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Artificial Immune System For Collaborative Spam Filtering

Publications associées (33)

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Elucidating the mechanisms of paclitaxel-loaded-nanoparticle-induced immune response

Efthymia Vokali

Dentritic cells (DC) are the most potent antigen-presenting cells and play a key role in the induction of effective immune responses, suggesting a novel target for anti-tumor immunotherapy. Paclitaxel (PXL) is a widely used chemotherapeutic, initially char ...

2011

In large ad-hoc networks, classification tasks such as spam filtering, multi-camera surveillance, and advertising have been traditionally implemented in a centralized manner by means of fusion centers. These centers receive and process the information that ...

IEEE2011

Mathematical Modeling of T-Cell Experimental Data

Irina Baltcheva

T lymphocytes (T cells) are key components of the adaptive immune system. These cells are able to recognize an enormous variety of pathogens thanks to the great specificity of their trans-membrane proteins, the T cell receptors (TCRs). TCR diversity is cre ...

EPFL2010

Role of lymphatic vessels in tumor immunity: passive conduits or active participants?

Melody Swartz, Amanda Waite Lund

Research in lymphatic biology and cancer immunology may soon intersect as emerging evidence implicates the lymphatics in the progression of chronic inflammation and autoimmunity as well as in tumor metastasis and immune escape. Like the blood vasculature, ...

Springer Verlag2010

Artificial immune system for the Internet

Slavisa Sarafijanovic

We investigate the usability of the Artificial Immune Systems (AIS) approach for solving selected problems in computer networks. Artificial immune systems are created by using the concepts and algorithms inspired by the theory of how the Human Immune Syste ...

EPFL2008

Improving Digest-Based Collaborative Spam Detection

Jean-Yves Le Boudec, Slavisa Sarafijanovic

Spam is usually sent in bulk. A bulk mailing consists of many copies of the same original spam message, each sent to a different recipient. The copies are usually obfuscated, i.e. modified a bit in order to look different from each other. In collaborative ...

2008

Resolving FP-TP Conflict in Digest-Based Collaborative Spam Detection by Use of Negative Selection Algorithm

Jean-Yves Le Boudec, Slavisa Sarafijanovic

A well-known approach for collaborative spam filtering is to determine which emails belong to the same bulk, e.g. by exploiting their content similarity. This allows, after observing an initial portion of a bulk, for the bulkiness scores to be assigned to ...

2008

Exploiting immunofunctional nanoparticles as vaccines and synthetic pathogens

Sai Reddy

The emergence of recombinant DNA technology has shifted research towards developing subunit vaccines, which use protein or peptide antigens instead of live/attenuated pathogens. Recent research has also shown that the best way to get sustained immunity is ...

EPFL2008

Probabilistic models for multi-classifier biometric authentication using quality measures

Jonas Richiardi

Biometric authentication can be cast as a signal processing and statistical pattern recognition problem. As such, it relies on models of signal representations that can be used to discriminate between classes. One of the assumptions typically made by the p ...

EPFL2008

Artificial Immune System For Collaborative Spam Filtering

Jean-Yves Le Boudec, Slavisa Sarafijanovic

Artificial immune systems (AIS) use the concepts and algorithms inspired by the theory of how the human immune system works. This document presents the design and initial evaluation of a new artificial immune system for collaborative spam filtering. Collab ...

2007