daniele-atzeni

2d_bin_packing_MILP

Project of Model-Driven Decision-Making Methods. The project is a minimization problem using mixed-integer linear programming. More info in final_report.pdf

A-Systematic-Review-of-Wi-Fi-and-Machine-Learning-Integration-with-Topic-Modeling-Techniques

CGMM.pytorch_geometric

Project of Intelligent Systems for Pattern Recognition exam. Implementation of Contextual Graph Markov Model for pytorch geometric.

CL_for_timeseries

data_compression_exam

data_mining_I

First Data Mining exam project. The goal is to extract information from personal data of a workers. Each worker also has a binary label that is 1 if the worker has left the company.

data_mining_II

Second part of Data Mining exam. The project is split in two parts, one about time series, the other about outlier detection.

distributed_data_analysis

Project for Distributed Data Analysis and Mining exam. The goal is to analyze Twitter data with geographical information using pySpark

GAS-Norm-gluonTS

Machine-Learning-project

Project of Machine Learning exam. The goal is to create our neural network from scratch, i.e., using matrices and implementing back-prop, and test it on a dataset.

daniele-atzeni/A-Systematic-Review-of-Wi-Fi-and-Machine-Learning-Integration-with-Topic-Modeling-Techniques

daniele-atzeni/2d_bin_packing_MILP

Project of Model-Driven Decision-Making Methods. The project is a minimization problem using mixed-integer linear programming. More info in final_report.pdf

daniele-atzeni/CGMM.pytorch_geometric

Project of Intelligent Systems for Pattern Recognition exam. Implementation of Contextual Graph Markov Model for pytorch geometric.

daniele-atzeni/CL_for_timeseries

daniele-atzeni/data_compression_exam

daniele-atzeni/data_mining_I

First Data Mining exam project. The goal is to extract information from personal data of a workers. Each worker also has a binary label that is 1 if the worker has left the company.

daniele-atzeni/data_mining_II

Second part of Data Mining exam. The project is split in two parts, one about time series, the other about outlier detection.

daniele-atzeni/distributed_data_analysis

Project for Distributed Data Analysis and Mining exam. The goal is to analyze Twitter data with geographical information using pySpark

daniele-atzeni/GAS-Norm-gluonTS

daniele-atzeni/Machine-Learning-project

Project of Machine Learning exam. The goal is to create our neural network from scratch, i.e., using matrices and implementing back-prop, and test it on a dataset.

daniele-atzeni/MIT-UNIPI_wifi_sniffer

daniele-atzeni/tensorflow_compressed_dense

daniele-atzeni/visiting_bcn