
Methods in Business and Finance
Missing Data
Packages
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Programming II
Psychometrics and social statistics
Shiny I
Shiny II
Statistical Modelling I
Statistical Modelling II
Text Mining
Web
Tutorial
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38
40
41
42
43
58
74
105
106
107
108
110
111
112
117
143
164
174
175
177
182
186
189
191
193
195
197
203
204
205
206
207
209
237
238
239
260
264
272
274
292
303
307
309
321
323
331
333
341
345
347
370
377
381
383
387
393
395
400
406
408
414
419
422
424
426
434
440
442
458
464
466
468
470
482
484
486
488
492
502
510
512
514
516
522
532
536
542
550
556
561
563
573
578
582
584
588
594
601
620
622
627
630
634
640
648
653
657
659
666
671
677
679
681
685
695
697
699
701
720
723
725
727
729
735
738
740
743
745
747
757
761
770
772
774
776
778
786
790
794
798
800
802
804
806
813
831
839
841
843
845
855
859
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
1066
1068
1072
1087
1102
1111
1119
1131
1144
1152
1154
1156
1160
1164
1168
1175
1179
1183
1185
1189
1191
1201
1205
1245
Popular
Recently Active Attendees
Steven A. Rodriguez
Dan Vlamis
Karen Ryberg
gstricker
Sondra M Stegenga
Rob Campanell
Timo Grossenbacher
Patrick Stotz
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