Program 2017/2018 | datalys - Data Analysis Research Group

26.04.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Patrik Blanárik: Prediction of Project Success on Crowdfunding Portals
Michaela Balážová: Customer Behaviour Prediction in an E-shop
Peter Babinec: Evaluating the Content Quality of Discussions in MOOC Systems

19.04.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Branislav Pecher: Interpretability of neural network models
Ondrej Kaščák: Location-aware Recommender Systems
Elena Štefancová: Recommendation Taking the Time Aspects of Users and Items into Account

12.04.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Júlia Krajčoviechová: Prediction of User Return to Website
Kamil Janeček: Customer’s Satisfaction Prediction by means of Data from Customer Support
Ľubomír Koprla: Interpretability and Explainability of Machne Learning Models

05.04.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Matej Končál: Purchase Prediction in E-shop
Andrej Zaťko: Impact of images on the user behaviour on Web
Matej Sojka: Presentation of the Recommender System Results

22.03.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Matúš Kalafut: Purchase Prediction in E-shop
Michal Kren: Improving Robustness Against Websites’ Changes During Web Data Extraction
Tomáš Jendrejčák: Prediction of User Return to Website

15.03.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Ivan Srba: Introduction to Matrix Factorization
Peter Gašpar: Recommendation in Practice II. – How to start with recommendation in Python

08.03.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Peter Gašpar: Recommendation in Practice I. – Recommendation libraries

01.03.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

AI Research Residency Programs
Discussion about evaluation – methods, challenges and problems (Part 2)
Juraj Flamík – Recognition of similarities in user behavior in data stream

22.02.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Discussion about evaluation – methods, challenges and problems (Part 1)

15.02.2018, 1.31 (Job’s studio), 11:00 » Datalys Seminar

Introduction, organization
Ondrej Kaššák: A Few Useful Things to Know about Machine Learning

27.11.2017, -1.58, 16:00 » Data Science Club

Jakub Ševcech (FIIT): Feature Extraction (zip, pdf)
Jakub Mačina (Exponea): Natural Language Processing

23.11.2017, -1.57, 10:00 » Datalys Seminar

Jakub Ševcech: Evaluation Methodology (zip, pdf)
Veronika Balážová: Prediction of Users’ Personality Traits During Task Solving in Information System

13.11.2017, -1.58, 16:00 » Data Science Club

Ivan Trančík (Cellense): Why Successful Games Need Analytics
Tomáš Synek and Matúš Nagy (Adastra Slovakia): Workshop: Data Warehousing and SQL

9.11.2017, -1.57, 10:00 » PeWe/Datalys Seminar

Igor Farkaš (FMFI UK Bratislava): Connectionism modelling in cognitive robotics

Kognitívna robotika sa zameriava na vysvetľovanie inteligentného správania človeka tým, že konštruuje roboty (fyzické alebo simulované), vybavené mechanizmami učenia. V rámci prednášky predstavíme paradigmy strojového učenia pomocou umelých neurónových sietí (s učiteľom, bez učiteľa, posilňovaním) a ich využitie pri riešení konkrétnych problémov v robotike ako napríklad vznik referenčných rámcov v priestore, vznik somatosenzorických reprezentácií tela alebo schopnosť siahať na objekty a uchopovať ich.

30.10.2017, -1.58, 16:00 » Data Science Club

Juraj Sottnik (Exponea): How to Choose a Storage for E-shop Clickstream Data presentation
Jakub Ševcech (FIIT STU): Introduction to Exploratory Analysis: Measures, Visualizations and Practical Examples (zip, pdf)

26.10.2017, -1.57, 10:00 » PeWe/Datalys Seminar