Check out my new joint work with Visar Arapi, Cosimo Della Santina, Matteo Bianchi and Antonio Bicchi. A deep learning based approach to recognize action primitives in video of object manipulation by humans. A first step towards automating robot manipulation …
Congratulations (with some delay) to my students who graduated with two theses on the LISTIT project. Valerio De Caro extended the Hidden Markov Tree Network and developed an efficient implementation of the model. Michele Colombo developed a Conditional Variational Autoencoder …
Congratulations to my student Daniele Castellana for his first journal paper on learning infinite mixture of tree models for structured data clustering. The paper has been selected to be extended for journal publication from the ESANN 2018 best papers.
I am co-organizing two special sessions at IJCNN 2019 next summer: Special Session on Explainable Machine Learning, organized by Davide Bacciu (University of Pisa), Paulo J.G. Lisboa (Liverpool John Moores University), José D. Martín-Guerrero (Universitat de Valencia), Alfredo Vellido (Universitat …
Learning on Graphs and Explainable ML sessions @IJCNN 2019 Read more »
Welcome Federico Errica, joining the Machine Learning group as a Ph.D. student under my joint supervision with Alessio Micheli. Pleasure to be working with such a smart guy!
Our tutorial on Deep Learning for Graphs will be presented at “INNS Big Data and Deep Learning 2019”: check out program and dates here.
On Friday 12 October 2018 (15.00h) I will be giving a joint talk with my student Andrea Valenti at Internet Festival 2018 on the use of AI techniques to create fake political news and social posts (details follow) The session …
Citizen Brain – AI&Politics Talk at Internet Festival Read more »
I am co-organizing a special session at the upcoming ESANN 2019 on societal impacts of artificial intelligence, covering privacy, safety, ethical and fairness issues of machine learning. We welcome contributions both from a theoretical and methodological side, as well as …
Special session on societal issues in machine learning @ESANN2019 Read more »
A new paper for the LISTIT project has just been accepted for the IEEE SSCI 2018. Check out our sentence summarization approach using parse tree transductions!
Congratulations to my student Marco Podda for his first journal paper on a ML-based preterm infant survival score. It comes with a webservice to compute the score on new data here and with the code to train it here. And …
Our preterm survival score out on Nature Reports! (now with software) Read more »