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Friday, May 17th
Workshops
15:30 –16:00
Registration
(Hall)
16.00 - 20.00
Modern and
beautiful
dashboards:
building Shiny apps
using SemanticUI
components
Introduction to
Deep Learning in
R with Keras
Introduction to
Tidyverse
Dominik Krzemiński
(Room 463)
Michał Maj
(Room 252)
Jan Wasilewski
Jakub Borkowski
(Room 403a)
Saturday, May 18th
HOUR PROGRAM
8.00-9:00
Registration
(Hall)
9.00-9.30
Few words from organizers
(Room 252)
9.30-10.00
Sponsors session
(Room 252)
10.00-11:00
Joint modeling and dynamic predictions with
applications to cancer research using R package frailtypack
Agnieszka Król
(Room 252)
11.00-11.30 Coffee break (Hall)
11.30-12.00
predPCR: an automated
classification of qPCR curves
Michał Burdukiewicz
(Room 252)
AmyloGram: analysis of
proteins in R
Jarosław Chilimoniuk
(Room 211)
12.00- 12:30
Nonnegative Matrix Factorization
as a Tool to Segment Respondents
in a High Dimensional Survey
Marcin Kosiński
(Room 252)
A Case Study on Machine
Learning Classification
Algorithms in R
Olgun Aydin & Ezgi Nazman
(Room 211)
12:30 – 13:30
Machine Learning meets Design, Design meets Machine
Learning
Przemysław Biecek & Hanna Piotrowska
(Room 252)
13.30-15.00 Lunch break (Hall)
15.00-15.30
Tuning & Bootstrapping
Performance of ML Model
Monika Nawrocka
(Room 252)
Sit, relax, monitor. How to
maintain models and how
R can help?
Natalia Reszka
(Room 211)
15.30-16:30
Drawing ROC curves
Błażej Kochański
(Room 252)
16.30-17.00 Coffee break (Hall)
17.00-17.30
A shiny application enabling
facial attractiveness evaluation
for purposes of plastic surgery
Lubomír Štěpánek
(Room 252)
Elasticsearch and R - deal
with it!
Bartłomiej Staszkiewicz
(Room 211)
17.30-18.00
Bayesian inference in big data analysis
Katarzyna Sidorczuk
HaDeX - analysis of HDX-MS data
Weronika Puchała
drake: reproducible workflow management in R
Dominik Rafacz
(Room 252)
19.00+ Evening paRty!

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Program final 24_04

  • 1. Friday, May 17th Workshops 15:30 –16:00 Registration (Hall) 16.00 - 20.00 Modern and beautiful dashboards: building Shiny apps using SemanticUI components Introduction to Deep Learning in R with Keras Introduction to Tidyverse Dominik Krzemiński (Room 463) Michał Maj (Room 252) Jan Wasilewski Jakub Borkowski (Room 403a) Saturday, May 18th HOUR PROGRAM 8.00-9:00 Registration (Hall) 9.00-9.30 Few words from organizers (Room 252) 9.30-10.00 Sponsors session (Room 252) 10.00-11:00 Joint modeling and dynamic predictions with applications to cancer research using R package frailtypack Agnieszka Król (Room 252) 11.00-11.30 Coffee break (Hall) 11.30-12.00 predPCR: an automated classification of qPCR curves Michał Burdukiewicz (Room 252) AmyloGram: analysis of proteins in R Jarosław Chilimoniuk (Room 211)
  • 2. 12.00- 12:30 Nonnegative Matrix Factorization as a Tool to Segment Respondents in a High Dimensional Survey Marcin Kosiński (Room 252) A Case Study on Machine Learning Classification Algorithms in R Olgun Aydin & Ezgi Nazman (Room 211) 12:30 – 13:30 Machine Learning meets Design, Design meets Machine Learning Przemysław Biecek & Hanna Piotrowska (Room 252) 13.30-15.00 Lunch break (Hall) 15.00-15.30 Tuning & Bootstrapping Performance of ML Model Monika Nawrocka (Room 252) Sit, relax, monitor. How to maintain models and how R can help? Natalia Reszka (Room 211) 15.30-16:30 Drawing ROC curves Błażej Kochański (Room 252) 16.30-17.00 Coffee break (Hall) 17.00-17.30 A shiny application enabling facial attractiveness evaluation for purposes of plastic surgery Lubomír Štěpánek (Room 252) Elasticsearch and R - deal with it! Bartłomiej Staszkiewicz (Room 211) 17.30-18.00 Bayesian inference in big data analysis Katarzyna Sidorczuk HaDeX - analysis of HDX-MS data Weronika Puchała drake: reproducible workflow management in R Dominik Rafacz (Room 252) 19.00+ Evening paRty!