Gaetano Settembre

@gaetanosettembre

PhD in Computer Science and Math. Graduated in Computer Science and Data Science. Basketball referee.

University of Bari "Aldo Moro" Bari, IT

Followers

Following

Public Repos

Private Repos

Language Breakdown

Lines of code distribution across 11 owned repositories

486K Total LOC

Jupyter Notebook

136,584 lines

28.1%

N/A

HTML

132,669 lines

27.3%

N/A

CLIPS

101,834 lines

21.0%

N/A

Java

51,219 lines

10.5%

N/A

CSS

31,152 lines

6.4%

N/A

Other

32,089 lines

6.6%

N/A

M-Shaped Developer

M-shaped

Multi-specialist across Jupyter Notebook, HTML, CLIPS

Jupyter Notebook

HTML

CLIPS

Java

CSS

Collaboration Network

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0 active collaborators

Repos

PRs

Growth

+18%

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Coding Streak

Contribution activity over the past year

1 day

120

Contributions

117

Commits

Pull Requests

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Based on GitHub activity

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Followers 9

serena.debenedictis

@serenagdebenedictis

Maria Stella de Biase

@Ste-lla02

Ciro Russo

@cirorusso2910

IMPACT Workshop

@impact-workshop

Johon Li Tuobang 李拓邦

@johon-lituobang

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Following

13 total

Leonardo Cofone

@LeonardoCofone

fmerizzi

@fmerizzi

serena.debenedictis

@serenagdebenedictis

VeronicaButtaro98

@VeronicaButtaro98

MarcoCantone

@MarcoCantone

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Synced via GitHub

Top Repositories

BrainTumor_clf_TDA

This repository is the official code for the paper "Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition" by Serena Grazia De Benedictis, Grazia Gargano and Gaetano Settembre.

12 2

Python

data_unmixing

This repository is the official data source for the paper "Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods" by G. Settembre, F. Esposito, N. Del Buono

2 0

Turing-Machine-JFLAP

In this repository, you will find some Turing Machines created using JFlap

2 0

K-Means-clustering

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells. It is popular for cluster analysis in data mining. k-means clustering minimizes within-cluster variances (squared Euclidean distances), but not regular Euclidean distances, which would be the more difficult Weber problem: the mean optimizes squared errors, whereas only the geometric median minimizes Euclidean distances. For instance, Better Euclidean solutions can be found using k-medians and k-medoids.

1 0

Java

insight-icts4ehealth-2026

Repo of Special Session INSIGHT: INtelligent Systems for Imaging-based diaGnosis in HealThcare @ IEEE ICTS4eHealth 2026

0 0

HTML

hyperplast

This repository is the official code for the paper "Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features" by G. Settembre, G. Gargano and N. Del Buono. (KES 2025)

0 0

gaetanosettembre.github.io

The source code for the personal webpage page of this user

0 0

HTML

Movie-Recommender-System-on-Apache-Spark

This notebook summarizes results from a non-personalized and collaborative filtering recommender system implemented with Apache Spark MLlib

0 0

Jupyter Notebook

covidashit

COVID-19 Italy Pandemic and Vaccines Dashboard

0 0