Our tutorial on Deep Learning for Graphs has been accepted at the ECML conference, this Septembre in Dublin.
Tutorial date: 14th September 2018.
Check out program and details here.
Monthly Archives: May 2018
Paper accepted @ ICML 2018
A paper on deep learning for graphs has just been accepted at ICML 2018!
Congratulations in particular to our student Federico Errica for his debut in research.
Available now on Arxiv.
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018.
Organizing special session @CIBB2018
I am co-organizing a special session on Machine explanation – Interpretation of Machine Learning Models for Medicine and Bioinformatics at the upcoming CIBB 2018.
Deadline for paper submission: 10 June 2018.
The aim of the session is to report original research and case studies where deep and machine learning models are explained and verified using clinical or bioinformatics knowledge.
Prospective contributors/participants can contact me (or another co-organizer) for details.
Organized by: Davide Bacciu (Università di Pisa, Italy), Ian Jarman (Liverpool John Moores University, United Kingdom), Jose D. Martin, (Universitat de València, Spain), Alfredo Vellido (Universitat Politècnica de Catalunya, Spain)
Survey paper on tree distributions
A survey paper on learning tree distributions through hidden Markov tree models as been accepted for the 2018 FLOC workshop on Learning and Automata (LearnAut’18).
Learning Tree Distributions by Hidden Markov Models. Proceedings of the FLOC 2018 Workshop on Learning and Automata (LearnAut'18), 2018.