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Non-invasive anaerobic threshold measurement using fuzzy model interpolation.

, , , , and . CCA, page 1711-1715. IEEE, (2014)

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Self-distilled Pruning of Deep Neural Networks., , and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 655-670. Springer, (2022)Automatic Taxonomy Generation: A Use-Case in the Legal Domain., , and . LCT, volume 12598 of Lecture Notes in Computer Science, page 318-328. Springer, (2017)Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network., and . AAAI, page 5342-5349. AAAI Press, (2018)Non-invasive anaerobic threshold measurement using fuzzy model interpolation., , , , and . CCA, page 1711-1715. IEEE, (2014)I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review., , , , and . EMNLP (1), page 7092-7108. Association for Computational Linguistics, (2021)NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity., , and . WASSA@EMNLP, page 175-179. Association for Computational Linguistics, (2017)Analysing Dropout and Compounding Errors in Neural Language Models., and . CoRR, (2018)Improved Vector Quantization For Dense Retrieval with Contrastive Distillation., and . SIGIR, page 2072-2076. ACM, (2023)Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering., , , and . LREC, page 2017-2025. European Language Resources Association, (2020)Tick Parasitism Classification from Noisy Medical Records., , , and . KDH@IJCAI, volume 2429 of CEUR Workshop Proceedings, page 30-34. CEUR-WS.org, (2019)