101 citations · 126 across the 8 of their papers we have counts for
9 papers
Shaping the Future of Endangered and Low-Resource Languages -- Our Role in the Age of LLMs: A Keynote at ECIR 2024
Josiane Mothe
Isidore of Seville is credited with the adage that it is language that gives birth to a people, and not the other way around , underlining the profound role played by language in t…
Can we predict QPP? An approach based on multivariate outliers
Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani +3
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents. While state-of-the-art predictors offer a certain…
Selective Query Processing: a Risk-Sensitive Selection of System Configurations
Josiane Mothe, Md Zia Ullah
In information retrieval systems, search parameters are optimized to ensure high effectiveness based on a set of past searches and these optimized parameters are then used as the s…
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu +2
The class distribution of data is one of the factors that regulates the performance of machine learning models. However, investigations on the impact of different distributions ava…
Getting Insights from a Large Corpus of Scientific Papers on Specialisted Comprehensive Topics -- the Case of COVID-19
Bernard Dousset, Josiane Mothe
COVID-19 is one of the most important topic these days, specifically on search engines and news. While fake news are easily shared, scientific papers are reliable sources where inf…
Forward and Backward Feature Selection for Query Performance Prediction
Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe +1
The goal of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance judgements. Post-retrieval f…