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A New Deep Learning Training Scheme: Application to Biomedical Data.

, , , and . ISBRA, volume 13064 of Lecture Notes in Computer Science, page 451-459. Springer, (2021)

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AttentionDTA: prediction of drug-target binding affinity using attention model., , , , and . BIBM, page 64-69. IEEE, (2019)MSDRP: a deep learning model based on multisource data for predicting drug response., , , , and . Bioinform., (September 2023)Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2092-2110 (2022)FedKD-DTI: Drug-Target Interaction Prediction Based on Federated Knowledge Distillation., , and . ISBRA (2), volume 14955 of Lecture Notes in Computer Science, page 95-106. Springer, (2024)TopoLa: a novel embedding framework for understanding complex networks., , , , , and . CoRR, (2024)NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks., , , , , and . Briefings Bioinform., (2022)LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM., , and . ISBRA (2), volume 14955 of Lecture Notes in Computer Science, page 152-163. Springer, (2024)IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism., , , and . Bioinform., 38 (17): 4153-4161 (2022)A New Deep Learning Training Scheme: Application to Biomedical Data., , , and . ISBRA, volume 13064 of Lecture Notes in Computer Science, page 451-459. Springer, (2021)HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism., , , and . Bioinform., 38 (3): 655-662 (2022)