Category Archives: English

New publication – How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

Piotr Szymański, Tomasz Kajdanowicz and Kristian Kersting published an article entitled “How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?”.  Abstract: We propose using five data-driven community detection approaches from social networks to partition the label space in the task of multi-label classification as

Visits in the USA and Slovenia

Owing to our H2020 RENOIR project (http://www.renoirproject.eu), six ENGINE staff members (Przemysław Kazienko, Piotr Bródka, Radosław Michalski, Marcin Kulisiewicz, Roman Bartusiak and Rajmund Klemiński) have been visiting and carrying out research for 1-3 months at Rensselaer Polytechnic Institute, Troy, NY. Simultaneously, two other members (Piotr Szymański and Łukasz Augustyniak) went

Presentations in Israel at NetSciX

Four ENGINE staff members: Przemysław Kazienko, Tomasz Kajdanowicz, Radosław Michalski and Piotr Bródka presented results of their research during The International School and Conference on Network Science (NetSciX 2017) in Tel Aviv, Israel, January 15-18, 2017 (http://www.netscix2017.com/). It is worth to mention that the previous edition of this conference was

Experts in the ENGINE Centre

Three experts appointed by the European Commission visited the ENGINE Centre at the beginning of November 2016: 1. Prof. Bogdan Gabrys, Chair of Computational Intelligence, Faculty of Science and Technology, Bournemouth University, UK 2. Prof. Natasa Milic-Frayling, Chair of Data Science, School of Data Science, University of Nottingham, UK 3.

Analysis of public transport in Wrocław

A researcher from the ENGINE Center – Piotr Szymanski is working – together with a team of students (Mateusz Dryzek, Radek Czemerys, Michał Żonieruk and Piotr Oleszczyk) – on the analysis of public transport in Wroclaw. Starting at the beginning of this year the team collected data from the position monitoring system

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