Paolo Frasconi

I'm a full professor of Computer Science at DINFO, University of Florence. I have been an Associate Professor at Dipartimento di Sistemi e Informatica from 2000 to 2010, and an Associate Professor at the University of Cagliari from 1998 to 2000. I've been a Visiting Professor at KU Leuven in 2010, a Lecturer at the University of Wollongong, Australia in 1998, and a Visiting Scholar at MIT in 1992.

My research interests are in the area of machine learning, with particular emphasis on algorithms for structured and relational data, learning with logical representations, and applications to bioinformatics. In these areas I've written over 180 refereed papers. You may find my list of publications on my Scholar profile and on this page.

Among other activities, I'm an Associate Editor of the Machine Learning Journal. I co-chaired the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (2016), the Int. Conference on Prestigious Applications of Artificial Intelligence (PAIS) 2012, the AAAI 2010 Special Track on AI and Bioinformatics, the 20th International Conference on Inductive Logic Programming (2010), and the 5th International Workshop on Mining and Learning with Graphs (2007).

I'm head of the regional PhD Program in Smart Computing of the Universities of Florence, Pisa and Siena.

Research

I'm interested in machine learning and its applications. In particular I've been working on recurrent and recursive neural networks, kernel methods, and graphical models for learning with structured/relational data. I'm also interested in bridging statistical learning and symbolic (logic-based) approaches. These ideas have led to systems such as kFOIL (Landwher et al. 2006; 2010), type extension trees (Frasconi et al. 2008; Jaeger et al. in preparation), and more recently kLog (Frasconi et al. 2012). Application areas of my interest include bioinformatics (in particular protein structure and function, molecular activity), natural language processing, computer vision.

Servers & software

Brain cell finder
is a tool for fully automated localization of soma in 3D mouse brain images acquired by confocal light sheet microscopy
kLog
is a logical and relational language for kernel-based learning embedded in Prolog.
MLOCSR
converts bitmap images of chemical structural formulae into machine readable vector formats (such as MOL and SDF).
MetalDetector
A predictor of protein metal binding state. Source code, Dataset
DISULFIND
A predictor of cysteines bonding state and disulfide bridges.
Disulfinder
A standalone version of DISULFIND, available on Ubuntu 12.04+ and Debian Sid+
kFOIL
Learning simple relational kernels (written by Niels Landwehr and Andrea Passerini)
Type Extension Trees
a powerful representation language for "count-of-count" features characterizing the combinatorial structure of neighborhoods of entities in relational domains (written by M. Lippi).
MLNGTS
Markov Logic Networks with Grounding-Specific Weights, a mod of the Alchemy system (written by M. Lippi).
3DDK
3D and 2D Decomposition Kernels for classification of small molecules (written by A. Ceroni and F. Costa).
WDK
Weighted Decomposition Kernels (C++ Implementation; written by F. Costa).

Books

ECML16
ECMLPKDD 2016

Frasconi, Paolo, Niels Landwehr, Giuseppe Manco, and Jilles Vreeken. Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2016, Riva del Garda. LNAI 9851-9852. Springer. ISBN 978-3-319-46128-1

ECAI12
ECAI 2012

De Raedt, Luc, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, and Peter J. F. Lucas, (2012). ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012. ECAI Frontiers in Artificial Intelligence and Applications. IOS Press

ILP2010
ILP 2010

Frasconi, Paolo and Francesca A. Lisi (2011). Inductive Logic Programming: 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010, Revised Papers. Springer. ISBN 978-3-642-21294-9

april
Probabilistic ILP

De Raedt, Luc, Paolo Frasconi, Kristian Kersting, and Stephen Muggleton (2008). Probabilistic Inductive Logic Programming --- Theory and Applications. Springer. ISBN 978-3-540-78651-1

Web
Modeling the Internet

Baldi, Pierre, Paolo Frasconi, and Padhraic Smyth (2003). Modeling the Internet and the Web: Probabilistic Methods and Algorithms. John Wiley \& Sons. ISBN 978-0-470-84906-4

ILP2010
AI4BIO NATO School

Frasconi, Paolo and Ron Shamir (2003). Artificial Intelligence and Heuristic Methods for Bioinformatics. IOS Press. ISBN 978-1-58603-294-4

Service

 

Chair

Area chair

PC member/reviewer (recent)

Other past events

 

Services for my university

Teaching

Office hours

Tuesday, 10:45-12:45

Current courses

Fall 2017 B024317 - Machine Learning
Laurea Magistrale in Ingegneria Informatica (B070), Laurea Magistrale in Informatica (B059)
Fall 2017 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica (B047)

Past courses

Fall 2016 B024317 - Machine Learning
Laurea Magistrale in Ingegneria Informatica (B070), Laurea Magistrale in Informatica (B059)
Fall 2016 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica (B047)
July 2016 Machine Learning
Master on Big Data Analytics and Technologies for Management
April 2016 Deep Learning
PhD Program in Computer Science and Computational Mathematics. Univ. Insubria
March 2016 Deep Learning
Doctoral School in Information and Communication Technology, Univ. Trento
February 2016 Deep Learning
Doctoral Program in Smart Computing, Univ. Firenze
Fall 2015 B024317/8 - Machine Learning
Laurea Magistrale in Ingegneria Informatica (B070), Laurea Magistrale in Informatica (B059)
Fall 2015 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica (B047)
2014/2015 B010476 - Apprendimento Automatico (Machine Learning)
Laurea Magistrale in Ingegneria Informatica, Laurea Magistrale in Informatica
2014/2015 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica
Spring 2014 Advanced Machine Learning
Information and Communication Technology Doctoral School, Trento
2013/2014 B010476 - Apprendimento Automatico (Machine Learning)
Laurea Magistrale in Ingegneria Informatica. Laurea Magistrale in Informatica
2013/2014 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica
2012/2013 B010476 - Apprendimento Automatico (Machine Learning)
Laurea Magistrale in Informatica
2012/2013 B003725 - Intelligenza Artificiale (Artificial Intelligence)
Laurea in Ingegneria Informatica
2009/2010 B003368: Algoritmi e Strutture Dati (Algorithms and Data Structures)
Laurea in Ingegneria Informatica

Contacts

DINFO — Università degli Studi di Firenze.
Via di Santa Marta 3, I-50139 Firenze, Italy.
Room 552

+39 (055) 275-8647

Directions. From Firenze main train station (Santa Maria Novella) take Bus #4. Public transit and car directions available below:

Once there... The Santa Marta building is beatiful but rather old. Room numbers do not follow any rational pattern and finding your way may be a bit challenging. The plan below may help (note however it was done before renewing). Both my office (red) and my lab (green) are shown.