courses:wshop:topics:tematy2024zima

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision		 Previous revision
courses:wshop:topics:tematy2024zima [2024/10/11 17:45] – [[KKT] Semantic Search 101] kktcourses:wshop:topics:tematy2024zima [2025/02/18 11:48] (current) – [[KKT] Semantic Search 101] kkt
Line 17: Line 17:
 ==== [SBK] Counterfactual evaluation framework [other team: factual] ====  ==== [SBK] Counterfactual evaluation framework [other team: factual] ==== 
  
-  * **Student:** FIXME  {{:courses:xai:winner.png?30|}}+  * **Student:** Paulina Wojnarska  {{:courses:xai:winner.png?30|}}
   * **Namespace in the wiki:** [[..:projects:2024:cfeval:]]    * **Namespace in the wiki:** [[..:projects:2024:cfeval:]] 
   * **The goal of the project:** The goal of this project is to implement a Python module that will cover all of the evalaution metrics from: [[https://link.springer.com/article/10.1007/s10618-022-00831-6|Counterfactual explanations and how to find them: literature review and benchmarking]]. One of the most important aspect of the framework should be easy way to add your own method a server script making it possible to run evaluations and publish the results online automatically.   * **The goal of the project:** The goal of this project is to implement a Python module that will cover all of the evalaution metrics from: [[https://link.springer.com/article/10.1007/s10618-022-00831-6|Counterfactual explanations and how to find them: literature review and benchmarking]]. One of the most important aspect of the framework should be easy way to add your own method a server script making it possible to run evaluations and publish the results online automatically.
Line 25: Line 25:
   * **Links:**    * **Links:** 
     * [[https://link.springer.com/article/10.1007/s10618-022-00831-6|Counterfactual explanations and how to find them: literature review and benchmarking]]      * [[https://link.springer.com/article/10.1007/s10618-022-00831-6|Counterfactual explanations and how to find them: literature review and benchmarking]] 
-    * +    * https://christophm.github.io/interpretable-ml-book/
  
  ==== [SBK] Eyetracking for (Explainable) AI ====  ==== [SBK] Eyetracking for (Explainable) AI ====
  
   * **Student:** Sebastian Sęczyk,Jakub Pleśniak  {{:courses:xai:winner.png?30|}}   * **Student:** Sebastian Sęczyk,Jakub Pleśniak  {{:courses:xai:winner.png?30|}}
-  * **Namespace in the wiki:** [[..:projects:2024:tobiixai:start|Sebastian Sęczyk]], [[..:projects:2024:tobiixai2:start|Jakub Pleśniak]]+  * **Namespace in the wiki:** [[..:projects:2024:tobiixai:start|Sebastian Sęczyk]], [[..:projects:2024:tobiixai:start|Jakub Pleśniak]]
   * **The goal of the project:** Tool for data labeling supported with eyetracking   * **The goal of the project:** Tool for data labeling supported with eyetracking
   * **Technology:** python,tobii   * **Technology:** python,tobii
Line 79: Line 79:
  
 ==== [SBK] Neurosymbolic Neural Networks==== ==== [SBK] Neurosymbolic Neural Networks====
-  * **Student:** FIXME  {{:courses:xai:winner.png?30|}} +  * **Student:** Jakub Samel, Aliaxandr Zybaila  {{:courses:xai:winner.png?30|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:nsnn:start|Jakub Samel]], [[..:projects:2024:nsnn2:start|Aliaxandr Zybaila]]
   * **The goal of the project:** MVP is to implement the same exmaple (e.g. Sudoku Solver) in all of the linked methods.   * **The goal of the project:** MVP is to implement the same exmaple (e.g. Sudoku Solver) in all of the linked methods.
   * **Technology:** Python, Keras/PyTorch   * **Technology:** Python, Keras/PyTorch
Line 123: Line 123:
 ==== [KKT] JU cultural heritage in Linked Open Data ==== ==== [KKT] JU cultural heritage in Linked Open Data ====
  
-  * **Student:** FIXME {{:courses:xai:winner.png?30|}}+  * **Student:** Lena Kaczanowska {{:courses:xai:winner.png?30|}}
   * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]   * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]
   * **The goal of the project:** Preparation of a knowledge graph that is a subset of the Linked Open Data cloud describing the cultural heritage of our university   * **The goal of the project:** Preparation of a knowledge graph that is a subset of the Linked Open Data cloud describing the cultural heritage of our university
Line 134: Line 134:
  
   * **Student:** Aleksandra Jaroszek, Maciej Struski {{:courses:xai:winner.png?30|}}   * **Student:** Aleksandra Jaroszek, Maciej Struski {{:courses:xai:winner.png?30|}}
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:sociallife:]]
   * **The goal of the project:** Preparation of workflow for automatic social life documents summarization (in form of tags and titles)   * **The goal of the project:** Preparation of workflow for automatic social life documents summarization (in form of tags and titles)
   * **Technology:** Python, machine learning, data analysis, LLM   * **Technology:** Python, machine learning, data analysis, LLM
Line 147: Line 147:
 ==== [KKT] Semantic Search 101 ==== ==== [KKT] Semantic Search 101 ====
  
-  * **Student:** Dominika Głowacka, Maciej Szymański {{:courses:wshop:topics:fast.png?30|}} +  * **Student:** Dominika Głowacka, Mikołaj Szymański {{:courses:wshop:topics:fast.png?30|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:semsearch:]]
   * **The goal of the project:** Preparation of a working semantic search demo for cultural heritage knowledge   * **The goal of the project:** Preparation of a working semantic search demo for cultural heritage knowledge
   * **Technology:** Python, Semantic Web, natural language processing   * **Technology:** Python, Semantic Web, natural language processing
Line 167: Line 167:
 ==== [KKT] GraphRAG 101 ==== ==== [KKT] GraphRAG 101 ====
  
-  * **Student:** FIXME {{:courses:wshop:topics:fast.png?30|}} +  * **Student:** Ewa Kobrzyńska, Emilia Górnisiewicz {{:courses:wshop:topics:fast.png?30|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:graphrag1:|Ewa Kobrzyńska]], [[..:projects:2024:graphrag2:|Emilia Górnisiewicz]]
   * **The goal of the project:** Preparation of a working GraphRAG demo for cultural heritage domain   * **The goal of the project:** Preparation of a working GraphRAG demo for cultural heritage domain
   * **Technology:** Python/Java, Semantic Web, LLM   * **Technology:** Python/Java, Semantic Web, LLM
Line 180: Line 180:
  
   * **Student:** Magdalena Gancarek, Klaudia Korczak {{:courses:xai:winner.png?30|}}   * **Student:** Magdalena Gancarek, Klaudia Korczak {{:courses:xai:winner.png?30|}}
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:faceapis:]]
   * **The goal of the project:** Comparison of the effectiveness of off-the-shelf APIs and pre-trained models for emotion recognition in non-trivial images   * **The goal of the project:** Comparison of the effectiveness of off-the-shelf APIs and pre-trained models for emotion recognition in non-trivial images
   * **Technology:** Python, data analysis   * **Technology:** Python, data analysis
  • courses/wshop/topics/tematy2024zima.1728668753.txt.gz
  • Last modified: 6 months ago
  • by kkt