activity
20202026
most citedA Review of Platforms for the Development of Agent Systems

32 citations · 115 across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

10 papers · 1 filter

cs.PF2022★ 19 cited

Eficiency of REST and gRPC realizing communication tasks in microservice-based ecosystems

Marek Bolanowski, Kamil Żak, Andrzej Paszkiewicz +5

The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On th…

cs.LG2022★ 3 cited

Introducing Federated Learning into Internet of Things ecosystems -- preliminary considerations

Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki +4

Federated learning (FL) was proposed to facilitate the training of models in a distributed environment. It supports the protection of (local) data privacy and uses local resources…

cs.DB2022★ 5 cited

Efficient RDF Streaming for the Edge-Cloud Continuum

Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha +3

With the ongoing, gradual shift of large-scale distributed systems towards the edge-cloud continuum, the need arises for software solutions that are universal, scalable, practical,…

cs.LG2022

StatMix: Data augmentation method that relies on image statistics in federated learning

Dominik Lewy, Jacek Mańdziuk, Maria Ganzha +1

Availability of large amount of annotated data is one of the pillars of deep learning success. Although numerous big datasets have been made available for research, this is often n…

cs.LG2022★ 2 cited

Using adversarial images to improve outcomes of federated learning for non-IID data

Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki +1

One of the important problems in federated learning is how to deal with unbalanced data. This contribution introduces a novel technique designed to deal with label skewed non-IID d…

cs.SE2022★ 7 cited

Ontology Reuse: the Real Test of Ontological Design

Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha +2

Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systemat…

cs.NI2022★ 6 cited

An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework

Jitendra Kumar Samriya, Mohit Kumar, Maria Ganzha +3

In recent years, 5G network systems start to offer communication infrastructure for Internet of Things (IoT) applications, especially for health care service pro-viders. In smart h…

cs.LG2022★ 1 cited

Applying machine learning to predict behavior of bus transport in Warsaw, Poland

Łukasz Pałys, Maria Ganzha, Marcin Paprzycki

Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This in…

cs.LG2022

Practical Aspects of Zero-Shot Learning

Elie Saad, Marcin Paprzycki, Maria Ganzha

One of important areas of machine learning research is zero-shot learning. It is applied when properly labeled training data set is not available. A number of zero-shot algorithms…

cs.CL2022

Topical Classification of Food Safety Publications with a Knowledge Base

Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha +1

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 ba…