Classification from the imbalanced data is a common yet unresolved problem. Our scientists, Hubert Jegierski and dr. Stanisław Saganowski, introduce an “outside the box” solution to this problem. They suggest enriching the imbalanced data set with observations from other external data sets. They propose three enrichment scenarios: random, greedy, and supervised.
The ENGINE leader, Prof. Przemysław Kazienko gave an invited talk at Emotion AI Conference on “Emotion Recognition Using Wearables: Advances and Challenges” on May 6, 2020. Initially, the conference was scheduled for March 30, 2020 in New York, however, it had to be moved online due to pandemic crisis. The
A new interdisciplinary research team working at ENGINE on emotion recognition (subfield of affective computing) has its first success. Their paper entitled “Emotion Recognition Using Wearables: A Systematic Literature Review – Work-in-progress” ( https://arxiv.org/abs/1912.10528 ) will be presented at Emotion Aware at the prestige conference PerCom – Pervasive Computing 2020
Prof. Przemysław Kazienko, the ENGINE leader, discussed 50 years of the Internet in Polish Radio Wroclaw. Fot. Radio Wrocław
On the 50th anniversary of the Internet, the ENGINE leader – Przemyslaw Kazienko analyzed its impact on the society, online threats, and challenges live on the Polish Radio Wroclaw on November 25, 2019.
Our four master students in data science Mateusz Zimoch, Adam Gurgul, Piotr Zieliński, Piotr Grzybowski won the Polish stage of European BEST Engineering Competition. They were best in case study that consisted of two tasks: (1) analysis of data for the Fortum company in order to predict thermal energy consumption
The ENGINE group member, Radosław Michalski, altogether with Michał Weskida published an article on maximizing the spread of influence in social networks. In this work the authors perform a study on the usability of the evolutionary algorithm in this task. The results indicate that this approach is able to outperform
Researchers from Wroclaw University fo Science of Technology, Poland together with Poznań University of Technology, Poland just published a paper in Scientific Reports on a new generic and comprehensive method to generate complex networks (incl. social networks). The authors claim that networks are commonly created according to the priority attachment
3000 kilometers. 48 hours of intense coding. 20 hours of travel on the train. 4 hours of sleep. The 3 largest cities in Europe: London, Paris & Frankfurt. And all of this over 1 weekend. This is how the last edition of the unusual international “hackathon on the train” called
New WUST publication entitled Entropy Measures of Human Communication Dynamics by Marcin Kulisiewicz, Przemysław Kazienko, Bolesław K. Szymański and Radosław Michalski in Scientific Reports. Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We propose a set of new entropy-based measures for