DAMIANO
SPINA VALENTI
Researcher in the period 2012-2014
2025
-
EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
Lecture Notes in Computer Science
-
Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos (Extended Overview)
CEUR Workshop Proceedings
-
Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)
Annals of the Entomological Society of America, Vol. 59, Núm. 1
2024
-
EXIST 2024: sEXism Identification in Social neTworks and Memes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Overview of EXIST 2024 - Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes (Extended Overview)
CEUR Workshop Proceedings
-
Overview of EXIST 2024 — Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
-
Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and Characterization (Extended Overview)
CEUR Workshop Proceedings
-
Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and Characterization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Overview of EXIST 2023: sEXism Identification in Social NeTworks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022
-
Overview of EXIST 2022:: sEXism Identification in Social neTworks
Procesamiento del lenguaje natural, Núm. 69, pp. 229-240
-
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That
SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval