2 citations · 3 across the 9 of their papers we have counts for
9 papers
A Three-stage Neuro-symbolic Recommendation Pipeline for Cultural Heritage Knowledge Graphs
Krzysztof Kutt, Elżbieta Sroka, Oleksandra Ishchuk +1
The growing volume of digital cultural heritage resources highlights the need for advanced recommendation methods capable of interpreting semantic relationships between heterogeneo…
Iconographic Classification and Content-Based Recommendation for Digitized Artworks
Krzysztof Kutt, Maciej Baczyński
We present a proof-of-concept system that automates iconographic classification and content-based recommendation of digitized artworks using the Iconclass vocabulary and selected a…
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
Klaudia Ropel, Krzysztof Kutt, Luiz do Valle Miranda +1
We developed a proof-of-concept method for the automatic analysis of the structure and content of incunabula pages. A custom dataset comprising 500 annotated pages from five differ…
Knowledge Graphs for Digitized Manuscripts in Jagiellonian Digital Library Application
Jan Ignatowicz, Krzysztof Kutt, Grzegorz J. Nalepa
Digitizing cultural heritage collections has become crucial for preservation of historical artifacts and enhancing their availability to the wider public. Galleries, libraries, arc…
Rich Interoperable Metadata for Cultural Heritage Projects at Jagiellonian University
Luiz do Valle Miranda, Krzysztof Kutt, Elżbieta Sroka +1
The rich metadata created nowadays for objects stored in libraries has nowhere to be stored, because core standards, namely MARC 21 and Dublin Core, are not flexible enough. The ai…
Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
Krzysztof Kutt, Luiz do Valle Miranda, Jakub Gomułka +1
In response to several cultural heritage initiatives at the Jagiellonian University, we developed a new digitization workflow in collaboration with the Jagiellonian Library (JL). T…
Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods
Jan Ignatowicz, Krzysztof Kutt, Grzegorz J. Nalepa
Experiments in affective computing are based on stimulus datasets that, in the process of standardization, receive metadata describing which emotions each stimulus evokes. In this…
Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases
Sławomir Konrad Tadeja, Krzysztof Kutt, Yupu Lu +3
In this paper, we present a Virtual Reality (VR) based environment where the engineer interacts with incoming data from a fleet of aeroengines. This data takes the form of 3D compu…
The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems
Krzysztof Kutt, Dominika Drążyk, Maciej Szelążek +2
The paper describes BIRAFFE2 data set, which is a result of an affective computing experiment conducted between 2019 and 2020, that aimed to develop computer models for classificat…