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

[M60] Alessandro Taglieri (2022), Evaluating Continual Learning strategies for audio classification, Sapienza University of Rome.

[M59] Dilara Isikli (2022), Sentiment Analysis and Sentiment Transfer in the Financial Domain, Sapienza University of Rome / UniCredit S.p.A.. External advisors: Dr. Ilaria Bordino, Dr. Francesco Gullo, Dr. Lorenzo Severini.

[M58] Christian Giannetti (2022), An innovative architecture for time series processing: the Time Series Transformer, Sapienza University of Rome.

[M57] Emanuele Fratocchi (2022), The effectiveness of principal influencing factors and models on Customers Interactions, Satisfactions and Loyalty strategies, Sapienza University of Rome / Laser Romae Srl. External advisor: Emiliano Fedeli.

[M56] Sabriye Ela Esme (2022), Predicting Customer Churn Using Machine Learning Methodologies, Sapienza University of Rome / Toyota Turkey. External advisor: Dr. Engin Altinok.

[M55] Alessio Devoto (2022), Hybrid Siamese Neural Networks for object re-identification, Sapienza University of Rome.

[M54] Marco Colombi (2022), Automated License Plate Recognition using Deep Learning in a Real World Scenario, Sapienza University of Rome / Data Prestige s.r.l.. External advisor: Dr. Alessandro Fabiani.

[M53] Poompavai Chandraprakash (2022), Short-term water demand forecasting using traditional and deep learning models, Sapienza University of Rome / NTT DATA Italia. External advisor: Dr. Pietro Dicosta.

[M52] Lorenzo Ceccomancini (2022), Spatio-temporal graph neural networks for forecasting house prices, Sapienza University of Rome.

[M51] Marco Vannoli (2021), Deep Learning - Power BI - BIM: a pipeline for real-time IoT visual monitoring, Sapienza University of Rome / Blogic s.r.l.. External advisor: Dr. Alberto Tricarico.

[M50] Lucia Testa (2021), Understanding Parkinson Disease from Automatic Signature Analysis, Sapienza University of Rome. External advisor: Prof. Antonio Suppa.

[M49] Lev Telyatnikov (2021), Injecting and exploiting geometric structure in latent representations of 3D objects, Sapienza University of Rome / École Polytechnique. External advisor: Prof. Maks Ovsjanikov.

[M48] Gabriele Tazza (2021), Benchmarking novel deep learning models on a real-world cytopathology dataset, Sapienza University of Rome. External advisor: Enrico Giarnieri.

[M47] Flaminia Spasiano (2021), Adversarial Attacks and Defences for Infrared Deep Learning Systems, Sapienza University of Rome / Leonardo SpA. External advisor: Gabriele Gennaro.

[M46] Alice Schirinà (2021), Comparison between interpretability methods in machine learning, Sapienza University of Rome.

[M45] Daniele Sanna (2021), Electrical Time-Series Forecasting with Deep Learning Techniques, Sapienza University of Rome / Target Reply Roma. External advisor: Paolo Barboni.

[M44] Herson John Nolasco Ruiz (2021), Transferability of Adversarial Attacks and Defenses in Audio Classification, Sapienza University of Rome.

[M43] Dario Ruggeri (2021), Speech Emotion Recognition on Low Resource Languages with Transformer Models, Sapienza University of Rome.

[M42] 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.

[M41] Giorgio Zanini Quirini (2021), Quaternion neural networks for land cover semantic segmentation, Sapienza University of Rome / ISTAT. External advisor: Francesco Pugliese.

[M40] Reza Pourrahim (2021), X-Bot: Development of a Model and Data Agnostic Chatbot for Explaining the Decisions of Black Box Classifiers, Sapienza University of Rome / Knowledge Discovery and Data Mining Laboratory (KDD Lab). External advisor: Prof. Fosca Giannotti, Prof. Riccardo Guidotti.

[M39] Danilo Marzilli (2021), A Comparative Study of Quaternion Activation Functions in Deep Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M38] Simone Marretta (2021), Multi-task deep learning for satellite image segmentation, Sapienza University of Rome / Enel. External advisor: Fabrizio Chiovoloni.

[M37] Livia Lilli (2021), Calibrated Cytopathological Image Classification with Deep Neural Networks, Sapienza University of Rome. External advisor: Enrico Giarnieri.
Article  

[M36] Federico Gioia (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M35] Nana Teukam Yves Gaetan (2021), Language modelling for biocatalysed synthesis planning, Sapienza University of Rome / IBM Research. External advisor: Matteo Manica.

[M34] Stefano Fioravanti (2021), Multi-task Learning for Pedestrian Feature Detection, Sapienza University of Rome / Vistrociset Spa (a Leonardo Company). External advisor: Alessio Antenucci.

[M33] Dastagiri Dudekula (2021), Deep Graph Neural Networks For Social Recommendation Engines, Sapienza University of Rome.

[M32] Onur Copur (2021), Engagement Detection in e-learning Environments, Sapienza University of Rome / Barco NV. External advisor: Dr. Jürgen Slowack.
Article  

[M31] Francesco Carpineti (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M30] Francesco Caputo (2021), Real-time smoking behaviour detection on edge computing, Sapienza University of Rome / Smart-I. External advisor: Niccolò Cacciotti.

[M29] Edoardo Cantagallo (2021), Calibration and reliability of deep neural networks for predictive credit scoring, Sapienza University of Rome / DeepLab Srl. External advisor: Andrea Ambrosioni.

[M28] Giuliano Abruzzo (2021), Bib Identifier: a platform for classifying photos of sport events, Sapienza University of Rome / Advant Srl. External advisor: Viktoryia Kotava.

[M27] 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.

[M26] Federico Peconi (2020), Robustness of Deep Neural Networks with Trainable Activation Functions, Sapienza University of Rome.

[M25] Fabio Montello (2020), Automatic credit rating for SMEs using interpretable deep learning, Sapienza University of Rome / DeepLab Srl. External advisor: Andrea Ambrosioni.

[M24] Davide Manfredini (2020), Automatic Triage of Customer Claims using Deep Learning, Sapienza University of Rome / Enel Group. External advisor: Hugo Maldini.

[M23] Nguyen Phu Hien (2020), A system to detect fake news by leveraging document embedding, Sapienza University of Rome / Sourcesense. External advisor: Alberto Massidda.

[M22] Angelita Gabrieli (2020), Predictive log analysis with neural network models, Sapienza University of Rome.

[M21] Andrea Di Luca (2020), Emotion Recognition from Video using Partial Expressions and Deep Networks, Sapienza University of Rome.

[M20] Matteo Cavalletti (2020), Automatic costumer trouble ticket allocation using Behavioral Cloning, Sapienza University of Rome / TIM. External advisor: Paolo Di Bartolomeo.

[M19] Lorenzo Bartozzi (2020), Attention-based activation functions for deep networks, Sapienza University of Rome.

[M18] Riccardo Vecchi (2019), Compression Techniques for Deep Quaternion Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M17] Indro Spinelli (2019), Missing Data Imputation with Graph Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M16] 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.

[M15] Jary Pomponi (2019), Techniques for improving continual learning in deep networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M14] Eleonora Grassucci (2019), Generative Adversarial Networks with flexible activation functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M13] Michele Cirillo (2019), Stability and Generalization using Gaussian Kernel Activation Functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article  

[M12] Paolo Barcaro (2019), Quantizing kernel activation functions in neural networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M11] Mohamed Ahmed (2018), Missing Data Imputation using Graph Convolutional Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M10] Sibghat Ullah (2018), Convex Approximation Techniques for Recurrent Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M9] 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.

[M8] Elena Gagliardoni (2018), DeepChatbot : un chatbot sviluppato con Deep Learning, Università degli Studi di Perugia.

[M7] Ahmed Elsafy (2018), Automatic Speech Dialect Classification for Arabic Language, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M6] Claudio Mazzei (2016), Stacked Auto-Encoders per la classificazione di streaming audio, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M5] Alberto Marinelli (2016), Deep Neural Networks with Flexible Activation Function, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M4] Valentina Ciccarelli (2016), Tecniche per il mantenimento della privacy nel machine learning distribuito, Sapienza University of Rome. Main advisor: Prof. Massimo Panella.
Article  

[M3] Gianluca Calabria (2016), Separazione di sorgenti monocanale mediante Deep Recurrent Neural networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M2] Marco Biaggi (2016), Reti Neurali per la classificazione delle pagine web, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.

[M1] Roberto Fierimonte (2015), Distributed Learning by Neural Networks, Sapienza University of Rome. Main advisor: Prof. Massimo Panella.
Article  

Bachelor’s theses

[B3] 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  

[B1] Beatrice De Santis (2015), Reti Neurali Ricorrenti per la generazione del testo, Sapienza University of Rome.