Sylvio Barbon Junior
@sbarbonjr
Professor at University of Trieste working on machine learning, computer vision, and data mining.
ID: 1416077732
09-05-2013 17:41:00
360 Tweet
174 Followers
183 Following
Heading to Moraira, where from tomorrow I'll be a mentor at the SPECIES Society summer school. Eager to start doing science with other mentors and students, aiming at Evostar 2025 (which we'll host in Università di Trieste).
Grateful for the opportunity to discuss how computational innovation is paving the way for creating 'In Silico Food' in this new era. 🍴💻 #FoodTech #Innovation #InSilico Machine Learning Lab
#Soccer: How does #AI analyze intricate player interactions? Can a fully automated data pipeline give teams a competitive edge? We discussed these questions here: bit.ly/4gatlDh Machine Learning Lab
It is a pleasure to share the #ML4PM 2024 findings. In this edition, once again, Predictive Process Monitoring stands out as the main PM task. Paolo Ceravolo Gabriel Marques Tavares Task Force on Process Mining International Conference on Process Mining (ICPM) Machine Learning Lab
Tutorial:: Process Mining the Scikit-Learn Way: Introducing SkPM. Sylvio Barbon Junior rafael oyamada #ML4PM International Conference on Process Mining (ICPM)
I'm very happy for this research I contributed to, together with two brilliant students from 🇩🇪 and 🇳🇴. The idea started at the SPECIES Society summer school and we'll present it at Evostar in #Trieste, hosted by my Università di Trieste.
AI is making food safer—spotting contamination, checking freshness & more. But can we really trust these "black box" models? Our new survey shows how #XAI can open up AI in Food Engineering, making decisions clearer for everyone! arxiv.org/pdf/2504.10527 Machine Learning Lab
Our Special Issue on AI in Biomedical Speech & Voice Analysis is out in Computers in Biology and Medicine, Elsevier! Explore topics like #XAI, voice biomarkers, Parkinson’s, Alzheimer’s & more. sciencedirect.com/special-issue/… #AI #SpeechTech #HealthTech #ML Machine Learning Lab
O futuro da Inteligência Artificial é explicável. E você, vai ficar de fora? youtube.com/watch?v=aO3Qh_… Vem com a gente para a 4th World Conference on Explainable Artificial Intelligence (xAI 2026), no Brasil!!! Machine Learning Lab
Call for Papers – 4th World Conference on Explainable Artificial Intelligence (XAI 2026) Be part of the global conversation shaping the future of transparent and trustworthy AI! Submission: lnkd.in/dn469BxU Deadline: February 1, 2026 Machine Learning Lab