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Preliminary validation of a measurement system for emotion recognition., , , , и . MeMeA, стр. 1-6. IEEE, (2020)Computer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions., , и . ICIAP, стр. 266-270. IEEE Computer Society, (2003)A simple and efficient architecture for trainable activation functions., , и . Neurocomputing, (2019)Contrastive Explanations to Classification Systems Using Sparse Dictionaries., , , и . ICIAP (1), том 11751 из Lecture Notes in Computer Science, стр. 207-218. Springer, (2019)Towards a general framework for improving the performance of classifiers using XAI methods., , , и . CoRR, (2024)Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario., , , , и . Adapt. Behav., 24 (1): 27-51 (2016)A machine learning approach for predictive maintenance for mobile phones service providers., , , и . 3PGCIC, том 1 из Lecture Notes on Data Engineering and Communications Technologies, стр. 717-726. Springer, (2016)Feasibility of cardiovascular risk assessment through non-invasive measurements., , , , , , , и . MetroInd4.0&IoT, стр. 263-267. IEEE, (2019)A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images., , , , , и . ICIAP, том 5716 из Lecture Notes in Computer Science, стр. 613-622. Springer, (2009)An XAI-Based Masking Approach to Improve Classification Systems., , , , и . BEWARE@AI*IA, том 3615 из CEUR Workshop Proceedings, стр. 79-83. CEUR-WS.org, (2023)