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A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain

, , , , and . Journal of Biomedical Informatics, (2014)

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A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain, , , , and . Journal of Biomedical Informatics, (2014)Weakly Supervised One-Shot Classification Using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection., , , and . JURIX, volume 322 of Frontiers in Artificial Intelligence and Applications, page 23-32. IOS Press, (2019)LSG Attention: Extrapolation of pretrained Transformers to long sequences., and . CoRR, (2022)Selecting Relevant Association Rules From Imperfect Data., , , , and . SUM, volume 11940 of Lecture Notes in Computer Science, page 107-121. Springer, (2019)Is Transfer Learning Helpful for Neural Combinatorial Optimization Applied to Vehicle Routing Problems?, , and . Comput. Informatics, 41 (1): 172-190 (2022)Neural Order-First Split-Second Algorithm for the Capacitated Vehicle Routing Problem., , and . OLA, volume 1684 of Communications in Computer and Information Science, page 168-185. Springer, (2022)Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes HMM et CRF., , , , and . EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 201-212. Éditions RNTI, (2017)Comparison of Deep Learning Approaches for Protective Behaviour Detection Under Class Imbalance from MoCap and EMG data., , , and . ACII (Workshops and Demos), page 1-8. IEEE, (2021)Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?, , , , , and . Insights, page 71-75. Association for Computational Linguistics, (2020)LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences., and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 443-454. Springer, (2023)