Data Analysis, Mining and Machine Learning (PeWe.Data)
- Tomáš Bako: User behavior similarity identification for the task of prediction the leaving of the session
- 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: Web Site Users’ Behavioral Trends Analysis
- Juraj Flamík: Recognition of Similarities in User Behavior in Data Stream
- Patrik Gajdošík: Learning Video Representations for Generating Descriptions
- Tomáš Chovaňák: Web User Behavioral Patterns Recognition in Online Time for Personalized Recommendation
- Martin Jakubík: Using Machine Learning for Prediting User Behaviour
- Jakub Janeček: Executable documents on data analysis
- Ondrej Kaššák: User Modelling for Session End Intent Prediction
- Michal Kren: Ensuring Robustness against Changes in Web Sites During Data Extraction
- Lukáš Marták: Modelling Music Structure using Artificial Neural Networks
- Jakub Mrocek: Text reading analysis
- Martin Olejár: Conflict detection and visualization in software models
- Adam Rafajdus: Generative Adversarial Networks
- Martin Černák: Personalized recommendation taking into account visual impacts
- Peter Gašpar: User Modelling Using Visual Stimuli
- Veronika Gondová: Web services consumer behavior analysis for improving recommendation
- Mário Hunka: Scalable personalized recommendation for one-to-one marketing
- Adrián Huňa: Supporting Online Student Communities by Utilization of Questions and Answers Archives
- Jakub Mačina: Recommendation of New Questions in Online Student Communities
- 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: Automatic Context-Based Text Reconstruction for Slovak
- Michal Hucko: Clustering and Classification of Student’s Answers to Questions
- Rastislav Krchňavý: Aspect Based Sentiment Analysis
- Samuel Pecár: Automatic Taxonomy Extraction
- Branislav Pecher, Michal Kováčik, Jozef Mláka, Pavol Ondrejka: Development of Inovative Application in International Competition
- Matúš Pikuliak: Transfer Learning between Languages for Sentiment Analysis
- Andrej Vítek: Online support solution for educational exercises
User Experience and Implicit Feedback (PeWe.UX)
- Adam Bacho: Usability of Information Visualizations
- Veronika Balážová: Prediction of users’ personality traits based on task solving on the Web
- Michal Baňas: Multiplayer game based on eye tracking
- 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: Towards Quantitative Eye-Tracking User Studies of Mobile Applications
- Patrik Hlaváč: Automatic Web Literacy Detection
- Tomáš Juhaniak: Cognitive Load Methods Based on Pupillary Response
- Ondrej Kaščák: User Experience and Emotions
- Ondrej Kipila: Detection of user features based on eye-tracking method
- Sandra Kostova: User modeling using eye-tracking and size of the pupil
- Lenka Kutlíková: Automatic evaluating usability of applications with eye-tracking technique
- Aleš Mäsiar: Predicting Correctness in Human Computation Tasks with the Use of Eye Tracking
- Michal Melúch: Gaze Visualization
- Lukáš Meňhert: Visualization of user activity in an interactive application
- Martin Mokrý: Identification of the User Expertise Based on Patterns in Eyetracking Data
- Róbert Móro: Inferring User Characteristics from Sensor Data
- Dániel Papp: Automated evaluation results of user studies
- Martina Redajová: Automatic recognition of users’ characteristics based on Eye-tracking data
- Lukáš Rešutík: Identifying cognitive load
- Monika Sanyová: HCI Literacy Estimation Using Eye Tracking
- Martin Svrček: Automatic Detection of Usability Smells Using Eye-Tracking
- 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 Tvarožeksocial intelligent learning, collaborative learning, semantic text analysis, natural language processing
Michal Kompansingle user and group recommendation, satisfaction modeling
Tomáš Kramáruser modelling, personalized web search
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
Jakub Ševcechvarious topics related to data analysis and data science, incremental analysis of big corpuses, time series data analysis, representation and feature extraction from time series data for various tasks of data analysis such as classification, anomaly detection or forecasting