11 citations · 15 across the 10 of their papers we have counts for
10 papers
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…
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…
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations
Szymon Bobek, Michał Kuk, Jakub Brzegowski +2
Pattern discovery in multidimensional data sets has been the subject of research for decades. There exists a wide spectrum of clustering algorithms that can be used for this purpos…
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…
Generating Local Search Neighborhood with Synthesized Logic Programs
Mateusz Ślażyński, Salvador Abreu, Grzegorz J. Nalepa
Local Search meta-heuristics have been proven a viable approach to solve difficult optimization problems. Their performance depends strongly on the search space landscape, as defin…
"AIded with emotions" - a new design approach towards affective computer systems
Barbara Giżycka, Grzegorz J. Nalepa, Paweł Jemioło
As technologies become more and more pervasive, there is a need for considering the affective dimension of interaction with computer systems to make them more human-like. Current d…
Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal
Krzysztof Kluza, Grzegorz J. Nalepa, Łukasz Łysik
The paper concerns selected rule modularization techniques. Three visual methods for inference specification for modularized rule- bases are described: Drools Flow, BPMN and XTT2.…