courses:wshop:topics:tematy2024zima

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courses:wshop:topics:tematy2024zima [2024/10/11 06:33] – [[KKT] Semantic Search 101] kktcourses:wshop:topics:tematy2024zima [2025/02/18 11:48] (current) – [[KKT] Semantic Search 101] kkt
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 ==== [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.
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   * **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
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 ==== [SBK] Explainable Hyperparameter optimization ==== ==== [SBK] Explainable Hyperparameter optimization ====
-  * **Student:** FIXME {{:courses:wshop:topics:peer.png?40|}} {{:courses:wshop:topics:fast.png?30|}} +  * **Student:** Agnieszka Felis, Mikołaj Golowski {{:courses:wshop:topics:peer.png?40|}} {{:courses:wshop:topics:fast.png?30|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:ixautoml:start]]
   * **The goal of the project:** Evaluation of several selected methods for explaianbel hyperparameter optimization   * **The goal of the project:** Evaluation of several selected methods for explaianbel hyperparameter optimization
   * **Technology:** Python, Keras/PyTorch, SHAP   * **Technology:** Python, Keras/PyTorch, SHAP
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 ==== [SBK] Dimensionality reduciton to speedup LUX ==== ==== [SBK] Dimensionality reduciton to speedup LUX ====
-  * **Student:** FIXME {{:courses:wshop:topics:fast.png?30|}} +  * **Student:** Jan Zoń {{:courses:wshop:topics:fast.png?30|}} 
-  * **Namespace in the wiki:** [[..:projects:2043:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2043:luxspeedup:start]]
   * **The goal of the project:** The goal is to improve LUX software to perform calculation in reduced dimensionality space   * **The goal of the project:** The goal is to improve LUX software to perform calculation in reduced dimensionality space
   * **Technology:** Python, Keras/PyTorch   * **Technology:** Python, Keras/PyTorch
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 ==== [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
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 ==== [SBK] Explainable AI for images==== ==== [SBK] Explainable AI for images====
-  * **Student:** FIXME  {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:peer.png?40|}} +  * **Student:** Jakub Siwy,  Jarek Such {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:peer.png?40|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:imgxai:start]]
   * **The goal of the project:** Implement and compare selected approaches for concept-based explanation of image classifiers   * **The goal of the project:** Implement and compare selected approaches for concept-based explanation of image classifiers
   * **Technology:** Python, Keras/PyTorch   * **Technology:** Python, Keras/PyTorch
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 ==== [SBK] Causal Autoencoder for anomaly detection==== ==== [SBK] Causal Autoencoder for anomaly detection====
-  * **Student:** FIXME  {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:peer.png?40|}} +  * **Student:** Natalia Kramarz  {{:courses:xai:winner.png?30|}} {{:courses:wshop:topics:peer.png?40|}} 
-  * **Namespace in the wiki:** [[..:projects:2024:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2024:causalae:start]]
   * **The goal of the project:** Implement and compare anomaly detection algorithm with/without causality component   * **The goal of the project:** Implement and compare anomaly detection algorithm with/without causality component
   * **Technology:** Python, Keras/PyTorch   * **Technology:** Python, Keras/PyTorch
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 ==== [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
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   * **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
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 ==== [KKT] Semantic Search 101 ==== ==== [KKT] Semantic Search 101 ====
  
-  * **Student:** Dominika Głowacka {{: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
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 ==== [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
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 ==== [KKT] FACE APIs comparison (cont.) ==== ==== [KKT] FACE APIs comparison (cont.) ====
  
-  * **Student:** FIXME {{: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
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