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--- courses:xai:p1 [2023/11/23 12:46] – [Self-explainable Neural Networks] admin
+++ courses:xai:p1 [2023/12/04 09:18] (current) – [Lux on Mushrooms datset] admin
@@ Line 12: / Line 12: @@
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 {{: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 {{ :mgr:mgr2024:selfxdnn:ximl2023_exploring_multi_task_learning_for_explainability_aueb.pdf |Exploring Multi-Task Learning for Explainability}}
+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 =====
-===== XAI for effective computing =====
+===== 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]]