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A de novo molecular generation method using latent vector based generative adversarial network.

, , , , , , and . J. Cheminformatics, 11 (1): 74 (2019)

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Data Analytics for Improving Energy Efficiency in Short Sea Shipping., , , , , and . CoRR, (2024)Improving Deep Generative Models with Randomized SMILES., , , , , , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 747-751. Springer, (2019)Spatial Clustering Approach for Vessel Path Identification., , , , and . CoRR, (2024)Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes., , , and . IEEE Big Data, page 5260-5265. IEEE, (2023)Randomized SMILES strings improve the quality of molecular generative models., , , , , , , and . J. Cheminformatics, 11 (1): 71:1-71:13 (2019)Assessing aesthetic criteria in the evolutionary dungeon designer., , , , and . FDG, page 44:1-44:4. ACM, (2018)A de novo molecular generation method using latent vector based generative adversarial network., , , , , , and . J. Cheminformatics, 11 (1): 74 (2019)Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping., , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 226-241. Springer, (2023)