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Learning to Rank when Grades Matter., , , , , and . CoRR, (2023)Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings., , , and . Neurocomputing, (2019)H∞ state estimation for memristive neural networks with multiple fading measurements., , , , and . Neurocomputing, (2017)Scale Calibration of Deep Ranking Models., , , , and . KDD, page 4300-4309. ACM, (2022)Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds., , , , and . IEEE Access, (2020)Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance., , , , , , , , and . CIKM, page 4502-4508. ACM, (2023)Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?, , , , , , , and . ICLR, OpenReview.net, (2021)Towards a Responsive, Yet Power-ef.cient, Operating System: A Holistic Approach., , and . MASCOTS, page 249-257. IEEE Computer Society, (2005)Revisiting Two-tower Models for Unbiased Learning to Rank., , , , , and . SIGIR, page 2410-2414. ACM, (2022)Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems., , and . ICCAD, page 30-38. IEEE Computer Society / ACM, (2003)