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QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules.

, , , , , , и . CoRR, (2023)

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Qian-Qian Jiang

Xiaoning Shi

Xiaoning Nie

Qian-Qian Jiang

Xiaoning Zhao

 

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Experimental Design via Generalized Mean Objective Cost of Uncertainty., , и . IEEE Access, (2019)Quantifying the Multi-Objective Cost of Uncertainty., , и . IEEE Access, (2021)Geometric Affinity Propagation for Clustering With Network Knowledge., , и . IEEE Trans. Knowl. Data Eng., 35 (11): 11419-11436 (ноября 2023)Optimally adapted indexing trees for medical image databases., и . ISBI, стр. 321-324. IEEE, (2002)Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data., , , , и . NeurIPS, стр. 9133-9142. (2018)Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data., , , , и . MLHC, том 182 из Proceedings of Machine Learning Research, стр. 101-122. PMLR, (2022)Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)., , и . BMC Bioinform., 18 (S-4): 1-3 (2017)Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness., , , , , , и . ICASSP, стр. 3988-3992. IEEE, (2022)Image co-saliency detection via locally adaptive saliency map fusion., , и . ICASSP, стр. 1897-1901. IEEE, (2017)Assessment of network module identification across complex diseases, , , , , , , , , и 168 other автор(ы). Nature Methods, 16 (9): 843--852 (2019)