Data Analysis, Mining and Machine Learning (PeWe.Data)
- Tomáš Bako: Identification of users’ similar behavior in order to predict leaving of the site
- Patrik Berger: Predicting User Retention in online enviroment
- Martin Borák: Detection of anti-social behavior in online communities
- Matúš Cimerman: Stream analysis of incoming events using different data analysis methods
- Natália Čuláková: Analysis of trends in the behaviour of users of the web site
- Patrik Gajdošík: Learning Video Representations for Generating Descriptions
- Tomáš Chovaňák: Recognition of Web user’s behavioural patterns
- Martin Jakubík: Predicting User Activity on Twitter
- Jakub Janeček: Executable documents on data analysis
- Ondrej Kaššák: User short-term behaviour modelling
- Michal Kren: Ensuring Robustness against Changes in Web Sites During Data Extraction
- Lukáš Marták: Modelling Music Structure using Artificial Neural Networks
- Lukáš Meňhert: Visualization of user activity in an interactive application
- Jakub Mrocek: Text reading analysis
- Martin Olejár: Conflict detection and visualization in software models
- Metod Rybár: Deep Learning for Achievement of Advancement in Machcine Learning and Artificial Intelligence
- Adam Rafajdus: Generative Adversarial Networks
- Jakub Ševcech: Processing Time Series as Symbols
- Ondrej Čerman: Personalized recommendation of TV program
- Peter Gašpar: Revealing Information on Social Adaptive Web
- Veronika Gondová: Web services consumer behavior analysis for improving recommendation
- Mário Hunka: Scalable personalized recommendation
- Adrián Huňa: Supporting Online Student Communities by Utilization of Questions and Answers Archives
- Jakub Mačina: Recommendation of New Questions in Online Student Communities
- Tomáš Matlovič: Methods for feedback recommendation in the domain of programming
- Marek Roštár: Personalized recommender with taking into account visual inputs
- Matúš Salát: User segmentation for personalization of newsletters in CQA systems
- Martin Šrank: Improving Diversity and Freshness of Newsletters in CQA Systems
Text Processing and Search (PeWe.Text)
- Ondrej Čičkán: Comment classification in Community Question Answering
- Jakub Gedera: Reconstruction and Normalization of Slovak Texts
- Štefan Grivalský: Natural language processing using neural networks
- Michal Hucko: Looking for interensting places in user’s records
- Rastislav Krchňavý: Aspect-Based Sentiment Analysis
- Lukáš Manduch: Active fight against spam
- Róbert Móro: Navigation Leads for Exploratory Search and Navigation in Digital Libraries
- Samuel Pecár: Ontology learning from text
- Branislav Pecher, Michal Kováčik, Jozef Mláka, Pavol Ondrejka: Development of Inovative Application in International Competition
- Matúš Pikuliak: Neural Language Models
- Michal Puškáš: Advanced search and visualization
- Márius Šajgalík: Modeling Text Semantics
- Andrej Švec: Modelling the appropriatness of text posts
- Andrej Vítek: Online support solution for educational exercises
- Filip Vozár: Sentiment analysis from text about given object
User Experience and Implicit Feedback (PeWe.UX)
- Veronika Balážová: Prediction of users’ personality traits during task solving in information system
- Adam Bacho: Usability of information visualizations in the process of knowledge discovery
- Matej Červenka: Analysis of eye movement patterns depending on task in the web environment
- Mária Dragúňová: Identifying User Characteristics by Eye Tracking Analysis
- Peter Dubec: Effective user studies for mobile devices enhanced with eye tracking
- Patrik Hlaváč: Impact of Characteristics of Individuals on Evaluating the Quantitative Studies
- Tomáš Juhaniak: Cognitive Load Evaluation as a Part of User Studies
- Ondrej Kaščák: User Experience and Emotions
- Aleš Mäsiar: Human-based Computation with the Use of Gaze Tracking
- Michal Melúch: Gaze Visualization
- Martin Mokrý: Identification of the user expertise based on patterns in eyetracking data
- Lukáš Rešutík: Identifying cognitive load
- Monika Sanyová: HCI literacy estimation using eye tracking
- Martin Svrček: Revealing information on social adaptive web
- Elena Štefancová: User Experience and Emotions
- Martin Štrbák: Analysis of Reading Difficulty in Web Environment
Doctoral Staff
Mária Bielikováweb personalization, user/user groups and contexts modelling, usability and user experience (and HCI in general)
Michal Barlauser modeling, implicit user feedback, virtual communities, collaborative surfing
Marián Šimkodomain modelling, ontologies, folksonomies, semantic text analysis, Web-based Learning 2.0
Jozef Tvarožekstudent modelling, social intelligent learning, collaborative learning, user experience
Michal Kompansingle user and group recommendation, satisfaction modeling
Jakub Šimkocrowdsourcing, games with a purpose, semantics acquisition, Web-based learning
Eduard Kuricuser experience, web personalization, online/remote usability testing, designing user interfaces
Karol Rástočnýsoftware modeling, unit testing, software metrics, (ontologies and linked data)
Ivan Srbacollective intelligence, technology-enhanced learning, community question answering, recommender systems