Category Archives: deep learning

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!

Citizen Brain – AI&Politics Talk at Internet Festival

On Friday 12 October 2018 (15.00h) I will be giving a joint talk with my student Andrea Valenti at Internet Festival 2018 on the use of AI techniques to create fake political news and social posts (details follow)

The session will also host contributions from Lercio.

Event Details (in Italian)

Citizen Brain – La Comunicazione Politica al Tempo del Deep Learning

Venerdì, 12 ottobre 2018 –  15:00-18:30 – Centro Congressi Le Benedettine

L’oratoria politica è un’arte millenaria che crea consenso, movimenti di opinione e influenza le decisioni. Nel tempo si è evoluta nel genere, nei toni e nei canali di divulgazione. Oggi la comunicazione politica si trova spesso inserita quotidianamente nei social media, dove la produzione e pubblicazione di contenuti può essere automatizzata sfruttando tecnologie di Intelligenza Artificiale. Corriamo il rischio di campagne elettorali condotte da Bot politici? Sei (e forse più) discorsi politici in cerca d’autore ci sveleranno quanto siamo distanti dal realizzare un ghost writer artificiale.

L’evento è gratuito e liberamente accessibile sino a esaurimento posti. La prenotazione è obbligatoria per scuole e gruppi numerosi e consigliata per i visitatori singoli.

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)

Paper on deep learning for tree transductions

A new paper for the LISTIT project has just been accepted for the IEEE SSCI 2018. Check out our sentence summarization approach using parse tree transductions!

Bacciu Davide, Bruno Antonio: Text Summarization as Tree Transduction by Top-Down TreeLSTM. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI'18), IEEE, 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