7 papers
Quantifying Query Fairness Under Unawareness
Thomas Jaenich, Alejandro Moreo, Alessandro Fabris +4
Traditional ranking algorithms are designed to retrieve the most relevant items for a user's query, but they often inherit biases from data that can unfairly disadvantage vulnerabl…
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective
Mattia Setzu, Silvia Corbara, Anna Monreale +2
While a substantial amount of work has recently been devoted to enhance the performance of computational Authorship Identification (AId) systems, little to no attention has been pa…
Regularization-Based Methods for Ordinal Quantification
Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani +1
Quantification, i.e., the task of training predictors of the class prevalence values in sets of unlabeled data items, has received increased attention in recent years. However, mos…
Binary Quantification and Dataset Shift: An Experimental Investigation
Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Quantification is the supervised learning task that consists of training predictors of the class prevalence values of sets of unlabelled data, and is of special interest when the l…
Same or Different? Diff-Vectors for Authorship Analysis
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
We investigate the effects on authorship identification tasks of a fundamental shift in how to conceive the vectorial representations of documents that are given as input to a supe…
Unravelling Interlanguage Facts via Explainable Machine Learning
Barbara Berti, Andrea Esuli, Fabrizio Sebastiani
Native language identification (NLI) is the task of training (via supervised machine learning) a classifier that guesses the native language of the author of a text. This task has…