Spaces:
Running
Running
| title: README | |
| emoji: 🐨 | |
| colorFrom: blue | |
| colorTo: gray | |
| sdk: static | |
| pinned: false | |
| <div align="center"> | |
| <img src="PraiseLogo_full.png" width="50%"/> | |
| </div> | |
| <h1 align="center">Hi 👋, we are the PRAISE Research Group</h1> | |
| <h3 align="center">Predictive Analytics for Understanding Big Multimedia Data @ University of Naples Federico II</h3> | |
| <div align="center"> | |
| <img src="https://napoli.esn.it/satellitenew/sites/esnnapoli.it/files/FedericoII.jpg" height="20%" width="20%", style="padding: 5px;"> | |
| <img src="https://th.bing.com/th/id/OIP.KbIGRsHkdRj-Ao8nM3VTGAAAAA?rs=1&pid=ImgDetMain" height="20%" width="20%", style="padding: 5px;"> | |
| <img src="https://picuslab.dieti.unina.it/images/hp-slider/Image_Logo5.png" height="20%" width="20%", style="padding: 5px;"> | |
| </div> | |
| <p align="left"> | |
| <img src="https://komarev.com/ghpvc/?username=praise-research" alt="praise-research"/> | |
| </p> | |
| --- | |
| ## 🧠 About Us | |
| The **PRAISE (PRedictive AnalytIcs for underStanding big multimEdia data)** research group is part of the **PICUS Lab** at the **Department of Electrical Engineering and Information Technologies (DIETI)**, University of Naples Federico II, Italy. | |
| We are a team of researchers with a strong background in **AI**, **multimodal data understanding**, and **predictive analytics** across multiple domains including **eHealth**, **Social Network Analysis**, and **Multimedia Data Analysis**. | |
| Our goal is to develop intelligent systems that can **understand**, **predict**, and **interact** with complex multimedia information—especially focusing on language, vision, and their integration. | |
| --- | |
| ## 🔬 Research Topics | |
| - **Multimodal AI for Healthcare** | |
| - Multilingual and multimodal language models | |
| - Diagnostic and therapeutic AI assistance | |
| - Automatic EHR generation from speech and unstructured text (Italian) | |
| - Medical image understanding (CT, MRI, X-ray, etc.) | |
| - **Social Network Modeling & Simulation** | |
| - Generative Agent-Based Frameworks | |
| - LLM-driven simulation of social phenomena: stance change, information diffusion | |
| - Tools for crowd fact-checking, fake news and harmful content detection | |
| - **Lie Detection from Multimedia Streams** | |
| - AI for behavioral analysis and deception detection | |
| - Collaborative project with US-based Courtscribes Company | |
| - **Big Scholarly Data Analytics** | |
| - Automated knowledge extraction and semantic enrichment | |
| - Development of analytics platforms for scientific literature | |
| --- | |
| ## 🤖 Models | |
| We are currently developing **fine-tuned multimodal language models** for the **Italian medical domain**, in collaboration with national (e.g., Accenture, Almaviva) and international partners (e.g., King’s College London). | |
| Our models integrate **textual** and **visual** medical data to support clinical tasks in real-world applications. | |
| --- | |
| ## 📄 View our papers | |
| <a href="https://scholar.google.com/citations?user=0FXky6Cr1RoC" target="_blank"> | |
| <img alt="Google Scholar" src="https://img.shields.io/badge/Google_Scholar-4285F4?style=for-the-badge&logo=googlescholar&logoColor=white"> | |
| </a> | |
| --- | |
| ## 📫 Contact Us | |
| - 🌐 **Hugging Face Page:** [PRAISELab@PICUSLab](https://huggingface.co/praiselab-picuslab) | |
| <h3 align="left">Connect with us:</h3> | |
| <p align="left"> | |
| <a href="https://www.linkedin.com/company/praise-picuslab/" target="blank"> | |
| <img align="center" src="https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/linked-in-alt.svg" alt="giuseppericcio" height="30" width="40"/> | |
| </a> | |
| </p> | |
| --- | |
| ## ⭐ Members | |
| <table> | |
| <tr> | |
| <td align="center"> | |
| <a href="https://github.com/giuseppericcio"> | |
| <img src="https://avatars.githubusercontent.com/giuseppericcio" width="100px;" alt="Giuseppe Riccio"/><br /> | |
| <sub><b>Giuseppe Riccio</b></sub> | |
| </a> | |
| </td> | |
| <td align="center"> | |
| <a href="https://github.com/laerre9"> | |
| <img src="https://avatars.githubusercontent.com/laerre9" width="100px;" alt="Antonio Romano"/><br /> | |
| <sub><b>Antonio Romano</b></sub> | |
| </a> | |
| </td> | |
| <td align="center"> | |
| <a href="https://github.com/giammy677dev"> | |
| <img src="https://avatars.githubusercontent.com/giammy677dev" width="100px;" alt="Gian Marco Orlando"/><br /> | |
| <sub><b>Gian Marco Orlando</b></sub> | |
| </a> | |
| </td> | |
| <td align="center"> | |
| <a href="https://github.com/diegorusso95"> | |
| <img src="https://avatars.githubusercontent.com/diegorusso95" width="100px;" alt="Diego Russo"/><br /> | |
| <sub><b>Diego Russo</b></sub> | |
| </a> | |
| </td> | |
| <td align="center"> | |
| <a href="https://github.com/csmariano"> | |
| <img src="https://avatars.githubusercontent.com/csmariano" width="100px;" alt="Mariano Barone"/><br /> | |
| <sub><b>Mariano Barone</b></sub> | |
| </a> | |
| </td> | |
| </tr> | |
| </table> | |