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SHAP-based Explanations to Improve Classification Systems.

, , , and . XAI.it@AI*IA, volume 3518 of CEUR Workshop Proceedings, page 76-86. CEUR-WS.org, (2023)

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Metrological foundations of emotional valence measurement through an EEG-based system., , , , and . I2MTC, page 1-6. IEEE, (2022)Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device., , , , , , , , , and . MetroXRAINE, page 661-666. IEEE, (2022)Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification., , , and . Inf., 9 (10): 252 (2018)A simple and efficient architecture for trainable activation functions., , and . Neurocomputing, (2019)Contrastive Explanations to Classification Systems Using Sparse Dictionaries., , , and . ICIAP (1), volume 11751 of Lecture Notes in Computer Science, page 207-218. Springer, (2019)Preliminary validation of a measurement system for emotion recognition., , , , and . MeMeA, page 1-6. IEEE, (2020)Integrating a Priori Probabilistic Knowledge into Classification for Image Description., , , and . WETICE, page 197-199. IEEE Computer Society, (2017)Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution., , and . ICIAP (1), volume 10484 of Lecture Notes in Computer Science, page 637-647. Springer, (2017)Towards a general framework for improving the performance of classifiers using XAI methods., , , and . CoRR, (2024)Toward the Application of XAI Methods in EEG-based Systems., , , and . XAI.it@AI*IA, volume 3277 of CEUR Workshop Proceedings, page 1-15. CEUR-WS.org, (2022)