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Benchmarking Deep Learning Models for Driver Distraction Detection.

, , , and . LOD (2), volume 12566 of Lecture Notes in Computer Science, page 103-117. Springer, (2020)

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L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout., , , and . CoRR, (2019)A Hybrid Deep Learning Approach for Driver Distraction Detection., , , and . ICTC, page 1-6. IEEE, (2020)Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour., , , , , , and . ITSC, page 1-7. IEEE, (2020)Few-Shot Learning for Postnatal Gestational Age Estimation., , , , , , and . IJCNN, page 1-8. IEEE, (2021)Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database., , , and . ACII, page 1-7. IEEE, (2019)Benchmarking Deep Learning Models for Driver Distraction Detection., , , and . LOD (2), volume 12566 of Lecture Notes in Computer Science, page 103-117. Springer, (2020)Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks., , and . AIME, volume 12299 of Lecture Notes in Computer Science, page 359-370. Springer, (2020)L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout., , , and . Neurocomputing, (2021)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)