Image learning interpretability
C. Pachón García, P. Delicado, V. Vilaplana Besler
Interpretability is one of the hottest topics currently. The number of publications in this field has grown recently, since the complexity of the machine learning models has increased, in part due to the emergence of deep learning models.
For an image classification problem, the goal of a local interpretability method is to identify what parts of a certain image are the most relevant for the model to make a prediction. Although there are many local interpretability methods, there is not any method that explains an image model classification globally.
In this work we aim at developing a method to explain an image model classification globally, so that humans can understand what a machine learning model has learned when it classifies images.
Keywords: Interpretability, Explainability, Explainable Artificial Intelligence, Interpretable Machine Learning, XAI, IML, Artificial Intelligence, Deep Learning, Machine Learning
Scheduled
GT04 Multivariate Analysis and Classification IV. Latest Advances in Explainable Machine Learning
June 7, 2022 6:40 PM
Cloister room
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E. Carrizosa, J. Ramírez-Ayerbe, D. Romero Morales
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6/8/22
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Tomorrow, Thursday, we will visit the Alhambra. 1. At 7:00 p.m., buses will start leaving from the door of the Hotel Granada Center (in front of the door of the Faculty of Sciences) 2. Upon arrival, groups with guides will be organized. 3. There will be groups in English language. These groups will wait at the destination until the arrival of all buses. 4. After the visit to the Alhambra we will walk to the Carmen de los Mártires to have a cocktail. 5. On the way back, we can go back by bus, which will leave from the same place where they left us at the Alhambra. 6. Although the way to the Alhambra by bus seems long, it really is close to the city. We invite you, whoever wishes, to go down for a pleasant walk. 7. Do not forget to take your Alhambra ticket and your identity card or passport. The document must be the same whose number matches the ticket number you have.
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5/31/22
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5/27/22
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5/23/22
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5/16/22
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