Category Archives: scientific committee

New year updates

Quite a busy semester, hence long time no posts. Lets start the year with a bunch of good news.

Our book on Deep Learning in Biology and Medicine, edited with Paulo Lisboa, and Alfredo Vellido, is finally available for preorder. Check it out here!

Davide Bacciu, Paulo J. G. Lisboa, Alfredo Vellido: Deep Learning in Biology and Medicine. World Scientific Publisher, 2022, ISBN: 978-1-80061-093-4.

July 2022 is going to be a busy month in Padova with the organization of IEEE WCCI 2022, including

  • 1st Pervasive Artificial Intelligence Workshop co-chaired with Antonio Carta (Università di Pisa), Patrizio Dazzi (ISTI-CNR),  Magdalini Eirinaki (San Jose State University), Iraklis Varlamis (Harokopio University of Athens) – Deadline early April 2022
  • Deep learning for graphs special session, co-chaired with Shirui Pan (Monash University), Daniele Grattarola (IDSIA), Miao Zhang (Aalborg University), Nicolò Navarin (University of Padova), Feng Xia (Federation University Australia), Daniele Zambon (IDSIA) – Deadline 31st January 2022

Learning for graphs session @WCCI2020

I am happy to announce that I will be co-organizing a WCCI-2020 special session on Learning Representations for Structured Data together with Filippo Maria Bianchi (UIT), Thomas Gärtner (University of Nottingham), Nicolò Navarin (University of Padova) and Alessandro Sperduti (University of Padova)

Paper submission deadline is 15 January 2020 (extension pending).

Send you work through the conference submission site!

Special session on tensor methods for deep learning @ESANN2020

I am co-organizing with Danilo Mandic a special session on “Tensor Decompositions in Deep Learning” at ESANN 2020.

We welcome solid contributions and preliminary relevant results showing potential, limitations and challenges of new ideas related to the use of tensor decompositions in deep learning, neural networks, and machine learning at large.

Deadline for paper submission: 18 November 2019.

Prospective contributors/participants can contact me (or another co-organizer) for details.

Organized by Davide Bacciu (University of Pisa,Italy), Danilo Mandic (Imperial College, UK).

Learning on Graphs and Explainable ML sessions @IJCNN 2019

I am co-organizing two special sessions at IJCNN 2019 next summer:

  • Special Session on Explainable Machine Learning, organized by Davide Bacciu (University of Pisa), Paulo J.G. Lisboa (Liverpool John Moores University), José D. Martín-Guerrero (Universitat de Valencia), Alfredo Vellido (Universitat Politècnica de Catalunya)
  • Special Session on Learning Representations for Structured Data, organized by Davide Bacciu (University of Pisa), Thomas Gärtner (University of Nottingham), Nicolò Navarin (University of Padova) and Alessandro Sperduti (University of Padova)

Paper submission deadline is 15 December 2018 (extension pending).

Send you work through the conference submission site!

Special session on societal issues in machine learning @ESANN2019

I am co-organizing a special session at the upcoming ESANN 2019 on societal impacts of artificial intelligence, covering privacy, safety, ethical and fairness issues of machine learning.

We welcome contributions both from a theoretical and methodological side, as well as studies stemming from major research initiatives and projects focusing on the session topics.

Deadline for paper submission: 19 November 2018.

Prospective contributors/participants can contact me (or another co-organizer) for details.

Organized by Davide Bacciu (University of Pisa,Italy), Battista Biggio (University of Cagliari, Italy), Paulo J. G. Lisboa, (Liverpool John Moores University, U.K.), José D. Martín (Universitat de València, Spain), Luca Oneto (University of Genoa, Italy), Alfredo Vellido (Universitat Politècnica de Catalunya, Spain)

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.

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)

Good news in ESANN 2018 program

First congratulations to my student Daniele for his first scientific paper:

Bacciu Davide, Castellana Daniele: 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!