CILab - Computational Intelligence Laboratory

🎉 Great News! 🎉 Our latest work, named "GraphCLIP: Image-Graph Contrastive Learning for Multimodal Artwork Classification," has been accepted as a regular paper in the Knowledge-Based Systems journal! 📖✨ This is a big step forward in my PhD journey, and I couldn’t be happier to see our hard work come to fruition. 🌟 A huge thank you to my amazing co-authors—Giovanna Castellano, Gennaro Vessio, and Giuseppe Fiameni for supporting and contributing to this achievement! 🙏💡 In this paper, we explore how effective image-graph contrastive learning can be for multimodal artwork classification. 🖼🤖 If you are curious about how AI and Cultural Heritage can intersect, this could be the right paper! We’re also looking forward to releasing an open-access version of the paper as soon as possible to make it accessible to everyone. Stay tuned! #PhDJourney #AI #CulturalHeritage #GraphCLIP #KnowledgeBasedSystems

🎉 Great News! 🎉 Our latest work, named "GraphCLIP: Image-Graph Contrastive Learning for Multimodal Artwork Classification," has been accepted as a regular paper in the Knowledge-Based Systems journal! 📖✨ This is a big step forward in my PhD journey, and I couldn’t be happier to see our hard work come to fruition. 🌟 A huge thank you to my amazing co-authors—Giovanna Castellano, Gennaro Vessio, and Giuseppe Fiameni for supporting and contributing to this achievement! 🙏💡 In this paper, we explore how effective image-graph contrastive learning can be for multimodal artwork classification. 🖼🤖 If you are curious about how AI and Cultural Heritage can intersect, this could be the right paper! We’re also looking forward to releasing an open-access version of the paper as soon as possible to make it accessible to everyone. Stay tuned! #PhDJourney #AI #CulturalHeritage #GraphCLIP #KnowledgeBasedSystems

Uscita questa mattina 𝑃𝑟𝑒𝑠𝑡𝑜! 𝑄𝑢𝑎𝑙𝑐𝑢𝑛𝑜 𝑐ℎ𝑖𝑎𝑚𝑖 𝑢𝑛 𝑐𝑎𝑙𝑐𝑜𝑙𝑎𝑡𝑜𝑟𝑒, la 5a puntata di 𝗚𝗲𝗻𝗶𝗮𝗹𝗲, il podcast sull'#intelligenzaartificiale prodotto e realizzato grazie alla collaborazione tra FAIR e Il Post e condotto da Matteo Bordone. Questo episodio è incentrato sull'intelligenza artificiale di supporto alla medicina e alla salute, un'#IA che possa coadiuvare il lavoro dei medici nella cura e prevenzione di malattie tumorali e degenerative. Ospiti di questa puntata sono Paolo Soda , Professore Ordinario di Sistemi di Elaborazione delle Informazioni presso l’ Università Campus Bio-Medico di Roma, Paolo Avesani, ricercatore presso la Fondazione Bruno Kessler - FBK, dove dirige il Laboratorio di Neuroinformatica, un’iniziativa congiunta della Fondazione e dell’ Università di Trento, e Giovanna Castellano , Professoressa Associata al Dipartimento di Informatica dell’Università degli Studi di Bari, dove coordina il Computational Intelligence Lab. Per ascoltarla: ▶ 𝘀𝗶𝘁𝗼 (o app) de Il Post 👉 https://lnkd.in/dYz4SqRm ▶ 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 👉 https://lnkd.in/d6iWXv7Q... ▶ 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 👉 https://lnkd.in/db_S4EHW Leggi la news 👉 https://lnkd.in/dv3Gs3AX

🌟 Exciting News! 🌟     We are thrilled to announce that the Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) are now published! 🎉 This workshop, co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) , took place in the beautiful city of Santiago de Compostela, Spain, on October 20, 2024.     The proceedings, edited by Gabriella Casalino, Giovanna Castellano, and Gianluca Zaza, have been made freely available by CEUR under a CC copyright license. You can access them here: https://lnkd.in/ddN8dXPP     We extend our heartfelt gratitude to all the authors for their innovative contributions and to the reviewers whose expertise and thoughtful feedback ensured the success of this workshop. Your collective efforts have shaped a vibrant and impactful collection of works in the field of Explainable AI for the medical domain.     💡 Stay tuned! We will soon be announcing the venue for a special issue to continue the discussions and advancements sparked by this workshop.     Let’s keep pushing the boundaries of AI for the betterment of healthcare! 🚀 Future AI Research supports the workshop under the Spoke 6 - Symbiotic AI. CILab - Computational Intelligence Laboratory - Università degli Studi di Bari - DIB - Dipartimento di Informatica - UniBa #ECAI2024 #EXPLIMED #XAI #HealthcareAI #MedicalInnovation #ArtificialIntelligence #AIforGood #ECAI #AIHealthcare #ExplainableAI

🎓 Seminar Day Highlights at the #DeepLearning Course in our Master's in #DataScience! Today was inspiring! Our brilliant doctoral students shared their research topics—from foundational concepts to advanced applications—with our master’s students. Their presentations truly showcased their depth and maturity! 👏 We also had a great session with Francesco Ranieri from Tuidi, who shared industry insights and encouraged our students to explore internship opportunities. And with other partners like Sidea Group and more, there are many doors open for hands-on experience! 🚪✨ At CILab - Computational Intelligence Laboratory, we’re always excited to welcome fresh minds ready to push the boundaries of what’s possible. Let’s keep innovating together! 🚀💡

☃️ With winter around the corner, the IEEE/CVF Winter Conference on Applications of Computer Vision (#WACV) 2025 is fast approaching – and I'm excited to share that our paper, "I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting," has been accepted for presentation in Tucson, Arizona! 🌵🇺🇸 🖌️ In this paper, we tackle a newly introduced task in computer vision: inpainting multiple image regions simultaneously, each guided by its own text prompt. We cover the entire process, from automatic object-level data annotation to diverse and plausible prompt generation and precise region-aligned inpainting. A huge thank you to my co-authors, Gennaro Vessio and Giovanna Castellano, whose invaluable support was essential in making this work a reality 🎉. Keep an eye out for the project website, paper, data, and code, which will be released soon! #WACV2025 #ComputerVision

🚀 Exciting announcement! The First Workshop on Explainable Artificial Intelligence for the Medical Domain - EXPLIMED is about to start at the 27th European Conference on Artificial Intelligence - ECAI 2024! If you're attending the conference, make sure to join us! 🙌 Our keynote speaker, Prof. Hani Hagras, will deliver a talk on True Explainable Artificial Intelligence for Health Applications, followed by three sessions featuring fascinating presentations on cutting-edge research. 🏥💡Don’t miss this chance to explore the future of AI in healthcare! Check out the program here: https://lnkd.in/dwQwBRxn Future AI Research supports the workshop under the Spoke 6 - Symbiotic AI. Organizing Committee: Gianluca Zaza, Giovanna Castellano, Gabriella Casalino CILab - Computational Intelligence Laboratory Università degli Studi di Bari DIB - Dipartimento di Informatica - UniBa #ECAI2024 #EXPLIMED #XAI #HealthcareAI #MedicalInnovation #ArtificialIntelligence #AIforGood #ECAI #AIHealthcare #ExplainableAI