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Sensor-based self-calibration of the iCub's head., , и . IROS, стр. 5666-5672. IEEE, (2010)Explaining ANN-modeled fMRI Data with Path-Weights and Layer-Wise Relevance Propagation., и . xAI (Late-breaking Work, Demos, Doctoral Consortium), том 3554 из CEUR Workshop Proceedings, стр. 24-29. CEUR-WS.org, (2023)Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data., и . LOD (2), том 14506 из Lecture Notes in Computer Science, стр. 433-448. Springer, (2023)Path Weights Analyses in a Shallow Neural Network to Reach Explainable Artificial Intelligence (XAI) of fMRI Data., и . LOD (2), том 13811 из Lecture Notes in Computer Science, стр. 417-431. Springer, (2022)Towards XAI: Interpretable Shallow Neural Network Used to Model HCP's fMRI Motor Paradigm Data., и . IWBBIO (2), том 13347 из Lecture Notes in Computer Science, стр. 260-274. Springer, (2022)Resource Provisioning in Fog Computing through Deep Reinforcement Learning., , , и . IM, стр. 431-437. IEEE, (2021)ASAPPpy: a Python Framework for Portuguese STS., , и . ASSIN@STIL, том 2583 из CEUR Workshop Proceedings, стр. 14-26. CEUR-WS.org, (2019)Performance Impact of Queue Sorting in Container-Based Application Scheduling., , , , , и . CNSM, стр. 1-9. IEEE, (2023)Live Demonstration of Service Function Chaining allocation in Fog Computing., , , и . NetSoft, стр. 362-364. IEEE, (2020)Strategic Communication and Barriers to Strategy Implementation., , и . ICE/ITMC, стр. 1-5. IEEE, (2019)