Theses Archive

Theses archive

In this page you will find an up-to-date list of theses which I had the pleasure of supervising/co-supervising. Some of the theses are in Italian. If the thesis was later published, you will find the link to the article below.

Master’s theses

[M1] Giuliano Abruzzo (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M2] Alice Schirinà (2021), Comparison between interpretability methods in machine learning, Sapienza University of Rome.

[M3] Daniele Sanna (2021), Electrical Time-Series Forecasting with Deep Learning Techniques, Sapienza University of Rome / Target Reply Roma. External advisor: Paolo Barboni.

[M4] Pol Ribó Leon (2021), Text Extraction with POS-Tagging and Word Embeddings for support tickets automation, Sapienza University of Rome / Sourcesense. External advisor: Alberto Massidda.

[M5] Giorgio Zanini Quirini (2021), Quaternion neural networks for land cover semantic segmentation, Sapienza University of Rome / ISTAT. External advisor: Francesco Pugliese.

[M6] Danilo Marzilli (2021), A Comparative Study of Quaternion Activation Functions in Deep Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M7] Livia Lilli (2021), Calibrated Cytopathological Image Classification with Deep Neural Networks, Sapienza University of Rome. External advisor: Enrico Giarnieri.

[M8] Federico Gioia (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M9] Stefano Fioravanti (2021), Multi-task Learning for Pedestrian Feature Detection, Sapienza University of Rome / Vistrociset Spa (a Leonardo Company). External advisor: Alessio Antenucci.

[M10] Dastagiri Dudekula (2021), Deep Graph Neural Networks For Social Recommendation Engines, Sapienza University of Rome.

[M11] Francesco Carpineti (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M12] Edoardo Cantagallo (2021), Calibration and reliability of deep neural networks for predictive credit scoring, Sapienza University of Rome / DeepLab Srl. External advisor: Andrea Ambrosioni.

[M13] Andrea Di Luca (2020), Emotion Recognition from Video using Partial Expressions and Deep Networks, Sapienza University of Rome.

[M14] Sandeep Reddy Sabbella (2020), Fire and Smoke Detection for Smart Cities Using Deep Neural Networks and Edge Computing on Embedded Sensors, Sapienza University of Rome / Smart-Interaction. External advisor: Dr. Giovanni Trovini.

[M15] Federico Peconi (2020), Robustness of Deep Neural Networks with Trainable Activation Functions, Sapienza University of Rome.

[M16] Fabio Montello (2020), Automatic credit rating for SMEs using interpretable deep learning, Sapienza University of Rome / DeepLab Srl. External advisor: Andrea Ambrosioni.

[M17] Davide Manfredini (2020), Automatic Triage of Customer Claims using Deep Learning, Sapienza University of Rome / Enel Group. External advisor: Hugo Maldini.

[M18] Nguyen Phu Hien (2020), A system to detect fake news by leveraging document embedding, Sapienza University of Rome / Sourcesense. External advisor: Alberto Massidda.

[M19] Angelita Gabrieli (2020), Predictive log analysis with neural network models, Sapienza University of Rome.

[M20] Lorenzo Bartozzi (2020), Attention-based activation functions for deep networks, Sapienza University of Rome.

[M21] Matteo Cavalletti (2020), Automatic costumer trouble ticket allocation using Behavioral Cloning, Sapienza University of Rome / TIM. External advisor: Paolo Di Bartolomeo.

[M22] Paolo Barcaro (2019), Quantizing kernel activation functions in neural networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M23] Riccardo Vecchi (2019), Compression Techniques for Deep Quaternion Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M24] Indro Spinelli (2019), Missing Data Imputation with Graph Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M25] Roberto Rovella (2019), Intrinsically motivated exploration algorithm for an open-ended learning agent, Sapienza University of Rome / Institute of Cognitive Sciences and Technologies (ISTC). Co-advisor: Dr. Emilio Cartoni.

[M26] Jary Pomponi (2019), Techniques for improving continual learning in deep networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M27] Eleonora Grassucci (2019), Generative Adversarial Networks with flexible activation functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M28] Michele Cirillo (2019), Stability and Generalization using Gaussian Kernel Activation Functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M29] Elena Gagliardoni (2018), DeepChatbot : un chatbot sviluppato con Deep Learning, Università degli Studi di Perugia.

[M30] Sibghat Ullah (2018), Convex Approximation Techniques for Recurrent Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M31] Ahmad Irjoob (2018), Manifold regularization for semi-supervised learning on relational and graphical databases, Sapienza University of Rome. Company advisors: Gabriele Nocco, Marco Mele. Main advisor: Prof. Aurelio Uncini.

[M32] Ahmed Elsafy (2018), Automatic Speech Dialect Classification for Arabic Language, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M33] Mohamed Ahmed (2018), Missing Data Imputation using Graph Convolutional Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M34] Marco Biaggi (2016), Reti Neurali per la classificazione delle pagine web, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M35] Claudio Mazzei (2016), Stacked Auto-Encoders per la classificazione di streaming audio, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M36] Alberto Marinelli (2016), Deep Neural Networks with Flexible Activation Function, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M37] Valentina Ciccarelli (2016), Tecniche per il mantenimento della privacy nel machine learning distribuito, Sapienza University of Rome. Main advisor: Prof. Massimo Panella.
Article  

[M38] Gianluca Calabria (2016), Separazione di sorgenti monocanale mediante Deep Recurrent Neural networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M39] Roberto Fierimonte (2015), Distributed Learning by Neural Networks, Sapienza University of Rome. Main advisor: Prof. Massimo Panella.
Article  

Bachelor’s theses

[B1] Miquel Tubau Pires (2017), Study and implementation of manifold regularization techniques in neural networks, Universitat Politècnica de Catalunya.

[B2] Lucas Stoffl (2016), Recurrent Neural Networks for Spoofing Detection, Technische Universität München.
Article  

[B3] Beatrice De Santis (2015), Reti Neurali Ricorrenti per la generazione del testo, Sapienza University of Rome.