Official implementation of "insertion/deletion metrics-aware explanation-based optimization"
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Updated
Feb 27, 2024 - Python
Official implementation of "insertion/deletion metrics-aware explanation-based optimization"
Code for IMVIP 2024 paper "Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM"
Playing by AI's rules - Matching Pairs / Memory with CLIP Cosine Similarity!
Explainable AI for underwater acoustic models.
ANN-based anomaly detection for vehicle components using oscilloscope recordings.
GCN model trained on the IMDB-BINARY dataset and a custom graph class to modify graphs in the dataset as well as explain and approximate the model.
In this project, a character level CNN is used to model sentiments of tweets. Furthermore, XAI techniques such as LayerWise Propagation method is applied to extract support phrases from the tweet as explanation for the model output.
AGV-Project for evolutionary adversarial attacks on XAI methods
Bachelor thesis work: Debugging of a counterfactual-explanation library (CFNOW) and its usage in the context of eXplainable Affective Computing. Final evaluation: 30/30.
A study on the interpretability of the concepts learned by Prototypical Part Networks (ProtoPNets) on the CUB200-2011 and CelebAMask datasets.
Astrapia - A Friendly XAI Explainer Evaluation Framework
TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems
This project uses XAI to make AI-based Alzheimer's predictions understandable for doctors, aiming to improve diagnosis & treatment for patients
Generative approach to exercise performance correction
Webapp/Application implemention of my thesis about XAI and Interpretability of Transformer Models.
Official code for TMLR2024 paper PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans | https://openreview.net/pdf?id=OcFjqiJ98b
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