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courses:wshop:topics:tematy2025wiosna [2025/03/14 07:55] – [[SBK] Semi-supervised anomaly detection evaluation] admincourses:wshop:topics:tematy2025wiosna [2025/03/27 11:40] (current) – [[JKO] Challenge submission: AI-generated text detection] jeremi
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 ==== [KKT] Measure of name resemblance between languages ==== ==== [KKT] Measure of name resemblance between languages ====
  
-  * **Student:** FIXME {{:courses:wshop:topics:chexrish.png?60|}}+  * **Student:** Jan Zoń, FIXME {{:courses:wshop:topics:chexrish.png?60|}}
   * **Namespace in the wiki:** [[..:projects:2025:chenames:]]   * **Namespace in the wiki:** [[..:projects:2025:chenames:]]
   * **The goal of the project:** Create an algorithm that for a given string – a name of a person – and a given collection of strings – names of persons – finds a given number of members of the latter that exhibit the greatest resemblance to the former   * **The goal of the project:** Create an algorithm that for a given string – a name of a person – and a given collection of strings – names of persons – finds a given number of members of the latter that exhibit the greatest resemblance to the former
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 ==== [KKT] "My ladies, do you really need it? Women of the Jagiellonian University" ==== ==== [KKT] "My ladies, do you really need it? Women of the Jagiellonian University" ====
  
-  * **Student:** Hubert Musiał, FIXME {{:courses:wshop:topics:chexrish.png?60|}} +  * **Student:** Hubert Musiał, Przemysław Zagraniczny {{:courses:wshop:topics:chexrish.png?60|}} 
-  * **Namespace in the wiki:** [[..:projects:2025:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2025:ladies:]]
   * **The goal of the project:** Create the knowledge base for the exhibition from JU Museum   * **The goal of the project:** Create the knowledge base for the exhibition from JU Museum
   * **Technology:** RDF/Semantic Web   * **Technology:** RDF/Semantic Web
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 ==== [JKO] Challenge submission: AI-generated text detection  ==== ==== [JKO] Challenge submission: AI-generated text detection  ====
  
-  * **Student:** Mateusz Matias, FIXME {{:courses:wshop:topics:fast.png?30|}}+  * **Student:** Mateusz Matias, Tymoteusz Boba {{:courses:wshop:topics:fast.png?30|}}
   * **Namespace in the wiki:** [[..:projects:2025:VKchallenge:]]   * **Namespace in the wiki:** [[..:projects:2025:VKchallenge:]]
   * **The goal of the project:** Tune and prepare existing code for submission in an open challenge   * **The goal of the project:** Tune and prepare existing code for submission in an open challenge
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 ==== [SBK] Semi-supervised anomaly detection evaluation==== ==== [SBK] Semi-supervised anomaly detection evaluation====
   * **Student:**    {{:courses:wshop:topics:peer.png?40|}}   * **Student:**    {{:courses:wshop:topics:peer.png?40|}}
-  * **Namespace in the wiki:** [[:courses:wshop:projects:2025:semiad1:start|Chmura Jakub]], [[:courses:wshop:projects:2025:semiad2:start|Kachnic Bartłomiej]],[[:courses:wshop:projects:2025:semiad3:start|Wójcik Maciej]]+  * **Namespace in the wiki:** [[:courses:wshop:projects:2025:semiad2:start|Kachnic Bartłomiej]],[[:courses:wshop:projects:2025:semiad3:start|Wójcik Maciej]]
   * **The goal of the project:** Prepare a Notebook that will test semi-supervised anomaly detection method on MVTec dataset   * **The goal of the project:** Prepare a Notebook that will test semi-supervised anomaly detection method on MVTec dataset
   * **Technology:** Python, Keras/PyTorch, SHAP   * **Technology:** Python, Keras/PyTorch, SHAP
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 ==== [SBK] Survey in the area of multimodal explanations for time-seris==== ==== [SBK] Survey in the area of multimodal explanations for time-seris====
   * **Student:** {{:courses:xai:winner.png?30|}}    * **Student:** {{:courses:xai:winner.png?30|}} 
-  * **Namespace in the wiki:** +  * **Namespace in the wiki:**  [[:courses:wshop:projects:2025:tsmultimodal:start|Chmura Jakub i Aleksandra Stępień]], 
   * **The goal of the project:** Prepare a Notebook that will demonstrate usage of a selected multimodal models for time-series classification or regression.   * **The goal of the project:** Prepare a Notebook that will demonstrate usage of a selected multimodal models for time-series classification or regression.
   * **Technology:** Python, Keras/PyTorch, SHAP   * **Technology:** Python, Keras/PyTorch, SHAP
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