50 lines
1.5 KiB
Markdown
50 lines
1.5 KiB
Markdown
type:: [[conferencepaper]]
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date:: [[01-03-2024]] - 08:28
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full-title:: Automated categorization of pre-trained models for software engineering: A case study with a \HGF dataset
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external-links:: https://github.com/MDEGroup/EASE-2024-HFminer/tree/main
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todoist:: [7749287794](https://todoist.com/showTask?id=7749287794)
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year:: 2024
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date-start::
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status:: [[ACCEPTED]]
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venue:: [[EASE]]
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date-submitted:: [[09-03-2024]]
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leader:: [[people/claudio]]
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deadline-submission:: [[10-03-2024]]
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progress:: {{renderer :todomaster}}
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- #.tabular
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- ## MEETINGS
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- {{query (and [[PAPERS/2024-EASE-HF-MINER]] (block-property :type [[meeting]]) (not (page [[PAPERS/2024-EASE-HF-MINER]])))}}
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- query-table:: true
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- ## READINGS
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- #+BEGIN_QUERY
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{:title "Related readings in Omnivore"
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:query [:find (pull ?b [*] )
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:in $ ?current-page
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:where
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[?b :block/page ?p]
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[?p :block/name ?p-name]
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[?b :block/content ?c]
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[(clojure.string/includes? ?c ?current-page)]
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[(clojure.string/includes? ?p-name "omnivore")]
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]
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:inputs [:current-page]}
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#+END_QUERY
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-
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- ## TASKs
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- DONE Vedere abstract
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- DONE Vedere Intro
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- DONE Vedere motivation
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- DONE Vedere proposed approach
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- DONE Vedere Evaluation
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- DONE Vedere Threats
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- DONE Related work
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- DONE Conclusion
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- DONE Final reading
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-
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-
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- ## ❓️ QUESTIONS TO ANSWER
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{{query (and [[question]][[PAPERS/2024-EASE-HF-MINER]])}}
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- ## [[PAPERS/NOTES]]
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-
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- |