eRum 2016 -- presentations

Day 1 (12.10) -- workshops, see: https://github.com/eRum2016/Workshops

Day 2 (13.10)

1. Welcome Session - Maciej Beręsewicz
2. Invited Talks I - chairman: Rasmus Bååth
   • Addressing the Gender Gap in the R Project - Heather Turner
   • Heteroscedastic Discriminant Analysis and its integration into ?mlR? package for uniform machine learning - Katarzyna Stapor
3. Parallel session I
   • Methodology 1 - chairman: Marcin Szymkowiak
     • Ensemble learning - idea and applications - Mateusz Filarowski
     • Ensemble learning - implementation with mlr - Tomasz Smolarczyk
   • Business 1 - chairman: Lukasz Wawrowski
     • Turning R into production ? make your models reality - Michal Zylinski
     • RevoScaleR - performance and scalability R - Lukasz Grala
     • Bringing R to Enterprise - Wit Jakuczun
     • Data science outside the box: Developing a generic scoring algorithm for customer acquisition - Erik Barzagar-Nazari
     • Embedding R in business processes - Andreas Wygrabek
   • Packages 1 - chairman: Tomasz Górecki
     • Reconciling forecasts: the hts package - Rob Hyndman
     • stplanr: an R package for transport planning - Robin Lovelace
     • brms: An R Package for Bayesian Multilevel Models using Stan - Paul-Christian Buerkner
     • Modules in R - Sebastian Warnholz
     • influence.SEM 2.0: An R Package for Sensitivity Analysis in Structural Equation Models - Massimiliano Pastore
4. Invited Talks II - chairman: Katarzyna Kopczewska
   • A survey of tools for Bayesian data analysis in R - Rasmus Bååth
   • Browse Till You Die: Scalable Hierarchical Bayesian Modeling of cookie deletion - Jakub Glinka
5. Parallel session II
   • Methodology 2 - chairman: Maciej Beresewicz
     • Unattended SVM parameters fitting for monitoring nonlinear profiles - Emilio L. Cano
     • SimonsSVM: A Fast and Scalable Support Vector Machine Implementation for R - Philipp Thomann
     • Discrete Choice Models in R - Daniel Guhl
     • Multivariate analysis of variance for functional data using R - Tomasz Górecki
     • Text Mining in R - Christoph Hoffmann
   • Business 2 - chairman: Adolfo Alvarez
     • Enterprise R Platform ? the what, the why and the how - David Kun
     • R in the Mittelstand: Bringing Data Science to small and mid-size companies - Oliver Bracht
     • R tools and tricks for marketing inference in a big internet company - Pawel Ladyzynski
     • Using Google Analytics with R - Michal Brys
     • Using R for backtesting algorithmic trading strategies on high-frequency data - Piotr Wojcik
   • Packages 2 - chairman: Marek Gagolewski
     • EnvCpt: An R package for changepoint identification in Environmental data - Rebecca Killick
     • archivist 2.0: News from Managing Data Analysis Results Toolkit - Marcin Kosinski
     • LimeRick: Bridge between LimeSurvey and R - Kamil Wais
     • An R package for consumer and sensory mapping: comparison of preference mapping stability - Rebhi Ibtihel
6. Invited Talks III - chairman: Heather Turner
   • Design of Experiments in R - Ulrike Grömping
   • How to use R to hack the publicly available data about skills of 2M+ worldwide students? - Przemyslaw Biecek
7. Parallel session III
   • Methodology III - chairman: Tomasz Klimanek
     • Classic and network based cluster analysis: together we're better - Adolfo Alvarez
     • M-quantile regression in R - Maciej Beresewicz
     • Is forest a pharmacy? - problems with data analyses - Marcin Dyderski
     • k Prototypes Clustering of Mixed Type Data - Gero Szepannek
   • Data workflow I - chairman: Marcin Kosinski
     • Dynamic Inflation Rate Calculation of Fast-Moving Consumer Goods: Shiny-SparkR App - Olgun Aydin
     • Introduction to RDruid - Michal Maj
     • Search phrases in e-commerce platform allegro.pl - big data analysis using SparkR - Anna Wróblewska
     • The full process of creating an R application in recommendation systems: from Dockerfile to Zabbix monitoring - Natalia Potocka
   • BioR - chairman: Przemyslaw Biecek
     • Are we ready for Personalized Medicine? - Pawel Labaj
     • N-gram analysis of biological sequences in R - Michal Burdukiewicz
     • R as an Environment for the Reproducible Analysis of DNA Amplification Experiments - Stefan Rödiger
     • Big data genomics data warehouses analyses with R - Marek Wiewiórka
     • Using SparkR with distributed database in Parquet - a genomic example - Michal Okoniewski
8. Poster session
   • What are sampling errors in the vegetation studies using visual estimation of presence and cover of plants? R can help - Damian Chmura
   • RNA-seq transcriptional profiling of PPD-b-stimulated peripheral blood from cattle infected with Mycobacterium bovis - Carolina Correia
   • Pharmacokinetics-driven modeling of metabolomics data - Emilia Daghir-Wojtkowiak
   • R as a tool for geospatial modeling in large dataset - example of dasymetric modeling at a continental scale (United States) - Anna Dmowska
   • Application of Artificial Neural Network to Planar Chromatography Data - Dimitri Fichou
   • cgmisc: enhanced genome-wide association analyses and visualization - Jagoda Jabłonska
   • Penalized regression inference regarding variable selection in regular and high dimensions: comparison of selected methods implemented in R - Marta Karas
   • Wrestling with big data in forestry: use of R in Scots pine site index analysis - Wojciech Kedziora
   • An R implementation of Kauffman's NK model - Tomasz Owczarek
   • R as an effective data mining tool in chemistry - Anna Rybinska
   • Applying genetic algorithms to calibrate a processing chain for a Landsat-based time series analysis of disturbance - regrowth dynamics in tropical forests - Fabián Santos
   • Modelling the distrubution of the bryophytes in different spatial scales - Sylwia Wierzcholska

Day 3 (14.10)

1. Invited talks IV - chairman: Matthias Templ
   • R and C++ - Romain Francois
   • Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm and its R interface - Marek Gagolewski
2. Invited talks V - chairman: Katarzyna Stapor
   • Simulation of complex synthetic data with the R package simPop - Matthias Templ
   • Geo-located point data: measurement of agglomeration and concentration - Katarzyna Kopczewska
3. Parallel session IV - chairman: Joanna Zyprych-Walczak
   • Lightning talks
     • R as a tool for graphical diagnostics in population pharmacokinetic modeling - Agnieszka Borsuk
     • Machine learning modeling of phenological phases in Poland - Bartosz Czernecki
     • Latent Class Analysis in Psychology - Pawel Kleka
     • Exploratory data analysis of a clinical study group - revealing patient subgroups - Bogumil Konopka
     • Multidimensional Clustering of Web Analytics Data - Alexander Kruse
     • R shiny server as core of multiple technologies into Travel Industry - Giovanni Lotti
     • Turning Text Mining into Language Mining: Corpus Linguistics in R - George Moroz
     • Structural bioinformatician's notebooks with pdbeeR and knitr - Pawel Piatkowski
     • Using R to incorporate data science into the undergraduate statistics curriculum - Paul Roback
     • Analysing the statistical effects of manipulated data - Luigi Lombardi
     • Cryptography in R - Jeroen Ooms
     • Visualizing changes in demographics with R - Piotr Sobczyk
     • R for pharmacokineticists - smulation of steady-state concentrations of amiodarone in heart compartmental model as an example - Zofia Tylutki
   • Data workflow II - chairman: Marcin Dyderski
     • Power of Java's RSession and rKafka in the data science team collaboration - Pawel Cejrowski
     • R Shiny for Real-time Analytics and Insight Delivery ? A Solution for Complex Data in Agriculture - Ming Shan
     • Seamless external R server integration with Excel with step-by-step debugging of the R code - Adam Ryczkowski
     • Workflow around modelling in Data Science / R - Filip Stachura
   • Education learning - chairman: Alicja Szabelska-Beręsewicz
     • Revolutionize how you teach and blog: add interactivity - Filip Schouwenaars
     • Aargh I have to teach R (Experiences in the teaching of R) - Martin Schneider
     • Using R for artistic purposes - Päivi Julin
     • Polish Diet Commissions - Text Analysis - Kamil Krawczyk
4. Closing session - Maciej Beręsewicz