most citedA Structured Prediction Approach for Label Ranking

14 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 11 cited

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

Alexandre Garcia, Pierre Colombo, Slim Essid +2

The task of predicting fine grained user opinion based on spontaneous spoken language is a key problem arising in the development of Computational Agents as well as in the developm…

cs.MM2019★ 8 cited

A multimodal movie review corpus for fine-grained opinion mining

Alexandre Garcia, Slim Essid, Florence d'Alché-Buc +1

In this paper, we introduce a set of opinion annotations for the POM movie review dataset, composed of 1000 videos. The annotation campaign is motivated by the development of a hie…

cs.LG2018★ 4 cited

Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization

Christelle Marfaing, Alexandre Garcia

The automatic detection of frauds in banking transactions has been recently studied as a way to help the analysts finding fraudulent operations. Due to the availability of a human…

stat.ML2018★ 14 cited

A Structured Prediction Approach for Label Ranking

Anna Korba, Alexandre Garcia, Florence d'Alché Buc

We propose to solve a label ranking problem as a structured output regression task. We adopt a least square surrogate loss approach that solves a supervised learning problem in two…

cs.LG2018★ 2 cited

Structured Output Learning with Abstention: Application to Accurate Opinion Prediction

Alexandre Garcia, Slim Essid, Chloé Clavel +1

Motivated by Supervised Opinion Analysis, we propose a novel framework devoted to Structured Output Learning with Abstention (SOLA). The structure prediction model is able to absta…