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
[M102] Alessandro Caioli (2024), Identification of disease gene associations using heterogeneous graph learning on domain knowledge graphs, Sapienza University of Rome.
[M101] Stephanie Tahtouh (2024), Efficient Vision Transformers for Weed Classification in the Parco Archeologico del Colosseo, Sapienza University of Rome. Co-advisor: Gaetano Saurio.
[M100] Alessandro Sottile (2024), Point cloud transformers for 3D fragment matching, Sapienza University of Rome. Co-advisor: Alessandro Baiocchi.
[M99] Luca Romani (2024), Toward Intelligent User Interaction Forecasting in HCL Workload Automation: A Sequence Modeling Approach, Sapienza University of Rome / HCLTech. Co-advisor: Lorenzo Nichele.
[M98] Mario Napoli (2024), Optimizing Speech Recognition by Dynamically Selecting and Masking Superfluous Tokens, Sapienza University of Rome. Co-advisor: Alessio Devoto.
[M97] Martina Milazzo (2024), Explainable Artificial Intelligence for Functional Magnetic Resonance Imaging (fMRI) data, Sapienza University of Rome / CentAI. Co-advisor: Alan Perotti, Alessio Borriero.
[M96] Andrea Giordano (2024), Optimizing Bonus Allocation: an Approach based on Deep Learning, Sapienza University of Rome / Lottomatica. Co-advisor: Simone Coccia.
[M95] Giulio Corsetti (2024), Predictive Maintenance in Real Estate Business: a machine learning approach for sensor's Time series forecasting, Sapienza University of Rome / eFM. Co-advisor: Matteo Masina.
[M94] Francesco Verdini (2023), Deep Learning in Physics: Improved Gradient Updates, Sapienza University of Rome / Technical University of Munich. Co-advisor: Prof. Nils Thuerey, Patrick Schnell.
[M93] Domenico Spoto (2023), Deep neural network for anomaly detection of network intrusion, Sapienza University of Rome / Poste Italiane SpA. Co-advisors: Dr. Nicola Sotira, Dr. Michela Cristiani, Dr. Alessio Verdone.
[M92] Tansel Simsek (2023), Parkinson’s Disease Classification from Handwritten Signatures, Sapienza University of Rome. External advisor: Prof. Antonio Suppa.
[M91] Gaurav Mohan Ramse (2023), Text to Speech for Hindi Language using Deep Learning, Sapienza University of Rome.
[M90] Andrea Potì (2023), Unlocking Patterns in Hyperspectral Data: A Self-Supervised Learning Approach, Sapienza University of Rome / Leonardo Labs. Co-advisors: Dr. Alessandro Nicolosi.
[M89] Andrea Morelli (2023), Novel routing methods for mixture-of-experts neural networks, Sapienza University of Rome. Co-advisor: Alessio Devoto.
[M88] Marco Montagna (2023), Graph Pooling with Dynamic Node Selection, Sapienza University of Rome.
[M87] Hamna Moieez (2023), Continual Self Supervised Learning in Remote Sensing with Embedding Regularization, Sapienza University of Rome. Co-advisor: Valerio Marsocci.
Article
[M86] Laura Minicucci (2023), An AI Simulator for Electrification Scenarios, Sapienza University of Rome / Poste Italiane SpA. Co-advisors: Dr. Alessndro Buzzelli, Dr. Alessio Verdone.
[M85] Leandro Maglianella (2023), A convergent and explainable machine learning framework for pattern recognition in the ATLAS experiment, Sapienza University of Rome. Main advisor: Prof. Christian Napoli, co-advisor: Prof. Stefano Giagu.
Article
[M84] Giulia Luciani (2023), Exploring Data-to-Text in an Enterprise Intelligent Assistant: Leveraging Prompt Engineering Techniques and Large Language Models, Sapienza University of Rome / Whitehall Reply. Co-advisors: Dr. Agostino Reddel.
[M83] Giorgia Fontana (2023), Optimizing Passenger Flow at Fiumicino and Ciampino Airports: A Predictive Modeling Approach, Sapienza University of Rome / Target Reply. Co-advisors: Dr. Paolo Barboni.
[M82] Marco Di Ciò (2023), Deep Learning and Classical Machine Learning on Tabular Datasets, Sapienza University of Rome.
[M81] Mario Dhimitri (2023), Failure prediction using Predictive Maintenance in Industrial Assets, Sapienza University of Rome / Data Prestige Srls. Co-advisor: Dr. Alessandro Fabiani.
[M80] Mousaalreza Dastmard (2023), Enhancing Italian speech recognition performance using language models, Sapienza University of Rome.
[M79] Gianmarco D'Alessandro (2023), Parameterized Counterfactual Explanations for Node Classification in Graph Neural Networks, Sapienza University of Rome. Co-advisor: Prof. Fabrizio Silvestri.
[M78] Riccardo Contu (2023), Urban 3D Change Detection with Deep Learning: innovative Data Augmentation techniques, Sapienza University of Rome. Main advisor: Mattia Crespi, co-advisors: Valerio Marsocci, Virginia Coletta, Roberta Ravanelli.
[M77] Tommaso Controni (2023), Improving training of neural networks with adaptive restarts, Sapienza University of Rome. Co-advisor: Dr. Jary Pomponi.
[M76] Benedetta Candelori (2023), Transformer-Based Methods to Analyze Single Neuron Activity during Cognitive Functions, Sapienza University of Rome. Co-advisors: Dr. Giampiero Bardella, Dr. Indro Spinelli.
[M75] Davide Cacciatore (2023), Predicting the trend of electric consumption and production for the next years, Sapienza University of Rome / Enel SpA. Co-advisors: Dr. Alessandro Buzzelli.
[M74] Irene Aguanno (2023), Learning with noisy labels, Sapienza University of Rome / Enel SpA. Co-advisor: Dr. Alberto Marinelli.
[M73] Antonio Zappia (2022), Vertical soil moisture profile estimation with machine learning and deep learning approaches for precision agriculture, Sapienza University of Rome / Target Reply Roma. External advisor: Paolo Barboni.
[M72] Gianmarco Ursini (2022), Generating handwritten text images with GANs for data augmentation, Sapienza University of Rome / ENEL. External advisors: Pierfrancesco Veltri.
[M71] Alessandro Taglieri (2022), Evaluating Continual Learning strategies for audio classification, Sapienza University of Rome.
[M70] Diego Sonaglia (2022), Exploring Question Answering over Knowledge Graphs with XAI techniques, Sapienza University of Rome.
[M69] Amirhossein Rajabi Shizari (2022), Quaternion valued graph convolutional network, Sapienza University of Rome.
[M68] Lorenzo Nicoletti (2022), Explainable AI for interpretable Deep Learning mod- els in a High-Energy Physics use-case with efficient muonic particles pattern recognition, Sapienza University of Rome. Main advisor: Prof. Christian Napoli, co-advisor: Prof. Stefano Giagu.
Article
[M67] 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.
[M66] Christian Giannetti (2022), An innovative architecture for time series processing: the Time Series Transformer, Sapienza University of Rome.
[M65] 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.
[M64] Arya Farkhondeh (2022), Towards Self-Supervised Gaze Estimation, Sapienza University of Rome / Universitat de Barcelona. External advisors: Sergio Escalera, Cristina Palmero.
Article
[M63] Sabriye Ela Esme (2022), Predicting Customer Churn Using Machine Learning Methodologies, Sapienza University of Rome / Toyota Turkey. External advisor: Dr. Engin Altinok.
[M62] Simone Ercolino (2022), Monocular Depth Estimation of Aerial Images with Transformer models, Sapienza University of Rome / Leonardo Electronics. External advisors: Dr. Luca Monorchio, Dr. Matteo Santini.
Article
[M61] Matteo Di Mauro (2022), Facial Expression Recognition On Videos, Sapienza University of Rome / Engineering SpA. External advisors: Dr. Marco Breda, Dr. Felice Tuosto, Dr. Matteo Uriselli.
[M60] Alessio Devoto (2022), Hybrid Siamese Neural Networks for object re-identification, Sapienza University of Rome.
Article
[M59] Artur Back de Luca (2022), Exploring the connections between Domain Generalization and Federated Learning, Sapienza University of Rome / Huawei. External advisor: Prof. Guojun Zhang.
[M58] Daniele Dantoni (2022), Robustness of Deep Neural Networks against a Novel Adversarial Attack in the RGB and Infrared Domain, Sapienza University of Rome / Leonardo Labs. External advisors: Jary Pomponi, Alessandro Nicolosi.
Article
[M57] 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.
[M56] 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.
[M55] Lorenzo Ceccomancini (2022), Spatio-temporal graph neural networks for forecasting house prices, Sapienza University of Rome.
[M54] Matteo Campana (2022), Semantic Segmentation for Remote Sensing Images, Sapienza University of Rome. Co-advisor: Dr. Valerio Marsocci, Prof. Aurelio Uncini.
[M53] Riccardo Bianchini (2022), Learning to Drop Edges for Improving Fairness, Sapienza University of Rome. Co-advisor: Dr. Indro Spinelli.
Article
[M52] Tran Luong Bang (2022), A benchmarking of object detection models for Urothelial Cancer cell detection, Sapienza University of Rome. External advisor: Enrico Giarnieri.
[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.
Article
[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.
Article
[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] Paolo Barcaro (2019), Quantizing kernel activation functions in neural networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M17] Riccardo Vecchi (2019), Compression Techniques for Deep Quaternion Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article
[M16] Indro Spinelli (2019), Missing Data Imputation with Graph Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article
[M15] 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.
[M14] Jary Pomponi (2019), Techniques for improving continual learning in deep networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article
[M13] Eleonora Grassucci (2019), Generative Adversarial Networks with flexible activation functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article
[M12] Michele Cirillo (2019), Stability and Generalization using Gaussian Kernel Activation Functions, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
Article
[M11] Sibghat Ullah (2018), Convex Approximation Techniques for Recurrent Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M10] 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.
[M9] Elena Gagliardoni (2018), DeepChatbot : un chatbot sviluppato con Deep Learning, Università degli Studi di Perugia.
[M8] Ahmed Elsafy (2018), Automatic Speech Dialect Classification for Arabic Language, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M7] Mohamed Ahmed (2018), Missing Data Imputation using Graph Convolutional Neural Networks, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M6] Marco Biaggi (2016), Reti Neurali per la classificazione delle pagine web, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M5] Claudio Mazzei (2016), Stacked Auto-Encoders per la classificazione di streaming audio, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M4] Alberto Marinelli (2016), Deep Neural Networks with Flexible Activation Function, Sapienza University of Rome. Main advisor: Prof. Aurelio Uncini.
[M3] Valentina Ciccarelli (2016), Tecniche per il mantenimento della privacy nel machine learning distribuito, Sapienza University of Rome. Main advisor: Prof. Massimo Panella.
Article
[M2] Gianluca Calabria (2016), Separazione di sorgenti monocanale mediante Deep Recurrent Neural networks, 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.