Days/times

Dec. 14 (Thursday)  10:00am to 8:00pm (including dinner)

Dec. 15 (Friday)        10:00am to 2:00pm

 

Detailed schedule

Dec. 14 (Thursday)

Session 1: High-Dimensional Data I – Genetics (Chair: J. Harezlak)

10:00 – 10:15   Introduction (J. Harezlak)

10:15 – 11:00   Sorted L-One Penalized Estimation (M. Bogdan)

11:00 — 11:45   Integrated Machine Learning Genetic Signatures (MLGenSig) based on gene expression and DNA methylation with applications to The Cancer Genome Atlas project (P. Biecek)

11:45 – 12:00   MLExpResso: a tool for integrative analyses and visualization of gene expression and DNA methylation data (A. Gosiewska)

12:00 – 12:15   Large scale predictive modeling for lung cancer (A. Grudziaz)

 

12:15 – 13:15        Lunch

Session 2: Brain Imaging I (Chair: M. Straczkiewicz)

13:15 – 14:00   A time-varying AR coefficient model of functional near-infrared spectroscopy data (T. Johnson)

14:00 – 14:45  Towards in-vivo histology of the brain (J. Polzehl)

14:45 – 15:15   Finding graphs in the brain (D. Brzyski)

 

15:15 – 15:45       Coffee break

Session 3: Brain Imaging II (Chair: P. Drozd)

15:45 – 16:30  Adaptive smoothing of Multi Parameter Maps (K. Tabelow)

16:30 – 17:15   A longitudinal Bayesian model for spectral analysis of neuroimaging time series data (M. Fiecas)

17:15 – 17:30   Local interpretability of machine learning models (M. Staniak)

 

18:00  — 20:00    Dinner at the “Il nuovo primo” (Fontanepromenade 1, 10967 Berlin – Kreuzberg) – 10 minute walk

 

Dec. 15 (Friday)

Session 4: High-Dimensional Data II (Chair: D. Brzyski)

10:00 – 10:15   Agent-based modeling of spread of public opinion (P. Drozd)

10:15 – 10:30   How much do we know about our clients? A short story on recommendation systems (M. Halupka)

10:30 – 11:15    Analyzing Non-Stationary High-Dimensional Time Series: Structural Break Detection and Parameter Estimation (A. Shojaie)

 

11:15 – 11:45       Coffee break

Session 5: High-Dimensional Data III – Raw Accelerometry (M. Staniak)

11:45  – 12:30   What can raw accelerometry data tell us about human activity? Walking vs. stair climbing (J. Harezlak)

12:30 – 13:00   Challenges in walking recognition using accelerometers at various body locations (M. Straczkiewicz)

13:00 – 14:00    General discussion and lunch

 

 

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