New paper accepted at forthcoming IEEE SSCI 2017 showing how you can go deep an wide on tree structured data processing using an hybrid neuro-probabilistic model.
Yearly Archives: 2017
Deep Learning special session at ESANN 2018
New upocoming special session: I am co-organizing a Deep Learning in Bioinformatics and Medicine session at ESANN 2018.
The session is intended for researchers (from both the deep learning and the bioinformatics communities) who develop, investigate, or apply deep learning methods on biomedical and chemistry data.
Deadline for paper submission: 20 November 2017.
Prospective contributors/participants can contact me (or another co-organizer) for details.
Organized by: Miguel Atencia (Universidad de Málaga, Spain), Davide Bacciu (Università di Pisa, Italy), Paulo J. G. Lisboa (Liverpool John Moores University, United Kingdom), Jose D. Martin, (Universitat de València, Spain), Ruxandra Stoean (University of Craiova, Romania), Alfredo Vellido (Universitat Politècnica de Catalunya, Spain)
First graduate for the LISTIT project
Congratulations to Daniele Castellana who has just completed his Computer Science master with a Cum Laude thesis on learning structured transductions between trees through a probabilistic approach.
DropIn-ESN software out
New Graduates in the CI&ML group!
Congratulations to two M.Sc. students who have just completed their Computer Science master with two theses on machine learning.
Marco Podda studied how to help clinicians in predicting and understanding the causes of mortality in low birth-weight infants.
Cosimo Ragusa developed ReCoPy, a state-of-the-art neural networks library for Reservoir Computing in Python.
Dropout paper @IJCNN2017
How can you use Dropout to handle missing inputs in recurrent neural network? A nice paper by my student Francesco Crecchi is going to answer this at IJCNN2017
Paper accepted @ESANN2017
The joint research work with the Biobeats guys has produced an offspring which will be presented at ESANN 2017:
See you soon in Bruges!