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Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach., , , , , and . CoRR, (2021)Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving., , , , , , and . CoRR, (2022)ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments., , and . INTERSPEECH, page 3523-3527. ISCA, (2022)EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python., , , , , , and . LOD (2), volume 13811 of Lecture Notes in Computer Science, page 249-264. Springer, (2022)Objective Assessment of Subjective Tasks in Crowdsourcing Applications., , , and . CLLRD@LREC, page 15-25. European Language Resources Association, (2020)Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database., , , and . ACII, page 1-7. IEEE, (2019)Feature importance in machine learning models: A fuzzy information fusion approach., , , , , , , and . Neurocomputing, (2022)L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout., , , and . Neurocomputing, (2021)Text data augmentations: Permutation, antonyms and negation., , , and . Expert Syst. Appl., (2021)Benchmarking Deep Learning Models for Driver Distraction Detection., , , and . LOD (2), volume 12566 of Lecture Notes in Computer Science, page 103-117. Springer, (2020)