zuliani99

All-Pairs-Docs-Similarity

Given a set of documents and the minimum required similarity threshold find the number of document pairs that exceed the threshold

AutoML-Benchmark

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

CBERTdp

CBERTdp is a strategy to speed up the clssification task by clustering BERT embeddings using different methods in order to use K-Means and the Dot-Product to obtaint the prediction results

deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

Fire_Incident_Dispatch_Data_Analysis

This project has the aim to analise and study some behavoiur under the Fire Incident Dispatch Dataset

ManifoldLearning-GraphKernels

Analysis of Weisfeiler-Lehman Kernel using Isomap and Local Linear Embedded manifold learning technique among PPI and SHOCK datasets

MWM_Auction_Comparison

Project based on the comparison of the Auction Algorithm and the Maximum Weighted Maching from Boost Library C++

Silhouette_Based_Space_Carving

The goal of this project is to implement technique known as “space carving" to reconstruct the shape of a 3D object from multiple photographs taken at known but arbitrarily distributed viewpoints

UniVe-CS-Master-Degree-AfterNotes

Repository where I share all my notes regarding the CS Master Degree of Ca' Foscari University of Venice

VideoClassification-CNN

Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks

zuliani99/AutoML-Benchmark

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

zuliani99/UniVe-CS-Master-Degree-AfterNotes

Repository where I share all my notes regarding the CS Master Degree of Ca' Foscari University of Venice

zuliani99/VideoClassification-CNN

Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks

zuliani99/MWM_Auction_Comparison

Project based on the comparison of the Auction Algorithm and the Maximum Weighted Maching from Boost Library C++

zuliani99/ManifoldLearning-GraphKernels

Analysis of Weisfeiler-Lehman Kernel using Isomap and Local Linear Embedded manifold learning technique among PPI and SHOCK datasets

zuliani99/All-Pairs-Docs-Similarity

Given a set of documents and the minimum required similarity threshold find the number of document pairs that exceed the threshold

zuliani99/CBERTdp

CBERTdp is a strategy to speed up the clssification task by clustering BERT embeddings using different methods in order to use K-Means and the Dot-Product to obtaint the prediction results

zuliani99/deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

zuliani99/Fire_Incident_Dispatch_Data_Analysis

This project has the aim to analise and study some behavoiur under the Fire Incident Dispatch Dataset

zuliani99/NLP_assignments

Repository where I share the assignments for the Deep Learning for NLP course of the CS Master Degree of Ca'Foscari University of Venice

zuliani99/PageRank_HITS_InDegree_Comparison

The aim of this project is to compare the prestige computation of a given pages graph using an implementation of PageRank, HITS and InDegree

zuliani99/ProgettoDB

zuliani99/Silhouette_Based_Space_Carving

The goal of this project is to implement technique known as “space carving" to reconstruct the shape of a 3D object from multiple photographs taken at known but arbitrarily distributed viewpoints

zuliani99/Spam-Filter

Analysis and Predction of the Spambase Dataset by Support Vector Machine, Naive Bayes and K-Nearest Neighbors

zuliani99/Sparse-Dense_Retrieval

Retrieve the top-𝑘 documents with respect to a given query by maximal inner product over dense and sparse vectors

zuliani99/Sudoku-Solver

Analysis of the Sudoku Game using Constraint Propagation with Back Tracking and Relaxation Labelling

zuliani99/Undirected_Graphs_Triangle_Counter

Comparison between the sequential and parallel version of the Graph Triangle Counter problem

zuliani99/zuliani99