Per stato
81
progetti in corso
- 3DShare — Riccardo Pepe
- A Comparative Study of Pre-defined and Automatically Discovered Concepts for Interpretability — Valerio Costa • Luca Domeniconi
- Adversarial Learning for Fairness in Multi-Agent Reinforcement Learning: Mitigating Discrimination in Cooperative Environments — Federico Rullo
- An Overview on Serverless Computing, its Opportunities and its Challenges — Nicolò Monaldini
- 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
- Battleship Game — Kalile Horri • Intisar Bel Meddeb
- Bias Analysis and Ethical Considerations in ML Models for Healthcare — Paolo De Angelis • Francesco Pigliapoco
- Bias Mitigation in AI Models for Cardiovascular Diseases Prediction — Giorgia Castelli • Alice Fratini • Madalina Ionela Mone
- Bias in Law School Admissions: Analysis and Mitigation Using Machine Learning — Federico Marchi • Christina Baytcheva • Anna Di Iulio
- Bias mitigation in automated loan eligibility process — Chiara Angileri • Niccol`o Marzi • Shola Oshodi
- Blackjack — Juri Guglielmi • Denise Nanni
- Blockchain-based energy trading — Lorenzo Zanetti
- Cabo Online — Michele Bachetti • Elia Marcantognini • Angelo Tinti
- Cheat (multiplayer cards game) — Andrea Brighi
- Classification of Hand Movements Using DNN, LSTM, and SNN: A Comparative Study — Kashaf Ad Dooja
- CodeMaster — Alex Testa • Riccardo Rambaldi
- Comic Events Organizer — Alessandro Pioggia
- Decentralized Distributed Machine Learning over a Peer-to-Peer network — Filippo Barbari
- Deepfake Video Detection: A Comparative Study — Roberto Giordano • Alessio Pittiglio
- Detecting Subjective Bias in Text Using the Wiki Neutrality Corpus — Bahar Hamzehei • Taleb Zarhesh
- Detecting and Mitigating Bias in AI-Powered Loan Approval Systems — Eleasar Erz
- Distributed Filesystem — Gabriele Basigli • Muhamad Husyen Salman
- DomoticASW — Alessandro Venturini • Corrado Stortini • Francesco Carlucci • Marco Raggini
- Dubito Online — Andrea Bianchi • Alberto Arduini
- Enhancing Explainability in Transformer Models for Detecting Sexism on Twitter — Tancredi Bosi • Francesco Farneti • Giovanni Grotto
- Ensuring Trustworthy Medical AI: Enhancing Robustness and Ethical Integrity of Image Classifiers Against Adversarial Attacks — Matteo Fasulo • Luca Babboni • Maksim Omelchenko
- Ethical Simulation of Urban Mobility in Bologna’s Digital Twin — Fatemeh Izadinejad • Ali Loloeejahromi • Hamidreza Bahmanyar
- Ethical and Legal Framework for Inclusive LMMs: Designing ChatGPT for Neurodivergent Users LMMs — Elisabet Bolarín Mirò
- Explainability of Large Language Models (LLMs): A Literature Review — Bianca Raimondi • Andrea Gurioli
- Exploring Natural Example-Based Local and Global Explainability Across Different Data Types — Claudia Maiolino • Tian Cheng Xia
- Fairness Consideration in Digital Twin — Francesco Cavaleri • Giacomo Piergentili
- Fairness in AutoML — Tara Sabooni • Yasaman Samadzadeh
- Fairness in EEG-Based Depression Detection — Annisaa Fitri Nurfirdausi
- Fairness in Multilingual Sentiment Analysis using DistilBERT — Paul Clotan • Valeria Izvoreanu • Antonio Gravina
- Fairness in Recruitment Decisions Algorithms — Riccardo Marvasi • Edoardo Saturno • Lorenzo Balzani
- Fairness in diabetes prediction dataset — Arianna Albertazzi • Lucia Gasperini
- Fairness-Aware Deep Learning for Early Detection of Autism Spectrum Disorder — Tannaz Masoudian
- Food Company [not completed] — Corrado Stortini
- Formal Safety Assessment of Neural Networks under Adversarial Attacks — Mauro Dore • Gian Mario Marongiu • Riccardo Murgia
- Framework for Symbolic Rules Constraints in Neural Networks — Silje Eriksen
- Gender Bias in AI-Generated Texts: A Comparative Perspective between English and Chinese Language Models — Xiaojun Liang • Shengzi Huang
- I-driven development in large codebases: a MAS approach — Ake Sjursen Hauge • Eirik Varnes
- Implementazione Netcode di tipo rollback — Samuele Turci
- Investigating Bias in Generative Text-to-Image AI Models — Davide Crociati • Davide Sonno
- LDAP subtree merging proxy deamon — Michele Ravaioli • Eugenio Tampieri
- LIME vs SHAP Comparing ML explanation techniques — Andrea Terenziani
- LastBite — Pier Costante Babini • Marco Morelli
- Liar's Poker — Francesco Buda • Emanuele Sanchi • Tommaso Severi
- MAS-Hospital: A multi-agent hospital simulation — Angelo Galavotti
- MAS: May the sharpest scissor win — Elena Willmann
- Mitigating LLM Social Bias by Assessing and Filtering Reasoning Steps with a Multi-Judge Pipeline — Fatemehzahra Ghafari Ghomi • Shafagh Rastegari • Habib Kazemi
- Mitigating Social Bias in LLMs via Multi-Agent Collaboration and Reflective Reasoning — Hesam Sheikh Hassani • Mehregan Nazarmohsenifakori • Safoura Banihashemi
- Mixture of Doctors: an agentic-RAG system for self-management of chronic diseases — Lucia Castellucci • Roberto Mitugno • Luca samorè
- Multi agent AI stock environment simulation — Andreas Marken
- Multi-Agent Exploration in a Simulated Environment — Paolo Leo
- On the Fairness capability of CatBoost — Edoardo Fusa • Angelo Quarta
- P2P Federated Learning using SAC — Leonardo Randacio
- Phaint — Nicolò Ghignatti • Ettore Farinelli
- Predictive Modeling on Real Hiring Data: Exploring Salary Stereotypes and Bias Mitigation — Lyudmil Stamenov
- Raft KV Store — Giovanni Macrelli
- RailSync — Nicolas Amadori • Riccardo Mazzi
- Reservation and Administration of a Restaurant chain — João Maria Baptista Gonçalves Zarcos • Duarte Miguel Da Cunha Terrível
- Robustness in Counterfactual Explanations Generation using LLMs — Chang Sun • Xiaofeng Zhang
- Robustness of LLMs — Carlo Merola • Jaspinder Singh • Othmane Dardouri
- Shared Pomodoro — Ramzi Gallala
- SimAquarium — Andrea Bedei • Giacomo Leo Bertuccioli • Fabio Notaro
- Simplified NoSQL Emulator — Alessandro Pioggia
- Study and implementation of the Mod-SMaRt algorithm — Bryan Corradino
- Study, design, and implement the GRAM symbolic knowledge injection algorithm — Davide Freddi • Davide Gardenal
- Sustainable City via Trustworthy Digital Twin: a Use Case — Christian Di Buò • Simone Reale
- Tetris Battleroyale
- The Use of AI in Criminal Justice: Bias and Accountability — Laura Lucchiari
- Toward Trustworthy Diagnosis: Model Comparison and XAI-Guided Ensembling on the CheXpert Dataset — Eugenio De Luca
- Towards Ethical AI in Healthcare: Enhancing Interpretability in ECG Classification through Physician-Guided Knowledge Distillation — Zijun Sun • Enze Ge • Ruixin Li
- Trading Virtual Goods – Marketplace di NFT con aste in tempo reale e dApp su blockchain EOSIO — Alan Mancini • Matteo Brocca
- Uno card game — Alessandro Agosta • Norbet Gabos
- Visual Stereotypes and Language Generation: A Comparative Bias Study of MLLMs — Erfan Samieyan Sahneh • Jana Nikolovska
- Web app per la gestione dei progetti aziendali — Vanessa Lauro
- onAuction — Marco Frattarola