I would like to invite you to register to the upcoming AI-Café session with Fabrizio Sebastiani on May 31st, 2023 from 2 – 3 pm CET.

Register here for free:  https://attendee.gotowebinar.com/register/2603124996136364630

Next Speaker

Fabrizio Sebastiani

Institute for the Science and Technology of Information Italian National Council of Research

Description

Learning to quantify (a.k.a. “quantification", or "class prior estimation”) is the task of using supervised learning for training “quantifiers”, i.e., estimators of class proportions in unlabelled data. In data science, learning to quantify is a task of its own, related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier (the “classify and count” method) is known to often return inaccurate class proportion estimates. In this talk I will introduce learning to quantify by discussing applications of learning to quantify, by looking at the reasons why “classify and count” is a suboptimal quantification method, by illustrating some better quantification methods, and by discussing open problems in quantification research.

Speaker´s Short Bio

Fabrizio Sebastiani is a Director of Research at the Institute for the Science and Technologies of Information of the Italian National Council of Research (ISTI-CNR), where he leads the AI4Text group; formerly he was a Principal Scientist at the Qatar Computing Research Institute (2014/16), and an Associate Professor at the Department of Pure and Applied Mathematics of the University of Padova, Italy (2005/06). His research interests lie at the interface of machine learning, NLP, information retrieval, and data mining, with particular emphasis on learning to quantify, technology-assisted review, authorship analysis, cross-lingual learning, and their applications.

He is a Senior Associate Editor and the Acting Editor-in-Chief for ACM Transactions on Information Systems (ACM Press), a Founding Editor and former co-Editor-in-Chief of Foundations and Trends in Information Retrieval (Now Publishers), and a former member of the editorial boards of numerous journals in the field. He is the Editor for EMEA of Springer's Information Retrieval book series. He has been, among others, a General Chairman of ECIR 2003, SPIRE 2011, ACM SIGIR 2016, ECIR 2021, and CLEF 2022, and a Program Chairman of ACM SIGIR 2008, ECDL 2010, and ACM AFIRM 2020.

A fairly complete list of his publications is at https://goo.gl/nfxkFd