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, ...
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 ...
... 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. 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 ...
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. ...
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 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 ...
... 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 ...