GHOST Day: Applied Machine Learning Conference

CW 8

11:45-12:15 Word sense disambiguation and mechanisms improving NLP - Mateusz Półtorak

12:15-12:45 Debugging black-box NLP models - Filip Graliński

12:45-13:15 Artificial intelligence - human emotions - Konrad Juszczyk

13:15-13:45 A long long time ago in an NLP model far far away - are computers able to create stories? - Dawid Wiśniewski

14:45-15:15 How to model students' knowledge using recurrent neural networks? - Mikołaj Olszewski, Mateusz Otmianowski

15:15-15:45 Machine Learning at the very edge with TensorFlow and beyond - Michael Gielda

15:45-16:15 OCR for Data Extraction from Receipts - Bartosz Ludwiczuk

16:15-16:45 Data Science in Cybersecurity - Zuzanna Kunik

CW 9

11:45-12:15 Hacking AI - Michał Łukaszewski

12:15-12:45 Scale-invariant online learning - Wojciech Kotłowski

12:45-13:15 Is practical AutoML more than CASH? - Alexandre Quemy

13:15-13:45 Scaling machine learning systems up to billions of predictions per day - Carmine Paolino

14:45-15:15 How to win Data Science competitions? (Student Session opening) - Paweł Sienkowski

15:15-15:45 Making your neural networks pay more attention - Dariusz Max Adamski

15:45-16:15 Unsupervised anomaly detection in multivariate time series data - Damian Horna

16:15-16:45 GhostRacer - towards self-driving cars - Jakub Tomczak

CW 7

11:45-12:45 Learning binary image representations and the path towards 3D - Tomasz Trzciński

12:45-13:45 How to find that red dress? - Visual Search in Allegro - Piotr Rybak

14:45-15:15 Transfer learning in healthcare industry - Michał Kierzynka

15:15-15:45 Sound event detection using self-consistency checking neural networks - Tomasz Grzywalski

15:45-16:15 The machine learning for de novo drug design - Rafał A. Bachorz

16:15-16:45 Prediction of phase change in CHAD bipolar disorder - Olga Kamińska