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.
Monthly Archives: November 2017
New journal paper accepted
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.
Organizing a Deep Learning Special Session @WCCI2018
New upocoming special session: I am co-organizing a Deep Learning for Structured and Multimedia Information (DEEPSM) session at WCCI2018.
The session is meant to attract researchers working on the next generation of deep learning models for machine vision and multimedia information which are capable of extracting and processing information in a structured representation and/or with a multimodal nature.
Work in progress for securing sponsorship for best paper awards.
Deadline for paper submission: 15 January 2018.
Prospective contributors/participants can contact me (or another co-organizer) for details.
Organized by: Davide Bacciu (Università di Pisa, Italy), Silvio Jamil F. Guimarães (PUC Minas, Brazil) and Zenilton K. G. Patrocínio Jr (PUC Minas, Brazil).
New Ph.D. Students
Welcome to four new Ph.D. students joining the Machine Learning group under my supervision: Antonio Carta, Daniele Castellana, Francesco Crecchi and Marco Podda.
Looking forward to be working with you guys!