F-score

Science formelle
Statistique
Analyse des données
Classement automatique

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (25)

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

MEMS Tunable Asymmetric Fabry-Perot Cavity for High-Precision Weighing of Macro Samples

Luc Thévenaz, Alexandre Poulin, Yves-Alain Peter

We propose a microelectromechanical systems-based tunable asymmetric Fabry-Perot cavity for the high-precision weighing of macro samples. The device is based on an in-plane design and is structured in a silicon-on-insulator substrate. The cavity length of ...

Institute of Electrical and Electronics Engineers2013

Identification of Aging Faces using A-stack Classification Model

Andrzej Drygajlo, Weifeng Li

The problem of time validity of biometric models has received only a marginal attention from researchers. In this paper, we investigate the aging influence on the classifier scores of genuine client. Our studies show that as age progresses the classifier s ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Segmentation of head and neck lymph node regions for radiotherapy planning, using active contour based atlas registration

Jean-Philippe Thiran, Meritxell Bach Cuadra, Valérie Duay, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Nawal Houhou

In this paper, we present the segmentation of the head and neck lymph node regions using a new active contour based atlas registration model. We propose to segment the lymph node regions without directly including them in the atlas registration process; in ...

2009

Sleep and Wake Classification With ECG and Respiratory Effort Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method for the online classification of sleep/wake states based on cardiorespiratory signals produced by wearable sensors. The method was conceived in view of its applicability to a wearable sleepiness monitoring device. The method uses a Fas ...

2009

Page 2 sur 2