Publications associées à Weak supervision

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Pearl Pu Faltings, Claudiu-Cristian Musat, Valentina Sintsova

Each tweet is limited to 140 characters. This constraint surprisingly makes Twitter a more spontaneous platform to express our emotions. Detecting emotions and correctly classifying them automatically is an increasingly important task if we want to underst ...

2014

Pre-Impact Fall Detection: Optimal Sensor Positioning Based on a Machine Learning Paradigm

Silvestro Micera, Fiorenzo Artoni

The aim of this study was to identify the best subset of body segments that provides for a rapid and reliable detection of the transition from steady walking to a slipping event. Fifteen healthy young subjects managed unexpected perturbations during walkin ...

Public Library Science2014

Matrix Completion on Graphs

Pierre Vandergheynst, Michael Bronstein, Xavier Bresson, Vasilis Kalofolias

The problem of finding the missing values of a matrix given a few of its entries, called matrix completion, has gathered a lot of attention in the recent years. Al- though the problem under the standard low rank assumption is NP-hard, Cande`s and Recht sho ...

2014

Prediction of Helpful Reviews using Emotions Extraction

Pearl Pu Faltings, Lionel Jérémie Martin

Reviews keep playing an increasingly important role in the decision process of buying products and booking hotels. However, the large amount of available information can be confusing to users. A more succinct interface, gathering only the most helpful revi ...

2014

Exploiting un-transcribed foreign data for speech recognition in well-resourced languages

Hervé Bourlard, Petr Motlicek, David Imseng

Manual transcription of audio databases for automatic speech recognition (ASR) training is a costly and time-consuming process. State-of-the-art hybrid ASR systems that are based on deep neural networks (DNN) can exploit un-transcribed foreign data during ...

2014

Hydrometeor classification from two-dimensional video disdrometer data

Alexis Berne, Devis Tuia, Jacopo Grazioli, Marc Schneebeli Zeugin, Timothy Hugh Raupach, Samuel Monhart

The first hydrometeor classification technique based on two-dimensional video disdrometer (2DVD) data is presented. The method provides an estimate of the dominant hydrometeor type falling over time intervals of 60 s during precipitation, using the statist ...

European Geosciences Union2014

SVM Active Learning Approach for Image Classification Using Spatial Information

Devis Tuia

In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image classification. Current strategies formulate the active learning problem i ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Parameterized SVM for Personalized Drug Concentration Prediction

Giovanni De Micheli, Alena Simalatsar, Wenqi You Dubout

This paper proposes a parameterized Support Vector Machine (ParaSVM) approach for modeling the Drug Concentration to Time (DCT) curves. It combines the merits of Support Vector Machine (SVM) algorithm that considers various patient features and an analytic ...

2013

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Weak supervision

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Learning with tensors: a framework based on convex optimization and spectral regularization

Pre-Impact Fall Detection: Optimal Sensor Positioning Based on a Machine Learning Paradigm

Matrix Completion on Graphs

Prediction of Helpful Reviews using Emotions Extraction

Exploiting un-transcribed foreign data for speech recognition in well-resourced languages

Hydrometeor classification from two-dimensional video disdrometer data

SVM Active Learning Approach for Image Classification Using Spatial Information

Parameterized SVM for Personalized Drug Concentration Prediction

Graph Chatbot

Chattez avec Graph Search

SVM Active Learning Approach for Image Classification Using Spatial Information

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Parameterized SVM for Personalized Drug Concentration Prediction

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Prediction of Helpful Reviews using Emotions Extraction

Exploiting un-transcribed foreign data for speech recognition in well-resourced languages

Hydrometeor classification from two-dimensional video disdrometer data

Learning with tensors: a framework based on convex optimization and spectral regularization

Pre-Impact Fall Detection: Optimal Sensor Positioning Based on a Machine Learning Paradigm

Matrix Completion on Graphs