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adm-2018

Here you find the homeworks of ADM class of the MSc in Data Science @ La Sapienza University

adm-group13-hw5

Here you find the homework 5 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

adm-group26-hw4

Here you find the homework 4 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

adm-group27-hw3

Here you find the homework 3 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

adm-group6-hw2

Here you find the homework 2 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

dmt-hw1

mri-imaging-classification-via-concatenated-neural-network-architectures-and-distributed-stochastic-

Reference Papers: "A framework for parallel and distributed training of neural networks", Simone Scardapane and Paolo Di Lorenzo , NEURAL NETWORK 91 (2017) "Stochastic Training of Neural Networks via Successive Convex Approximations", Simone Scardapane and Paolo di Lorenzo, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018) "Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation", Paolo Di Lorenzo and Simone Scardapane, ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (2019)

sds-hw1

Here you find the homework 1 of Statistical Methods in Data Science class of the MSc in Data Science @ La Sapienza University, Rome

sds-hw2

Here you find the homework 2 of Statistical Methods in Data Science class of the MSc in Data Science @ La Sapienza University, Rome

sds-hw3

sds2-project

simplicial-attention-networks

sl_project

sps_project

In this paper we propose a Sentiment Analysis application to investigate and compare classical unsupervised and supervised ML techniques with Dirichlet Process Mixtures and Mixtures of finite Mixtures procedures.

tangent-bundle-neural-networks

Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"

topological-slepians

Codes for the Numerical Results of the paper "Topological Slepians: maximally localized representations of signals over simplicial complexes"