scabini

ADCN

Angular Descriptors of Complex Networks for Shape Analysis

COmplexVID-19

Simulate COVID-19 epidemic spreading with Complex Networks, given demographic data of a given community, and control restriction levels on different social interaction layers.

covid_genosensors_ML

home

My personal webpage (WIP)

keras-yolo3

Training and Detecting Objects with YOLO3

MLP-CN_dataset

A dataset of fully-connected neural networks trained on vision benchmarks. Data contains all their synapse states, i.e., from random initialization and throughout all training epochs. Complex Network measures are then computed to each of their hidden neurons.

PArewiring_weights

Weight Organization Matters: Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

RADAM

We propose a new method named Random encoding of Aggregated Deep Activation Maps (RADAM) for feature extraction from pre-trained Deep CNNs. The technique consists of encoding the output at different depths of the CNN using a Randomized Autoencoder, producing a single image descriptor

SSN

Code for Spatio-Spectral Networks (SSN), a method to compute color-texture descriptors from images

wastewater_vision

scabini/RADAM

We propose a new method named Random encoding of Aggregated Deep Activation Maps (RADAM) for feature extraction from pre-trained Deep CNNs. The technique consists of encoding the output at different depths of the CNN using a Randomized Autoencoder, producing a single image descriptor

scabini/MLP-CN_dataset

A dataset of fully-connected neural networks trained on vision benchmarks. Data contains all their synapse states, i.e., from random initialization and throughout all training epochs. Complex Network measures are then computed to each of their hidden neurons.

scabini/SSN

Code for Spatio-Spectral Networks (SSN), a method to compute color-texture descriptors from images

scabini/ADCN

Angular Descriptors of Complex Networks for Shape Analysis

scabini/PArewiring_weights

Weight Organization Matters: Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

scabini/wastewater_vision

scabini/COmplexVID-19

Simulate COVID-19 epidemic spreading with Complex Networks, given demographic data of a given community, and control restriction levels on different social interaction layers.

scabini/covid_genosensors_ML

scabini/home

My personal webpage (WIP)

scabini/keras-yolo3

Training and Detecting Objects with YOLO3

scabini/mechanosensors

Code for the Image processing and Machine Learning techniques employed for the mecanosensor recognition

scabini/mypy

Optional static typing for Python

scabini/stable-diffusion-evolved

A latent text-to-image diffusion model

scabini/test

initial/temporary placeholder for...