courses:wshop:topics:tematy2023wiosna

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courses:wshop:topics:tematy2023wiosna [2023/03/14 11:25] – [[SBK] Wizualizacja (interaktywna) drzew decyzyjnych] admincourses:wshop:topics:tematy2023wiosna [2023/04/24 09:00] (current) – [[SBK] InXAI for images] admin
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 ==== [KKT] How do semantic catalogues of manuscript collections work? ==== ==== [KKT] How do semantic catalogues of manuscript collections work? ====
  
-  * **Student:** FIXME +  * **Student:** Mateusz Cholewa 
-  * **Namespace in the wiki:** [[..:projects:2023:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2023:semcatalog:]]
   * **The goal of the project:** Exploration of existing semantic catalogues for the manuscript collections   * **The goal of the project:** Exploration of existing semantic catalogues for the manuscript collections
   * **Technology:** Semantic Web (RDF, SPARQL, ontologies), scientific papers reading/mail writing   * **Technology:** Semantic Web (RDF, SPARQL, ontologies), scientific papers reading/mail writing
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 ==== [KKT] FACE APIs comparison ==== ==== [KKT] FACE APIs comparison ====
  
-  * **Student:** FIXME +  * **Group 1:** [[..:projects:2023:faceapis1:|Drużdżel, Kamiński, Kozdęba]] 
-  * **Namespace in the wiki:** [[..:projects:2023:FIXME:]]+  * **Group 2:** [[..:projects:2023:faceapis2:|Przysucha]] 
 +  * **Group 3:** [[mgr:mgr2023:emoapis:start|Panczykowski]]
   * **The goal of the project:** Comparison of the effectiveness of off-the-shelf APIs for emotion recognition in non-trivial images   * **The goal of the project:** Comparison of the effectiveness of off-the-shelf APIs for emotion recognition in non-trivial images
   * **Technology:** Any scripting/programming language (to call the APIs)   * **Technology:** Any scripting/programming language (to call the APIs)
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 ==== [SBK] OpenML dataset creation script for Meta-Learning ==== ==== [SBK] OpenML dataset creation script for Meta-Learning ====
  
-  * **Student:** FIXME +  * **Student:** Dominik Tyszownicki 
-  * **Namespace in the wiki:** [[..:projects:2022:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2023:openmlds:]]
   * **The goal of the project:** Prepare a script that will build meta-learnign dataset out of OpenML logs   * **The goal of the project:** Prepare a script that will build meta-learnign dataset out of OpenML logs
   * **Technology:** Python, [[https://docs.openml.org/APIs/|OpenML API]]   * **Technology:** Python, [[https://docs.openml.org/APIs/|OpenML API]]
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 ==== [SBK] InXAI for images ==== ==== [SBK] InXAI for images ====
  
-  * **Student:** FIXME +  * **Student:** Piotr Szegda 
-  * **Namespace in the wiki:** [[..:projects:2022:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2022:inxaiimg:]]
   * **The goal of the project:** Contribute to the InXAI framework by extending it with image modality   * **The goal of the project:** Contribute to the InXAI framework by extending it with image modality
   * **Technology:** Python   * **Technology:** Python
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     * You can start with: [[https://github.com/sbobek/inxai/blob/dev/examples/AUCloss(2).ipynb|some-not-entirely-working-preliminary-work]]     * You can start with: [[https://github.com/sbobek/inxai/blob/dev/examples/AUCloss(2).ipynb|some-not-entirely-working-preliminary-work]]
  
- 
-==== [SBK] Implementaiton of oblique trees in PyUID3 ==== 
- 
-  * **Student:** FIXME 
-  * **Namespace in the wiki:** [[..:projects:2023:FIXME:]] 
-  * **The goal of the project:** Implement Oblique version of decision tree generation algorithm 
-  * **Technology:** Python 
-  * **Description:** The goal of the project is to extend the PyUID3 algorithm to use oblique split criterion. 
-     
-{{ :courses:wshop:topics:oblique.png?200 |}} 
- 
-  * **Links:** 
-    * [[https://github.com/sbobek/pyuid3|PyUID3]] 
-    * [[https://github.com/sbobek/lux|LUX]] 
  
 ==== [SBK] Wizualizacja (interaktywna) drzew decyzyjnych ==== ==== [SBK] Wizualizacja (interaktywna) drzew decyzyjnych ====
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   * **Student:** FIXME   * **Student:** FIXME
-  * **Namespace in the wiki:** [[..:projects:2023:FIXME:]]+  * **Namespace in the wiki:** [[..:projects:2023:prototsnet:]]
   * **The goal of the project:** Przeglad i implementacja wybranej metody klasyfikacji szeregów czasowych z wykorzystaniem prototypów jako wyjaśnień   * **The goal of the project:** Przeglad i implementacja wybranej metody klasyfikacji szeregów czasowych z wykorzystaniem prototypów jako wyjaśnień
   * **Technology:** Python, [[https://streamlit.io/|Streamlit]]   * **Technology:** Python, [[https://streamlit.io/|Streamlit]]
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   * **Links:**   * **Links:**
 +    * https://ojs.aaai.org/index.php/AAAI/article/view/6165
     * https://dl.acm.org/doi/abs/10.1145/3514221.3526183     * https://dl.acm.org/doi/abs/10.1145/3514221.3526183
     * https://bib.dbvis.de/uploadedFiles/IEEE_Access_2022___XAI_Time_Series_Review.pdf     * https://bib.dbvis.de/uploadedFiles/IEEE_Access_2022___XAI_Time_Series_Review.pdf
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     * https://www.mdpi.com/2227-7390/9/23/3137     * https://www.mdpi.com/2227-7390/9/23/3137
  
 +
 +==== [SBK] Ewaluacja wyjaśnień ====
 +
 +  * **Student:** FIXME
 +  * **Namespace in the wiki:** [[..:projects:2023:FIXME:]]
 +  * **The goal of the project:** Przeglad i implementacja wybranej metodologii ewaluacji wyjaśnień
 +  * **Technology:** Python, [[https://streamlit.io/|Streamlit]]
 +  * **Description:** Celem projektu jest zaimplementowanie (w formie notebooka na Google Colab) procedury ewaluacyjnej dla algorytmów wyjaśnielnaej sztucznej inteligencji.
 +    
 +
 +
 +  * **Links:**
 +    * https://dl.acm.org/doi/10.1145/3442188.3445941
 +    * 
 ==== [KKT] Template ==== ==== [KKT] Template ====
  
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