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AntispamLab - A Tool for Realistic Evaluation of Email Spam Filters
Publications associées (36)
Template Induction over Unstructured Email Corpora
Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...
International World Wide Web Conferences Steering Committee Republic and Canton of Geneva, Switzerland ©20172017Profiling, Modelling and Facilitating Online Activism
The extensive and successful use of social media has enhanced and empowered a variety of movements all over the world in a way that is hard to achieve through conventional means. This has led to numerous studies that leverage online social data to describe ...
EPFL2017Implementation of FIR filters for fast multi-channel processing
Digital signal processors are ubiquitous in electronics, with applications ranging from sound processing to software-defined radio. Finite impulse response (FIR) filters are among the components that are used for the processing; the implementation is tailo ...
2017On the use of client identity information for face anti-spoofing
With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing s ...
2015A Low Power BAW Resonator Based 2.4-GHz Receiver With Bandwidth Tunable Channel Selection Filter at RF
Christian Enz, Aravind Prasad Heragu Singaiyengar
A low power sub-sampling multi-channel 2.4-GHz receiver front-end is presented. Bulk Acoustic Wave (BAW) resonators which intrinsically exhibit high quality factor (Q) are exploited in the frequency synthesis to provide low phase noise signal with low powe ...
Ieee-Inst Electrical Electronics Engineers Inc2013The impact of denoising on independent component analysis of functional magnetic resonance imaging data
Dimitri Nestor Alice Van De Ville, Thierry Pun, Christoph Michel
Independent component analysis (ICA) is a suitable method for decomposing functional magnetic resonance imaging (fMRI) activity into spatially independent patterns. Practice has revealed that low-pass filtering prior to ICA may improve ICA results by reduc ...
Elsevier2013Light spectral filtering based on spatial adiabatic passage
We present the first experimental realization of a light spectral filter based on the spatial adiabatic passage technique. We demonstrate that a fully integrable CMOS-compatible system of three coupled identical total internal reflection silicon oxide wave ...
Nature Publishing Group2013Optimal use of conservation and accessibility filters in microRNA target prediction
Jiri Vanicek, Ray Marcel Marin Florez
It is generally accepted that filtering microRNA (miRNA) target predictions by conservation or by accessibility can reduce the false discovery rate. However, these two strategies are usually not exploited in a combined and flexible manner. Here, we introdu ...
Public Library of Science2012Discovering relevant spatial filterbanks for VHR image classification
In very high resolution (VHR) image classification it is common to use spatial filters to enhance the discrimination among landuses related to similar spectral properties but different spatial characteristics. However, the filters types that can be used ar ...
2012Efficient Schemes for Adaptive Frequency Tracking and their Relevance for EEG and ECG
Amplitude and frequency are the two primary features of one-dimensional signals, and thus both are widely utilized to analysis data in numerous fields. While amplitude can be examined directly, frequency requires more elaborate approaches, except in the si ...
EPFL2012