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FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data., , , , , , and . CoRR, (2023)Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms., , , and . J. Artif. Intell. Res., (2021)Scaling User Preference Learning in Near Real-Time to Large Datasets., and . MAICS, volume 1144 of CEUR Workshop Proceedings, page 68-73. CEUR-WS.org, (2014)Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement., , and . FLAIRS, (2021)The effect of response complexity and media on user restatement with multimodal virtual assistants., and . Int. J. Hum. Comput. Stud., (2018)The Success of Conversational AI and the AI Evaluation Challenge It Reveals.. AI Mag., 43 (1): 139-141 (2022)Is AI at Human Parity Yet? A Case Study on Speech Recognition.. AI Mag., 43 (4): 386-389 (2022)A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts., and . CoRR, (2022)Experimental Comparison of Online Anomaly Detection Algorithms., , , and . FLAIRS, page 364-369. AAAI Press, (2019)Applying MapReduce to Learning User Preferences in Near Real-Time., and . ICCBR, volume 7969 of Lecture Notes in Computer Science, page 15-28. Springer, (2013)