This commit is contained in:
NotXia
2024-01-12 20:22:12 +00:00
parent 23d0ff3d26
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const i={projects:{t:0,b:{t:2,i:[{t:3}],s:"Progetti"}},wip:{t:0,b:{t:2,i:[{t:3}],s:"Attualmente sto lavorando a"}},completed:{t:0,b:{t:2,i:[{t:3}],s:"Progetti completati"}},"unibo_20-21":{t:0,b:{t:2,i:[{t:3}],s:"Università di Bologna, A.A. 2020-2021"}},"unibo_21-22":{t:0,b:{t:2,i:[{t:3}],s:"Università di Bologna, A.A. 2021-2022"}},"unibo_22-23":{t:0,b:{t:2,i:[{t:3}],s:"Università di Bologna, A.A. 2022-2023"}},"unibo_23-24":{t:0,b:{t:2,i:[{t:3}],s:"Università di Bologna, A.A. 2023-2024"}},"notxia.github.io.description":{t:0,b:{t:2,i:[{t:3}],s:"Ecco un'anteprima segreta del mio sito."}},"no recursion":{t:0,b:{t:2,i:[{t:3}],s:"Ricorsione fuori servizio, mi scuso per il disagio."}},"tablut.description":{t:0,b:{t:2,i:[{t:3}],s:`Progetto per il corso di Fundamentals of Artificial Intelligence and Knowledge Representation (modulo 1).
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const t={projects:{t:0,b:{t:2,i:[{t:3}],s:"Projects"}},wip:{t:0,b:{t:2,i:[{t:3}],s:"Currently I'm working on"}},completed:{t:0,b:{t:2,i:[{t:3}],s:"Completed projects"}},"unibo_20-21":{t:0,b:{t:2,i:[{t:3}],s:"University of Bologna, A.Y. 2020-2021"}},"unibo_21-22":{t:0,b:{t:2,i:[{t:3}],s:"University of Bologna, A.Y. 2021-2022"}},"unibo_22-23":{t:0,b:{t:2,i:[{t:3}],s:"University of Bologna, A.Y. 2022-2023"}},"unibo_23-24":{t:0,b:{t:2,i:[{t:3}],s:"University of Bologna, A.Y. 2023-2024"}},"notxia.github.io.description":{t:0,b:{t:2,i:[{t:3}],s:"Here's a secret preview of my website."}},"no recursion":{t:0,b:{t:2,i:[{t:3}],s:"Recursion out of service, sorry for the inconvenience."}},"tablut.description":{t:0,b:{t:2,i:[{t:3}],s:`Project for the Fundamentals of Artificial Intelligence and Knowledge Representation (module 1) course.
Agent able to play the Tablut board game.`}},"bsc_thesis.title":{t:0,b:{t:2,i:[{t:3}],s:"Bachelor's thesis"}},"bsc_thesis.thesis_title":{t:0,b:{t:2,i:[{t:3}],s:"Subtopic-oriented biomedical summarization using pretrained language models"}},"bsc_thesis.description":{t:0,b:{t:2,i:[{t:3}],s:"Biomedical extractive summarization using pretrained encoders and clustering."}},"wavemap.description":{t:0,b:{t:2,i:[{t:3}],s:`Project for the Mobile Applications Laboratory course.
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Twitter client with analytics features developed using the Scrum methodology.`}},"animalhouse.description":{t:0,b:{t:2,i:[{t:3}],s:`Project for the Web Technology course.
Web app with three sections:`}},"animalhouse.description.game":{t:0,b:{t:2,i:[{t:3}],s:"Game: area with games and facts about animals"}},"animalhouse.description.frontoffice":{t:0,b:{t:2,i:[{t:3}],s:"Frontoffice: area to access services as a logged user"}},"animalhouse.description.backoffice":{t:0,b:{t:2,i:[{t:3}],s:"Backoffice: administration panel"}},"pandos+.description":{t:0,b:{t:2,i:[{t:3}],s:`Project for the Operating Systems course.
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