Pinned Repositories
BNN_Human_motion
Bayesian NN for Human Motion Forecasting
DEPM
Differential Analyses of Gene Expression in KIRP
Differential_Privacy_and_MISE
Differential privacy and MISE application on a syntethic dataset.
Getting-to-know-your-customers
Finding similar costumers, using LSH and others methods, of a bank.
GNN-mri-tumor-prediction
Instagram-users-and-their-behaviour
Statistical analysis performed on Instagram data.
Modulation_Classifier
Design and train a ML classifier, capable of recognizing the modulation used in a wireless transmission from In-phase and Quadrature samples of a received signal. The system is trained to identify four different modulations: AM-DSB, BPSK, GFSK, QPSK
money-tracker
Places-of-the-world
Web scraping of Atlas Obscura website plus the creation of an ad hoc search engine.
The-Marvel-Universe-
Network analysis of the Marvel world.
Prot10's Repositories
Prot10/BNN_Human_motion
Bayesian NN for Human Motion Forecasting
Prot10/The-Marvel-Universe-
Network analysis of the Marvel world.
Prot10/DEPM
Differential Analyses of Gene Expression in KIRP
Prot10/Differential_Privacy_and_MISE
Differential privacy and MISE application on a syntethic dataset.
Prot10/Getting-to-know-your-customers
Finding similar costumers, using LSH and others methods, of a bank.
Prot10/GNN-mri-tumor-prediction
Prot10/Instagram-users-and-their-behaviour
Statistical analysis performed on Instagram data.
Prot10/Modulation_Classifier
Design and train a ML classifier, capable of recognizing the modulation used in a wireless transmission from In-phase and Quadrature samples of a received signal. The system is trained to identify four different modulations: AM-DSB, BPSK, GFSK, QPSK
Prot10/Places-of-the-world
Web scraping of Atlas Obscura website plus the creation of an ad hoc search engine.
Prot10/Prot10
Prot10/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Prot10/ROIs_Correlations_in_MRI_ASD_TD
Analysis of the correlation (normal and partial) combined with the Z-transform + Bonferroni correction to study the differences in the activation of the ROIs of Normal vs Autistic patients.