SatRday Gdansk Program

Olgun Aydın
Olgun AydınSenior Data Scientist

SatRday Gdansk Program

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
Krzysztof Sprycha
(Room 463)
Michał Maj
(Room 252)
Jan Wasilewski
Jakub Borkowski
(Room 202)
Saturday, May 18th
Conference
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)
18:00-18:15 Farewell
18:30 Guided tour
20:00 Evening paRty!

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SatRday Gdansk Program

  • 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 Krzysztof Sprycha (Room 463) Michał Maj (Room 252) Jan Wasilewski Jakub Borkowski (Room 202) Saturday, May 18th Conference 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)
  • 2. 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
  • 3. Katarzyna Sidorczuk HaDeX - analysis of HDX-MS data Weronika Puchała drake: reproducible workflow management in R Dominik Rafacz (Room 252) 18:00-18:15 Farewell 18:30 Guided tour 20:00 Evening paRty!