Our tutorial on Deep Learning for Graphs will be presented at “INNS Big Data and Deep Learning 2019”: check out program and dates here.
Category Archives: news
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.
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!
Text Summarization as Tree Transduction by Top-Down TreeLSTM. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI'18), IEEE, 2018.
Our preterm survival score out on Nature Reports! (now with software)
Congratulations to my student Marco Podda for his first journal paper on a ML-based preterm infant survival score.
It comes with a webservice to compute the score on new data here and with the code to train it here.
And we are now also hitting the news:
https://www.unipi.it/index.php/news/item/13511-dall-intelligenza-artificiale-uno-strumento-per-valutare-la-sopravvivenza-dei-neonati-prematuri
http://www.pisatoday.it/salute/valutazione-neonati-prematuri-pisa.html
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor. In: Nature Scientific Reports, vol. 8, 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.
Tutorial @ ECML-PKDD 2018
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.
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.
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