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Disambiguation of "Michalopoulos, George"

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ICDBigBird: A Contextual Embedding Model for ICD Code Classification.

, , , , and . BioNLP@ACL, page 330-336. Association for Computational Linguistics, (2022)

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Michel Michalopoulos

George Mertzios

Combinatorial optimization and recognition of graph classes with applications to related models. TU Aachen, (2009)

George Marinescu

George Biros

George Bandlamudi

 

Other publications of authors with the same name

Analysis and Experimental Evaluation of Time-Dependent Distance Oracles., , , , , and . ALENEX, page 147-158. SIAM, (2015)MedicalSum: A Guided Clinical Abstractive Summarization Model for Generating Medical Reports from Patient-Doctor Conversations., , , and . EMNLP (Findings), page 4741-4749. Association for Computational Linguistics, (2022)Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques., , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 53-57. IOS Press, (2020)Engineering Oracles for Time-Dependent Road Networks., , , , , and . CoRR, (2015)Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method., , , , , , , and . CoRR, (2021)Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data., , and . ClinicalNLP@EMNLP, page 215-226. Association for Computational Linguistics, (2020)UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus., , , , and . NAACL-HLT, page 1744-1753. Association for Computational Linguistics, (2021)ICDBigBird: A Contextual Embedding Model for ICD Code Classification., , , , and . BioNLP@ACL, page 330-336. Association for Computational Linguistics, (2022)Revealing Common and Rare Patterns for Peritoneal Dialysis Eligibility Decisions with Association Discovery and Disentanglement., , , , , , , and . BIBM, page 927-933. IEEE, (2020)Federated Deep Learning Architecture for Personalized Healthcare., , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 193-197. IOS Press, (2021)