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MES-loss: Mutually Equidistant Separation Metric Learning Loss Function
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MES-loss: Mutually Equidistant Separation Metric Learning Loss Function
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Services for formation of digital documents metadata in the formats of internati...
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Services for formation of digital documents metadata in the formats of internati...
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Machine learning methods for handling missing data
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Using Dynamic Double Machine Learning for Guided District Heating Forecasting an...
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Q-Deformed Oscillator Algebra and an Index Theorem for the Photon Phase Operator
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Measuring of Oracle Optimizer Performance for Object-Relational Database Entitie...
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Covering Graphs, Magnetic Spectral Gaps and Applications to Polymers and Nanorib...
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A Comparison of Several Algorithms and Models for Analyzing Multivariate Normal...
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Double machine learning and automated confounder selection: A cautionary tale
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Additional file 5: Figure S3. of A multicenter, randomized study of decitabine a...
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Additional file 5: Figure S3. of A multicenter, randomized study of decitabine a...
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Report on the HPSS Database Benchmark
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DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularizatio...
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Report on the HPSS Database Benchmark
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Additional file 4: Figure S2. of A multicenter, randomized study of decitabine a...
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Additional file 4: Figure S2. of A multicenter, randomized study of decitabine a...
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Object segmentation methods for online model acquisition to guide robotic graspi...
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Project EuDML--A First Year Demonstration
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Bouche, Thierry
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Sojka, Petr
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Petr Sojka
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Katja Vinha (11873780)
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Elizarov A.
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Elizarov Aleksandr Mihajlovich
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Lipachev E.
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[INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]
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FOS Mathematics
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