Generative adversarial networks (GANs) are the new architecture of neural networks, in which two models are trained simultaneously and their adversarial relationship (playing […]
Ontoparty Autumn 2017/18
Learning Video Representations for Generating Descriptions
Analysis of source code reading
The main aim of the thesis is to determine, how the order of functions in the source code will affect the program comprehension […]
Recommendation Taking into Account the Time Aspects of Users and Items
Interpretabilty of Machine Learning Models created by Clustering Algorithms
Interpretability is a key characteristics of machine learning model, if our goal is to persuade experts from chosen domain, for which we propose […]
Aspect Based Sentiment Analysis
Improving Robustness Against Websites’ Changes During Web Data Extraction
General approach to dealing with changes to the websites’ structure during web extraction is to optimize the XPath expressions before executing the wrapper. […]