Check out my upcoming speech on AI at Palazzo Blu, from an historical perspective, through today’s shiny applications to upcoming societal challenges.
Wednesday 21st March 2018 – 17.30-19.30
Auditorium Palazzo Blu – Pisa
https://palazzoblu.it/evento/pisa-e-informatica/?event_date=2018-03-21
Big day for a hoard of my students graduating today with ML theses!
Antonio Bruno developed a deep learning model for learning tree transductions in the LISTIT project.
Andrea Bongiorno proposes a new deep architecture for reservoirs based on concentric topologies.
Federico Errica discussed (cum Laude!) a new deep generative model for contextual processing of graphs.
Alessio Gravina studied how to help clinicians in early prediction of BPD in low birth-weight infants.
Many congrats as well to Ahmed Alleboudy and Ruben Matino whom I followed in their external theses as UNIPI supervisor.
Check out this opportunity of meeting and discussing with world leaders in AI at ACDL 2018, Certosa di Pontignano, Siena, July 19-23 2018.
The course will feature lectures from Yoshua Bengio, Yann Lecun, Marco Gori, Peter Norvig, Alex Pentland and many others.
The Intelligent Systems for Pattern Recognition (ISPR) course will start on Monday 19/02/2018.
First lecture will be in Room C1, Polo Fibonacci, at 14.00.
For further details, please check the official webpage of the course here.
First congratulations to my student Daniele for his first scientific paper:
Mixture of Hidden Markov Models as Tree Encoder. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), i6doc.com, Louvain-la-Neuve, Belgium, 2018, ISBN: 978-287587047-6.
Great success also for the Deep Learning in Bionformatics special session I am co-organizing. We received an high number of great quality papers but only 20% had to be chosen for the oral plenary. Check out the program here!
The official webpage of the course is now available here with preliminary information.
Please check out for updates in the following weeks.
A paper on generative tree kernels has just been accepted for publication on the prestigious IEEE Transactions on Neural Networks and Learning Systems. Nice Christmas gift for my and my co-authors, Alessio Micheli and Alessandro Sperduti!
Generative Kernels for Tree-Structured Data. In: Neural Networks and Learning Systems, IEEE Transactions on, 2018, ISSN: 2162-2388 .
Thanks to the CHPC Organizers for inviting me over to deliver a keynote on upcoming research challenges of deep learning in HPC.
Thanks to my student Federico Errica, it is now available the official Python release for the Bottom-up Hidden Tree Markov model.
The Python code for the model can be downloaded on Federico’s Github.
A paper on randomized neural networks for preference learning with physiological timeseries data has just been accepted for pubblication on the Neurocomputing journal. Congratulations to my Biobeats collaborators!
Randomized neural networks for preference learning with physiological data. In: Neurocomputing, vol. 298, pp. 9-20, 2018.