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pro vyhledávání: '"Gorecki, Tomasz"'
Classifieds provide many challenges for recommendation methods, due to the limited information regarding users and items. In this paper, we explore recommendation methods for classifieds using the example of OLX Jobs. The goal of the paper is to benc
Externí odkaz:
http://arxiv.org/abs/2301.07946
Publikováno v:
In Journal of Computational Science March 2024 76
The paper presents a novel method of finding a fragment in a long temporal sequence similar to the set of shorter sequences. We are the first to propose an algorithm for such a search that does not rely on computing the average sequence from query ex
Externí odkaz:
http://arxiv.org/abs/2010.14464
Autor:
Gorecki, Tomasz T., Martin, William
This paper introduces the Maestro library. This library for Python focuses on the design of predictive controllers for small to medium-scale energy networks. It allows non-expert users to describe multi-carrier (electricity, heat, gas) energy network
Externí odkaz:
http://arxiv.org/abs/1911.12661
Akademický článek
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Publikováno v:
In Speech Communication April 2022 139:35-44
Many time series exhibit changes both in level and in variability. Generally, it is more important to detect a change in the level, and changing or smoothly evolving variability can confound existing tests. This paper develops a framework for testing
Externí odkaz:
http://arxiv.org/abs/1612.02794
Publikováno v:
In Expert Systems With Applications 1 May 2021 169
Autor:
Włodarska, Katarzyna, Piasecki, Paweł, Lobo-Prieto, Ana, Pawlak-Lemańska, Katarzyna, Górecki, Tomasz, Sikorska, Ewa
Publikováno v:
In Microchemical Journal May 2021 164
Autor:
Gorecki, Tomasz T., Martin, William
Publikováno v:
In IFAC PapersOnLine 2020 53(2):13293-13298