{"id":819,"date":"2020-01-21T23:09:02","date_gmt":"2020-01-21T22:09:02","guid":{"rendered":"http:\/\/pages.di.unipi.it\/bacciu\/?page_id=819"},"modified":"2025-04-07T13:06:25","modified_gmt":"2025-04-07T12:06:25","slug":"b-sc-and-m-sc-theses","status":"publish","type":"page","link":"https:\/\/pages.di.unipi.it\/bacciu\/supervision\/b-sc-and-m-sc-theses\/","title":{"rendered":"Undergraduate Theses"},"content":{"rendered":"\n<p>Here follows a list of final projects that I have supervised for the B.Sc and M.Sc. in Computer Science, Mathematics, Physics and Robotics Engineering at Universit\u00e0 di Pisa. Contact me if you are interested in a thesis, for up-to-date information on the available topics. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">In progress<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>In progress,<\/em> Marco Lavorini <em>(<em>co-supervision by G. Bigi)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Lorenzo Pileggi <em>(<em>co-supervision by L. Fredianelli, IPCF-CNR)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Nicola Pitzalis <em>(<em>co-supervision by A. Cossu)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Giacomo Aru <em>(<em>co-supervision by E. Piccoli)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Fabrizio De Castelli <em>(<em>co-supervision by A. Gravina)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Giovanni Sorice <em>(<em>co-supervision by A. Gravina)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Gaetano Nicassio <em>(<em>co-supervision by A. Ceni)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Danilo Frailis <em>(<em>co-supervision by A. Cossu)<\/em><\/em>, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Matthew Bernardi <em>(<em>co-supervision by A. Ceni,  A. Cossu)<\/em><\/em>, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Gerlando Gramaglia <em>(<em>co-supervision by H. Neto, PUC Minas)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Alessandro Sardelli <em>(<em>at Binoocle)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Andrea Puccioni <em>(<em>at Visual Engines)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li>Few-Shot Boundary-Constrained Vector Floorplan Generation via Conditional Diffusion Model (<em>In progress), <\/em>Leonardo Stoppani (<em>at H&amp;M AI Research)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>Exploring Multimodal Emotion Recognition on Social Media Content<\/em> (<em>In progress), <\/em>Davide Amadei (<em>co-supervision by L. Passaro)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>Behaviour Characterization via Policy Supervectors in Multi-Task Reinforcement Learning<\/em> (<em>In progress), <\/em>Marco Petix (<em>co-supervision by E. Piccoli)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2024\/2025<\/li>\n\n\n\n<li><em>In progress,<\/em> Jacopo Mendoza Betances (co-supervision by F. Lupi, BK s.r.l.), Laurea in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>In progress <em>(co-supervision by L. Passaro)<\/em>, <\/em>Jessika Sartori (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Completed<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Impact of Pre-trained Representations in Machine Learning-Based Protein-Ligand Docking, <\/em>Andrea Roncoli (<em>at Columbia University)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Lifelong Evolutionary Swarms (co-supervision by A. Cossu), <\/em>Lorenzo Leuzzi, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Evaluating Automatic Speech Recognition Performance on Non-Native Italian Speech, <\/em>Annachiara Aiello (<em>at Radboud University)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Dynamic Graph Neural Networks for Financial Forecasting, <\/em>Domenico Tupputi, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Multivariate Time Series Generation with Autoregressive Graph Neural Networks,<\/em> Paul Magos (<em>co-supervision by L. Simone)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Similarity-based policy transfer for Multi-Task Reinforcement Learning, <\/em>Alessandro Capurso (<em>co-supervision by E. Piccoli)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Real-time and personalized product recommendations for large e-commerce platforms,<\/em> Matteo Tolloso (<em>at H&amp;M AI research)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Capturing spatiotemporal long-range dependencies in dynamic graphs,<\/em> Filippo Biondi (<em>co-supervised by A. Gravina)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Implicit Chemical Property Optimization with Graph Energy Based Models, <\/em>Luca Miglior (<em>co-supervised by L. Simone, M. Podda)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li>Physics-informed deep graph learning. PINNS for a Reynolds-averaged Navier-Stokes surragate solver<em>,<\/em> Marcello Ceresini <em>(at Dallara, <em>co-supervision by D. Numeroso,  M. Gabrielli, Universit\u00e0 di Bologna)<\/em><\/em>, Laurea Magistrale in Artificial Intelligence, Universit\u00e0 di Bologna, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Implementazione di un sistema RAG per LLM, <\/em>Matteo Acampora (<em>at 3Logic<\/em>), Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li>Understanding and Modelling The Impact of AI Frameworks on the Message Passing Interface (MPI) and the Omni-Path Express (OPX) Jonathan Ato Markin (<em>co-supervision by P. Dazzi<\/em>),  Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Adaptively combining skill embeddings for Reinforcement Learning agents, <\/em>Giacomo Carf\u00ec (<em>co-supervision by E. Piccoli)<\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Hamiltonian Architectural Bias in Graph Neural Networks,<\/em> Simon Heilig, visiting final M.Sc. project from Friedrich-Alexander University, Erlangen, 2024<\/li>\n\n\n\n<li><em>Counterfactual Reasoning and Learning in Causal Abstraction,<\/em> Yijiang Fan<em> (<em>co-supervision by R. Massidda<\/em>)<\/em>, Laurea Magistrale in Data Science &amp; Business Informatics, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Reinforcement Learning per la composizione di politiche di ricerca, <\/em>Alessandro Guerriero (<em>co-supervision by E. Piccoli<\/em>), Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>CLRS Torch &#8211; Una versione del CLRS Algorithmic Reasoning Benchmark scritta in PyTorch, <\/em>Samuele Boldrini (<em>co-supervision by D. Numeroso<\/em>), Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Advanced image defect recognition, <\/em>Antonio Calabrese (<em>at Vitesco)<\/em>, Laurea Magistrale in Data Science, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Unveiling the Memory vs. Nonlinearity trade-off with Masked Intrinsic Plasticity,<\/em> Sergio Latrofa <em>(<em>co-supervision by A. Ceni, A. Cossu, C. Gallicchio)<\/em><\/em>, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Quantized Convolutional Neural Networks for Real-Time Vehicle Tracking, <\/em>Domenico Profumo (<em>co-supervision by G. Licitra (ARPAT)<\/em>), Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Continual Learning For Industry 4.0 &#8211; Enhancing Automation With Sustainable Deep Learning <em>(co-supervision by V. Lomonaco)<\/em>, <\/em>Stefano Pacchini, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Weather data in fluid dynamics computations and wind forecasting by graph neural network, <\/em>Andrea Giorgione (<em>at IRE slr<\/em>), Laurea Magistrale in Fisica, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>A Critical Analysis of Human Pose Estimation Benchmarks,<\/em> Sharath Yanamandra <em><em>(co-supervision with V. Romolini, Visual Engines<\/em>)<\/em>, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Benchmarking automatic prompt learning methods in the Italian language, <\/em>Gioele Bertoncini <em>(co-supervision by L. Passaro)<\/em>, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2023\/2024<\/li>\n\n\n\n<li><em>Efficient 6D Object Pose Estimation using Teacher-Assistant Knowledge Distillation on Compressed Student, <\/em>Matteo Barato (<em>at The Edge Company<\/em>), Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>SVARCOSMO: Efficient Continuous Causal Discovery from Time-Series (<em>co-supervision by R. Massidda<\/em>), <\/em>Filippo Michelis, Laurea Magistrale in Data Science &amp; Business Informatics, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Classifier-free diffusion process for conditional graph generation (<em>co-supervision by M. Podda<\/em>), <\/em>Matteo Ninniri, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Continual Learning for Non-Autoregressive Neural Machine Translation (co-supervision by M. Resta), <\/em>Alessandro Ristori, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>IA in prototipo audio-protesico a basso costo, <\/em>Amelia Sava (<em>co-supervision by M. Righi (ISTI-CNR))<\/em>, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Bayesian Networks for Cardinality Estimation in Relational Databases (at Oracle Labs Zurich), <\/em>Federico Lusiani, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Monitoraggio della guida di motocicli per mezzo di un sistema di visione multicamera con tecniche di fusione delle informazioni e loro rappresentazione virtuale per mezzo di un motore grafico 3D (<em>co-supervision by M. Righi (ISTI-CNR)<\/em><\/em>,<em> <\/em>Anthony Baimonte, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Exploring the lifelong feature transferability in a continual neural machine translation scenario<\/em> <em><em>(co-supervision by M. Resta)<\/em>, <\/em>Niko Dalla Noce, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Assessing automated lane keeping from an AI safety perspective<em> (co-supervision with G. Macher<\/em>,<em> TUG<\/em>)<em>,<\/em> <\/em>Luca de Martino (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Leveraging Physical Cues for Learned Representations in Visual Question Answering (co-supervision by A. Valenti), <\/em>Matteo Massetti, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Assessing biomedical LM under multi-lingual and privacy preserving scenarios<\/em>,<em> <\/em>Pier-Paolo Tarasco (<em>co-supervision by S\u00e9bastien Brati\u00e8res (Translated.com)<\/em>), Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Reinforcement Learning for Conformal Field Theories<\/em> <em>(co-supervision by A. Cossu (SNS) and P. Ferrero (Stony Brook University)), <\/em>Alessandro Trenta, Laurea Magistrale in Matematica, Universit\u00e0 di Pisa, A.A. 2022\/2023<\/li>\n\n\n\n<li><em>Automatic Music Transcription using convolutional neural network (CNN) and constant-Q transform (CQT)<\/em> (co-supervision by T. Cucinotta (Scuola Superiore Sant&#8217;Anna), Yoannis Telila,  Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Face Attractiveness Enhancement with Identity Preservation (at Bending Spoons), <\/em>Nicola Gugole, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Deep Reinforcement Learning for Network Slice Placement<\/em> <em>(co-supervision by V. Lomonaco and F. Paganelli), <\/em>Alex Pasquali, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Legal Text Classification by Graph Neural Networks and Knowledge Distillation (co-supervision by Lorenzo De Mattei (AptusAI)), <\/em>Sina Farhang Doust, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li>Federated Echo State Networks for Stress Prediction in the Automotive Use Case <em><em>(co-supervision with I. Varlamis<\/em>,<em> Harokopio University Athens<\/em>)<em>,<\/em><\/em> Antonio di Mauro, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>An intelligent web platform for severity scoring in COVID-19 lung ultrasound data (co-supervision F. Faita, IFC-CNR)<\/em>, Gabriele Barreca, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Portfolio mid-frequency trading of Binance Futures based on Long-Short Term Memory (at IMC Trading B.V.), <\/em>Michele Bersani, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Short-term Operation Metrics Forecasting and Anomaly Detection for Virtualized Network Functions <em>(co-supervision by T. Cucinotta, Scuola Superiore Sant&#8217;Anna)<\/em>, <\/em>Dawit Anelay, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Introducing Unsupervised Skills in Continual Reinforcement Learning Agents (co-supervision by V. Lomonaco), <\/em>Elia Piccoli (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Deep Learning for Compression of Physical Systems, (co-supervised with C. Della Santina, TU Delft)<\/em>, Marco Lepri, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>A Deep Learning System for Detecting Microplastics Particles (co-supervised with Modesto Castrillon Santana and Jose Lorenzo Navarro, Univ. Las Palmas<\/em>)<em>, <\/em>Ema Ilic, Laurea Magistrale in Data Science and Business Informatics, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>A Deep Neural Network for Global Localization of an Autonomous Vehicle in an Indoor Environment<em> (co-supervision with C. Di Franco, AITronik<\/em>)<em>,<\/em> <\/em>Pietro Lonardi, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Deep Graph Representations for Polyphonic Multitrack Music Generation, <\/em>Emanuele Cosenza, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>What Is Lost in Compressed Models Trained with Supervised Contrastive Learning (co-supervision with O. Saukh<\/em>,<em> TUG<\/em>)<em>, <\/em>Francesco Corti, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Sintesi di requisiti software simili tramite generazione automatica di parafrasi (final project at ISTI-CNR, Alessio Ferrari)<\/em>, Isabella Carabba, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Anomaly detection su su dispositivi embedded, <\/em>Francesco Grillea, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2021\/2022<\/li>\n\n\n\n<li><em>Deep generative models for electrocardiography time series, <\/em>Lorenzo Simone, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Self-supervised learning for assortment graph embedding <\/em>(co-supervision by Marco Trincavelli, H&amp;M)<em>, <\/em>Marco Varesi, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Regularizing transformers by symbolic knowledge and deep graph networks, <\/em>Matteo Medioli, Laurea Magistrale in Informatica  (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Interpretable COVID-19 severity prediction from lung ultrasound using spatio-temporal neural networks<\/em> (co-supervision by F. Faita, IFC-CNR), Maris Basha, Laurea Magistrale in Informatica  (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Replay-based Approaches for Continual Learning <\/em>(co-supervision by V. Lomonaco)<em>, <\/em>Gabriele Merlin, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Sample condensation in Online Continual Learning<\/em> (co-supervision by A. Carta), Mattia Sangermano, Laurea Magistrale in Informatica (AI Curriculum), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em><em>Extending Avalanche for Continual Reinforcement Learning: Design, Implementation, Experiments and Continual-Habitat-Lab,<\/em> <\/em>(co-supervision by V. Lomonaco), Nicol\u00f2 Lucchesi, Laurea Magistrale in Informatica (AI Curriculum), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Estimating the Leaf Area Index of Grapevine Canopies with Convolutional Neural Networks and Convolutional Autoencoders<\/em>, Gianluca Bergantino, Laurea Magistrale in Data Science &amp; Business Informatics, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em><em>Metodologie di Apprendimento Automatico Continuo per il Monitoraggio dello Stato Umano<\/em>, <\/em>(co-supervised with V. Lomonaco), Federico Matteoni, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Ontology-Driven Evaluation of Semantic Alignment Between Artificial Neurons and Visual Concepts <\/em>Riccardo Massidda, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Domain Adaptation in a turbo-machine regression task for signal virtualization, <\/em>Luca Strazzera (in collaboration with Baker&amp;Hughes), Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Inductive learning for product assortment graph completion (co-supervision by Marco Trincavelli, H&amp;M)<\/em>, Haris Dukic, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Learning graph-based multimodal embeddings for fashion items recommendation (co-supervision by Marco Trincavelli, H&amp;M)<\/em>, Pierpaolo Sepe, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>An end-to-end framework for few-shot learning of novel grasp strategies (co-supervision by Matteo Bianchi and Giuseppe B. Averta, Centro Piaggio)<\/em>, Lorenzo Collodi, Laurea Magistrale in Robotica e Automazione, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Learning grasp failure recovery: online prediction and re-grasp execution<\/em> <em>(co-supervision by Matteo Bianchi and Giuseppe B. Averta, Centro Piaggio)<\/em>, Irene Valdambrini, Laurea Magistrale in Robotica e Automazione, Universit\u00e0 di Pisa, A.A. 2020\/20201<\/li>\n\n\n\n<li><em>Learning grasp failure recovery: online prediction and re-grasp execution (co-supervision by Matteo Bianchi and Giuseppe B. Averta, Centro Piaggio)<\/em>, Paolo Cheli, Laurea Magistrale in Robotica e Automazione, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Federated Reservoir Computing Neural Networks<\/em> <em>(co-supervised with D. Di Sarli, C. Gallicchio)<\/em>, Pouria Faraji, Laurea Magistrale in Informatica (KDD curriculum), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Evaluation of Catastrophic Forgetting in Echo State Networks<\/em> <em>co-supervised with A. Cossu, C.Gallicchio)<\/em>, Newsha Ozgoli, Laurea Magistrale in Informatica (KDD curriculum), Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Addestramento di Reti Neurali Ricorrenti randomizzate in dispositivi mobili, incorporati e IoT (co-supervised with A. Carta, C.Gallicchio)<\/em>, Lorenzo Massagli, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>Data Analytics per l&#8217;Industria 4.0<\/em>, Paolo Lanza, Tirocinio presso Net7, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2020\/2021<\/li>\n\n\n\n<li><em>General neural controller for drone trajectories (co-supervised by Davide Scaramuzza, ETH)<\/em>, Mario Bonsembiante, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Reti neurali ricorrenti: un&#8217;analisi sperimentale comparativa per la predizione dello stato fisico ed emotivo (co-supervised with D. Di Sarli, C. Gallicchio)<\/em>,, Niccol\u00f2 Puccinelli, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Apprendimento con rinforzo: un&#8217;esperienza d&#8217;uso nel gioco Asso Pigliatutto<\/em>, Enrico Tomasi, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Distilled Replay: Mitigating Forgetting through Dataset Distillation (co-supervised with A. Carta, A. Cossu)<\/em>, Andrea Rosasco, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>ANSIA: A Neural System that Infers Affects (co-supervised with C.Gallicchio)<\/em>, Matteo Montalbetti, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Quantum Control via Deep Reinforcement Learning using IBMQ platform and Qiskit Pulse (co-supervision by Enrico Prati, CNR)<\/em>, Rudy Semola, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Tomography reconstruction with end-to-end neural networks,<\/em> Matteo Ronchetti, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Dynamic neural networks for COVID-19 severity prediction from lung ultrasound (co-supervised with F. Faita, IFC-CNR),<\/em> Ruggiero Santo, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Graphs Generation with Recurrent Neural Networks<\/em> <em>(co-supervised with M. Podda)<\/em>, Lorenzo Spano, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Learning Edge Representations by Contextual Graph Markov Model<\/em> <em>(co-supervised with F. Errica, A. Micheli)<\/em>, Daniele Atzeni, Laurea Magistrale in Data Science &amp; Business Informatics, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>CognAC: a cognitive architecture based on Information Dynamics of Thinking (co-supervised with V. Gervasi)<\/em>, Daniele Arioli, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/20<\/li>\n\n\n\n<li><em>Graph Relative Density Networks<\/em>, Valerio De Caro, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2019\/20<\/li>\n\n\n\n<li><em>Explaining Deep Graph Networks By Structured Counterfactual Explanations<\/em>, Danilo Numeroso, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/20<\/li>\n\n\n\n<li><em>Increasing the Interpretability of Deep Recurrent Models for Biomedical Signals Analysis (co-supervision by Anna Monreale, Universit\u00e0 di Pisa and Alfredo Vellido,<em> Universitat Politecnica de Catalunya<\/em>)<\/em>, Michele Resta, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/20<\/li>\n\n\n\n<li><em>Estensione dell\u2019algoritmo SID per l\u2019identificazione delle interazioni sociali<\/em> (co-supervision with M. Girolami, ISTI-CNR), Giuseppe Crea, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Apprendimento profondo su grafi per il rilevamento di bot sociali: una dissertazione sullo sfondo delle elezioni europee 2019<\/em>, Francesco Iannelli, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2019\/2020<\/li>\n\n\n\n<li><em>Machine Learning prediction of compounds impact on Schizoprenia treatment<\/em> (co-supervision by Corrado Priami and Kevin V. Grimes, Stanford University), Alessio Gravina, Laurea Magistrale in Informatica (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2018\/19 <\/li>\n\n\n\n<li><em>Image captioning with structure generation,<\/em> Davide Serramazza, Laurea Magistrale in Informatica (Curriculum AI) , Universit\u00e0 di Pisa, A.A. 2018\/2019  <\/li>\n\n\n\n<li><em>Neural network-based intelligent filter for Youtube videos<\/em>, Gabriele Tenucci, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>Analysing privacy-risks in social networks by deep learning for graphs <\/em>(co-supervision with A. Monreale), Lorenzo Gazzella, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>On the use of sequential learning models to estimate natural selection on Hiv from clinical samples<\/em>  (co-supervision by Matteo Fumagalli, Imperial College London), Francesco Bachini, Laurea Magistrale in Data Science and Business Informatics, Universit\u00e0 di Pisa, A.A. 2018\/19 <\/li>\n\n\n\n<li><em>Deep learning-based segmentation of retinal layers in intraoperative optical coherence tomography <\/em>(co-supervision with Jakob Weiss, TUM M\u00fcnchen), Alessandro Fagnani  (Curriculum AI) , Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/19<\/li>\n\n\n\n<li><em>Machine learning techniques for 3D point clouds data <\/em>(co-supervision with D. Giorgi, P. Cignoni at VCG-ISTI), Mattia Angelini, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>A Mathematical Framework for Stochastic Gradient Algorithms<\/em> (co-supervision with Marco Romito, Dept. of Mathematics), Andrea Papini, Laurea Magistrale in Applied Mathematics, Universit\u00e0 di Pisa, A.A. 2018\/19<\/li>\n\n\n\n<li><em>Headline Generation and Analysis of Writing Styles in Journalism <\/em>(co-supervision by Malvina Nissim, Groeningen University), Michele Cafagna  (Curriculum AI) , Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/19<\/li>\n\n\n\n<li><em>Continual Learning with recurrent neural networks,<\/em> Andrea Cossu, Laurea Magistrale in Informatica  (Curriculum AI), Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>K-plex pooling for graph deep neural networks,<\/em> Francesco Landolfi, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>Memory augmented networks in reinforcement learning&nbsp;<\/em> (co-supervision by Andrew Melnik, Bielefeld Universit\u00e4t), Federico Rossetto  (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/19<\/li>\n\n\n\n<li><em>Multi-task Deep Learning in the software development domain <\/em>(co-supervision with Ahmed Elnaggar, Technische Universit\u00e4t M\u00fcnchen), Silvia Severini (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/19<\/li>\n\n\n\n<li><em>A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks,<\/em> Luigi Di Sotto, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>Analysis of the Latent Space of an Adversarial Autoencoder<\/em>, Stefan Daniel Motoc, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>Explorative analysis of physiological data from wearable sensors,<\/em> Gioele Bertoncini, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2018\/2019<\/li>\n\n\n\n<li><em>Audio-Augmented Dialogue Systems, co-supervision with E. Cambria (NTU Singapore), <\/em>Vlad Pandelea (Curriculum AI), Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/18<\/li>\n\n\n\n<li><em>Incremental pretraining of multi-resolution memory networks,<\/em> Diego Giorgini, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/2018<\/li>\n\n\n\n<li><em>microESN: Echo State Network for embedded systems,<\/em> Lorenzo Marsicano, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/2018<\/li>\n\n\n\n<li><em>MusAE: an Adversarial Autoencoder for Music,<\/em> Andrea Valenti, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/2018<\/li>\n\n\n\n<li><em>Conditional Variational Auto-Encoders for Tree-Structured data,<\/em> Michele Colombo, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/2018<\/li>\n\n\n\n<li><em>Top-Down Hidden Tree Markov Networks<\/em>,&nbsp; Valerio De Caro, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/18<\/li>\n\n\n\n<li><em>Deep learning for player identification in sport videos<\/em>, Francesco Rizzo, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2017\/18<\/li>\n\n\n\n<li><em>Bayesian optimization for sequence design in quantitative magnetic resonance imaging <\/em>(co-supervision with A. Cisternino and G. Buonincontri (Imago7)), Giada Fallo, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Vision-based Deep Learning model for guiding Multi-fingered Robotic Grasping <\/em>(co-supervision with M. Bianchi and A. Bicchi at Centro Piaggio)<em>,<\/em> Lapo Frati, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Machine learning per la predizione del rischio di broncodisplasia polmonare<\/em>, Alessio Gravina, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/17.<\/li>\n\n\n\n<li><em>A generative approach for learning contexts in graphs,<\/em> Federico Errica, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Topologie concentriche per il reservoir computing<\/em>, Andrea Bongiorno, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/17.<\/li>\n\n\n\n<li><em>Learning tree transductions by deep neural networks,<\/em> Antonio Bruno, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Analisi di strutture ad albero: un approccio neuro-probabilistico<\/em>, Simone Spagnoli, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/17.<\/li>\n\n\n\n<li><em>Deep learning models for track reconstruction in particle physics<\/em> (co-tutored by Felice Pantaleo, CERN), Antonio Carta, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Augmenting recurrent neural networks resilency by dropout,<\/em> Francesco Crecchi, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Echo state network per la novelty detection: un approccio incrementale<\/em>, Andrea Cossu, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/17<\/li>\n\n\n\n<li><em>Denoising di range maps mediante tecniche di deep learning <\/em>(co-supervision with M. Di. Benedetto, P. Cignoni at VCG-ISTI)<em> ,<\/em> Maurizio Idini, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Analisi di dati geolocalizzati tramite tecniche di machine learning<\/em>, Vlad Pandelea, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/17<\/li>\n\n\n\n<li><em> Unsupervised and supervised methods for automatic human hand pose recognition for robotics and human robot interaction,<\/em> Visar Arapi, Laurea Magistrale in&nbsp;Ingegneria Robotica e dell&#8217;Automazione , Universit\u00e0 di Pisa, A.A. 2016\/2017 (co-supervision with A. Bicchi, M. Bianchi, C. Della Santina and E. Battaglia at Centro Piaggio)<\/li>\n\n\n\n<li><em>Learning Tree Transducers: a coupled Hidden Markov Tree Approach,<\/em> Daniele Castellana, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Deep learning for natural language processing of patent information <\/em>(external thesis at <em>TUM University)<\/em>, Ahmad Alleboudy, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Sviluppo di algoritmi per la elaborazione di immagini per operazioni di manutenzione robotizzate in ambiente siderurgico <\/em>(Final project at Scuola Superiore Sant&#8217;Anna), Ruben Matino, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>Artificial intelligence in the world of chatbots <\/em>(external project at Deloitte), Paolo Grossi, Laurea Magistrale in Business Informatics, Universit\u00e0 di Pisa, A.A. 2016\/2017<\/li>\n\n\n\n<li><em>ReCoPy: un framework per il reservoir Computing in Python,<\/em> Cosimo Ragusa, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Predicting mortality in low birth-weight infants: a machine learning perspective,<\/em> Marco Podda, Laurea Specialistica in Informatica, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Modelli di deep learning per acceleratori grafici<\/em>, Paolo Didier Alfano, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Librerie web per uso combinato di smartwatch e public display tramite gesti <\/em>(external project at HIIS Laboratory, ISTI-CNR)<em>,<\/em> Marco Barsotti, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Customer Segmentation In Developing Business Strategies Based On Loyalty &amp; Trade-In Programs<\/em>, Xiaofeng Xu, Brainlab AG, Laurea Magistrale in Business Informatics, Universit\u00e0 di Pisa, A.A. 2015\/2016<\/li>\n\n\n\n<li><em>Machine Learning techniques for defects prediction in semiconductor manufacturing<\/em>, Francesco Brundu<em>, <\/em>Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2014\/2015<\/li>\n\n\n\n<li><em>Analisi preliminare di un modello predittivo per il sistema di bike sharing Ciclopi,<\/em> Antonio Carta, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2014\/2015<\/li>\n\n\n\n<li><em>Selezione del Modello e delle Feature per l\u2019Apprendimento in Ecologie Robotiche<\/em>, Filippo Benedetti<em>, <\/em>Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2013\/2014<\/li>\n\n\n\n<li><em>Sviluppo ed integrazione del livello di learning su una rete distribuita di capacit\u00e0 eterogenea<\/em>, Matteo Andolfi, Laurea Magistrale in Informatica, Universit\u00e0 di Pisa, A.A. 2012\/2013<\/li>\n\n\n\n<li><em>Supporto per l\u2019apprendimento e localizzazione di una piattaforma robotica mobile<\/em>, Tommaso Catuogno, Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2012\/2013<\/li>\n\n\n\n<li><em>Cross-Document Coreference nelle news italiane<\/em>, Saverio Castelli, Laurea Triennale in Matematica, Universit\u00e0 di Pisa, A.A. 2012\/2013<\/li>\n\n\n\n<li><em>Progettazione e realizzazione di una interfaccia per il Learning System distribuito di Rubicon<\/em>, Alessandro Lenzi, Tirocinio Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2011\/2012<\/li>\n\n\n\n<li><em>Realizzazione di un sistema di apprendimento generativo per dati strutturati<\/em>, Simone D&#8217;Amario, Tirocinio Laurea in Informatica, Universit\u00e0 di Pisa, A.A. 2010\/2011.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Here follows a list of final projects that I have supervised for the B.Sc and M.Sc. in Computer Science, Mathematics, Physics and Robotics Engineering at Universit\u00e0 di Pisa. Contact me if you are interested in a thesis, for up-to-date information on the available topics. In progress Completed<\/p>\n","protected":false},"author":19,"featured_media":0,"parent":781,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-819","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/819","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/comments?post=819"}],"version-history":[{"count":53,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/819\/revisions"}],"predecessor-version":[{"id":1628,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/819\/revisions\/1628"}],"up":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/781"}],"wp:attachment":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/media?parent=819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}