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Contrastive Explanations in Neural Networks. from books.google.com
This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, ...
Contrastive Explanations in Neural Networks. from books.google.com
This book is about making machine learning models and their decisions interpretable.
Contrastive Explanations in Neural Networks. from books.google.com
XAI Methods and Applications Moamar Sayed-Mouchaweh. 4.3.2. Contrastive. Explanations. Contrastive or counterfactual ... neural networks that has two main components: • Pertinent negatives (PN), which highlights the features that are ...
Contrastive Explanations in Neural Networks. from books.google.com
... explanations [11]. Exist- ing techniques to why-questions rely on using a post-hoc approach to identify the causal ... Neural Networks with Feature Attribution and Contrastive Explanations 373 1.1 Contrastive vs. Counterfactual.
Contrastive Explanations in Neural Networks. from books.google.com
... explanation of blackbox classifiers using confident itemsets. Expert Syst. Appl. 165, 113941 (2021) [MS63] J ... Contrastive explanations in neural networks (2020) [Rai19] A. Rai, Explainable AI: From black box to glass box. J ...
Contrastive Explanations in Neural Networks. from books.google.com
... Contrastive explanations in neural networks. In: Proceedings of IEEE ICIP, Virtual Event, pp. 3289–3293 (2020) 25. Samek, W., Montavon, G., Vedaldi, A., Hansen, L.K., Müller, K. (eds.): Explain- able AI: Interpreting, Explaining and ...
Contrastive Explanations in Neural Networks. from books.google.com
Pin-Yu Chen, Cho-Jui Hsieh. CHAPTER. 19. Contrastive. explanations. Contrastive explanations aim to generate local explanations for neural networks of a given data input, in which, besides highlighting what is minimally sufficient (e.g. ...
Contrastive Explanations in Neural Networks. from books.google.com
This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom ...
Contrastive Explanations in Neural Networks. from books.google.com
... contrastive explanations for explainable planning . In : Proceedings of the 29th International Conference on ... neural networks . In : Proceedings of the IEEE International Conference on Image Processing ( ICIP ) , pp . 3289–3293 ...
Contrastive Explanations in Neural Networks. from books.google.com
... Explanations based on the missing : towards contrastive explanations with pertinent negatives . In : Proceedings of the 32nd International Conference on Neural ... networks . In : Proceedings of the International Conference on Artificial ...