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In this project presented two statistically grounded approaches capable of evaluating binary classifiers in absence of annotated Ground Truth (subscribed data).

Matlab functions to read a text file into a cell array of strings and to write cell arrays of strings to a text file

Computer Vision algorithm backend for Hololens

Fork of yael (http://yael.gforge.inria.fr/)

This software simulates a finite-time observer for continuous-time ODEs.

implementation of a Remez algorithm for the design of FIR filters

The MATLAB functions which have been used for simulations mentioned in the paper. The simulations have been focused on one-dimensional dissipative granular chains as well as on Newton's cradle.

some matlab functions to perform approximation with passive systems

Demonstration prototype in a Hololens device of a smart personal assistant.

Random dual error estimator for the PGD solution of parametrized problem.

Working folder for Tartiflette.

Wireless project folder fort Raclette group

This is a simulation program based on virus dynamical spreading model. The code is in Chinese in the original Github repositories(https://github.com/LeoLeos/wuhanMatlabSimulation). The simulation is used only for theoretical reference.

Code initially developed for a publication in the conference ICIP 2006. Part of it has been improved later on (up until 2010).