Publications (6)
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…
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…
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…
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…
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…
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
Hadrien Pujol, Ãric Bavu, Alexandre Garcia
Sound sources localization using multichannel signal processing has been a subject of active research for decades. In recent years, the use of deep learning in audio signal process…