logseq/pages/PAPERS___2024-EASE-HF-MINER.md

type:: conferencepaper date:: 01-03-2024 - 08:28 full-title:: Automated categorization of pre-trained models for software engineering: A case study with a \HGF dataset external-links:: https://github.com/MDEGroup/EASE-2024-HFminer/tree/main todoist:: 7749287794 year:: 2024 date-start:: status:: ACCEPTED venue:: EASE date-submitted:: 09-03-2024 leader:: people/claudio deadline-submission:: 10-03-2024 progress:: {{renderer :todomaster}}

- #.tabular
	- ## MEETINGS
		- {{query (and [[PAPERS/2024-EASE-HF-MINER]] (block-property :type [[meeting]]) (not (page [[PAPERS/2024-EASE-HF-MINER]])))}}
		- query-table:: true
	- ## READINGS
		- #+BEGIN_QUERY
		    {:title "Related readings in Omnivore"
		  :query [:find (pull ?b [*] )
		        :in $ ?current-page
		  	  :where
		  		    [?b :block/page ?p]
		              [?p :block/name ?p-name]
		  		    [?b :block/content ?c]
		  		    [(clojure.string/includes? ?c ?current-page)]
		              [(clojure.string/includes? ?p-name "omnivore")]
		  		  ]
		         :inputs [:current-page]}
		  #+END_QUERY
		-
	- ## TASKs
		- DONE Vedere abstract
		- DONE Vedere Intro
		- DONE Vedere motivation
		- DONE Vedere proposed approach
		- DONE Vedere Evaluation
		- DONE Vedere Threats
		- DONE Related work
		- DONE Conclusion
		- DONE Final reading
		-
		-
		- ## ❓️ QUESTIONS TO ANSWER
		  {{query (and [[question]][[PAPERS/2024-EASE-HF-MINER]])}}
	- ## [[PAPERS/NOTES]]