no code implementations • EAMT 2022 • Anabela Barreiro, José GC de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fabio Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani
This paper presents the Multitask, Multilingual, Multimodal Language Generation COST Action – Multi3Generation (CA18231), an interdisciplinary network of research groups working on different aspects of language generation.
1 code implementation • 24 Nov 2023 • Piotr Sowinski, Pawel Szmeja, Maria Ganzha, Marcin Paprzycki
Over the years, RDF streaming was explored in research and practice from many angles, resulting in a wide range of RDF stream definitions.
no code implementations • 4 Jan 2023 • Jaroslaw Legierski, Kajetan Rachwal, Piotr Sowinski, Wojciech Niewolski, Przemyslaw Ratuszek, Zbigniew Kopertowski, Marcin Paprzycki, Maria Ganzha
Detecting Personal Protective Equipment in images and video streams is a relevant problem in ensuring the safety of construction workers.
no code implementations • 15 Jul 2022 • Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki, Maria Ganzha, Anastasiya Danilenka, Lambis Tassakos, Eduardo Garro
Federated learning (FL) was proposed to facilitate the training of models in a distributed environment.
no code implementations • 8 Jul 2022 • Dominik Lewy, Jacek Mańdziuk, Maria Ganzha, Marcin Paprzycki
Availability of large amount of annotated data is one of the pillars of deep learning success.
no code implementations • 16 Jun 2022 • Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki, Jacek Mańdziuk
One of the important problems in federated learning is how to deal with unbalanced data.
1 code implementation • 5 May 2022 • Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha, Marcin Paprzycki, Costin Badica
Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem.
no code implementations • 9 Apr 2022 • Łukasz Pałys, Maria Ganzha, Marcin Paprzycki
Nowadays, it is possible to collect precise data describing movements of public transport.
no code implementations • 29 Mar 2022 • Elie Saad, Marcin Paprzycki, Maria Ganzha
In situations like this, it may be possible to develop a meta-classifier that would combine "best aspects" of individual classifiers and outperform all of them.
1 code implementation • 2 Jan 2022 • Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha, Marcin Paprzycki
The vast body of scientific publications presents an increasing challenge of finding those that are relevant to a given research question, and making informed decisions on their basis.
no code implementations • 5 Oct 2021 • Jan Sawicki, Maria Ganzha, Marcin Paprzycki, Amelia Bădică
These functions can be used as a prelude analysis to a broader exploration of Reddit's applicability.