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   Herron, Matthew D. (February 2021, Biology & Philosophy)

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2. Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress

   https://doi.org/10.1109/TKDE.2021.3112126  

   Wu, Renjie; Keogh, Eamonn (January 2021, IEEE Transactions on Knowledge and Data Engineering)

   Time series anomaly detection has been a perennially important topic in data science, with papers dating back to the 1950s. However, in recent years there has been an explosion of interest in this topic, much of it driven by the success of deep learning in other domains and for other time series tasks. Most of these papers test on one or more of a handful of popular benchmark datasets, created by Yahoo, Numenta, NASA, etc. In this work we make a surprising claim. The majority of the individual exemplars in these datasets suffer from one or more of four flaws. Because of these four flaws, we believe that many published comparisons of anomaly detection algorithms may be unreliable, and more importantly, much of the apparent progress in recent years may be illusionary. In addition to demonstrating these claims, with this paper we introduce the UCR Time Series Anomaly Archive. We believe that this resource will perform a similar role as the UCR Time Series Classification Archive, by providing the community with a benchmark that allows meaningful comparisons between approaches and a meaningful gauge of overall progress 

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3. Are Mycopesticides the Future of Locust Control?

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   Lecoq, Michel; Cease, Arianne J. (October 2022, Agronomy)

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4. Which entities are relevant for the story?

   Oza, Pooja; Dietz, Laura (May 2021, CEUR workshop proceedings)

   Campos, Ricardo; Jorge, Alípio Mário; Jatowt, Adam; Bhatia, Sumit; Finlayson, Mark (Ed.)

   A crucial step in the construction of any event story or news report is to identify entities involved in the story, such entities can come from a larger background knowledge graph or from a text corpus with entity links. Along with recognizing which entities are relevant to the story, it is also important to select entities that are relevant to all aspects of the story. In this work, we model and study different types of links between the entities with the goal of identifying which link type is most useful for the entity retrieval task. Our approach demonstrates the e 

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5. Where are the missing Kuiper Belt binaries?

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   Lyra, Wladimir (December 2025, Icarus)