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Ardelean Eugen-Richard's Projects

cfr icon cfr

Python implementation of Corrected Fisher Randomization (CFR)

edging-distance icon edging-distance

A path-based distance computation for non-convexity with applications in clustering and clustering performance evaluation

lgb icon lgb

Python implementation of the Linde–Buzo–Gray (LGB) algorithm

pcnn icon pcnn

Python implementation of the Pulse Coupled Neural Network (PCNN)

perturbation icon perturbation

Python implementation of a data perturbation method to determine relevant features for NN learning

psychophysics icon psychophysics

C# implementation of a staircase algorithm and the quest algorithm used to determine an individual's threshold for detecting a stimulus

som-exploit icon som-exploit

Python implementation of exploiting SOMs for clustering

space-breakdown-method icon space-breakdown-method

Space Breakdown Method (SBM) is a clustering algorithm developed for Spike Sorting handling overlapping and imbalanced data. Improved Space Breakdown Method (ISBM) is the updated and improved version of SBM. A new algorithm for the detection of brain oscillations packets has been developed based on SBM, called Time-Frequency Breakdown Method (TFBM)

spike-cluster-score icon spike-cluster-score

Spike Cluster Score (SCS) is a clustering performance metric designed with the purpose of spike sorting in mind.

time-frequency-breakdown-method icon time-frequency-breakdown-method

The Time-Frequency Breakdown Method (TFBM) was developed for the detection of brain oscillations in time-frequency representations (such as spectrograms obtained from the Fourier Transform).

tme icon tme

Python implementation of Tensor Maximum Entropy (TME)

utcn-fa icon utcn-fa

Fundamental algorithms laboratory assignments.

utcn-pl icon utcn-pl

Logic Programming laboratories at the Technical University of Cluj-Napoca

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