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--- courses:xai:p1 [2023/11/23 08:08] – created admin
+++ courses:xai:p1 [2023/12/04 09:18] (current) – [Lux on Mushrooms datset] admin
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 ====== Programming Assignment I======
 Select one of the assignments below.
-Assignments marked with X can be extended as a continution in Programming Assgnment II
+Assignments marked with {{:courses:xai:winner.png?25|}} can be extended as a continution in Programming Assgnment II.
-===== XX =====
+Projects marked with {{:courses:xai:contract.png?25|}} can be (with some additional work and depending on the results) published as scientific papers.
+===== SHAP for time series  =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+Main goal of the project is to take the code: https://github.com/sbobek/WindowSHAP/tree/main
+And add possibility of adding dynamic windows using ruptures point-detection algorithm.
+===== Actionable SHAP =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+The goal of this project is to use shapley values to find counterfactual explanations.
+===== Self-explainable Neural Networks =====
+{{:courses:xai:winner.png?30|}}
+The goal of this project is to reproduce results from {{ :courses:xai:ximl2023_exploring_multi_task_learning_for_explainability_aueb.pdf |Exploring Multi-Task Learning for Explainability}}
+===== Lux on Mushrooms datset =====
+The goal of this work is to test how LUX works on the Mushroom daatset.
+  * Dataset: [[https://archive.ics.uci.edu/dataset/848/secondary+mushroom+dataset|Download]]
+  * Example preprocessing: [[https://colab.research.google.com/drive/1o7svANZLp5AGH0mvN906OG4QGCyi26I5|Colab Notebook]]
+===== XAI for affective computing =====
+The goal of this project is to calculate various XAI models for affective prediciton models
+  * Start with the model: [[https://colab.research.google.com/drive/19xlYqtoGz80M6fHmOQsE7TAFf2xyPt9b?usp=sharing|Colab model for LSTMConv1 models]]
+---
+[[https://www.flaticon.com/free-icons/award | Award icons created by Freepik - Flaticon]]