courses:wshop:topics:tematy2025zima

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courses:wshop:topics:tematy2025zima [2025/10/10 07:02] – [[KKT] Incunabula catalogue in RDF (cont.)] kktcourses:wshop:topics:tematy2025zima [2025/10/20 12:47] (current) – [[KKT] Polyvocal knowledge graphs] kkt
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 ==== [MZK] Affective games ==== ==== [MZK] Affective games ====
  
-  * **Student:** +  * **Student:** Bartłomiej Błoniarz, Michał Gniadek, Inka Sokołowska
   * **Namespace in the wiki:** [[..:projects:2026:FIXME:]]   * **Namespace in the wiki:** [[..:projects:2026:FIXME:]]
   * **The goal of the project:** Analysis of player behavior based on affective events in the game.   * **The goal of the project:** Analysis of player behavior based on affective events in the game.
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 ==== [LVM] Automatic label generation with LLM + CIDOC-CRM ====   ==== [LVM] Automatic label generation with LLM + CIDOC-CRM ====  
  
-  * **Student:**  {{:courses:wshop:topics:chexrish.png?60|}}  +  * **Student:** Mateusz Dyszewski {{:courses:wshop:topics:chexrish.png?60|}}  
   * **Namespace in the wiki:**    * **Namespace in the wiki:** 
   * **The goal of the project:** Implementing automatic label generation with LLM + CIDOC-CRM     * **The goal of the project:** Implementing automatic label generation with LLM + CIDOC-CRM  
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 ==== [EAS] Visual analysis of digital poster collections with contextual description generation ====   ==== [EAS] Visual analysis of digital poster collections with contextual description generation ====  
  
-  * **Student:** Wojciech Pałka, Bartosz Mierzwa {{:courses:wshop:topics:chexrish.png?60|}}+  * **Student:** Wojciech Pałka, Viktoryia Sialila{{:courses:wshop:topics:chexrish.png?60|}}
   * **Namespace in the wiki:** [[..:projects:2026:posters-visual-contextual-analysis:]]     * **Namespace in the wiki:** [[..:projects:2026:posters-visual-contextual-analysis:]]  
   * **The goal of the project:** Implementing automatic visual feature extraction and contextual description generation for posters from digital collections (JBC, FBC)     * **The goal of the project:** Implementing automatic visual feature extraction and contextual description generation for posters from digital collections (JBC, FBC)  
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 ==== [EAS] Interactive storytelling with selected JBC collections (Documents of Social Life) ====   ==== [EAS] Interactive storytelling with selected JBC collections (Documents of Social Life) ====  
  
-  * **Student:**  {{:courses:wshop:topics:chexrish.png?60|}}+  * **Student:**Justyna Gargula 
 +  {{:courses:wshop:topics:chexrish.png?60|}}
   * **Namespace in the wiki:** [[..:projects:2026:interactive-storytelling-jbc-dsl:]]     * **Namespace in the wiki:** [[..:projects:2026:interactive-storytelling-jbc-dsl:]]  
   * **The goal of the project:** Creating a tool that generates thematic narratives based on JBC objects (Documents of Social Life)     * **The goal of the project:** Creating a tool that generates thematic narratives based on JBC objects (Documents of Social Life)  
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 ==== [KKT] Polyvocal knowledge graphs ==== ==== [KKT] Polyvocal knowledge graphs ====
  
-  * **Student:** FIXME {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}} +  * **Student:** Bartosz Mierzwa, Piotr Wójtowicz {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}} 
-  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2025:polyvocal:]]
   * **The goal of the project:** How to model and process various (sometimes even contradictory) opinions on the same topic in knowledge graphs   * **The goal of the project:** How to model and process various (sometimes even contradictory) opinions on the same topic in knowledge graphs
   * **Technology:** literature studies, prototypes evaluation, RDF/Semantic Web   * **Technology:** literature studies, prototypes evaluation, RDF/Semantic Web
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 ==== [KKT] Metadata enrichment methods for cultural heritage ==== ==== [KKT] Metadata enrichment methods for cultural heritage ====
  
-  * **Student:** FIXME {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}} +  * **Student:** Tomasz Pakuła, Szymon Pietrzak {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}} 
-  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2025:enrichment:]]
   * **The goal of the project:** Determine ways to automatically enrich metadata in the field of cultural heritage and which of these methods actually work   * **The goal of the project:** Determine ways to automatically enrich metadata in the field of cultural heritage and which of these methods actually work
   * **Technology:** literature studies, prototypes evaluation, RDF/Semantic Web   * **Technology:** literature studies, prototypes evaluation, RDF/Semantic Web
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   * **Student:** Paweł Jasiński {{:courses:wshop:topics:chexrish.png?60|}} {{:courses:wshop:topics:fast.png?30|}}   * **Student:** Paweł Jasiński {{:courses:wshop:topics:chexrish.png?60|}} {{:courses:wshop:topics:fast.png?30|}}
-  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2025:incunabula:]]
   * **The goal of the project:** Create an incunabula owners catalogue and integrate it with CHExRISH ontology   * **The goal of the project:** Create an incunabula owners catalogue and integrate it with CHExRISH ontology
   * **Technology:** Python, RDF/Semantic Web   * **Technology:** Python, RDF/Semantic Web
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   * **Student:** Hubert Musiał, Jakub Bednarz {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}}   * **Student:** Hubert Musiał, Jakub Bednarz {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:chexrish.png?60|}}
-  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2025:chcloud:]]
   * **The goal of the project:** Validate the usability of Wikidata as a central point of cultural heritage data cloud   * **The goal of the project:** Validate the usability of Wikidata as a central point of cultural heritage data cloud
   * **Technology:** RDF/Semantic Web, some programming (Python preferred)   * **Technology:** RDF/Semantic Web, some programming (Python preferred)
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   * **Description:** The work will be based on the MsC of [[https://wiki.iis.uj.edu.pl/mgr:mgr2025:cfgenimg|Jakub Siwy]], who tested various inpaiting methods for genreation of valid normal samples in anomaly-detection task. In this project, the goal is to extend the Future works by performing more experiments on all sampels from the provided datasets and to focus mainly on how newly generated samples can improve anomaly detection process. I.e. implement Counterfactual-based augmentation of dataset for more reliable anomaly detection.   * **Description:** The work will be based on the MsC of [[https://wiki.iis.uj.edu.pl/mgr:mgr2025:cfgenimg|Jakub Siwy]], who tested various inpaiting methods for genreation of valid normal samples in anomaly-detection task. In this project, the goal is to extend the Future works by performing more experiments on all sampels from the provided datasets and to focus mainly on how newly generated samples can improve anomaly detection process. I.e. implement Counterfactual-based augmentation of dataset for more reliable anomaly detection.
   * **Links:**   * **Links:**
-    * [[https://wiki.iis.uj.edu.pl/mgr:mgr2025:cfgenimg | Master thesis]]+    * [[https://wiki.iis.uj.edu.pl/_media/mgr:mgr2025:cfgenimg:mgrjsiwy.pdf | Master thesis]]
  
 ==== [SBK] RAG-based conversational agent for OpenML pipelines ==== ==== [SBK] RAG-based conversational agent for OpenML pipelines ====
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     * Benchmark Notebook to extend: https://github.com/sbobek/lux/tree/lux-benchmark     * Benchmark Notebook to extend: https://github.com/sbobek/lux/tree/lux-benchmark
  
 +
 +==== [JKO] Emergence of environment-based communication between multiple reinforcement-learned agents ====
 +
 +  * **Student:**  {{:courses:xai:winner.png?30|}}
 +  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]
 +  * **The goal of the project:** Can multiple reinforcement-learned (RL) agents spontaneously invent a language?
 +  * **Technology:** Python
 +  * **Description:** This project continues the MSc. thesis by Łukasz Dobrzycki (code available). A simple, cooperative game with imperfect information has been designed for two agents. The game is designed in such a way that the goal can be quickly achieved by one of the agents communicating solutions to the other agent. The communication scheme, however, is something that the agents have to invent themselves by means of deep RL.
 +  * **Links:**
 +    * [[https://doi.org/10.48550/arXiv.2306.11336|Abdelaziz, M.K., Elbamby, M.S., Samarakoon, S., Bennis, M., 2024. Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction.]]
 +    * [[https://www.marl-book.com/download/marl-book.pdf|Multi-Agent Reinforcement Learning: Foundations and Modern Approaches]]
 +
 +==== [JKO] Comparison of explainability tools for NLP ====
 +
 +  * **Student:** Julia Zezula {{:courses:xai:winner.png?30|}}
 +  * **Namespace in the wiki:** [[..:projects:2025:expnlp:]]
 +  * **The goal of the project:** Which explanations work best for text classification?
 +  * **Technology:** Python, spaCy, SHAP etc.
 +  * **Description:** Exploration of the available explainability methods, designing tests and assessing their reliability. [[..:projects:2025:FIXME:]]
 +  * **Links:**
 +    * [[https://doi.org/10.2200/S01118ED1V01Y202107HLT051|Søgaard, A., 2021. Explainable natural language processing, Synthesis lectures on human language technologies. Morgan & Claypool Publishers, San Rafael.]]
  
  
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