The following pages link to Fabrizio Sebastiani (Q1631813):
Displaying 22 items.
- Optimizing non-decomposable measures with deep networks (Q1631814) (← links)
- Word-class embeddings for multiclass text classification (Q2036741) (← links)
- Lightweight random indexing for polylingual text classification (Q2829187) (← links)
- A model of multimedia information retrieval (Q3196623) (← links)
- Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. (Q3465330) (← links)
- (Q4319709) (← links)
- (Q4424222) (← links)
- TOWARDS A LOGICAL RECONSTRUCTION OF INFORMATION RETRIEVAL THEORY (Q4781275) (← links)
- (Q4808536) (← links)
- (Q4856973) (← links)
- (Q4956016) (← links)
- Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach (Q6135973) (← links)
- Binary quantification and dataset shift: an experimental investigation (Q6609079) (← links)
- Sentiment Quantification Datasets (Q6720440) (← links)
- Learning to quantify: LeQua 2022 datasets (Q6720448) (← links)
- Learning to quantify: LeQua 2024 datasets (Q6720461) (← links)
- Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts (Q6722484) (← links)
- Cherenkov Telescope Data for Ordinal Quantification (Q6722487) (← links)
- UCI and OpenML Data Sets for Ordinal Quantification (Q6722490) (← links)
- Product Reviews for Ordinal Quantification (Q6722491) (← links)
- Datasets of the article "From Classification to Quantification in Tweet Sentiment Analysis" (Q6722498) (← links)
- Datasets of ASONAM-2015 paper "Tweet sentiment: From classification to quantification" (Q6722500) (← links)
