Per stato
47
progetti in corso
- Adversarial Learning for Fairness in Multi-Agent Reinforcement Learning: Mitigating Discrimination in Cooperative Environments — Federico Rullo
- Agent Speak Pommerman — Enrico Morselli • Sara Vorabbi
- Analysis and Comparison of Different Bias Mitigation Strategies on Machine Learning Models — Angelo Galavotti • Lorenzo Galfano
- Analysis of Explainability ML Techinques against Adversarial Models — Nicola Palli • Terzi Angelo
- App per stabilimenti balneari — Luca Panariello
- Applicativo di tracciamento transazioni bancarie — Marco Chiavaroli • Davide Crisante
- Assessing Bias in Multi-Modal Models: A Study of CLIP on Gender and Skin Tone — Torzi Luca
- Beach volleyball management software — Nicola Montanari
- Bias Mitigation in AI Models for Cardiovascular Diseases Prediction — Giorgia Castelli • Alice Fratini • Madalina Ionela Mone
- Bias mitigation in automated loan eligibility process — Chiara Angileri • Niccol`o Marzi • Shola Oshodi
- Blockchain-based energy trading — Lorenzo Zanetti
- Cheat (multiplayer cards game) — Andrea Brighi
- Classification of Hand Movements Using DNN, LSTM, and SNN: A Comparative Study — Kashaf Ad Dooja
- Comic Events Organizer — Alessandro Pioggia
- Conquerors of Mars — Federico Bonetti
- Decentralized Distributed Machine Learning over a Peer-to-Peer network — Filippo Barbari
- Decentralized Public Key Infrastructure with Identity Retention — Marco Pesic • Riccardo Alni
- DevOps on OpenStack — Gloria Semprini
- Distributed Caching Solution — Gianfranco Branco
- Distributed Cafè System — Elisa Albertini • Eleonora Bertoni
- Evaluating AI Models with the ETHICS Dataset for Ethical Alignment — Gianluca Di Mauro • Leonardo Monti
- Explainability of Large Language Models (LLMs): A Literature Review — Bianca Raimondi • Andrea Gurioli
- Explainable Face Recognition Framework and Qualitative Fairness Assessment — Ilenia Carboni
- Fairness in Recruitment Decisions Algorithms — Riccardo Marvasi • Edoardo Saturno • Lorenzo Balzani
- Fairness in diabetes prediction dataset — Arianna Albertazzi • Lucia Gasperini
- Food Company — Corrado Stortini
- Framework for Symbolic Rules Constraints in Neural Networks — Silje Eriksen
- Guess Who — Andrea Biagini • Filippo Gurioli
- High Noon Blitz: Reaction Challenge — Alessandro Becci • Lorenzo Massone • Luca Tonelli
- Implementazione Netcode di tipo rollback — Samuele Turci
- LDAP subtree merging proxy deamon — Michele Ravaioli • Eugenio Tampieri
- LIME vs SHAP Comparing ML explanation techniques — Andrea Terenziani
- Love Letter Game — Emanuele Lamagna
- Maraffa Online — Sofia Tosi • Matteo Santoro
- Multi-Agent Reinforcement Learning for Autonomous Vehicle Coordination — Edoardo Conca
- Multi-Agent Reinforcement Learning on Flatland 3 challenge — Edoardo Merli
- On the Fairness capability of CatBoost — Edoardo Fusa • Angelo Quarta
- P2P Federated Learning using SAC — Leonardo Randacio
- Papa’s MASseria A MultiAgent AI for a classic Flash game — Andrea Terenziani • Alberto Luise
- Predator-prey simulation using MARL — Luca Fabri
- Raft KV Store — Giovanni Macrelli
- Reservation and Administration of a Restaurant chain — João Maria Baptista Gonçalves Zarcos • Duarte Miguel Da Cunha Terrível
- Study, design, and implement the GRAM symbolic knowledge injection algorithm — Davide Freddi • Davide Gardenal
- Survey on Distributed Techniques applied to Neural Networks — Razvan Florian Vasile
- Trading Virtual Goods – Marketplace di NFT con aste in tempo reale e dApp su blockchain EOSIO — Alan Mancini • Matteo Brocca
- Web app per la gestione dei progetti aziendali — Vanessa Lauro
- onAuction — Marco Frattarola