Yearly Archives: 2018

Special issue on Deep Learning and AI for Robotics

A research topic on “Scaling up Robotic Intelligence by Combining Symbolic AI with Deep Learning“, edited by Davide Bacciu, Amy Loutfi and Pieter Simoens, has just been launched as part of the Frontiers in Robotics and AI and Frontiers in Neurobotics journals.

We are now soliciting submission of manuscripts on the topic: manuscript submission deadline is on 10 December 2018 (with a non compulsory pre-submission abstract on November the 15th).

Check out the topic webpage or contact the editors for more information.

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.

Bacciu Davide, Errica Federico, Micheli Alessio: 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)

Deep Learning for biomedical data now in Bruges (with best paper award!)

Snapshots of our special session on Deep Learning for Biomedical Data now running @ESANN 2018

The picture shows the winner of the conference Best Student paper award, which was presented in our special session. Congratulations to the authors!! Paper details below the pic.

Jan Wülfing, Sreedhar Saseendran Kumar, Joschka Boedecker, Martin Riedmiller, Ulrich Egert, Controlling biological neural networks with deep reinforcement learning, Best Student Paper Award at ESANN 2018

Deep concentric reservoir paper @IJCNN-WCCI 2018

A paper on a deep concentric reservoir architecture has just been accepted for IJCNN 2018! Congratulations to my student Andrea Bongiorno for his first work!

Now available on Arxiv!

Bacciu Davide, Bongiorno Andrea: Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN 2018) , IEEE, 2018.

Congratulations to new graduates!

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.